Open Access

Understanding Brassicaceae evolution through ancestral genome reconstruction

  • Florent Murat1,
  • Alexandra Louis2, 3, 4,
  • Florian Maumus5,
  • Alix Armero1,
  • Richard Cooke6,
  • Hadi Quesneville5,
  • Hugues Roest Crollius2, 3, 4 and
  • Jerome Salse1Email author
Contributed equally
Genome Biology201516:262

Received: 8 September 2015

Accepted: 27 October 2015

Published: 10 December 2015

The Erratum to this article has been published in Genome Biology 2016 17:64



Brassicaceae is a family of green plants of high scientific and economic interest, including thale cress (Arabidopsis thaliana), cruciferous vegetables (cabbages) and rapeseed.


We reconstruct an evolutionary framework of Brassicaceae composed of high-resolution ancestral karyotypes using the genomes of modern A. thaliana, Arabidopsis lyrata, Capsella rubella, Brassica rapa and Thellungiella parvula. The ancestral Brassicaceae karyotype (Brassicaceae lineages I and II) is composed of eight protochromosomes and 20,037 ordered and oriented protogenes. After speciation, it evolved into the ancestral Camelineae karyotype (eight protochromosomes and 22,085 ordered protogenes) and the proto-Calepineae karyotype (seven protochromosomes and 21,035 ordered protogenes) genomes.


The three inferred ancestral karyotype genomes are shown here to be powerful tools to unravel the reticulated evolutionary history of extant Brassicaceae genomes regarding the fate of ancestral genes and genomic compartments, particularly centromeres and evolutionary breakpoints. This new resource should accelerate research in comparative genomics and translational research by facilitating the transfer of genomic information from model systems to species of agronomic interest.


Evolution Genome Ancestor Synteny Repeats Polyploidization


The Brassicaceae family is one of the major groups of the plant kingdom, being composed of more than 3600 species grouped in 321 genera assigned into 49 tribes [13]. Understanding the evolutionary history of extant genomes is the primary objective of comparative genomics research, fueled by the rapid increase in the availability of new genome assemblies. Ancestral genome reconstruction, the field of paleogenomics, delivers a common reference to study the evolution of descendants and is a natural and logical standpoint to obtain a chronological view of evolutionary processes. The Brassicaceae constitute a model clade for paleogenomics, given the availability of sequenced genomes such as Arabidopsis thaliana, Arabidopsis lyrata, Capsella rubella, Brassica rapa and Thellungiella parvula. These species represent the Brassicaceae lineages I and II, derived from a common ancestor ≈ 20 million years ago (hereafter mya), and include two closely related tribes: the Camelineae (A. thaliana, A. lyrata, C. rubella) and the Calepineae (B. rapa, representative of the Brassiceae, and T. parvula, representative of the Eutremae).

A. thaliana was the first plant genome to be sequenced [4], chosen partly for its phylogenetic relationship to agriculturally important Brassica species, thus greatly stimulating comparative genomics and evolutionary research in this family. Parkin et al. [5] first defined 21 genomic blocks (GBs) common to the B. rapa and A. thaliana genomes based on restriction fragment length polymorphism mapping data. Using genetic maps and comparative chromosomal painting (CCP) with pools of tens to hundreds of Arabidopsis bacterial artificial chromosome (BAC) clones arranged according to the genetic maps of A. lyrata and C. rubella, Schranz et al. [6] defined 24 ancestral GBs (A–X in Schranz et al. [6]; and re-evaluated in Mandáková and Lysak [7] and Cheng et al. [8]). They proposed that extant genomes evolved from an ancestral Brassicaceae karyotype (ABK) made of eight chromosomes. This scenario has since been refined, still using the 24 GBs but including the recently published A. lyrata [9], C. rubella [10], T. parvula [11], and B. rapa [12] draft genome sequences. The ABK (n = 8) was proposed to have evolved through pericentromeric inversions followed by reciprocal translocation mechanisms [13] into a proto-Calepineae karyotype (PCK) of seven chromosomes, which was proposed to represent the diploid ancestral genome of hexaploid B. rapa [8]. Schranz et al. [6] detected 61 of the predicted 72 (3 × 24) GBs in B. rapa, whereas Cheng et al. [8] more recently described 105 blocks or sub-blocks in this genome. Therefore, although ancestral Brassicaceae karyotypes (i.e., study of chromosome number variation) have been proposed, largely based on low resolution pairwise genome comparisons using the 24 GBs, a precise gene-based paleogenomic inference of ancestral genomes through robust protochromosome reconstruction and definition of ancestral gene order is still lacking. The inferred ancestral Brassicaceae genomes are necessary to unveil evolutionary changes (large-scale chromosome fusion, fission and translocation, as well as smaller-scale analysis of gains and losses of genes and functions, evolution of repeats, etc.) and assign them to specific tribes (Brassiceae, Camelineae, Eutremae) and species (A. thaliana, C. rubella, A. lyrata, B. rapa and T. parvula).

The impact of the lineage-specific paleohexaploidization event on the extant Brassiceae genome architecture has been the subject of intense debate recently [8, 1416]. The triplicated Calepineae chromosomes reported in the extant B. rapa genome [17] experienced differential fractionation in gene content leading to the identification of three genomic compartments referred to as least fractionated (LF), medium fractionated (MF1) and most fractionated blocks (MF2), covering the ten modern B. rapa chromosomes [12, 1416]. Such subgenome dominance (also referred to as partitioning) following whole genome duplication (WGD) has also been characterized in grasses leading to post-WGD dominant (D, reduced duplicated gene loss or LF) and sensitive (S, enhanced duplicated gene loss or more fractionated (MF)) subgenomes in paleo- or neopolyploids [1821]. Genes retained in pairs or triplets after WGD in B. rapa tend to be enriched in functional categories such as transcriptional regulation, ribosomes, response to abiotic or biotic stimuli, response to hormonal stimuli, cell organization and transporter functions [22, 23]. Furthermore, genes located in the LF subgenome were proposed to be dominantly expressed over those located in the two proposed fractionated subgenomes (MF1 and MF2), suggesting that subgenome dominance in B. rapa acts at the level of both structures (retained ancestral genes in the D or LF compartment) and functions (dominant expression levels in this compartment [8]) of the considered genes. Single nucleotide polymorphism investigation at the population level between B. rapa accessions also tends to indicate a bias in mutation rates between D (or LF) and S (or MF) compartments, with genes located in LF compartments showing less nonsynonymous or frameshift mutations than genes in MF compartments [8]. Such a phenomenon following WGD complicates the identification of orthologous genes in B. rapa based on the A. thaliana genes. However, reconstruction of the Calepineae (or PCK) ancestral progenitors (i.e., with precise protochromosome structure and protogene content as well as orientation) would allow accurate elucidation of the fate of the paleohexaploidization event in Brassiceae in terms of extant genome architectures, largely unknown to date.

Here we report the gene-based reconstruction of a high resolution ABK and its two descendants, the Camelineae (ACK) and Calepineae (PCK) ancestral karyotypes. This is a prerequisite to investigating the evolutionary forces that have shaped extant Brassicaceae genomes at the chromosome (especially at synteny break points, paleo-centromeric regions, highly shuffled loci) and gene (especially between post-polyploidization LF and MF blocks) levels. Finally, the inferred ancestral Brassicaceae genomes allow accurate translational research of candidate genes for key applied agronomic traits from models to Brassicaceae crops based on a high-resolution evolutionary framework.


Reconstruction and evolutionary fate of the Brassicaceae ancestral genomes

Although an increasing number of genome sequences for Brassiceae species are available, the quality of assembly of only a few of them is sufficient to allow accurate evolutionary analyses at the whole genome level. For example, the availability of 59,102 non-assigned scaffolds of Aethionema arabicum was used in several gene-based evolutionary analyses [24], but is of limited use for large-scale synteny analyses aimed at reconstructing ancestral genome structures where scaffold assembly and anchoring onto chromosomes are necessary to avoid bias in ancestral genome reconstruction in terms of karyotype and gene content and order assessment. We thus selected the genomes of five sequenced extant Brassicaceae (A. thaliana, A. lyrata, C. rubella, B. rapa and T. parvula) and used phylogenetic relationships (including orthologs and paralogs, see “Materials and methods”) to reconstruct the ancestral genomes of the two major lineages (lineages I and II) of the family [25]. Previous analyses were based on 24 GBs, defined on the basis of Arabidopsis BAC contigs, and which therefore may at least partially reflect lineage-specific shuffling rearrangements that took place in A. thaliana. We used automatically reconstructed contiguous ancestral regions (CARs; also referred to as putative ancestral regions), which describe the order (gene-to-gene adjacencies) and orientation of ancestral genes, to reconstruct ancestral genomes. In a second step, manual CAR-scaffolding using an integrative approach based on the comparison of extant chromosome assignation led to the ABK and the PCK and ACK intermediates (Fig. 1a, see “Materials and methods”).
Fig. 1

Brassicaceae ancestral genomes and evolutionary scenario. a The extant Brassicaceae genomes as a mosaic of colored blocks that illustrate the ABK1–8 protochromosomes. The number of chromosomes and genes in extant species and reconstructed ancestors (with the number of ordered protogenes followed by the total number of protogenes in parentheses) are given in the figure. The gene gain and loss characterized during Brassicaceae evolution are shown as “ + ” and “-”, respectively, on the tree branches associated with a time scale on the right expressed in millions of years (mya). The hexaploidization of B. rapa is illustrated with a red star . b Dot plot representation of the synteny between the ABK1–8 (color code and y axis) and the extant Brassicaceae (A. thaliana, A. lyrata, C. rubella, B. rapa and T. parvula; x axis). The 24 synteny blocks (A–X) according to the ABC system [6] are shown on the ABK1–8 (y axis) chromosomes. Black arrows and red arrows illustrate reciprocal translations leading to ancestral chromosome fusion with centromere loss (chromosome number reduction) or without centromere loss (no reduction in chromosome number), respectively. c Top: Densities (based on 100-kb physical windows) of annotated genes (red curve), repeats (blue curve), non-ordered protogenes (green curve) and non-protogenes (purple curve) for the extant C. rubella chromosome 8 (corresponding to ABK8, pink). Bottom: Microsynteny between A. thaliana, A. lyrata, C. rubella and T. parvula for a non-ordered protogene density peak highlighted with a vertical black arrow in (b). Conserved genes are linked with black connecting lines. Ancestral genes (on ABK protochromosome 8) retained in extant species are shown as pink boxes and non-ancestral genes as gray boxes and tandemly duplicated genes (i.e., FBD domain-containing protein) as light blue boxes. d Substitution rate (Ks) and dating in millions of years (Mya) (x-axis) of the speciation events (blue horizontal lines) between A. thaliana (At), A. lyrata (Al), C. rubella (Cr), B. rapa (Br) and T. parvula (Tp) (y axis) illustrated as dot boxes

The ACK, from which A. thaliana, A. lyrata and C. rubella are derived, is reconstructed here in eight protochromosomes (i.e., long CARs of conserved gene adjacencies) containing 22,085 ordered protogenes, with a separate set of 8883 non-ordered protogenes that are either singletons (no ancestral adjacencies could be inferred) or part of small CARs (less than 50 genes), defining a total set of 30,968 protogenes. A. lyrata and C. rubella have retained this eight-chromosome structure in their modern genomes, whereas the five A. thaliana chromosomes have evolved through three reciprocal translocations (driving the transition from eight ACK to five A. thaliana chromosomes with the loss of three mini-chromosomes containing three paleo-centromeres (Fig. 2e, top scenario) and two translocations between the eight Camelineae protochromosomes (black and red arrows in Fig. 1b, left dot plot). We reconstructed the B. rapa and T. parvula ancestral karyotype into seven protochromosomes containing 21,035 ordered protogenes (for a total of 37,227 protogenes, among which 16,192 are unordered or in small CARs). From this time point, T. parvula (Eutremae species) underwent no major shuffling events, retaining seven chromosomes, whereas B. rapa (Brassiceae species) experienced a paleohexaploidization and numerous structural rearrangements to give an extant genome structured in ten chromosomes (Fig. 1b; see details in the next section).
Fig. 2

Distribution of repeats in the light of ancestral karyotype history. a Brassicaceae synteny. Schematic representation in circles of the A. thaliana, A. lyrata, C. rubella and T. parvula chromosomes according to a color code (illustrated on the right) highlighting the ancestral chromosome origins (ABK1–8, inner part of circle). Conserved genes between circles are linked with gray connecting lines. Functional and non-functional paleo-centromeres are illustrated as black ellipses and gray ellipses, respectively, on the chromosomes. Translocations and reciprocal translocations are illustrated as plain and dashed black double arrows, respectively. b Synteny between A. thaliana, A. lyrata, C. rubella and T. parvula regarding ABK1 (yellow) and ABK2 (red) protochromosomes where conserved genes are linked with gray connecting lines between extant chromosomes. The repeat density (deep/regular repeatome) is provided for C. rubella chromosomes 1 and 2 (top). c Deep repeatome (as percentage of TE coverage within 100-kb physical windows), regular repeatome (as percentage TE of coverage within 100-kb physical windows), recombination (Rho per kilobase), and deletion (as percentage of coverage within 100-kb physical windows) patterns on A. thaliana chromosome 1 (derived from the fusion of ABK1 and ABK 2, top) are shown as light blue, gray, green and dark blue curves, respectively. Colored arrows are as discussed in the text. d Microsynteny between A. thaliana, C. rubella and T. parvula at two inversion/translocation break points where conserved genes are linked with black connecting lines. Ancestral genes (from ABK1 and ABK2 protochromosomes) retained in extant species are shown as yellow boxes (deriving from ABK1) and red boxes (deriving from ABK2) and non-protogenes are shown as gray boxes. Local gene duplications are illustrated with red arrows. e Two scenarios of A. thaliana chromosome 1 evolution from ABK1 (yellow bars) and ABK2 (red bars). Empty circles and full circles correspond to telomeres and centromeres respectively; arrows indicate inversions and double arrows translocations

Finally, the most ancestral ABK is structured in eight protochromosomes containing 20,037 ordered protogenes (from a total of 36,892 protogenes, 16,855 of which are unordered). The parsimony of our method in reconstructing ancestral genomes is illustrated by the eight CARs from ABK containing 36,892 orthologous ancestral genes and covering 93 % (25,359 genes in ABK), 85 % (26,780 genes in ABK), 98 % (25,578 genes in ABK) and 92 % (23,257 genes in ABK), 92 % (36,415 genes in ABK) of the modern gene repertoire of, respectively, A. thaliana (27,206 genes), A. lyrata (31,481 genes), C. rubella (26,178 genes), T. parvula, (25,191 genes) and B. rapa (39,498 genes). The inferred ABK and associated robust orthologous relationships based on conserved gene adjacencies facilitate accurate transversal and non-biased calibration (Fig. 1d) for the timing of speciation events, with the ancestral Brassicaceae genome being older than 27 my (Fig. 1a). The reconstructed ancestral genomes are provided as Additional files 1, 2 and 3. Our data largely refine comparative genomics and genetics inferences of the Brassicaceae evolutionary history, previously based on 24 low resolution GBs that are now integrated into the reconstructed ABK1–8 chromosomes (Fig. 1b and Table 1).
Table 1

Comparison of the ABK and the extant Brassicaceae genomes of A. thaliana, A. lyrata, C. rubella, T. parvula, at the chromosome (1–8) and block (A–X) levels

ABK Chromosome

ABK Genes

AK System

ABC System

A. thaliana 5 chrs/27,206 genes

C. rubella 8 chrs/26,178 genes

A. lyrata 8 chrs/31,481 genes

T. parvula 7 chrs/25,191 genes




























































































































































































The inferred ancestral gene complements provide an immediate reference point to decipher gene gains and losses along the branches to the descendant genomes. On average, genes have been gained at a rate of 219 genes per million years, but lost at more than twice the rate, 541 genes per million years, with extreme variations between lineages (Fig. 1a). We examined how the reconstructed gene adjacencies in the ancestors may inform estimation of rates of local rearrangements that took place in the course of evolution in shaping the modern Brassicaceae species. A high rate of rearrangements during evolution will correlate with a loss of conserved gene adjacencies between the modern species, and thus with a higher proportion of singletons and small CARs (i.e., referenced here as non-ordered protogenes) in the reconstructed ancestors. Following this methodology and by comparing the extant C. rubella genome with its reconstructed ancestor, it clearly appeared that telomeric and centromeric regions of extant chromosomes coincide with higher numbers of C. rubella genes not included in the ordered protogene set (referred to as non-ordered protogenes in Fig. 1c, top) and which are, therefore, subject to considerable shuffling during evolution. Extensive rearrangements and local duplications have thus disrupted local gene adjacencies along C. rubella chromosome arms, resulting in local clusters where many ancestral genes could not be inserted into long CARs of the ancestral karyotypes (Fig. 1c, bottom). Interestingly, such local shuffling of loci also coincides with low gene densities and high transposable element densities in the extant C. rubella genome (r2 = 0.785 for transposable elements versus singletons in 100-kb windows). These results suggest that gene rearrangements in Brassicaceae have occurred in a non-random fashion, being concentrated at the extremities of chromosome arms (adjacent to telomeres and centromeres) and in specific loci where they are sources of synteny decay, making it more difficult to reconstruct ancestral gene content.

In conclusion, the Brassicaceae are derived from a diploid ancestor structured in eight protochromosomes containing 20,037 ordered protogenes that evolved over the last 27 my into extant species through enhanced structural plasticity at centromeres and telomeres as dynamic (duplication/inversion) loci.

Evolutionary fate of the Brassicaceae paleo-centromeres

The mechanisms driving paleo-centromere loss during chromosome number reduction from ancestral to modern karyotypes and responsible for maintaining functional monocentric neo-chromosomes remain largely unknown. The reconstruction of the three ancestral genomes presented here greatly facilitates the identification of syntenic relationships between extant genomes, which are signatures of shared ancestry that can be illustrated as concentric circles (Fig. 2a, gray connecting lines and color code; Table 1). This representation immediately reveals two important features. Firstly, paleo-centromeres (highlighted by the synteny erosion on the circles) are retained at orthologous positions in extant Brassicaceae species, corresponding to the functional centromeres in the eight chromosomes of A. lyrata and C. rubella. Secondly, ancestral centromeres are lost in the remaining extant Brassicaceae after ancestral chromosome fusions/translocations (plain and dashed arrows in Fig. 2a).

We investigated the fate of the eight ancestral Brassicaceae paleo-centromeres through chromosome fusions and rearrangements leading to the five extant monocentric chromosomes in A. thaliana. Fig. 1b illustrates A. thaliana chromosome 1 that results from the fusion of ABK1 (yellow protochromosome in Fig. 2b) and ABK2 (red protochromosome in Fig. 2b) and two inversions (indicated with black arrows). Overall, A. thaliana chromosome 1 can be simplistically modeled into seven different evolutionary compartments (deriving from the fusion and the two inversions), At1L1, At1L2, At1L3, At1cen, At1R1, At1R2 and At1R3 (Fig. 2c, bottom).

The synteny observed between A. lyrata, C. rubella and T. parvula for ABK1 and ABK2 allows precise identification of orthologous paleo-centromeres, illustrated as black ellipses and called paleoCentABK1 and paleoCentABK2 in Fig. 2b. Our enhanced detection of potentially ancestral repeats, the “deep” repeatome (see “Materials and methods”), reveals regions of significant repeat density in addition to those defined by the centromere–pericentromere spaces (At1cen in Fig. 2c). The locations of paleo-centromeres on C. rubella chromosome 1 correspond to the highest transposable element densities. Examination of the regular and deep repeatome landscape of A. thaliana chromosome 1 (Fig. 2c, gray and blue curves) shows that the extant centromere (At1cen) corresponds to paleoCentABK1. Following the ABK1–ABK2 fusion leading to A. thaliana chromosome 1, monocentry was re-established by the retention of the (peri)centromeric structure and function from paleoCentABK1 and the loss of paleoCentABK2 (Fig. 2b, c).

The At1R2 compartment, taking into account the fact that it is a pericentric inversion, shows a similar increasing density of repeats, which may represent remnants of paleoCentABK2, when compared with the orthologous pericentromeric locus from C. rubella 2 (Fig. 2c, red arrow). The At1R1 segment also projects onto an orthologous repeat-dense region in C. rubella (Fig. 2c, yellow arrow), suggesting that significant repeat density in this region may be an ancestral characteristic of the Brassicaceae karyotype. Detailed analysis of the microsynteny between A. lyrata, C. rubella and T. parvula at the two breakpoints flanking the inverted/translocated region At1R2 led to the identification of 5164-bp and 1384-bp intervals in which no remnants of telomeric or centromeric repeats were detected, suggesting that paleoCentABK2 was integrally deleted during ABK1–ABK2 fusion (Fig. 2d).

In order to investigate the consequence of the fusion (also referred to as pericentric inversion followed by reciprocal translocation; see the next section) of two homocentric ancestral chromosomes, ABK1–ABK2, leading to the extant A. thaliana chromosome 1, we investigated patterns of structural variations (i.e., deletions found across 80 Eurasian A. thaliana accessions [26]) and recombination (i.e., map of crossover frequency from the same study) at the population genetics level. When comparing the deletion profile observed for subtelomeric regions of the A. thaliana chromosome 1 short arm (At1L1 and At1L2) and long arm (At1R2 and At1R3), we observed that deletions are more frequent in the At1R2 segment (Fig. 2c, blue arrow) compared to other regions (Fig. 2c), suggesting that this region, corresponding to the inverted ABK2 segment, is prone to deletions. The recombination profile shows an overall increasing crossover frequency from telomeres to pericentromeres, suggesting a correlation between repeat density and crossover frequencies, although the centromere itself is crossover suppressed. However, some megabase-scale peaks in crossover frequencies that apparently do not correlate with repeat density were also reported along A. thaliana chromosome 1 [27]. Interestingly, when comparing the different A. thaliana chromosome 1 compartments defined above, we observed that At1R2 presents the highest recombination rates (Fig. 2c, green arrow).

Two distinct molecular mechanisms (Fig. 2e) have been reported to explain centromere loss after ancestral chromosome fusions [13, 28]. In the first scenario (Fig. 2e, top; adapted from Lysak et al. [13] and Wang et al. [12]) a pericentric inversion, involving the entire short arm of ABK2 and a reciprocal translocation (RTA) between the short arm end of ABK1 and the pericentric end of the inverted ABK2, resulted in the fused A. thaliana chromosome 1 (without remnants of ABK2 centromeric sequences) and the loss of the small translocation product that contains the entire centromere of ABK2 (plus two chromosome ends). In a second scenario (Fig. 2e, bottom; adapted from Wang et al. [28]), A. thaliana chromosome 1 was alternatively produced by end-to-end joining through reciprocal translocation between ABK1 and ABK2, followed by ABK2 centromere defunctionalization, a largely speculative or at least unknown process, and finally ABK2 pericentric inversion.

Overall, chromosome number reduction from ABK to extant Brassicaceae species occurred through ancestral chromosome fusions (more precisely reciprocal translocations) where monocentry of the fused chromosomes is recovered through pericentric inversions that may promote higher local recombination and deletion rates.

Fate of the ancestral karyotypes following polyploidization

The lineage-specific hexaploidization of B. rapa, leading to three subgenomes (LF, MF1 and MF2), has been the subject of intense studies and speculation (reviewed by Cheng et al. [16]). Our study revealed that the extant B. rapa genome derived from an n = 7 Calepineae ancestor (called “PCK” in the literature) with 21,035 ordered protogenes (from a total of 37,227 protogenes identified between B. rapa and T. parvula). The PCK evolved from ABK (eight protochromosomes covered by 20,037 ordered protogenes) through two reciprocal translocations (between ABK6 and ABK8) and one translocation (between ABK5 and ABK6/8) followed by one inversion on the newly formed ABK5/6/8, deleting the paleo-centromere of ABK8 (Fig. 3a, pink chromosome) and, finally, a reciprocal translocation between ABK2 and ABK5/6/8 (Fig. 3a, top).
Fig. 3

Impact of hexaploidization on the extant B. rapa genome architecture. a Evolution of the extant B. rapa chromosomes from the ABK1–8 (top) and PCK1–7 (center) protochromosomes. Evolutionary rearrangements in the course of the B. rapa paleohistory are detailed in dashed boxes according to a time scale on the right expressed in millions of years. Dot plots of the gene conservation between PCK (y-axis) and B. rapa (x-axis) are provided with a color code reflecting the ABK1–8 protochromosomes (left) and the LF–MF1–MF2 subgenomes (right), with black arrows indicating the modern centromere positions. Retained ancestral centromeres are illustrated as plain black dots whereas lost ancestral centromeres are shown as gray open circles. The extant B. rapa chromosomes (bottom) are illustrated as a mosaic of colored blocks reflecting the ancestral chromosomes (left) and the subgenomes (right) based on the number of ancestral genes retained as singletons, doublets or triplets (Venn diagram), thus defining the LF, MF1 and MF2 compartments. b The number of ancestral genes (from a PCK chromosome 6 region) within 100-gene windows on the post-hexaploidization extant chromosomes 10, 2, and 3 from B. rapa (top). The microsynteny locus between PCK6 and the extant post-hexaploidization relatives is highlighted in gray. The B. rapa chromosome 10 fragment appears entirely dominant (red) whereas B. rapa chromosomes 2 and 3 show exchanges of dominance/sensitivity (green and blue for MF1 and MF2, respectively). c Substitution rate (Ks, x- axis) distribution curves of gene pairs (number on the y-axis) for all detected pairs (blue), pairs located on LF–MF1 (red), LF–MF2 (green) and MF1–MF2 (purple) compartments. Ks distribution peaks are shown with colored arrows as described in the main text. d Gene ontology (GO) analysis of retained ancestral genes (left) and retained triplicated/duplicated genes (right). GO categories significantly enriched compared with the annotated B. rapa genes are illustrated with a color code at the bottom. e Gene connectivity characterization for singletons, retained pairs and retained triplicates in B. rapa. The color code reflects the nature of the considered genes (singletons, duplicates and triplicates) with regard to their physical location: LF (red), MF (green) and MF2 (blue). The grey bar (right) corresponds to the remaining specific genes from B. rapa not considered in the previous classes

The n = 7 PCK was then triplicated (hexaploidization), followed by fusion and fission events to reach the ten extant B. rapa chromosomes containing 39,498 genes. Fig. 3a (bottom left dot plot) shows the conservation between the ten B. rapa (x-axis) and seven PCK (y-axis) chromosomes with a color code illustrating the ABK1–8 protochromosomes. The detailed B. rapa paleohistory established that one paleo-centromere was lost between ABK and PCK on ABK8 (Fig. 3a, top, pink chromosome), through a translocation between ABK6 and ABK8, then fused to ABK5, leading to the monocentric ABK5-6-8 neochromosome. From the 21 post-hexaploidization PCK paleo-centromeres, we observed that the modern B. rapa centromeres derived from either a single paleo-centromere (for B. rapa chromosomes 1, 3, 4, 5, 6, 7, and 10 deriving from PCK 2, 2, 7, 1, 5, 3, and 6) or from the fusion of two retained ancestral centromeres (for B. rapa chromosomes 2, 8, and 9 deriving from PCK 5–6, 1–7, and 2–6) (Fig. 3a, bottom left dot plot, black circles). The remaining paleo-centromeres (one from PCK 1, 5, and 7; two from PCK 3; three from PCK 4) have been lost though pericentric inversions and translocations (Fig. 3a, bottom left dot plot, gray circles), as illustrated in the previous section for A. thaliana chromosome 1 (Fig. 2e).

Precise reconstruction of the PCK ancestor also offered the opportunity to investigate the number of PCK protogenes retained on the triplicated fragments in B. rapa. Brassiceae subgenomes (LF, MF1, MF2) have generally been investigated based on orthologous relationships, mostly with A. thaliana as a diploid representative of the B. rapa diploid ancestral karyotype [14, 15]. We re-assessed biases in ancestral gene retention since B. rapa derived from PCK and we found 506 protogenes retained as triplets and 7634, 3972 and 2395 retained as singletons in LF, MF1 and MF2 compartments, respectively (Fig. 3a, bottom; Table S4). Fig. 3a (bottom right dotplot) illustrates differences in ancestral gene retention (with a color code illustrating LF in red, MF1 in green and MF2 in blue) observed in the triplicated regions of the ten B. rapa chromosomes (x-axis). We reinvestigated the ‘two-step’ evolutionary theory [12] based on superimposed subgenome dominances by measuring retention of genes for 100-gene windows covering our reconstructed PCK chromosomes 1–7 (y-axis). MF1 and MF2 progenitors have been proposed in this theory to have become respectively dominant (D, reduced gene loss) and sensitive (S, enhanced gene loss) after a first hybridization event, and LF supradominant compared with MFI and MF2 as sensitive following a second hybridization event (Fig. 3a, middle). This gives a ranking of subgenome sensitivity forces in the extant B. rapa genome with MF2 (which underwent two rounds of sensitivity, making this compartment the most fractionated) > MF1 (which underwent opposite dominance/sensitivity in the frame of the hexaploidization event) > LF (considered as supradominant, making this compartment the least fractionated one) (Fig. 3a, middle). Overall, the inferred structure of the ancestral PCK genome provides new evidence for such a two-step evolutionary model between three progenitors (MF1, MF2 and LF) with a first hybridization between MF1 and MF2, followed by a second hybridization between MF1–MF2 and LF leading to the allohexaploid progenitor of the modern B. rapa genome.

We exploited the reconstructed PCK genome to investigate the chronology of such hexaploidization and diploidization events. According to the two-step theory, consisting of fusion of a diploid (LF) with a tetraploid (MF1–MF2) resulting in a hexaploid, two genomes (in our case MF1 and MF2) would have evolved concomitantly in the same nucleus for a longer period of time than the third (i.e., LF). If the observed difference in ancestral gene retention between LF, MF1 and MF2 reflects the two-step evolutionary model, MF1 and MF2 would have evolved separately from LF and may share reciprocal shuffling events absent from LF. To test this hypothesis we precisely investigated exchange of dominance/sensitivity (suggesting recombination events) between 100-genes windows covering the PCK chromosomes. Fig. 3b illustrates dominance/sensitivity exchanges observed on PCK6, showing ten large blocks of dominance/sensitivity exchange (black vertical arrows), possibly reflecting recombination events between MF1 (i.e., B. rapa chromosome 2) and MF2 (i.e., B. rapa chromosome 3), in contrast to a single recombination event observed between LF (i.e., B. rapa chromosome 10) and MF1 (red vertical arrow). Structural divergence at the gene level between LF, MF1 and MF2 is also observed in Fig. 3c by a comparison between distributions of silent substitution rates (Ks) for gene pairs between LF, MF1 and MF2 subgenomes where the following Ks ranking is expected from the youngest to the oldest: LF–MF1 > MF1–MF2 > LF–MF2. Mutiple Ks peaks are observed when comparing all gene duplicates (blue distribution curve and arrows) that can be associated with LF–MF1 (red distribution curve and arrow), LF–MF2 (green distribution curve and arrow) and MF1–MF2 (purple distribution curve and arrow) paralogs. Overall, the observed structural divergence, both at the gene level (i.e., low gene conservation with higher Ks values between MF1 and MF2 subgenomes) and, more interestingly, at the chromosome level (i.e., higher recombination events between MF1 and MF2 subgenomes) suggests an independent origin of LF and MF subgenomes and then single hybridization events between them (MF1–MF2 followed by MF1/MF–LF) in deriving B. rapa.

The inferred ancestral PCK genome allowed us to investigate the ontology of genes that have been preferentially retained in triplets in B. rapa after the hexaploidization event (Fig. 3d). When comparing the Gene Ontology (GO) categories associated with ancestral retained genes (Fig. 3d, left) with those associated with retained triplicated genes (Fig. 3d, right), structural molecule activity, transferase activity, transporter activity, binding and transcription regulators appear to be molecular functions resistant to the fractionation process (i.e., genes retained as pairs after WGD, p values <0.05). It has been proposed that gene dosage relations, maintained in stoichiometric equilibrium after a WGD due to functional redundancies between duplicated copies, are lost when one of the duplicates is deleted. This mechanism was first described in yeast and human [29] and the model refined through studies in Arabidopsis, maize and Drosophila [30]. Fates of duplicated genes in this scenario are considered through their roles in macromolecular complexes or networks [31]. Diploidization-resistant genes are considered to be those which are dosage-sensitive and whose products are involved in protein–protein interactions (referred to as ‘connected genes’ in networks such as transcription regulators) and their deletion or a modification of their product concentration will impact or unbalance the whole network. In contrast, diploidization-sensitive genes are considered to be dosage-insensitive, corresponding to functions involved in more stable processes which do not involve complex machinery, and which may return to a singleton state after WGD. We tested the impact of the gene product connectivity within networks as a driving force of ancestral gene retention as duplicates after WGD, using as a proxy the number of connections reported in the public B. rapa interactome (see “Materials and methods”). Fig. 3e shows that more than 50 % of ancestral PCK genes retained as pairs (between LF and MF1, LF and MF2 or MF1 and MF2) are connected with at least one other gene product in networks, with an increase of up to 70 % of connected genes in networks for protogenes retained as triplicates (between LF, MF1 and MF2). In contrast, ancestral genes which have returned to a singleton state (either in LF, MF1 or MF2) appear less connected within the investigated networks. Our data support the dosage balance hypothesis as a driving force of the post-polyploidization fractionation where genes for which their product is highly connected within networks may be preferentially conserved as duplicates/triplicates.

Overall, bias in gene functions and gene product connectivity within networks is observed between diploidization-resistant and -sensitive genes in favor of the gene dosage hypothesis as a driving mechanism of the observed subgenome dominance between LF, MF1 and MF2 subgenomes deriving from the allohexaploidization of three PCK progenitors through a two-step evolutionary model.

Integration of the referenced ABC system into our evolutionary ancestral karyotype system

The ABC nomenclature of syntenic blocks in Brassicaceae has been investigated since 2006 based on 24 conserved chromosomal blocks initially identified through the comparative genetic maps and comparative chromosome painting of A. thaliana and B. rapa [6] using BAC pools and has been proven to be extremely powerful for describing syntenic relationships between genomes. These blocks thus reflect the combined lineage-specific shuffling rearrangement that took place in both A. thaliana (from ABK to the five extant A. thaliana chromosomes) and in B. rapa (from ABK to PCK and to the ten extant chromosomes) (Fig. 4a, left). Consequently, this approach exaggerates the fragmentation of synteny relationships compared with the current paleogenomics study in which extant Brassicaceae genomes can now be simply presented as a mosaic of the eight ABK protochromosomes (instead of 24 GBs). It should be noted, however, that the ABC system is purely an operational set of conserved blocks from pairwise comparisons and therefore has no specific biological meaning, as no functional or evolutionary processes have been shown to be associated with these blocks. In addition, the ABC system has little meaning outside the Brassicaceae, because outgroups show direct syntenic relationships with the n = 8 ABK that either merge or split ABC blocks when using A. thaliana as a pivot (Fig. 1). Here, we simply integrated the ABC nomenclature into a coherent ancestral karyotype (AK) representation that is both consistent with the ABC nomenclature and meaningful from a broader evolutionary perspective that considers Brassicaceae as well as outgroups.
Fig. 4

A new ancestral karyotype (AK) system for translational research in Brassicaceae. a Synteny between Camelineae (A. thaliana as extant representative) and Calepineae (B. rapa as extant representative) based on 24 ABC blocks (referred to as blocks A–X; adapted from Schranz et al. [6]) and 16 AK blocks (AK1–16 from the current analysis). The order, orientation and color-coding of the ABC and AK blocks are based on their position in ABK as illustrated in Fig. 1. b Microsynteny at the FLC locus between A. thaliana, C. rubella, A. lyrata, T. parvula and B. rapa based on the ancestral block AK12

We thus integrated the ABC system (24 GBs) into our evolutionary AK system whose 16 blocks (corresponding to the long and short arms of ABK1–8) are covered by 14,163 genes conserved in all the investigated species. The correspondence between the AK (evolutionary set of ancestral blocks) and ABC (operational set of conserved blocks) systems is provided at the block level (Fig. 4a) as well as at the gene level (Table 1; Additional files 1, 2, 3 and 4). For any Brassicaceae of interest the AK system allows (i) robust identification of sets of orthologous gene pairs, (ii) generation of complete sets of chromosome to chromosome (or 16 blocks) relationships within and between genomes, and (iii) provision of a list of ordered protogenes within protochromosomes that can be used as a matrix for efficient marker development, genetic and physical map construction, annotation improvement and, ultimately, translational research from models to crops (Table 1). Indeed, efficient translation of structural genomic information from A. thaliana to B. rapa can be obtained from the current paleogenomics data and associated AK system, as illustrated by the example of the FLC locus (Fig. 4b). FLC is a MADS-box gene that drives the vernalization response in late-flowering ecotypes of A. thaliana. Our paleogenomics data provide the evolutionary scenario of the FLC locus since the ABK. It is clear from this that the FLC is an ancestral gene located on ABK6 that has been conserved in the extant species (C. rubella chromosome 6, A. thaliana chromosome 5, A. lyrata chromosome 6, T. parvula chromosome 6) and retained in three copies in B. rapa following the hexaploidization event [32]. This example illustrates the immediate access to robust orthologous relationships between species and the identification of putative functional orthologs in B. rapa from a candidate gene in A. thaliana.

Overall, the current study defines the n = 8 ABK in terms not only of large-scale chromosome architecture but also precise ancestral gene content (20,037 ordered protogenes based on 36,892 conserved genes) and provides a new AK standard system for the scientific community based on 16 conserved ancestral genomic blocks (covered by 14,163 genes conserved in all the investigated species). This will facilitate the translational research-based inference of candidate genes from models such as A. thaliana to Brassiceae crop species.

Discussion and conclusions

Reconstructed ancestral progenitors reveal the reticulate evolution of extant Brassicaceae

Previous phylogenetic and CCP investigations reported ancestral Brassicaceae karyotypes such as ABK (n = 8), PCK (n = 7) and translocated PCK (tPCK, n = 7), with ABK closely related to the extant A. lyrata and C. rubella genomes [6, 7, 33]. Up to now the ancestral Brassicaceae genome consisted of eight blocks of genes conserved between pairs of extant species, divided into 24 GBs [9]. In the current study these ancestral genomes have been entirely reconstructed for the Brassicaceae (ABK structured in eight chromosomes with 20,037 ordered protogenes based on a total set of 36,892 protogenes), Camelineae (ACK structured in eight chromosomes with 22,085 ordered protogenes based on a total set of 30,968 protogenes) and Calepineae (PCK structured in seven chromosomes with 21,035 ordered protogenes based on a total set of 37,227 protogenes), refining previous low resolution comparative genomics and genetics studies. The most recent study aimed at investigating the ancestral crucifer karyotype using a catalog of A. thaliana genes (alternatively blocks) putatively spanning the eight ancestral chromosomes [8]. The inferred ABK reconstruction we present here includes 30,968 protogenes based on conservation of gene adjacencies observed between five extant Brassicaceae genomes so that only 93 % (25,359 genes in ABK out of 27,206 annotated genes) of the modern A. thaliana gene repertoire can be considered as ancestral. The current data therefore represent a significant advance in understanding Brassicaceae evolution compared with published studies by considering plant genome evolution in general, and Brassicaceae evolution in particular, from the standpoint of ancestral genomes as a paradigm shift compared with current practice that has so far relied on pairwise comparisons of extant genomes or used a single pivotal or model genome such as A. thaliana.

These reconstructed progenitors allow us to refine the evolutionary events (chromosome fusion, fission, translocation as well as gains versus losses of genes, functions, repeats, etc.) and assign them to each specific lineage or species. In this context, genome rearrangements in the course of history appear to have been more active in particular compartments (i.e., centromeres, telomeres, duplication/inversion hotspots) so that evolutionary plasticity is partitioned in the extant Brassicaceae genomes. Following the polyploidization reported in B. rapa [12], the return to a diploid status (i.e., diploidization) took place by biased deletion of ancestral duplicated genes, leading to dominant (less fractionated, LF in B. rapa) and sensitive (more fractionated, MF1 and MF2 in B. rapa) subgenomes [8, 1416]. Considering the fate of PCK triplicated genes, the bias in gene functions and gene product connectivity within networks observed between diploidization-resistant and -sensitive genes is in favor of the gene dosage hypothesis as a driving mechanism of subgenome dominance between LF, MF1 and MF2. More interestingly, the fate of triplicated PCK genes in post-polyploidization homoeologous compartments in B. rapa at the block (between LF, MF1 and MF2) and gene (Ks analysis of duplets/triplets) levels is consistent with the allohexaploid (i.e., referenced two-step theory [14, 15]) origin of B. rapa from three closely related PCK progenitors. In this scenario MF subgenomes deriving from the first tetraploidization evolved concomitantly for a longer period of time than LF subgenomes derived from the second hybridization event. Ancestral PCK genes within MF subgenomes are therefore more structurally related to each other than to homoeologous LF genes.

Overall, through ancestral genome reconstruction, we observed that the evolutionary plasticity is partitioned in the Brassiceae genomes with labile fractions corresponding to transposable element-rich (centromeric) and dynamic (duplication/inversion hotspots such as telomeres) loci in extant diploids and more fractionated blocks in extant paleopolyploids as a consequence of the diploidization phenomenon.

Paleo-centromere loss as a major mechanism driving extant Brassicaceae evolution

Comparison of the ABK, ACK and PCK ancestors with the extant Brassicaceae species allowed the investigation of the fate of paleo-centromeres, either retained as extant functional centromeres or lost in the process of chromosome number reduction from ABK to present-day Brassicaceae. Chromosome number reduction from ABK (n = 8) to A. thaliana (n = 5) led to three centromere losses though pericentric inversion followed by reciprocal translocation [13]. Fine analysis of the extant A. thaliana chromosome 1, created by the fusion of ABK1 and ABK2, clearly established that only a single pericentromere, acting as the extant A. thaliana chromosome 1 centromere and corresponding to paleo-centromere ABK1, can be detected on the basis of the repeat density. The second paleo-centromere (from ABK2) has been efficiently erased, leaving only regions of a few kilobases on the extant chromosome. Altogether, our work illustrates how a heterogeneous distribution of repeats can be interpreted in the light of karyotype history.

This region of inversion/translocation, leading to the paleo-centromere ABK2 loss, appears to be a locus of intense plasticity with high deletion and recombination rates. Firstly, the high rate of deletions implies that DNA loss in this region generates structural variants among individuals and populations on which selection applies, apparently towards overall size reduction. Secondly, our analysis of crossing over frequencies in different A. thaliana chromosome 1 chunks suggests that this compartment is a privileged region for recombination. Overall, these observations may provide new clues about the potential benefits of chromosome rearrangements, by impacting the mixing of alleles within and across populations.

From the 21 post-hexaploidization PCK paleo-centromeres [16], we established that seven act as extant centromeres in B. rapa chromosomes 1, 3, 4, 5, 6, 7, and10, six have been fused into B. rapa chromosomes 2, 8, and 9, and the remaining eight lost through pericentric inversion following reciprocal translocations. Our current analysis shows that, when comparing the reconstructed ancestral genomes with their extant diploid (i.e., ABK versus A. thaliana) or paleopolyploid (PCK versus B. rapa) representatives, a general mechanism of chromosome reduction via fusions is observed, driven by centromere loss through inversion and translocation.

Overall, paleo-centromeres are either conserved, fused into a neo-centromere or lost by inversion and translocation, thus driving major structural rearrangements during chromosome number reduction to produce functional monocentric extant chromosomes.

Ancestral genomes for high-resolution translational research from model to crop genomes

Efficient transfer of information, such as candidate genes for traits of interest from model species to crops, mainly relies on the robust identification of functional orthologous genes between species. The current analysis provides ancestral genomes for the Brassicaceae (36,892 conserved genes), Camelineae (30,968 conserved genes), and Calepineae (37,227 conserved genes). It constitutes the most accurate repertoire of orthologous and paralogous relationships within Brassicaceae. Such a catalog can now be considered as a template to select orthologs from Arabidopsis in Brassiceae crops (such as B. rapa, Brassica oleraceae, Brassica nigra) for trait improvement, i.e., translational research.

Brassicaceae have been reported to share 24 GBs of collinear genes based on CCP and synteny analysis using A. thaliana as a pivotal genome compared with B. napus, A. lyrata and C. rubella [5, 6, 34]. These syntenic blocks are classically used in comparative genomics studies between Brassicaceae as representative of the ancestral chromosomes that generated present-day species. From the current paleogenomics investigation of the Brassicaceae, we deliver a new AK system consisting of crucifer building blocks that can be rearranged to model any extant Brassicaceae genomes as well as other crucifer species when additional genetics maps, cytogenetics and genomics data become available. Such an AK standard system integrating the operational ABC system (i.e., 24 GBs), which we propose for the scientific community based on 16 conserved ancestral genomic blocks (containing 14,163 highly transferable and conserved genes in all the investigated species), will also facilitate the translational research-based inference of candidate genes from models such A. thaliana to Brassiceae crop species.

Overall, the provided Brassicaceae evolutionary scenario and associated reconstructed ancestral genomes (ABK, ACK and PCK) can now be considered by the scientific community (i) as a standard system for comparative genomics analyses with future genome sequences and (ii) as a backbone in mapping expressional and epigenetics data to investigate accurately the evolutionary fate of transcriptomes and epigenomes in driving Brassiceae evolutionary success through polyploidization.

Materials and methods

Genome sequences

A. thaliana (Arabidopsis Genome Initiative, 2000), A. lyrata [9], C. rubella [10], T. parvula [11], and B. rapa [12] draft genome sequences were downloaded from Phytozome [35] ( For these extant species, we downloaded all the protein-coding sequences, together with their gene location and gene family name from the EnsemblGenome Compara database [36, 37].

CAR identification

The EnsemblAPI was used to extract sub-gene trees containing at least one protein from the species described above. We then integrated the proteins from species not included in EnsemblAPI using a methodology previously developed for vertebrate species [38]. Briefly, (1) we performed BLASTP comparisons between predicted protein sequences from each of the new species against the 18 species from EnsemblGenome, and filtered the results with a cutoff value of 10e-04, (2) we calculated the average family bitscores between a given family of protein sequences and each protein of the additional species to insert (if a protein was associated with more than one family, we chose the family with the highest average bitscore), and (3) we performed a multiple alignment using M-Coffee [39] and computed a new reconciled gene tree with the species tree using the Treebest pipeline [37]. We thus obtained families containing orthologous and paralogous plant genes which were used as input for the AGORA (Algorithm for Gene Order Reconstruction in Ancestor) program to infer the gene content of each ancestor as presented here. The order of the ancestral genes was computed independently for each ancestor. In a first step, for a given ancestor, pairwise comparisons of gene order were performed between all pairs of extant genomes connected by branches that cross the ancestral genome of interest (i.e., two direct descendants or a descendant and an outgroup). For example, to compute the gene order in ABK, 129 pairwise comparisons of extant species were computed and analyzed to infer the ancestral gene organization. Secondly, the pairwise comparisons were used to identify conserved gene adjacencies, which occur when two genes, a1 and b1 in species 1, are adjacent, and their respective orthologs, a2 and b2 in species 2, are also adjacent. We constrained this conservation of adjacencies by the fact that the two adjacent genes also conserved their transcriptional orientation. To deal with the fact that genes can be specific to certain lineages, AGORA first filters the two genomes to retain only genes present in their last common ancestor. The conserved gene pairs are then considered as potentially ancestral. In a third step, the common adjacencies are recorded and combined in a weighted graph where nodes represent genes and links between nodes the number of times the adjacency is conserved. At this stage, inconsistencies may appear in the form of ancestral genes connected to more than two neighbors. To resolve this, the graph is then processed using a top-down greedy algorithm where the links of highest weight are selected first and are used to select the most likely gene-to-gene adjacency in case of multiple choices and while avoiding cycles. The algorithm ends with a fragmented genome composed of linear paths for each ancestor (that we call contigs) connecting ancestral genes based on the number of times their respective descendants are observed as extant neighbors. After extraction of these linear paths for each ancestor, a second round of AGORA is performed, by comparing contig order instead of gene order. The algorithm thus compares adjacencies of contigs in each pairwise extant genome that is informative for an ancestor, and builds a graph of contig adjacencies. The graph is then linearized to obtain the final blocks (or scaffolds) of ancestral oriented gene order.

CAR scaffolding

For ABK, ACK and PCK, AGORA scaffolds with more than 50 genes were manually super-scaffolded based on chromosome synteny relationships between ancestral and extant genomes. For ABK, 20 scaffolds containing 20,037 genes (out of 461 scaffolds of minimum two genes) were super-scaffolded into eight chromosomes. For ACK, ten scaffolds containing 22,085 genes (out of 279 scaffolds of minimum two genes) were super-scaffolded into eight chromosomes and, finally, for PCK, 21 scaffolds containing 21,035 genes (out of 930 scaffolds of minimum two genes) were super-scaffolded into seven chromosomes for the reconstruction. All the karyotype reconstructions can be visualized and compared in a dedicated graphical browser [40] at

Inference of gene gain and loss

In order to get the net gene gain of ACK and PCK, we computed the number of ACK and PCK genes that were not present in ABK. The net gene gain is the number of genes in A. thaliana, A. lyrata, C. rubella and B. rapa and T. parvula that were not present in ACK and PCK. For the net gene loss, we computed ABK genes that do not exist in our reconstructed ACK and PCK ancestors. Finally the net gene loss in extant species corresponds to ACK and PCK genes that are not present in each extant species. The lineage- or even species-specific genes in C. rubella were considered in 100-kb sliding windows based on C. rubella genes that are ABK protogenes which are not among the ordered (20,037 protogenes) or the total set of protogenes (36,892 protogenes).

Regular and deep repeatome inference

The C. rubella deep repeat annotation was performed as described previously for A. thaliana [41]. Briefly, consensus sequences representative of repeated elements present in the C. rubella genome were constructed using TEdenovo from the REPET pipeline [41]. These sequences were used as probes to annotate the C. rubella genome with TEannot from the REPET pipeline [41]. The copies identified in the genome were then used in two ways: i) those bigger than 200 bp were used as probes to run TEannot a second time on the genome; ii) those of at least 100 bp and 75 % identity to the cognate consensus sequence were used as input to run P-clouds using 15-mers and the suite of parameters 2, 4, 3, 6, 12. The annotations obtained were combined to calculate repeat density.

LF, MF1 and MF2 identification in the B. rapa genome

Using as reference the seven PCK ancestral chromosomes, considered as the pre-triplication ancestor, we identified LF, MF1 and MF2 regions of the B. rapa genome based on the number of ancestral genes retained in 100-gene windows. For each region of 100 consecutive PCK genes, three regions are identified in B. rapa. The three regions are then referenced as LF (region with more genes, i.e., reduced ancestral gene deletion), MF2 (with the fewest genes, i.e., highest ancestral gene deletion) and MF1 for the intermediate (remaining region).

Network analysis

The public B. rapa interactome [42] was downloaded and we computed for each class of gene copies (LF, MF1, MF2, LF–MF1, LF–MF2, LF–MF1–MF2, B. rapa-specific genes) the proportion of genes that are connected with at least one partner within networks.

Gene ontology and Ks analysis

Using AgriGO software (, we identified GOs that are significantly (false discovery rate adjusted p value ≤0.05) and differently represented in all ancestral retained genes, and in LF–MF1–MF2 genes compared with the genes in the entire genome. The representation was generated using revigo software ( The size of blocks corresponds to the significance in terms of the false discovery rate of the different GO. Ks calculation was performed using the reference PAML package [43, 44].




ancestral Brassicaceae karyotype


ancestral Camelineae karyotype


ancestral karyotype


bacterial artificial chromosome


contiguous ancestral region


comparative chromosomal painting




genomic block


Gene Ontology


least fractionated


most fractionated


proto-Calepineae karyotype




whole genome duplication



This work was supported by a grant from the Agence Nationale de la Recherche (ANR Blanc-PAGE, ANR-2011-BSV6-00801, and ANR Investissement d’Avenir Ancestrome, ANR-10-BINF-01-03). We thank Hélène Berges, Arnaud Bellec, Emmanuelle Permal and Thomas Faraut for fruitful discussions in the frame of the ANR Blanc-PAGE program.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

INRA/UBP UMR 1095 GDEC ‘Génétique, Diversité et Ecophysiologie des Céréales’
Ecole Normale Supérieure, Institut de Biologie de l’ENS, IBENS
Inserm, U1024
CNRS, UMR 8197
INRA UMR 1164 URGI Route de Saint Cyr


  1. Bailey CD, Koch MA, Mayer M, Mummenhoff K, O’Kane Jr SL, Warwick SI, et al. Toward a global phylogeny of the Brassicaceae. Mol Biol Evol. 2006;23(11):2142–60.View ArticlePubMedGoogle Scholar
  2. Warwick SI, Mummenhoff K, Sauder CA, Koch MA, Al-Shehbaz IA. Closing the gaps: phylogenetic relationships in the Brassicaceae based on DNA sequence data of nuclear ribosomal ITS region. Plant Systemat Evol. 2010;285:209–32.View ArticleGoogle Scholar
  3. Koenig D, Weigel D. Beyond the thale: comparative genomics and genetics of Arabidopsis relatives. Nat Rev Genet. 2015;16(5):285–98.View ArticlePubMedGoogle Scholar
  4. Initiative AG. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000;408(6814):796–815.View ArticleGoogle Scholar
  5. Parkin IA, Gulden SM, Sharpe AG, Lukens L, Trick M, Osborn TC, et al. Segmental structure of the Brassica napus genome based on comparative analysis with Arabidopsis thaliana. Genetics. 2005;171(2):765–81.PubMed CentralView ArticlePubMedGoogle Scholar
  6. Schranz ME, Lysak MA, Mitchell-Olds T. The ABC’s of comparative genomics in the Brassicaceae: building blocks of crucifer genomes. Trends Plant Sci. 2006;11(11):535–42.View ArticlePubMedGoogle Scholar
  7. Mandáková T, Lysak MA. Chromosomal phylogeny and karyotype evolution in x = 7 crucifer species (Brassicaceae). Plant Cell. 2008;20(10):2559–70.PubMed CentralView ArticlePubMedGoogle Scholar
  8. Cheng F, Mandáková T, Wu J, Xie Q, Lysak MA, Wang X. Deciphering the diploid ancestral genome of the Mesohexaploid Brassica rapa. Plant Cell. 2013;25(5):1541–54.PubMed CentralView ArticlePubMedGoogle Scholar
  9. Hu TT, Pattyn P, Bakker EG, Cao J, Cheng JF, Clark RM, et al. The Arabidopsis lyrata genome sequence and the basis of rapid genome size change. Nat Genet. 2011;43(5):476–81.PubMed CentralView ArticlePubMedGoogle Scholar
  10. Slotte T, Hazzouri KM, Ågren JA, Koenig D, Maumus F, Guo YL, et al. The Capsella rubella genome and the genomic consequences of rapid mating system evolution. Nat Genet. 2013;45(7):831–5.View ArticlePubMedGoogle Scholar
  11. Dassanayake M, Oh DH, Haas JS, Hernandez A, Hong H, Ali S, et al. The genome of the extremophile crucifer Thellungiella parvula. Nat Genet. 2013;43(9):913–8.View ArticleGoogle Scholar
  12. Wang X, Wang H, Wang J, Sun R, Wu J, Liu S, et al. The genome of the mesopolyploid crop species Brassica rapa. Nat Genet. 2011;43(10):1035–9.View ArticlePubMedGoogle Scholar
  13. Lysak MA, Berr A, Pecinka A, Schmidt R, McBreen K, Schubert I. Mechanisms of chromosome number reduction in Arabidopsis thaliana and related Brassicaceae species. Proc Natl Acad Sci U S A. 2006;103(13):5224–9.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Cheng F, Wu J, Fang L, Sun S, Liu B, Lin K, et al. Biased gene fractionation and dominant gene expression among the subgenomes of Brassica rapa. PLoS One. 2012;7(5):e36442.PubMed CentralView ArticlePubMedGoogle Scholar
  15. Cheng F, Wu J, Fang L, Wang X. Syntenic gene analysis between Brassica rapa and other Brassicaceae species. Front Plant Sci. 2012;3:198.PubMed CentralView ArticlePubMedGoogle Scholar
  16. Cheng F, Wu J, Wang X. Genome triplication drove the diversification of Brassica plants. Horticulture Res. 2014;1:14024.View ArticleGoogle Scholar
  17. Lysak MA, Cheung K, Kitschke M, Bures P. Ancestral chromosomal blocks are triplicated in Brassiceae species with varying chromosome number and genome size. Plant Physiol. 2007;145(2):402–10.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Schnable JC, Freeling M, Lyons E. Genome-wide analysis of syntenic gene deletion in the grasses. Genome Biol Evol. 2012;4(3):265–77.PubMed CentralView ArticlePubMedGoogle Scholar
  19. Schnable JC, Wang X, Pires JC, Freeling M. Escape from preferential retention following repeated whole genome duplications in plants. Front Plant Sci. 2012;3:94.PubMed CentralView ArticlePubMedGoogle Scholar
  20. Murat F, Xu JH, Tannier E, Abrouk M, Guilhot N, Pont C, et al. Ancestral grass karyotype reconstruction unravels new mechanisms of genome shuffling as a source of plant evolution. Genome Res. 2010;20(11):1545–57.PubMed CentralView ArticlePubMedGoogle Scholar
  21. Murat F, Zhang R, Guizard S, Flores R, Armero A, Pont C, et al. Shared subgenome dominance following polyploidization explains grass genome evolutionary plasticity from a seven protochromosome ancestor with 16 K protogenes. Genome Biol Evol. 2014;6(1):12–33.PubMed CentralView ArticlePubMedGoogle Scholar
  22. Edger PP, Pires JC. Gene and genome duplications: the impact of dosage-sensitivity on the fate of nuclear genes. Chromosome Res. 2009;17(5):699–717.View ArticlePubMedGoogle Scholar
  23. Fang L, Cheng F, Wu J, Wang X. The impact of genome triplication on tandem gene evolution in Brassica rapa. Front Plant Sci. 2012;3:261.PubMed CentralView ArticlePubMedGoogle Scholar
  24. Haudry A, Platts AE, Vello E, Hoen DR, Leclercq M, Williamson RJ, et al. An atlas of over 90,000 conserved noncoding sequences provides insight into crucifer regulatory regions. Nat Genet. 2013;45:891–8.View ArticlePubMedGoogle Scholar
  25. Beilstein MA, Al-Shehbaz IA, Kellogg A. Brassicaceae phylogeny and trichome evolution. Am J Bot. 2006;93(4):607–19.View ArticlePubMedGoogle Scholar
  26. Cao J, Schneeberger K, Ossowski S, Günther T, Bender S, Fitz J, et al. Whole-genome sequencing of multiple Arabidopsis thaliana populations. Nat Genet. 2011;43(10):956–63.View ArticlePubMedGoogle Scholar
  27. Choi K, Zhao X, Kelly KA, Venn O, Higgins JD, Yelina NE, et al. Arabidopsis meiotic crossover hot spots overlap with H2A.Z nucleosomes at gene promoters. Nat Genet. 2013;45(11):1327–36.View ArticlePubMedGoogle Scholar
  28. Wang X, Jin D, Wang Z, Guo H, Zhang L, Wang L, et al. Telomere-centric genome repatterning determines recurring chromosome number reductions during the evolution of eukaryotes. New Phytol. 2014. doi:
  29. Papp B, Pál C, Hurst LD. Dosage sensitivity and the evolution of gene families in yeast. Nature. 2003;424(6945):194–7.View ArticlePubMedGoogle Scholar
  30. Birchler JA, Veitia RA. The gene balance hypothesis: implications for gene regulation, quantitative traits and evolution. New Phytol. 2010;186(1):54–62.PubMed CentralView ArticlePubMedGoogle Scholar
  31. Chang PL, Dilkes BP, McMahon M, Comai L, Nuzhdin SV. Homoeolog-specific retention and use in allotetraploid Arabidopsis suecica depends on parent of origin and network partners. Genome Biol. 2010;11(12):R125.PubMed CentralView ArticlePubMedGoogle Scholar
  32. Schranz ME, Quijada P, Sung SB, Lukens L, Amasino R, Osborn TC. Characterization and effects of the replicated flowering time gene FLC in Brassica rapa. Genetics. 2002;162(3):1457–68.PubMed CentralPubMedGoogle Scholar
  33. Koch MA, Kiefer M. Genome evolution among cruciferous plants: a lecture from the comparison of the genetic maps of three diploid species-Capsella rubella, Arabidopsis lyrata subsp. petraea, and A. thaliana. Am J Bot. 2005;92(4):761–7.View ArticlePubMedGoogle Scholar
  34. Parkin IA, Sharpe AG, Lydiate DJ. Patterns of genome duplication within the Brassica napus genome. Genome. 2003;46(2):291–303.View ArticlePubMedGoogle Scholar
  35. Goodstein DM, Shu S, Howson R, Neupane R, Hayes RD, Fazo J, et al. Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res. 2012;40:D1178–86.PubMed CentralView ArticlePubMedGoogle Scholar
  36. Kersey PJ, Staines DM, Lawson D, Kulesha E, Derwent P, Humphrey JC, et al. Ensembl Genomes: an integrative resource for genome-scale data from non-vertebrate species. Nucleic Acids Res. 2012;40:D91–7.PubMed CentralView ArticlePubMedGoogle Scholar
  37. Vilella AJ, Severin J, Ureta-Vidal A, Heng L, Durbin R, Birney E. EnsemblCompara GeneTrees: Complete, duplication-aware phylogenetic trees in vertebrates. Genome Res. 2009;19:327–35.PubMed CentralView ArticlePubMedGoogle Scholar
  38. Berthelot C, Brunet F, Chalopin D, Juanchich A, Bernard M, Noel B, et al. The rainbow trout genome provides novel insights into evolution after whole-genome duplication in vertebrates. Nat Commun. 2014;5:3657.PubMed CentralView ArticlePubMedGoogle Scholar
  39. Wallace IM, O’Sullivan O, Higgins DG, Notredame C. M-Coffee: combining multiple sequence alignment methods with T-Coffee. Nucleic Acids Res. 2006;34:1692–9.PubMed CentralView ArticlePubMedGoogle Scholar
  40. Louis A, Murat F, Salse J, Roest CH. GenomicusPlants: a web resource to study genome evolution in flowering plants. Plant Cell Physiol. 2015;56(1):e4.PubMed CentralView ArticlePubMedGoogle Scholar
  41. Maumus F, Quesneville H. Deep investigation of Arabidopsis thaliana junk DNA reveals a continuum between repetitive elements and genomic dark matter. PLoS One. 2014;9(4):e94101.PubMed CentralView ArticlePubMedGoogle Scholar
  42. Yang J, Osman K, Iqbal M, Stekel DJ, Luo Z, Armstrong SJ, et al. Inferring the Brassica rapa interactome using protein-protein interaction data from Arabidopsis thaliana. Front Plant Sci. 2013;3:297.PubMed CentralView ArticlePubMedGoogle Scholar
  43. Yang Z. PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci. 1997;13(5):555–6.PubMedGoogle Scholar
  44. Yang Z. PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007;24(8):1586–91.View ArticlePubMedGoogle Scholar


© Murat et al. 2016