- Open Access
Life at the extreme: lessons from the genome
© BioMed Central Ltd 2012
Published: 6 March 2012
Extremophile plants thrive in places where most plant species cannot survive. Recent developments in high-throughput technologies and comparative genomics are shedding light on the evolutionary mechanisms leading to their adaptation.
Recent studies on extremophile genomes and transcriptomes
Enriched cDNA library
NGS - genome/transcriptome
EST sequencing; enriched cDNA library
EST sequencing; enriched cDNA library
EST sequencing; enriched cDNA library
EST sequencing; enriched cDNA library
NGS - transcriptome
Salt, heat, low nutrient, flooding
Microarray; NGS - transcriptome
Populus × canescens
NGS - transcriptome
Salt, heat, low nutrient, flooding
Festuca rubra ssp. litoralis
Enriched cDNA library
EST sequencing; enriched cDNA library
NGS - transcriptome
Because of their diverse life forms and life history strategies and in some cases their experimental tractability, halophytes have attracted more attention than the other groups at the molecular level. These include shrubs and forbs (such as Salicornia spp. (Table 1, Figure 1d), Chenopodium spp., Atriplex spp.), grasses (such as Festuca rubra (Table 1), Spartina spp., Aeluropus spp., and two adapted to saline sodic deserts, Leptochloa fusca and Leymus chinensis), trees (several mangroves, especially Avicennia and members of the Rhizophoraceae), and desert succulents (especially Mesembryanthemum crystallinum, Table 1, Figure 1c). Perhaps most importantly, from the standpoint of comparative genomics, the halophytes also include highly salt-tolerant close relatives of Arabidopsis thaliana.
Extremophiles are not simply outliers, plants with little to offer to the mainstream defined by poorly stress-adapted model plants. They occupy one end of a continuum of plant abilities to withstand stress. In all extreme environments, multiple stresses arise concurrently. For example, saline environments are often poor in essential nutrients (especially N and P), but replete to the point of toxicity in others (for example Mg, sulfate or micronutrients). They may experience seasonal swings between flooding and drought-related salt pans (for example, as shown in Figure 1b). Daily and seasonal temperature ranges may be very broad, or, increasingly over the past century, they may be natural or agricultural ecosystems degraded by overgrazing or inappropriate irrigation management. Understanding plants endemic to these environments provides us with the opportunity to understand the successful and unsuccessful adjustments that less tolerant plants make when faced with lesser stresses [1, 6].
Plant environmental responses are coordinated through crosstalk among multiple signaling and stress-response networks, and one of the major goals of modern plant biology is to understand these. For example, dehydration response elements, redox controls and the downstream processes they regulate are central to drought and cold responses . In addition, abscisic acid mediates a broad range of environmental responses . But networks are often, if not always, more complicated than can be revealed by analysis of genes 'known to be involved' in particular responses; using Gaussian graphical methods, for example, Ma et al.  visualized response networks to salt involved in signaling and adaptation - including a large number of unknown and uncharacterized genes. Clearly, 450 million years of land plant evolution has generated biological complexity that cannot be represented by the sequence of a single species, such as A. thaliana, or even a single representative of each major clade. By scrutinizing the few plant genomes that are available, however, the plant biology community is beginning to identify characters of developmental, physiological, and environmental integrative quality that can be deduced and refined into hypotheses for further scrutiny.
Next-generation sequencing (NGS) technologies (especially Roche 454 and Illumina-Solexa) brought with them the promise of high-quality, high-volume, low-cost genomes and transcriptomes. In fact, it is meeting this expectation. Using the resulting datasets, it is now possible to address the evolutionary mechanisms leading to adaptation to extreme environments. The recently sequenced genome of Thellungiellaparvula  exemplifies such efforts, providing resources for high-resolution genome-wide comparison with its non-extremophile relative, A. thaliana.
Here, we look at three notable evolutionary features reflected in the genomes that may contribute to adaptations to abiotic stress. These are gene duplication, lineage-specific, largely functionally uncharacterized genes, and epigenomic modifications effected by abiotic stress.
Genomic resources: the harvest of cheap deep sequencing
Clearly, the search for genetic mechanisms for environmental adaptation was never on hold pending the invention of NGS. Differences in individual genes unquestionably have a big role in adaptation to stress. In some cases, they have been inferred from the primary sequences of well-characterized genes, such as the 37-amino-acid stretch in L-myo-inositol-1-phosphate synthase, which distinguishes the salt-tolerant wild rice (Porteresia coarctata) from domesticated rice (Oryza sativa) , or the single-amino-acid variation in AtHKT1;1 (which encodes the high-affinity K+ transporter 1) that distinguishes coastal from inland clines of Arabidopsis . In other cases, they have been implicated by the constitutively higher expression - in the absence of stress - of genes that are induced by stress in Arabidopsis, as in the resurrection plant Craterostigma plantagineum , the salt-tolerant poplar Populus euphratica , or the Arabidopsis relatives T. parvula and Thellungiella salsuginea (formerly T. halophila) [15–17].
But genomes are far more than collections of protein coding sequences. To extend the search for 'genetic mechanisms' beyond this level of primary DNA or cDNA sequences, high-quality genomic resources are a paramount necessity. Especially critical are the genomes of closely related species, or even genotypes, that have adapted to different climates and habitats (that is, that have different lifestyles). Such genomes are beginning to appear, albeit few being proper extremophiles. The strawberry, apple, and peach genomes in the Rosaceae, for example, have begun to reveal how artificial selection for fruit quality has shaped these genomes . Differences reflecting natural selection should also be discernible, for a start, from resources such as those summarized in Table 1.
However, given the long history of Arabidopsis as a model system, the new genomes most immediately useful for comparative studies at this point are likely to be those closely related to it. One of these is the genome of Arabidopsis lyrata , a potential comparative model for drought tolerance , and T. parvula (Figure 1a,b) will be perhaps even more useful for elucidating a broad range of environmental adaptations . This species and the congeneric T. salsuginea are endemic to regions that experience temperature extremes, poor, degraded, and toxic soils, and especially very high salinities [6, 21]. The T. parvula genome is of particular interest because chromosomal assemblies that approach the coverage of A. thaliana are available. Moreover, because the Thellungiella species share many of the characteristics that led to the acceptance of Arabidopsis as a model (size, growth habit, seed amount, mutants, and transformation ability), they have been recognized as excellent candidates for comparative genomics studies [15, 22].
Data prospecting and data mining - finding the gems in the genome
Given the evolutionary continuum of genome-level adaptations to abiotic stress, the signatures of the critical adaptive mechanisms must be archived in the genomes of extremophiles. These are the gems in the genome; the challenge is to find and understand them. Comparisons of known genes and transfers between species - the mainstay approach before cheap deep sequencing - can now be supplemented with more extensive genome prospecting, and thereafter with large scale data mining. In this section, we consider three issues as they apply to the problem: what has been explored so far, what has been found, and what is needed to move forward.
First, comparing gene expression at the broad level reflected in Gene Ontology (GO) profiles, stress-tolerant and -sensitive species show different patterns . Salt-tolerant extremophiles, on the one hand, seem to have a bias towards ion transporters in the gene function GO category that is not found in glycophytic species such as Arabidopsis. This bias is evident, for example, both in T. parvula and T. salsuginea [23, 24] and in the unrelated salt marsh halophyte Limonium sinense . Arabidopsis, on the other hand, has invested in an arsenal of pathogen-responsive and developmentally related genes. It is reasonable to suppose - although future research could prove otherwise - that transporters would be critical to salt stress tolerance, and that developmental flexibility and pathogen protection would be important for a winter annual in a high resource environment.
Whole-transcriptome analyses of two mangrove species, Heritiera littoralis (Malvaceae; Figure 1d) and Rhizophora mangle (Rhizophoraceae; Figure 1e), showed a similar high representation of transport-related genes. Interestingly, despite these species having different life histories and physiological strategies in their adaptation to tropical intertidal habitats, their transcriptomes showed strikingly similar allocations in GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional categories, suggesting convergent evolution as 'mangroves' .
Going beyond transcriptomes, at the genome level, where are the gems, that is, what are targets currently considered most promising as being part of integrative mechanisms that lead to stress adaptation? At this point, there are few genomes complete enough to allow detailed comparisons, essentially only T. parvula and A. thaliana. In these two, although the gene spaces show extensive overall colinearity, there are also major translocations of gene-rich regions and extensive changes in intergenic sequences [10, 15]. Beyond this, there are three promising, potentially adaptive linkages to explore. These involve gene duplication, lineage-specific sequences, and epigenetic regulation. We look at these briefly below, with particular reference to their contributions as reflected in the newly released genome of T. parvula and the testable predictions that follow.
Stress adaptation by gene duplication
A striking feature of all plant genomes is gene enrichment due to duplication events. Suggested by Haldane in 1932  and later popularized by Ohno , gene duplication as an evolutionary mechanism that adds new biological function is a well-established idea. Both the duplication rate and the proportion of retained duplicates seem to be greater in plants than in the other domains of life . With respect to individual genes, the result is termed copy number variation (CNV). From resequencing the genomes of 80 individual Arabidopsis ecotypes, it seems that natural selection has led to CNVs covering 2.2 Mb of the reference genome . CNVs can also arise in a short time. For example, they appeared in Arabidopsis in several generations under the selection pressure of a continuous stress in the laboratory . These were distributed with a 42%:58% ratio between those initiated by transposable elements (TEs) and those involving tandem duplications.
Practically all angiosperms have polyploidy somewhere in their history, either current or long past. The initially increased gene dosage following duplication is often assumed to be beneficial for survival in new habitats, at least in the short term . But although there are certainly polyploid species known for their extreme adaptations to abiotic stresses, an equal fraction are adapted to less harsh conditions, and there are also diploid extremophiles (including Thellungiella spp.). Thus, there is little overall evidence that polyploidy itself is a major evolutionary driving force leading to extremophiles.
In most plants, including T. parvula, genomes enriched by polyploidy have subsequently experienced extensive gene losses . Their modern genomes reflect this. On the other hand, the copy numbers of other genes have increased as a result of segmental or tandem duplication events and duplication-translocation events. Individual copies of duplicated genes have, in many cases, also assumed new functionality resulting from mutation (neo-functionalization), or become specialized by acquisition of new promoters or regulatory elements (sub-functionalization). One such example is found in allopolyploid cotton (Gossypium hirsutum), in which reciprocal silencing of alcohol dehydrogenase homologs led to their expression in different tissues under distinct abiotic stresses .
An example of changes in transcript expression and neo-functionalization is provided by homologs encoding HKT1, a plasma membrane Na+/K+ transporter considered to be a genetic determinant of salt tolerance [12, 35]. HKT1 exists as tandem duplicated copies in both Thellungiella species [10, 17]. One copy encodes new protein functionality and also has an expression pattern different from that of the Arabidopsis counterpart . This copy, called TsHKT1;2 in T. salsuginea, is induced under salt stress and leads to continued uptake of potassium ions. By contrast, TsHKT1;1 in Thellungiella behaves like the single-copy AtHKT1; because this protein transports sodium ions under salt stress , it exacerbates stress unless its expression is downregulated .
In T. parvula and in A. thaliana, a major source of CNV has been tandem duplication . The extant populations of unique tandem duplicates reflect the fact that both copies originated since the species diverged about 11 million years ago  and that selective gene loss has occurred in each taxon in response to environmental selective pressures. Either through gene duplication or expression strength differences, a large number of other seemingly stress-relevant genes that have not been recognized in Arabidopsis show the hallmarks of CNV in Thellungiella, including a variety of ion transporters and membrane-located proton ATPases . Such a difference might be expected, as Thellungiella shares only 40% of salt-induced regulation of transcript expression with A. thaliana .
Tandem duplications seem to have a more important role in shaping genomes for stress adaptations than polyploidy, segmental transposition-duplications, or ectopic duplication and translocation ; recombination and tandem duplication events may both become accelerated by environmental challenges . As the result of unequal crossing-over during recombination, tandem duplications vary in their 'genetic neighborhoods', with copies receiving different regulatory motifs that can lead to drastic changes in expression . A comparative study on plant genomes ranging from Arabidopsis to Physcomitrella showed genes associated with defense, transport functions, or abiotic stress responses enriched in tandem duplicates, whereas duplicates due to other mechanisms included genes enriched in other intracellular regulatory roles .
Gene duplication may also result from single gene/segmental transposition-duplication or ectopic duplication/translocation  in such a way that any syntenic evidence for its ancestral origin is lost. Comparisons of T. parvula and A. thaliana genomes indicate multiple translocation-duplication events involving stress-related genes, exemplified by the duplications of orthologs of CBL10, encoding a calcium sensor , and AVP1, encoding a vacuolar proton transporter (Figure 2b) in T. parvula. The details of the relationship between this mechanism and stress-adaptive evolution deserve further exploration.
From these initial observations, there are a number of important questions for future studies. For example, how do duplications arise and become stabilized in targeted regions of the genome? Can stress increase the rate of their generation? How rapidly can new regulatory sequences evolve to become operational and do they evolve along with duplicated genes or independently? How rapidly can neofunctionalization occur and how is it balanced by gene loss? And how is tandem duplication called into play to adjust expression levels?
Stress adaptation through lineage-specific sequences
In any single genome, the suite of genes shaped by stress during adaptation should reflect, above all, the nature of the stresses. In turn, physiological and developmental changes will mirror genomic changes. Thus, both the suite of altered genes and their regulatory sequences can be expected to demonstrate lineage specificity.
Lineage-specific or taxonomically restricted genes (TRGs) are protein-coding genes that do not share sequence similarity outside the lineage. For that reason, they are also sometimes referred to as 'orphan genes' , or 'unknown'. Indeed, with each new EST collection or genome, the number of new unknowns (or 'unknown unknowns') proliferates. Regardless of the taxon, and in all the examples included in Table 1, 10 to 20% of the genes in eukaryote genomes or transcriptomes are TRGs . In the Brassicaceae, family-specific TRGs are enriched for genes responsive to abiotic stresses . It should be noted here that 'stress-responsive' or 'stress-related' are not labels indicating that the functions of the genes are then known. They simply mean that expression is induced by stress. In Arabidopsis, but not in T. parvula, the expansion is pronounced in pathogen-responsive genes; in T. parvula, but not in Arabidopsis, the expansion is pronounced in abiotic stress-related genes . Across the spectrum of plant stress tolerance, pools of rapidly evolving TRGs may function as a reservoir of adaptive potential to challenging environments.
In Arabidopsis, 3.4% of all genes share sequence similarity only within the Brassicaceae, and another 5% lack similarity with any sequences deposited in public databases . Because the Arabidopsis genome is the most fully annotated, it can be expected that the more evolutionarily distant from Arabidopsis a species is, the larger will be the number of TRGs, especially if the species is highly adapted to an environment in which Arabidopsis cannot survive. In the T. parvula genome, 11% of the annotated non-transposon putative protein-coding genes show no sequence similarity with A. thaliana genes. About two-thirds of those also lack similarity with any known plant sequence . In Lobularia maritima (sweet alyssum), a salt-tolerant coastal relative of Arabidopsis , 35% of the salt-induced transcriptome is 'unknown', as are half of the salt-stress-induced transcripts from a facultative halophyte, Festuca rubra ssp. litoralis  and nearly 55% of the contigs in two mangrove transcriptomes (R. mangle and H. littoralis) .
Regulatory elements in the untranslated regions and promoters also show lineage specificity. For example, a detailed comparison of the upstream regulatory region of SOS1, a gene critical for salt tolerance in both Arabidopsis and Thellungiella , showed conserved repeat sequences and secondary structures in Thellungiella spp. and other halophytes that are absent in Arabidopsis. These differences in regions that are not transcribed are correlated with differences in expression observed for SOS1 in Thellungiella [15, 16].
TEs seem to have a key role in generating TRGs , because novel chimeric genes originate when active retrotransposons recruit new exons from flanking sequences . About 10% of the Arabidopsis TRGs showed degenerate sequence conservation with transposable elements, a proportion double that among non-TRGs . In the T. parvula genome, TRGs are enriched in pericentromeric TE-rich regions, suggesting roles of transposons in their evolution .
Without sequence similarities on which to base annotation, 'orphan genes' usually lack assignable functions [10, 26]. Clearly, this is a major obstacle to elucidating the genetic basis for any characteristic, not just for understanding stress tolerance, and overcoming this is an important target. Again, there are associated questions to be addressed. For example, why do duplications, especially those associated with TEs, seem to be clustered in centromeric regions? And how do lineage-specific, taxonomically restricted, or 'orphan' genes fit in the overall picture of functioning organisms? With regard to this last question, network analysis has already proved to be a good starting place. As has already been demonstrated in Arabidopsis transcriptional network models, the correlated expression of TRGs and genes with assigned functions in response to stresses provides, even without definitive annotations, useful linkages for visualizing co-expression patterns and identifying 'hub' genes that have core roles in regulating pathways [53, 54]. Although still limited for extremophiles, RNA-sequencing experiments performed under both transient and chronic stress conditions should, before long, contribute the expression data needed for extending similar networks to non-model - or new model - species.
Epigenetic modifications and non-coding RNAs
Beyond adaptations embedded in the basic nucleotide sequence of a genome, epigenetic controls have key roles in ensuring plant survival and reproduction under suboptimal growth conditions [55, 56]. Selective hypermethylation on salt stress adaptation in the extremophile Crassulacean acid metabolism (CAM) plant Mesembryanthemum crystallinum, for example, indicates both specific and global epigenetic restructuring in plant abiotic stress response regulation .
Methylation, alone or in combination with small interfering RNA degradation pathways, can also regulate transposon activity . Although most TEs are inactive at any time, the proportion that is active is highly dynamic and stress responsive [59, 60]. TE copies can vary significantly within single species (for example, maize haplotypes ), or between closely related species; in T. parvula and T. salsuginea, TEs make up about 7.4%  and up to 50% (Q Xie, personal communication) of the genome, respectively.
The potential influence of retrotransposon-rich gene neighborhoods undoubtedly varies in ways yet to be fully appreciated. It may, for example, be represented in the HKT1 locus in T. parvula , as it is for ArabidopsisTIP1;2, the aquaporin whose high basal expression has been caused by TEs in the promoter region .
Plant microRNAs (miRNAs) also act epigenetically, through target mRNA cleavage or translational inhibition, and their effects are further compounded by feedback regulation. The majority are lineage specific or species specific. Even conserved miRNAs, however, have species-specific functions, as demonstrated by comparisons of Arabidopsis and poplar . Only 80% of known miRNAs identified in the T. parvula genome share sequence similarity with A. thaliana miRNAs. Another 10% are found in Brassicaceae species, but not in A. thaliana .
An in silico comparison of the target sequences of miRNAs in the mRNAs of mangroves and Arabidopsis showed that both the conservation of miRNA targets in stress-responsive genes and their placements within those genes are lineage specific. They may also be similarly represented in unrelated species showing similar ecological affinities .
Both methylation and miRNA-based epigenetic regulation are fields of intense activity at present and, from the standpoint of stress adaptation, how miRNA targeting comes about and varies between species is an important question. Another is how the functions of miRNAs and protein-coding genes are regulated and coordinated. Can epigenetic signatures due to stress adaptation be trans-generational, and if so, for how many generations? The concept of trans-generational epigenetic stress signatures has support from some studies. For example, when Arabidopsis parent populations were exposed to abiotic stresses that increased global methylation, their progeny were more stress tolerant . Similarly, in rice, parents with hypermethylation of particular loci in response to low-nutrient stress produced progeny with increased tolerance . In dandelion (Taraxacum officinale), exposure to stress resulted in heritable markers, again implying epigenetic heritability for stress adaptation . In Arabidopsis mutants impaired for small interfering RNA biogenesis, increased copy numbers of the ONSEN retrotransposon element were induced by heat stress. ONSEN insertion, in turn, rendered adjacent genes heat inducible. Unlike in wild-type plants, these numbers failed to decay over a period of 20 to 30 days. Because transposition was particularly active during flower development and before gametogenesis, the effect was trans-generational .
To know that the phenomena we have presented here operate is not sufficient. By themselves, sequences provide only the raw materials for addressing more important questions. On the one hand, they set the stage for exploring how genomes have evolved in plants with different adaptations to environmental conditions. On the other, and more fundamentally, expanding genomic resources bring the opportunity to explore mechanisms of genome evolution themselves.
The recently completed genome sequences of T. parvula  and the soon to be available genome of T. salsuginea  are critical resources, enabling high-resolution genome-wide comparisons between extremophiles and their non-extremophile crucifer relatives. Along with a dozen other transcriptomes of extremophile plants and numerous genomes from non-extremophiles, they have supported the ideas, first, that there is a basal set of genes shared between all plants, and second, that a subset of these has experienced selective modification and amplification of a sort required for adaptation to and success in changing or stressful environments. With sequencing technologies evolving rapidly, a 'third generation' of instruments will undoubtedly have an even greater transforming effect.
As output increases in amount and quality and cost comes down, it seems clear that the genome sequence of any plant species deemed important, and eventually multiple ecotypes of each, can, as needed, become available. The value and importance of this cannot be overstated in a world where the population is rising much faster than total agricultural production and land degradation is rapidly reducing the area useable for crops. Extremophiles provide not only a model for what is possible, but for the traits that may be necessary for crops in the future.
D-HO and HJB are supported by World Class University Program (R32-10148) at Gyeongsang National University, Republic of Korea and the Next-generation BioGreen21 Program (SSAC, PJ008025), Rural Development Administration, Republic of Korea. We thank Mike Barker (University of Arizona) for his insights and discussions concerning polyploidy and stress adaptation. Sunhee Jeon and Hyewon Hong are gratefully acknowledged for permission to use the photos in Figures 1a,b.
- Amtmann A, Bohnert HJ, Bressan RA: Abiotic stress and plant genome evolution. Search for new models.Plant Physiol 2005, 138:127–130.PubMedPubMed CentralView ArticleGoogle Scholar
- Komarkova V, Poncet S, Poncet J: Two native antarctic vascular plants,Deschampsia antarcticaandColobanthus qulitensis: a new southernmost locality in the Antarctic peninsula area.Arctic Alpine Res 1985, 17:401–416.View ArticleGoogle Scholar
- Willert DJ, Eller BM, Werger MJA, Brinckmann E: Desert succulents and their life strategies.Vegetatio 1990, 90:133–143.View ArticleGoogle Scholar
- Flowers TJ, Troke PF, Yeo a R: The mechanism of salt tolerance in halophytes.Annu Rev Plant Physiol 1977, 28:89–121.View ArticleGoogle Scholar
- Royal Botanic Gardens, Kew: Salt Tolerance (eHALOPH). [http://data.kew.org/sid/halophyte.html]
- Amtmann A: Learning from evolution:Thellungiellagenerates new knowledge on essential and critical components of abiotic stress tolerance in plants.Mol Plant 2009, 2:3–12.PubMedPubMed CentralView ArticleGoogle Scholar
- Pastori GM, Foyer CH: Update on stress tolerance common components, networks, and pathways of cross- tolerance to stress. The central role of "redox " and abscisic acid-mediated controls.Plant Physiol 2002, 129:460–468.PubMedPubMed CentralView ArticleGoogle Scholar
- Umezawa T, Nakashima K, Miyakawa T, Kuromori T, Tanokura M, Shinozaki K, Yamaguchi-Shinozaki K: Molecular basis of the core regulatory network in ABA responses: sensing, signaling and transport.Plant Cell Physiol 2010, 51:1821–1839.PubMedPubMed CentralView ArticleGoogle Scholar
- Ma S, Gong Q, Bohnert HJ: Dissecting salt stress pathways.J Exp Bot 2006, 57:1097–1107.PubMedView ArticleGoogle Scholar
- Dassanayake M, Oh DH, Haas JS, Hernandez A, Hong H, Ali S, Yun DJ, Bressan RA, Zhu JK, Bohnert HJ, Cheeseman JM: The genome of the extremophile cruciferThellungiella parvula.Nat Genet 2011, 43:913–918.PubMedPubMed CentralView ArticleGoogle Scholar
- Majee M, Maitra S, Dastidar KG, Pattnaik S, Chatterjee A, Hait NC, Das KP, Majumder AL: A novel salt-tolerant L-myo-inositol-1-phosphate synthase fromPorteresia coarctata(Roxb.) Tateoka, a halophytic wild rice.J Biol Chem 2004, 279:28539–28552.PubMedView ArticleGoogle Scholar
- Baxter I, Brazelton JN, Yu D, Huang YS, Lahner B, Yakubova E, Li Y, Bergelson J, Borevitz JO, Nordborg M, Vitek O, Salt DE: A coastal cline in sodium accumulation inArabidopsis thalianais driven by natural variation of the sodium transporter AtHKT1;1.PLoS Genet 2010, 6:e1001193.PubMedPubMed CentralView ArticleGoogle Scholar
- Rodriguez MCS, Edsgärd D, Hussain SS, Alquezar D, Rasmussen M, Gilbert T, Nielsen BH, Bartels D, Mundy J: Transcriptomes of the desiccation-tolerant resurrection plantCraterostigma plantagineum.Plant J 2010, 63:212–228.PubMedView ArticleGoogle Scholar
- Dennis J, Katja B, Basem K: Pathway analysis of the transcriptome and metabolome of salt sensitive and tolerant poplar species reveals evolutionary adaption of stress tolerance mechanisms.BMC Plant Biol 2010, 10:150.View ArticleGoogle Scholar
- Oh D-H, Dassanayake M, Haas JS, Kropornika A, Wright C, D'Urzo MP, Hong H, Ali S, Hernandez A, Lambert GM, Inan G, Galbraith DW, Bressan RA, Yun D-J, Zhu J-K, Cheeseman JM, Bohnert HJ: Genome structures and halophyte-specific gene expression of the extremophileThellungiella parvulain comparison withThellungiella salsuginea(Thellungiella halophila) andArabidopsis.Plant Physiol 2010, 154:1040–1052.PubMedPubMed CentralView ArticleGoogle Scholar
- Dassanayake M, Oh D-H, Hong H, Bohnert HJ, Cheeseman JM: Transcription strength and halophytic lifestyle.Trends Plant Sci 2011, 16:1–3.PubMedView ArticleGoogle Scholar
- Ali Z, Ali A, Park HC, Aman R, Kropornika A, Bressan RA, Bohnert HJ, Kim W-Y, Lee SY, Oh D-H, Yun D-J: TsHKT1;2, a HKT1 homolog from the extremophileArabidopsis-relativeThellungiella salsuginea, shows K + -specificity in the presence of NaCl.Plant Physiol 2012. doi:10.1104/pp.111.193110Google Scholar
- Genome Database for Rosaceae. [http://www.rosaceae.org]
- Hu TT, Pattyn P, Bakker EG, Cao J, Cheng JF, Clark RM, Fahlgren N, Fawcett JA, Grimwood J, Gundlach H, Haberer G, Hollister JD, Ossowski S, Ottilar RP, Salamov AA, Schneeberger K, Spannagl M, Wang X, Yang L, Nasrallah ME, Bergelson J, Carrington JC, Gaut BS, Schmutz J, Mayer KF, Van de Peer Y, Grigoriev IV, Nordborg M, Weigel D, Guo YL: TheArabidopsis lyratagenome sequence and the basis of rapid genome size change.Nat Genet 2011, 43:476–481.PubMedPubMed CentralView ArticleGoogle Scholar
- Sletvold N: Variation in tolerance to drought among Scandinavian populations ofArabidopsis lyrata.Evol Ecol 2011. doi:10.1007/s10682–011–9502-xGoogle Scholar
- Bressan RA, Zhang C, Zhang H, Hasegawa PM, Bohnert HJ, Zhu JK: Learning from theArabidopsisexperience. The next gene search paradigm.Plant Physiol 2001, 127:1354–1360.PubMedPubMed CentralView ArticleGoogle Scholar
- Inan G, Zhang Q, Li P, Wang Z, Cao Z, Zhang H, Zhang C, Quist TM, Goodwin SM, Zhu J, Shi H, Damsz B, Charbaji T, Gong Q, Ma S, Fredricksen M, Galbraith DW, Jenks MA, Rhodes D, Hasegawa PM, Bohnert HJ, Joly RJ, Bressan RA, Zhu J-K: Salt cress. A halophyte and cryophyteArabidopsisrelative model system and its applicability to molecular genetic analyses of growth and development of extremophiles.Plant Physiol 2004, 135:1718–1737.PubMedPubMed CentralView ArticleGoogle Scholar
- Wong CE, Li Y, Whitty BR, Díaz-Camino C, Akhter SR, Brandle JE, Golding GB, Weretilnyk EA, Moffatt BA, Griffith M: Expressed sequence tags from the Yukon ecotype ofThellungiellareveal that gene expression in response to cold, drought and salinity shows little overlap.Plant Mol Biol 2005, 58:561–574.PubMedView ArticleGoogle Scholar
- Taji T, Sakurai T, Mochida K, Ishiwata A, Kurotani A, Totoki Y, Toyoda A, Sakaki Y, Seki M, Ono H, Sakata Y, Tanaka S, Shinozaki K: Large-scale collection and annotation of full-length enriched cDNAs from a model halophyte,Thellungiella halophila.BMC Plant Biol 2008, 8:115.PubMedPubMed CentralView ArticleGoogle Scholar
- Chen S-H, Guo SL, Wang ZL, Zhao JQ, Zhao YX, Zhang H: Expressed sequence tags from the halophyteLimonium sinense.DNA Sequence 2007, 18:61–67.PubMedView ArticleGoogle Scholar
- Dassanayake M, Haas JS, Bohnert HJ, Cheeseman JM: Shedding light on an extremophile lifestyle through transcriptomics.New Phytol 2009, 183:764–775.PubMedView ArticleGoogle Scholar
- Haldane JBS: The Causes of Evolution. Ithaca, NY: Cornell University Press; 1932.Google Scholar
- Ohno S: Evolution by Gene Duplication. London: Springer Verlag, New York-Heidelberg-Berlin; 1970.View ArticleGoogle Scholar
- Zhang J: Evolution by gene duplication: an update.Trends Ecol Evol 2003, 18:292–298.View ArticleGoogle Scholar
- Cao J, Schneeberger K, Ossowski S, Günther T, Bender S, Fitz J, Koenig D, Lanz C, Stegle O, Lippert C, Wang X, Ott F, Müller J, Alonso-Blanco C, Borgwardt K, Schmid KJ, Weigel D: Whole-genome sequencing of multipleArabidopsis thalianapopulations.Nat Genet 2011, 43:956–963.PubMedView ArticleGoogle Scholar
- DeBolt S: Copy number variation shapes genome diversity inArabidopsisover immediate family generational scales.Genome Biol Evol 2010, 2:441–453.PubMedPubMed CentralView ArticleGoogle Scholar
- Soltis DE, Buggs RJA, Doyle JJ, Soltis PS: What we still don't know about polyploidy.Taxon 2010, 59:1387–1403.Google Scholar
- Jiao Y, Wickett NJ, Ayyampalayam S, Chanderbali AS, Landherr L, Ralph PE, Tomsho LP, Hu Y, Liang H, Soltis PS, Soltis DE, Clifton SW, Schlarbaum SE, Schuster SC, Ma H, Leebens-Mack J, DePamphilis CW: Ancestral polyploidy in seed plants and angiosperms.Nature 2011, 473:97–100.PubMedView ArticleGoogle Scholar
- Adams KL: Insights into the evolution of duplicate gene expression in polyploids fromGossypium.Botany 2008, 86:827–834.View ArticleGoogle Scholar
- Kronzucker HJ, Britto DT: Sodium transport in plants: a critical review.New Phytol 2011, 189:54–81.PubMedView ArticleGoogle Scholar
- Rus A, Lee B-ha, Muñoz-Mayor A, Sharkhuu A, Miura K, Zhu JK, Bressan RA, Hasegawa PM: AtHKT1 facilitates Na + homeostasis and K + nutrition.Plant Physiol 2004, 136:2500–2511.PubMedPubMed CentralView ArticleGoogle Scholar
- Oh D-H, Lee SY, Bressan RA, Yun D-J, Bohnert HJ: Intracellular consequences of SOS1 deficiency during salt stress.J Exp Bot 2010, 61:1205–1213.PubMedPubMed CentralView ArticleGoogle Scholar
- Franzke A, German D, Al-Shehbaz IA, Mummenhoff K: Arabidopsisfamily ties: molecular phylogeny and age estimates in Brassicaceae.Taxon 2009, 58:425–437.Google Scholar
- Gong Q, Li P, Ma S, Indu Rupassara S, Bohnert HJ: Salinity stress adaptation competence in the extremophileThellungiella halophilain comparison with its relativeArabidopsis thaliana.Plant J 2005, 44:826–839.PubMedView ArticleGoogle Scholar
- Zou C, Lehti-Shiu MD, Thomashow M, Shiu S-H: Evolution of stress-regulated gene expression in duplicate genes ofArabidopsis thaliana.PLoS Genet 2009, 5:e1000581.PubMedPubMed CentralView ArticleGoogle Scholar
- Hanada K, Zou C, Lehti-Shiu MD, Shinozaki K, Shiu S-H: Importance of lineage-specific expansion of plant tandem duplicates in the adaptive response to environmental stimuli.Plant Physiol 2008, 148:993–1003.PubMedPubMed CentralView ArticleGoogle Scholar
- An R, Chen Q-J, Chai M-F, Lu P-L, Su Z, Qin Z-X, Chen J, Wang X-C: AtNHX8, a member of the monovalent cation: proton antiporter-1 family inArabidopsis thaliana, encodes a putative Li + /H + antiporter.Plant J 2007, 49:718–728.PubMedView ArticleGoogle Scholar
- Hamzao E, Aksoy A: Phytosociological studies on the halophytic communities of central Anatolia.Ekoloji 2009, 14:1–14.View ArticleGoogle Scholar
- Freeling M: Bias in plant gene content following different sorts of duplication: tandem, whole-genome, segmental, or by transposition.Annu Rev Plant Biol 2009, 60:433–453.PubMedView ArticleGoogle Scholar
- Tautz D, Domazet-Lošo T: The evolutionary origin of orphan genes.Nat Rev Genet 2011, 12:692–702.PubMedView ArticleGoogle Scholar
- Khalturin K, Hemmrich G, Fraune S, Augustin R, Bosch TCG: More than just orphans: are taxonomically-restricted genes important in evolution?Trends Genet 2009, 25:404–413.PubMedView ArticleGoogle Scholar
- Donoghue MT, Keshavaiah C, Swamidatta SH, Spillane C: Evolutionary origins of Brassicaceae specific genes inArabidopsis thaliana.BMC Evol Biol 2011, 11:47.PubMedPubMed CentralView ArticleGoogle Scholar
- Haining L, Gaurav M, Shu O, Amy I, Shin-Han S, Xun G, Robin BC: Comparative analyses reveal distinct sets of lineage-specific genes withinArabidopsis thaliana.BMC Evol Biol 2010, 10:41.View ArticleGoogle Scholar
- Popova OV, Yang O, Dietz K-J, Golldack D: Differential transcript regulation inArabidopsis thalianaand the halotolerantLobularia maritimaindicates genes with potential function in plant salt adaptation.Gene 2008, 423:142–148.PubMedView ArticleGoogle Scholar
- Diédhiou CJ, Popova OV, Golldack D: Transcript profiling of the salt-tolerantFestuca rubrassp.litoralisreveals a regulatory network controlling salt acclimatization.J Plant Physiol 2009, 166:697–711.PubMedView ArticleGoogle Scholar
- Oh D-H, Leidi E, Zhang Q, Hwang S-M, Li Y, Quintero FJ, Jiang X, D'Urzo MP, Lee SY, Zhao Y, Bahk JD, Bressan RA, Yun D-J, Pardo JM, Bohnert HJ: Loss of halophytism by interference withSOS1expression.Plant Physiol 2009, 151:210–222.PubMedPubMed CentralView ArticleGoogle Scholar
- Wang W, Zheng H, Fan C, Li J, Shi J, Cai Z, Zhang G, Liu D, Zhang J, Vang S, Lu Z, Wong GK, Long M, Wang J: High rate of chimeric gene origination by retroposition in plant genomes.Plant Cell 2006, 18:1791–1802.PubMedPubMed CentralView ArticleGoogle Scholar
- Ma S, Gong Q, Bohnert HJ: AnArabidopsisgene network based on the graphical Gaussian model.Genome Res 2007, 17:1614–1625.PubMedPubMed CentralView ArticleGoogle Scholar
- Lee I, Ambaru B, Thakkar P, Marcotte EM, Rhee SY: Rational association of genes with traits using a genome-scale gene network forArabidopsis thaliana.Nat Biotechnol 2010, 28:149–156.PubMedPubMed CentralView ArticleGoogle Scholar
- Boyko A, Kovalchuk I: Genome instability and epigenetic modification-heritable responses to environmental stress?Curr Opi Plant Biol 2011, 14:260–266.View ArticleGoogle Scholar
- Mirouze M, Paszkowski J: Epigenetic contribution to stress adaptation in plants.Curr Opi Plant Biol 2011, 14:267–274.View ArticleGoogle Scholar
- Dyachenko OV, Zakharchenko NS, Shevchuk TV, Bohnert HJ, Cushman JC, Buryanov YI: Effect of hypermethylation of CCWGG sequences in DNA ofMesembryanthemum crystallinumplants on their adaptation to salt stress.Biochemistry (Moscow) 2006, 71:461–465.View ArticleGoogle Scholar
- Wang Q, Dooner HK: Remarkable variation in maize genome structure inferred from haplotype diversity at thebzlocus.Proc Natl Acad Sci USA 2006, 103:17644–17649.PubMedPubMed CentralView ArticleGoogle Scholar
- Grandbastien MA, Audeon C, Bonnivard E, Casacuberta JM, Chalhoub B, Costa APP, Le QH, Melayah D, Petit M, Poncet C, Tam SM, Van Sluys MA, Mhiri C: Stress activation and genomic impact of Tnt1 retrotransposons in Solanaceae.Cytogenet Genome Res 2005, 110:229–241.PubMedView ArticleGoogle Scholar
- Ito H, Gaubert H, Bucher E, Mirouze M, Vaillant I, Paszkowski J: An siRNA pathway prevents transgenerational retrotransposition in plants subjected to stress.Nature 2011, 472:115–119.PubMedView ArticleGoogle Scholar
- Quigley F, Rosenberg JM, Shachar-Hill Y, Bohnert HJ: From genome to function: theArabidopsisaquaporins.Genome Biol 2002, 3:RESEARCH0001.PubMedPubMed CentralGoogle Scholar
- Cuperus JT, Fahlgren N, Carrington JC: Evolution and functional diversification ofMIRNAgenes.Plant Cell 2011, 23:431–442.PubMedPubMed CentralView ArticleGoogle Scholar
- Boyko A, Blevins T, Yao Y, Golubov A, Bilichak A, Ilnytskyy Y, Hollander J, Meins F Jr, Kovalchuk I: Transgenerational adaptation ofArabidopsisto stress requires DNA methylation and the function of Dicer-like proteins.PLoS One 2010, 5:e9514.PubMedPubMed CentralView ArticleGoogle Scholar
- Kou HP, Li Y, Song XX, Ou XF, Xing SC, Ma J, Von Wettstein D, Liu B: Heritable alteration in DNA methylation induced by nitrogen-deficiency stress accompanies enhanced tolerance by progenies to the stress in rice (Oryza sativaL.).J Plant Physiol 2011, 168:1685–1693.PubMedView ArticleGoogle Scholar
- Verhoeven KJF, Jansen JJ, van Dijk PJ, Biere A: Stress-induced DNA methylation changes and their heritability in asexual dandelions.New Phytol 2010, 185:1108–1118.PubMedView ArticleGoogle Scholar
- Phytozome:Thellungiella halophila(Salt cress) [http://www.phytozome.net/thellungiella.php]
- Taji T, Komatsu K, Katori T, Kawasaki Y, Sakata Y, Tanaka S, Kobayashi M, Toyoda A, Seki M, Shinozaki K: Comparative genomic analysis of 1047 completely sequenced cDNAs from anArabidopsis-related model halophyte,Thellungiella halophila.BMC Plant Biol 2010, 10:261.PubMedPubMed CentralView ArticleGoogle Scholar
- Delano-Frier JP, Aviles-Arnaut H, Casarrubias-Castillo K, Casique-Arroyo G, Castrillon-Arbelaez PA, Herrera-Estrella L, Massange-Sanchez J, Martinez-Gallardo NA, Parra-Cota FI, Vargas-Ortiz E, Estrada-Hernandez MG: Transcriptomic analysis of grain amaranth (Amaranthus hypochondriacus) using 454 pyrosequencing: comparison withA. tuberculatus, expression profiling in stems and in response to biotic and abiotic stress.BMC Genomics 2011, 12:363.PubMedPubMed CentralView ArticleGoogle Scholar
- Kore-eda S, Cushman MA, Akselrod I, Bufford D, Fredrickson M, Clark E, Cushman JC: Transcript profiling of salinity stress responses by large-scale expressed sequence tag analysis inMesembryanthemum crystallinum.Gene 2004, 341:83–92.PubMedView ArticleGoogle Scholar
- Cushman JC, Tillett RL, Wood JA, Branco JM, Schlauch KA: Large-scale mRNA expression profiling in the common ice plant,Mesembryanthemum crystallinum, performing C3 photosynthesis and Crassulacean acid metabolism (CAM).J Exp Bot 2008, 59:1875–1894.PubMedView ArticleGoogle Scholar
- Jha B, Agarwal PK, Reddy PS, Lal S, Sopory SK, Reddy MK: Identification of salt-induced genes fromSalicornia brachiata, an extreme halophyte through expressed sequence tags analysis.Genes Genet Syst 2009, 84:111–20.PubMedView ArticleGoogle Scholar
- Mehta PA, Sivaprakash K, Parani M, Venkataraman G, Parida AK: Generation and analysis of expressed sequence tags from the salt-tolerant mangrove species Avicennia marina (Forsk) Vierh.Theor Appl Genet 2005, 110:416–424.PubMedView ArticleGoogle Scholar
- Dassanayake M, Haas JS, Bohnert HJ, Cheeseman JM: Comparative transcriptomics for mangrove species: an expanding resource.Funct Integr Genomics 2010, 10:523–532.PubMedView ArticleGoogle Scholar
- Brinker M, Brosché M, Vinocur B, Abo-Ogiala A, Fayyaz P, Janz D, Ottow EA, Cullmann AD, Saborowski J, Kangasjärvi J, Altman A, Polle A: Linking the salt transcriptome with physiological responses of a salt-resistant Populus species as a strategy to identify genes important for stress acclimation.Plant Physiol 2010, 154:1697–1709.PubMedPubMed CentralView ArticleGoogle Scholar
- Qiu Q, Ma T, Hu Q, Liu B, Wu Y, Zhou H, Wang Q, Wang J, Liu J: Genome-scale transcriptome analysis of the desert poplar,Populus euphratica.Tree Physiol 2011, 31:452–461.PubMedView ArticleGoogle Scholar
- Kreuzwieser J, Hauberg J, Howell KA, Carroll A, Rennenberg H, Millar AH, Whelan J: Differential response of gray poplar leaves and roots underpins stress adaptation during hypoxia.Plant Physiol 2009, 149:461–473.PubMedPubMed CentralView ArticleGoogle Scholar
- Baisakh N, Subudhi PK, Varadwaj P: Primary responses to salt stress in a halophyte, smooth cordgrass (Spartina alternifloraLoisel.).Funct Integr Genomic 2008, 8:287–300.View ArticleGoogle Scholar
- Carvallo MA, Pino M-T, Jeknic Z, Zou C, Doherty CJ, Shiu S-H, Chen THH, Thomashow MF: A comparison of the low temperature transcriptomes and CBF regulons of three plant species that differ in freezing tolerance: Solanum commersonii, Solanum tuberosum, andArabidopsis thaliana.J Exp Bot 2011, 62:3807–3819.PubMedPubMed CentralView ArticleGoogle Scholar
- Gao F, Gao Q, Duan X, Yue G, Yang A, Zhang J: Cloning of an H + -PPase gene fromThellungiella halophilaand its heterologous expression to improve tobacco salt tolerance.J Exp Bot 2006, 57:3259–3270.PubMedView ArticleGoogle Scholar
- Thellungiella- anArabidopsis-like extremophile [http://thellungiella.org/]