Landscape and evolution of tissue-specific alternative polyadenylation across Drosophila species
© The Author(s). 2017
Received: 2 June 2017
Accepted: 8 November 2017
Published: 30 November 2017
Drosophila melanogaster has one of best-described transcriptomes of any multicellular organism. Nevertheless, the paucity of 3′-sequencing data in this species precludes comprehensive assessment of alternative polyadenylation (APA), which is subject to broad tissue-specific control.
Here, we generate deep 3′-sequencing data from 23 developmental stages, tissues, and cell lines of D. melanogaster, yielding a comprehensive atlas of ~ 62,000 polyadenylated ends. These data broadly extend the annotated transcriptome, identify ~ 40,000 novel 3′ termini, and reveal that two-thirds of Drosophila genes are subject to APA. Furthermore, we dramatically expand the numbers of genes known to be subject to tissue-specific APA, such as 3′ untranslated region (UTR) lengthening in head and 3′ UTR shortening in testis, and characterize new tissue and developmental 3′ UTR patterns. Our thorough 3′ UTR annotations permit reassessment of post-transcriptional regulatory networks, via conserved miRNA and RNA binding protein sites. To evaluate the evolutionary conservation and divergence of APA patterns, we generate developmental and tissue-specific 3′-seq libraries from Drosophila yakuba and Drosophila virilis. We document broadly analogous tissue-specific APA trends in these species, but also observe significant alterations in 3′ end usage across orthologs. We exploit the population of functionally evolving poly(A) sites to gain clear evidence that evolutionary divergence in core polyadenylation signal (PAS) and downstream sequence element (DSE) motifs drive broad alterations in 3′ UTR isoform expression across the Drosophila phylogeny.
These data provide a critical resource for the Drosophila community and offer many insights into the complex control of alternative tissue-specific 3′ UTR formation and its consequences for post-transcriptional regulatory networks.
For the past century, Drosophila melanogaster has served as one of the premier metazoan model organism systems, and its practitioners have been at the forefront for advancing genetic tools and genomic knowledge. Accordingly, this species has one of the best-understood transcriptomes of any animal species. During the course of large-scale studies such as the Berkeley Drosophila Genome Project, the modENCODE project, and allied community efforts, various technologies were employed to catalog Drosophila gene expression with progressively deeper profiling and more exacting and precise resolution. These include cDNA sequencing , gene and whole genome microarrays [2, 3], mRNA-sequencing [4–6], total RNA-sequencing [7, 8], and small RNA sequencing [9, 10], which have now been applied to hundreds of tissue and cell samples, mutant conditions, and/or environmental perturbations. The numbers of non-coding transcripts, especially of small regulatory RNAs and testis lncRNAs, have changed dramatically over the years. The numbers of protein-coding gene loci have also increased to some extent, but the diversity in the conventional transcriptome has mostly come from the appreciation of isoform diversity. This can come from processes such as differential promoter usage [11–13], alternative forward splicing [4, 14], back splicing , and alternative polyadenylation (APA) . Moreover, these processes can act combinatorially to diversify transcript output from a given locus.
While RNA-sequencing (RNA-seq) provides tremendous depth and insight into the transcriptome, due to the nature of underlying strategies for library preparation, general RNA-seq methods are deficient in resolving transcript termini . To some extent, this can be remedied by custom algorithms for interpreting RNA-seq data , but specialized methods for sequencing 5′ and 3′ transcript termini are ultimately needed to gain requisite information. In Drosophila, a substantial amount of CAGE-sequencing across developmental and tissue samples has been performed to annotate transcription start sites [11–13]. On the other hand, despite the appreciation of pervasive alternative 3′ end usage in Drosophila, including broad patterns of tissue-specific APA [6, 17], a broad compendium of deep 3′-sequencing (3′-seq) data across tissues is still lacking in this species. The application of 3′-seq approaches in diverse other organisms has been invaluable not only for defining transcript termini precisely, but for revealing unexpected APA trends . However, available 3′-seq data for Drosophila have only begun to emerge recently, and these sample limited tissue settings [19, 20].
3′ Untranslated regions (3′ UTRs) are predominant mediators of post-transcriptional regulation, and the phenomenon of APA can render such regulation conditional upon developmental stage, tissue type, physiological status, environmental state, and so forth [18, 21]. For example, there are several locations of broad, tissue-specific deployment of tandem polyadenylation sites within 3′ UTRs. These include the usage of many distal sites in the nervous system of invertebrates and vertebrates, and the usage of many proximal sites in gonads, including in Drosophila and mammalian testis, and in zebrafish ovary [6, 17, 22, 23]. Given that 3′ UTRs are the main hub for post-transcriptional regulation, APA has a broad impact on the regulation and function of the affected transcripts . Since the expression of different 3′ UTR isoforms is influenced by cellular , tissue , and developmental state  and dysregulated in disease , APA collectively has broad consequences on gene regulation and biology.
In this study, we complete a missing aspect of the D. melanogaster transcriptome resource with a deep and broad compendium of 3′-seq data across a timecourse of embryogenesis, multiple adult tissues, and a panel of cell lines, yielding a catalog of ~ 62,000 confident termini of polyadenylated transcripts. Analysis of these tissues covers the majority of described APA diversity and permits discovery of a wealth of novel transcript isoforms, despite recent intense profiling of the Drosophila transcriptome . We find evidence of APA for two-thirds of all genes and report novel tissue-specific expression of 3′ UTR isoforms for thousands of genes. We broadly extend the finding that head and testis exhibit characteristic APA patterns, and identify the ovary as a new setting for 3′ UTR shortening in Drosophila. Our 3′ UTR revisions serve as the basis of revising the catalogs of conserved miRNA and RNA binding protein sites, which can be subject to alternative regulation. As it is unknown to what extent Drosophilid patterns of tissue-specific APA are under constraint, we generated extensive developmental and tissue-specific 3′-seq datasets from close (Drosophila yakuba) and distant (Drosophila virilis) fruit fly relatives. Comparison of tissue-specific patterns of 3′ UTR expression between species shows conservation of expression of long 3′ UTR isoforms in head and suggests a faster rate of evolution for testis-specific events. Finally, we present a deep analysis of pA site conservation between species and provide broad empirical evidence that cis-element changes play determinant roles in the evolution of patterns of pA site usage and 3′ UTR isoform expression.
Overall, these comprehensive, multi-species 3′ UTR and regulatory site annotations provide an invaluable resource for the Drosophila community and yield diverse insights into the breadth and evolution of post-transcriptional regulatory networks across this key model organism clade.
Atlas of polyadenylated termini across D. melanogaster development, tissues, and cell lines
To assess the landscape of 3′ UTR isoforms in D. melanogaster, we initially generated parallel total RNA sequencing (RNA-seq) and 3′-sequencing (3′-seq) data from dissected female heads, ovaries, and testes, a compact set of tissues that efficiently samples both transcript  and 3′ UTR diversity . 3′-Seq data identify sites of cleavage and polyadenylation (CPA) at nucleotide resolution via reads that exhibit untemplated stretches of adenosines (As) at their 3′ termini, thereby indicating polyadenylation at the cleavage site.
Collectively, these 3′-seq libraries comprise ~ 200 million mapped reads from which we could call polyadenylation (pA) sites. Importantly, a strong majority (78%) of the reads mapped onto known 3′ UTRs (Additional file 1: Figure S3). This provides clear indication of the quality of these libraries as reflecting termini of messenger RNA. In aggregate, these samples allowed us to capture > 97% of all Drosophila genes annotated in D. melanogaster (r6.12), with 83% of all genes expressed at a minimum of 1 RPM in at least one library. We identified pA sites using reads bearing segments of untemplated poly(A). We filtered pA sites with downstream A-rich stretches of nucleotides to minimize potential sites of internal priming, and called dominant pA events when the events fell within 25 nucleotides of each other . We report here pA sites that are supported by at least three distinct reads amongst all libraries. In total, we confidently identify 62,032 pA sites (Additional file 3: Table S2; Additional file 4), of which ~ 40,000 are novel with respect to FlyBase annotation (r6.12). Therefore, our 3′-seq datasets provide comprehensive data on the landscape of 3′ end formation across the Drosophila transcriptome.
The CPA machinery recognizes specific cis-regulatory motifs and sequence context to determine sites of 3′ end formation, most notably the core polyadenylation signal (PAS; AAUAAA and other rarer variants) usually located 10–40 nucleotides upstream of the cleavage site, and a U-rich downstream sequence element (DSE) in the ~ 20 nucleotides following the cleavage site . We examined the sequence composition surrounding pA sites in our atlas, and observed strong enrichment of characteristic A-rich upstream PAS and U-rich DSE in the appropriate sequence ranges with respect to cleavage sites (Fig. 1b). Interestingly, we also observe a distinct A-rich sequence immediately upstream (< 5 nucleotides) of the cleavage site (Fig. 1b). This feature was previously noted from analysis of fly and mosquito 3′ ends derived from EST data [31–33], but has not subsequently been observed in any of the many other organisms analyzed by 3′-seq . We performed de novo motif searches in a ± 100-nucleotide window surrounding the ~ 62,000 cleavage sites, and observed overwhelming enrichment of canonical PAS and variant signals peaking at the −20-nucleotide position (Fig. 1c). The distribution of most common motifs in the 50-nucleotide window upstream of ends mapping to 3′ UTRs is shown in Fig. 1d. Interestingly, the order of the top four motifs (AAUAAA > AUUAAA > AAUAUA > UAUAAA) is the same as earlier reported from Drosophila EST analysis [32, 33]. Although the dominance of AWUAAA hexamers was expected, the usage of AAUAUA as the functional PAS in ~ 10% of Drosophila 3′ termini was notable, since it was not observed as a substantial PAS variant in deep sequencing of 3′ ends from Caenorhabditis elegans  or human .
Taken together, the sequence and motif properties validate the legitimacy of our 3′ termini maps and highlight idiosyncrasies of insect 3′ termini. Overall, these data permit high quality, nucleotide resolution, quantitative identification of the 3′ ends of polyadenylated RNAs, and the breadth and depth of our atlas comprises the most comprehensive such catalog of pA sites in D. melanogaster to date.
3′-Seq atlas broadly extends D. melanogaster gene annotations and isoforms
We examined the properties of our 3′-seq atlas in further detail. Interestingly, amongst the population of apparent intergenic raw 3′-seq reads, a disproportionate fraction of them mapped on the sense strand downstream of existing gene models. For example, more raw 3′-seq reads mapped to the sense strand 1 kb downstream of FlyBase r6.12 gene models than to either strand of the remainder of intergenic space (Additional file 1: Figure S3) and this enrichment was enhanced when we consider the positional enrichment of our 3′ end calls (Additional file 1: Figure S3). This was even more striking when normalizing for the disparate size of these genomic compartments (Fig. 1e, f; p ≈ 0, binomial test). This reflects that the genomic region immediately downstream of protein-coding genes contains a smaller number of higher-expressed poly(A) sites whereas total intergenic space contains many more marginally expressed 3′-seq clusters. Although the D. melanogaster transcriptome has arguably been quite thoroughly annotated via the modENCODE project [5, 36], these observations suggested that the most distal 3′ ends of many protein-coding genes might still remain under-annotated.
In order to assign these putative 3′ ends to upstream transcription units, we leveraged RNA-seq as additional evidence to aid in attributing the ends. Briefly, we assembled gene models de novo using isoSCM , and required that the sequence between the end of the annotation and the 3′-seq cluster have continuous RNA-seq evidence with any gaps < 100 bp. For example, chb shows extensions of its model by ~ 850 nucleotides, as evidenced by both 3′-seq and RNA-seq signals in samples from heads (Fig. 1g).
Remarkably, we identify 5190 D. melanogaster r6.12 gene models whose 3′ termini can be extended by > 25 nucleotides, and nearly a thousand of these can be extended by > 500 nucleotides (Fig. 1h). In total, this adds ~ 1.6 Mb to the transcriptome of protein-coding genes. The majority of these novel extension events, especially the distant extensions, represent minor isoforms in terms of bulk transcript. For example, the novel long 3′ UTR extension of the gene msi represents < 1% of total msi transcript in head (Fig. 1g). Nevertheless, the fraction of canonical PAS (AAUAAA) increases in the most distant, novel pA sites (0.5–1 kb and 1 kb + extensions), compared to novel pA sites that yield shorter extensions (56 vs 43%, p = 1.2E-11, Fisher’s exact test) (Fig. 1i). A linear regression analysis of the fraction of AAUAAA showed an increase with extension length (p = 0.002, R 2 = 0.96), confirming the validity of these events. As explored later, functional relevance of at least a subset of these is indicated by the fact that they harbor well-conserved post-transcriptional regulatory sites. Thus, these lower expressed 3′ UTR isoforms deserve annotation (Additional file 5: Table S3), and they may potentially represent highly regulated and/or cell type restricted transcripts.
Complexity of APA in D. melanogaster across cells and tissues
Some genes exhibit double-digit numbers of termini. An extreme example is Hrb27C, for which our previous northern blotting analysis indicated at least seven distinct well-accumulated 3′ end isoforms , but for which aggregate 3′-seq datasets suggest dozens of distinct functional pA sites across its 6.7 kb 3′ UTR (Fig. 2d). Nevertheless, not all genes that express long 3′ UTRs express large numbers of discrete 3′ UTR isoforms. For example, 2mit, Vglut, and corin are well-expressed genes with long (3–4 kb) 3′ UTRs that nevertheless all exhibit precise, single 3′-seq signals in heads (Fig. 2e; Additional file 1: Figure S4b).
The low level events, such as the majority of annotated ends in Hrb27C, retain features of bona fide PAS. Of note, 36% of ends that represent less than 5% of total gene expression still present one of the top three PAS types and present characteristic sequence composition around the cleavage site (Additional file 1: Figure S5), indicative of bona fide ends. This provides evidence that even lower-expressed 3′-seq termini are biochemically valid events generated through recognition of strong PAS. However, to provide a more practical measure of APA in Drosophila, we also segregate annotations of 3′ ends that comprise at least 5% of total expression of each locus (Additional file 6: Table S4; Additional file 7). This allows researchers to focus on isoforms that are more highly expressed and may be more likely to be empirically validated.
Overall, these genomic observations and individual gene examples illustrate that these 3′ UTR annotations vastly expand the complexity of terminal 3′ UTR isoform expression in Drosophila, and supply a key resource for the Drosophila community.
Expanding the repertoire of tissue-specific 3′ UTR utilization in D. melanogaster
Several of the gene examples shown thus far illustrate robust tissue heterogeneity in deployment of 3′ UTR isoforms. Indeed, we previously documented that ~ 400 Drosophila genes express isoforms with long 3′ UTRs in the nervous system while ~ 100 genes express specific short 3′ UTR variants in testis, with intermediate isoforms in ovary . However, our earlier studies could only document substantial APA differences evident from RNA-seq data between tissues, or occasionally as large expression change points within an individual library . In fact, in northern blot analyses, we have noted the existence of intermediate 3′ UTR isoforms with clear neural bias, but that were not necessarily exclusive to the nervous system ; these would not have been discernible from RNA-seq data. Thus, the availability of 3′-seq data allowed us to examine the scope of tissue-specific APA patterns more broadly. The Hairless gene shows how 3′-seq clearly illustrates this characteristic pattern of tissue-specific APA isoforms, even though testis, ovary, and head each express multiple 3′ UTR isoforms for this locus (Fig. 2f); other examples are shown in Additional file 1: Figure S4.
We quantified 3′ isoform usage of genes between pairs of tissues by calculating a weighted 3′ UTR length metric, taken as the average of all 3′ UTR isoform lengths per gene weighted by the contribution of each isoform’s expression. Although we have annotated many very long (multi-kilobase) 3′ UTRs in Drosophila, the weighting scheme reduces the length score of the vast majority of loci to < 3 kb (Additional file 1: Figure S6). Therefore, we plot up to 3 kb to emphasize visualization of the data on a linear scale. By comparing the weighted length of 3′ UTRs that are co-expressed in testis and head (Fig. 2g), or co-expressed in ovary and head (Fig. 2h), we observe that > 1000 and > 700 genes (Additional file 8: Table S5) express longer isoforms in head with respect to either gonadal tissue, respectively. Strikingly, just a handful of genes were called as expressing shorter 3′ UTR isoforms in heads in either gonadal comparison. Upon comparing testis and ovary, we observe that the dominant signature is for genes to express shorter APA isoforms in testis (Fig. 2i).
Overall, these trends are consistent with our previous findings  that Drosophila testis expresses shorter 3′ UTRs and head expresses much longer 3′ UTRs. However, our 3′-seq data allow us to vastly expand the scope of the tissue-specific alternative 3′ UTR profiles, thereby emphasizing the regulatory impact of 3′ UTR isoform expression in D. melanogaster.
Additional programs of 3′ UTR isoform expression in ovary and embryo timecourse
These observations led us to infer that a distinct gene set carries a characteristic 3′ UTR signature in ovary and very early embryos. Since the ovary is mostly comprised of developing eggs, the ovarian transcriptome is expected to be dominated by the maternal gene expression program. Consistent with this, the correlation of 3′-seq expression between ovary and 0–45′ embryo datasets is very high (R 2 = 0.89; Fig. 3c).
We therefore sought to identify 3′ terminal events that are specific to ovary/early embryos. To this end, we compared ovary data to the somatic male carcass (Fig. 3d), as well as to cell lines (Additional file 1: Figure S7), to identify specific “ovary-short” 3′ UTRs. We note the caveat that the carcass contains the ventral nerve cord and certain peripheral neurons, but cell lines should be devoid of mature neuron signatures. These comparisons change our perspective on tissue-specific APA. Many genes that we earlier classified as head-extended (Fig. 3e) are not extended with respect to carcass (Fig. 3f, red subset), although there certainly remain many hundreds of neural-extended loci. Instead, nearly twice as many loci proved to shorten their 3′ UTRs in ovary relative to carcass (Fig. 3d) than lengthen in head compared to carcass (Fig. 3f).
We performed similar comparisons of ovary and head to several cell lines and obtained a comparable picture (Additional file 1: Figure S7). Together, these analyses revealed > 400 genes in common that expressed shorter 3′ UTR isoforms in ovary relative to both male carcass and S2 cells. Similarly, we identify shortening events that are specific to testis by comparing 3′ UTR isoform expression in this tissue against female carcass or S2 cells. We report the list of genes that specifically shorten in gonads in Additional file 9: Table S6. Overall, our expanded 3′-seq atlas allowed us to appreciate that gonads exhibit independent trends of 3′ UTR shortening in Drosophila, and that a proportion of “head-extended” genes that we earlier characterized actually reflect ovary 3′ UTR shortening. Indeed, if we overlay onto this analysis the set of genes that we observed to express longer 3′ UTRs in head compared to ovary (Fig. 3e), we detect only 243 genes (Fig. 3f; Additional file 10: Table S7) expressing longer 3′ UTRs in head compared to both ovary and carcass (Fig. 3g). This confirms that a subset of the genes express specifically shorter 3′ UTRs in the ovary. Overall, these analyses define the maternal transcriptome as a novel, broad, tissue-specific APA setting in Drosophila.
We further interrogated the embryonic timecourse 3′-seq data. When examining modENCODE RNA-seq data that densely tile at 2-h intervals across 24 h of embryogenesis, we appreciated many loci that exhibited multiple tiers of progressive 3′ UTR extensions across development. The gene shep illustrates this phenomenon, whereby it starts with a short 3′ UTR in maternally deposited isoforms, expresses a longer 3′ UTR isoform at the start of zygotic transcription, and a further distal extension by late embryogenesis (Additional file 1: Figure S4D). This apparent developmental lengthening was a global phenomenon, and was not simply due to the “maternal short” program. Pairwise comparisons of all embryonic 3′-seq libraries showed that 3′ UTRs tend to lengthen progressively, even following zygotic transcription (Additional file 1: Figure S8). This can be easily visualized in a few pairwise comparisons of earlier embryonic libraries against the last timepoint (18–24 h). One can see that in the maternal transcriptome (0–45′; Fig. 3h), the dominant signature is for 3′ UTR shortening, with > 600 genes expressing a proximal isoform relative to 18–24 h embryos and only 73 genes expressing a distal isoform (Additional file 11: Table S8). In the comparison with 90′–6 h embryos (Fig. 3i), the bias is only half as strong, and in the next time point analyzed (6–12 h; Fig. 3j) it is weaker still; 12–18 h embryos are relatively similar in their 3′ UTR profiles as 18–24 h embryos (Fig. 3k).
Previous in situ hybridization experiments indicated that developmental embryonic 3′ UTR lengthening was due to selective expression of longer 3′ UTR isoforms in the embryonic central nervous system [6, 17]. To test if this was the basis of this phenomenon, we compared the “head lengthened” and “late embryo lengthened” gene sets. To do so, we first identified 321 genes whose 3′ UTRs were specifically extended in head compared to carcass (Additional file 12: Table S9), reflecting neural extension (as opposed to gonadal shortening, Fig. 3l). We then analyzed the behavior of the genes in this set that were also co-expressed in both 90′–6 h and 18–24 h embryo timepoints (218 genes). Of these, there was a clear unidirectional trend in which the only 3′ UTR differential genes were essentially all longer in 18–24 h 3′-seq library (152 genes; Fig. 3m; Additional file 13: Table S10). Thus, these data show that the apparent developmental lengthening of 3′ UTRs during embryogenesis includes a substantial component of tissue-specific extension of 3′ UTRs in the nervous system.
In summary, we demonstrate additional tissue and temporal APA patterns in our 3′-seq atlas, and reveal tissue-specific bases for apparent developmental shifts in 3′ UTR patterns.
Conservation of tissue-specific APA across Drosophilid species
We next sought to assess the breadth of conservation and divergence of tissue-specific 3′ UTR isoforms. Despite the availability of a dozen fly genomes for nearly a decade, experimental evidence for their transcriptomes has been sparse, and their gene annotations have relied mostly upon comparisons with D. melanogaster. Only recently have substantial amounts of RNA-seq data begun to be available for different sequenced Drosophilids . However, the bulk of these data were from whole animals, thus precluding assessment of tissue-specific isoforms.
We therefore analyzed close and distant relatives of D. melanogaster, namely D. yakuba and D. virilis, which are ~ 12 and ~ 62 million years diverged, respectively . We generated companion 3′-seq and total RNA-seq libraries of head, ovary and testis for these species, and supplemented these with 3′-seq datasets across embryogenesis (Additional file 2: Table S1). We subjected these to the same pipeline for calling 3′ termini as with D. melanogaster and confirmed that the ends constitute high quality termini as seen by the nucleotide distribution surrounding the derived cleavage sites (Additional file 1: Figure S9). Of note, both species recapitulate insect-specific features we noted for D. melanogaster pA sites, such as the very proximal A-rich region (Fig. 1b) and the propensity for usage of the AAUAUA variant (as analyzed in later figures).
Browsing of individual loci provided striking confirmation of the conservation of individual cases of neural-specific 3′ UTR lengthening and testis-specific 3′ UTR shortening that we had characterized in D. melanogaster . For example, the longest 3′ UTR we had experimentally validated was the 18.5 kb 3′ UTR of mei-P26 that is expressed in D. melanogaster nervous system, including adult heads. Its predominant isoforms are intermediate in ovary and short in testis. We observe these same tissue-specific APA trends in the other species, both in total RNA-seq and in 3′-seq data (Fig. 4c). Consistent with their phylogenetic relationships, the D. melanogaster isoforms are more similar to D. yakuba than to D. virilis. Notably, the D. virilis mei-P26 3′ UTR has expanded to 22 kb, making it one of the very longest 3′ UTRs known in an invertebrate. Perhaps unsurprisingly, these long 3′ UTRs are misannotated in public databases. On the other hand, we also observe evolutionary novelty in 3′ UTR isoforms. For example, for the sick locus, D. virilis retains the same major pA sites used in head and ovary as its D. melanogaster and D. yakuba orthologs, but it uses a novel dominant proximal pA site in testis (Fig. 4d).
When we evaluated D. yakuba and D. virilis at the genome level, we observed that both species recapitulated very strong trends to express globally longer 3′ UTR isoforms in head compared to testis (Fig. 4e, f), and globally longer 3′ UTR isoforms in ovary compared to testis (Fig. 4g, h). As mentioned, since we document a signature of maternal shortened transcripts, this appears to manifest in the fact that the length bias between head and testis is much more unidirectional in all three species, whereas there is a population of transcripts with bias to express longer 3′ UTR isoforms in testis relative to ovary. This was more so the case in D. yakuba than in D. virilis.
Overall, these experimental samplings across different branches of the Drosophila phylogeny clearly demonstrate that tissue-specific APA patterns are preserved across fruit fly evolution. However, it does not necessarily reflect whether the same genes are subject to tissue-specific APA. To test this, we compared the weighted 3′ UTR length between tissues in pairs of species. Note that this calculation assesses whether tissue-characteristic expression of 3′ UTRs is conserved, but does not take into account if the sequences of pA sites themselves are conserved (this is addressed later). In order to be more certain about APA calls for individual genes, we restricted this analysis to genes for which orthologs were called in all three species and expressed at > 5 RPM in all three tissues.
When we conditioned this analysis for genes that expressed longer 3′ UTRs in head vs. both ovary and testis, we found that 154 genes conserved this property across all three species (Fig. 4i; Additional file 16: Table S11), with a subset of genes retaining this in two out of three species. This indicates that length differences between head and gonads are generally under strong constraint across the Drosophilid phylogeny. Nevertheless, there are a substantial number of species-specific cases in which the head isoform is longer than gonadal isoforms (Fig. 4i; Additional file 16: Table S11).
To delve further, we conditioned the analysis on D. melanogaster genes for which we have auxiliary evidence for specific head-lengthening, based on comparison to carcass (Fig. 3l). We then asked what set of these genes were also lengthened across fly species when comparing head vs testis. In this analysis, we obtain a very different outcome in which the vast majority of loci are conserved in their tissue-specific APA profile (Fig. 4j; Additional file 17: Table S12). We conclude from this that neural 3′ UTR extension is under strong preferential conservation across species, but many other instances of apparent species-specific differences where head isoforms are longer than gonadal isoforms actually reflect de novo gonadal 3′ UTR shortening events. Indeed, such events can be seen by inspection of the 3′-seq and RNA-seq data (e.g., Fig. 4d).
Overall, the substantial evolutionary conservation of tissue-specific APA profiles indicates that these post-transcriptional processes incorporate into necessary regulatory regimes. On the other hand, the evolutionary plasticity of tissue-specific APA provides us an opportunity to examine the underlying genomic changes that can alter 3′ isoform deployment. We explore this in a later part of this study.
Expanding annotations of deeply conserved miRNA and RNA binding protein sites
Although new miRNAs continue to be identified all the time, the vast majority of these cloned over the past decade are species-specific loci that are poorly expressed, and whose regulatory impact is therefore unclear. The catalog of well-conserved miRNAs, which are believed to be the major effectors of the miRNA network, has not changed much during this time save for a handful of atypical loci. There continue to be active discussions on how best to predict their breadth of possible species-specific targets, or non-canonical target sites, or unconventional transcript targets [39–41], but the overall tenet remains that an initial go-to list of sites comprise well-conserved seed matches to well-conserved miRNAs, especially sites that reside within locally conserved regions [42, 43].
However, underlying such predictions is a comprehensive set of 3′ UTR annotations. For example, the popular TargetScanFly v6.2 resource (http://www.targetscan.org/fly_12/) utilizes 3′ UTR annotations from over 5 years ago which lack substantial genuine 3′ UTRs, including many neural 3′ UTR extensions. We therefore utilized the TargetScanS algorithm to perform de novo predictions of target sites for deeply conserved Drosophila miRNAs using our 3′ UTR annotations. Individual researchers must choose for themselves at what level of stringency they wish to utilize predictions, deciding on a balance of stringency to reduce false positives and leniency to cast a wider net for candidates. However, we highlight some statistics at various levels of site conservation using the 3′ UTR annotations used in TargetScanFly v6.2, as well as FlyBase r6.12 and by our newest extensions.
Since we previously noted that Pumilio and Elav binding sites appeared to be enriched in neural 3′ UTR extensions , we also annotated well-conserved matches to binding motifs for these RNA binding proteins (RBPs; Fig. 5c). At the deepest level of conservation, we identify 1978 and 1045 conserved binding sites for Pumilio (UGUANAN) and Elav (UUUGUUU), respectively. Indeed, headcase contains many well-conserved sites for both Elav and Pumilio (Fig. 5b). We also identify likely roles for autoregulation of these RBPs. We recently re-annotated the extent of the elav 3′ UTR , and we find a multitude of conserved Elav binding sites on common and alternative portions of the elav 3′ UTR, although none for Pumilio (Fig. 5d), in line with the known role of Elav in regulating its own 3′ UTR . Reciprocally, the pumilio 3′ UTR contains an abundance of deeply conserved binding sites for Pumilio, but only one for Elav (Fig. 5e). The annotations of conserved Pumilio and Elav binding sites are provided in Additional file 20: Table S14 as well as in GTF format files (Additional file 21).
Impact of PAS identity on alternative pA site usage
The efficiency of cleavage and polyadenylation is affected by the strength of the underlying PAS [46, 47]. For example, proximal bypassed pAs found in 3′ UTRs generally exhibit weaker PAS, as evidenced by a lower percentage of such sites bearing a canonical AAUAAA PAS [34, 48]. To assess trends of Drosophila PAS strength observed from previous studies of small sets of EST-derived ends , we searched for differences in PAS identity in the 50-nucleotide windows upstream of our atlas of pA sites. We divided sites according to their residence in genes according to single vs multiple ends, and according to their tissue-specific APA properties.
Recently, it was reported that RNA structures are more highly enriched in the space between the PAS and the cleavage site as a function of distance, playing a role in 3′ end processing by juxtaposing PAS and cleavage sites . We analyzed the structure-forming potential between the canonical PAS AAUAAA and the resulting pA cleavage sites as a function of distance between the two elements. Indeed, we observed that pA cleavage sites that have AAUAAA PAS at a greater distance (> 30 nucleotides) showed more stable structure-forming potentials between PAS and cleavage site compared to AAUAAA PAS which were more proximal to the cleavage site (< 30 nucleotides) (p < 0.04). pA events that lack any of the top ten PAS hexamers upstream of the cleavage site in a 100-nucleotide window show no structure-forming potentials compared to shuffled sequences (p < 1E-9; Additional file 1: Figure S12). This supports the concept that structured elements might bring PAS that are further away from the cleavage site (> 30 nucleotides) into closer proximity to sites of endonucleolytic cleavage to mediate effective 3′ end formation.
To test for correlation between PAS identity and 3′ UTR isoform expression, we determined the relative strength score at each pA site, which represents the fraction of isoforms ending at a specific site compared to downstream sites. This was calculated from the fraction of reads at each pA site out of all reads at that site or downstream. When we look at the cumulative relative strength distribution of pAs according to PAS, we observe that known stronger PAS variants correlate well with their relative functional usage (Fig. 6b). Indeed, the PAS variants separate completely in their CDF profiles as AAUAAA > AUUAAA > AAUAUA > other common PAS variants > no common PAS variants. These findings are remarkable considering there are many other post-transcriptional regulatory reasons that could determine the final steady-state levels of a given transcript observed in cells , yet core PAS identity proved to have a strong observable impact.
Overall, these results confirm that, in Drosophila, as in other eukaryotes, core 3′ end formation sequences and structures likely contribute to generation of alternative 3′ end isoforms and PAS identity contributes to the final relative steady state levels observed for individual isoforms.
Impact of PAS identity on tissue-specific pA site usage
We next examined if there were differences in pA sites of tissue-specific termini. These can exist in genes that are inherently tissue-specifically expressed, or that are more broadly expressed but undergo tissue-specific APA. To start, we isolated genes that were specific to head, ovary, or testis (i.e., expressed in one of these tissues at > 1 RPM and < 0.1 RPM in the two companion tissues) and compared these to broadly expressed genes (> 1 RPM in all three tissues). When we plotted PAS frequencies amongst the pA sites in these cohorts, we specifically observed increased usage of canonical AAUAAA amongst head-specific genes (Fig. 6c) (head, 62%; ovary, 40%; testis, 40%; p H vs O = 2.6e-4, p H vs T = 3.2E-24, p O vs T = 1, Fisher’s exact test). A higher stringency in pA site definition in head would be consistent with a propensity to express longer 3′ UTR isoforms in the nervous system by skipping suboptimal pA sites.
Given that the strength of the PAS can influence the relative levels of 3′ UTR isoform accumulation [46, 47, 51], we asked if there was a correlation between tissue-specific 3′ UTR isoform expression and putative pA strength. To do so, we identified cohorts of tissue dominant pA sites, defined as those with at least 30% higher relative strength in one tissue compared to the other two tissues, based on strength scores derived for each tissue. There were barely any head-dominant pA sites (7), consistent with prior observations that head predominantly undergoes lengthening (Figs. 2 and 4), and may have more stringent rules for pA site recognition (Fig. 6c). On the other hand, we identify a much greater number of testis-dominant pA sites (1053) compared to ovary (108), suggesting that testis has idiosyncratic rules for PAS recognition. When we look at the PAS upstream of these tissue-specific pA sites, we notice that the dominant ends in testis have much less canonical AAUAAA PAS usage compared to ovary (20 vs 52%, p = 3E-12; Fig. 6d). These data provide evidence that the Drosophila testis has relaxed rules for recognition of pA sites.
Sequence divergence in cis-regulatory motifs drive evolutionary changes in APA
We next interrogated the degree to which PAS motifs were preserved at functionally conserved pA sites. To do so, we compared the PAS upstream of D. melanogaster pA events to the PAS upstream of the syntenic position in the other species. The overall distribution of PAS sequence variants was similar upstream of the collection of syntenic, functionally conserved events between D. melanogaster and both D. yakuba (for canonical AAUAAA, 48 vs 48%, p = 0.45, Fisher’s exact test) and D. virilis (46 vs 41%, p = 3.9E-11), whereas there was substantial divergence in D. yakuba (32 vs 14%, p = 7.1E-33) and D. virilis (37 vs 9%, p = 1.1E-146) at the respective locations of pA sites that had lost functionality (Fig. 7d, e). To gain further insight, we examined the conservation of each subclass of PAS variant. In D. yakuba, we observe striking conservation of the exact PAS found upstream of the D. melanogaster site, for each class ranging from strong to weak variants (~90% for canonical AAUAAA and ~ 75% for weaker PAS) (Fig. 7f). In D. virilis, we only find the canonical AAUAAA unchanged at functionally conserved, syntenic positions ~ 70% of the time, while the weaker variants appear to be conserved at the sequence level only ~ 30% of the time. Curiously, we also observe a higher degree of weaker PAS converting to a stronger AAUAAA at these functionally conserved syntenic sites in D. virilis (22%) compared to D. yakuba (7%) (p = 7E-138; Fig. 7g).
Such a directional change might make sense if there was an accompanying change in expression usage of these ends, given that we have observed such a correlation within an individual species (Fig. 6b). We therefore tested if alteration in PAS quality during evolution can impact isoform usage, bearing in mind that, in each case, we are testing pairs of functionally conserved sites defined from experimental data in both species. To our knowledge, such an analysis has not been previously attempted at the genome scale. To do so, we analyzed the cumulative distribution of the relative strength of PAS that change in identity. We focused on the comparison between D. melanogaster and D. virilis, the most evolutionarily divergent pair, for which the largest number of evolving, yet functionally conserved, sites was available (sites from Fig. 7g, left panel set, replotted in Fig. 7h–l separated by PAS evolutionary change type).
We were pleased to observe very clear results in all comparisons, which reflected decrease or increase in relative pA site usage in accordance with evolutionary change in PAS strength (Fig. 7h–l). For example, for D. melanogaster pA sites that bear AAUAAA, but have a different variant at the syntenic position in D. virilis, the relative strength of those sites decreases in the same ordered fashion (Fig. 7h) expected as their overall relative site strength observed across all D. melanogaster pA sites (Fig. 6b). On the other hand, the weakest sites in D. melanogaster (lacking a top PAS) exhibit reciprocal behavior. Their functional counterparts in D. virilis exhibit stronger levels of recognition when their PAS is stronger (Fig. 7l)—e.g., when the corresponding PAS in D. virilis is AAUAAA (p = 5E-35)—while the D. virilis sites behave similarly to the ones in D. melanogaster when there is no top ten PAS (p = 0.3). All of the intermediate pA sites can be seen to evolve into correspondingly functionally weaker or stronger sites (Fig. 7i–k). These analyses reveal the importance of PAS identity in influencing the degree of pA site recognition in vivo and demonstrate that nucleotide-level changes in the PAS can drive measurable changes in APA isoform usage during evolution.
We also explored the conservation of other elements, such as the DSE. To this end, we were intrigued by a population of functionally divergent pA sites that, nonetheless, can be mapped to syntenic positions between D. melanogaster and other fly species and in particular retain the canonical AAUAAA PAS (Fig. 7f, g, boxed bars). What can explain the change in their utilization? We plotted the nucleotide composition surrounding these cleavage sites and compared them to equivalent numbers of control sites that are functionally conserved between the respective species and also retain AAUAAA. In D. yakuba, control conserved pA sites (Fig. 7m) mirror what we observed in D. melanogaster (Fig. 1b), that is, we observe the upstream A-rich sequence reflecting the PAS and the downstream U-rich sequence indicative of the DSE. However, the nucleotide composition at the D. yakuba sites that retain AAUAAA but are not functionally utilized is noticeably different, in that there is less evidence of DSEs (Fig. 7n). We repeated this analysis for D. melanogaster functional sites that are not recognized in D. virilis yet retain AAUAAA and obtained a similar view. Control D. virilis 3′ ends exhibit a prominent DSE (Fig. 7o), whereas locations that lack 3′ end evidence in the face of an optimal PAS clearly lack a DSE (Fig. 7p).
Overall, these species data comprise an enormous in vivo mutagenesis experiment, from which we have been able to use quantitative data from deep sequencing of 3′ ends to compile broad information on specific cis-alterations associated with evolutionary changes in alternative polyadenylation usage. Perhaps surprisingly, we document that a substantial amount of evolutionary divergence can be explained simply by specific divergence within PAS and/or DSE motifs. Although it is certainly the case that 3′ end formation is influenced by auxiliary RNA-binding proteins that influence the activity of the core polyadenylation CPA machinery, these data suggest that a major driver of evolutionary change in APA isoform usage is mediated directly through changing the efficiency of recognition by the CPA activity at a given pA site.
Comprehensive atlases of 3′ UTR isoforms across multiple Drosophila species
Despite almost two decades of genome-wide efforts to annotate the Drosophila transcriptome, the 3′ ends of genes have eluded careful characterization . This is the case despite recent reports of tissue-specific expression of specific 3′ end isoforms in Drosophila and RNA-seq based estimates of 3′ end isoform complexity that suggested that ~ 50% of genes express multiple 3′ end isoforms [6, 17]. Here, we deploy a 3′-seq protocol that we developed to generate a genome-wide atlas of sites of polyadenylation. We expand the number of genes that undergo APA to more than 65% of all genes, bringing Drosophila in line with what has been observed in other high eukaryotes . We provide an atlas of 3′ end isoforms that covers 97% of all expressed genes, which we hope will be incorporated in a future annotation of D. melanogaster. Additionally, we generated 3′ end annotation of head, ovary, and testis, as well as time-points that cover all of embryonic development, for two additional species of Drosophila.
These combined datasets should be of general utility to both the Drosophila community as well as scientists interested in investigating aspects of the evolutionary conservation of 3′ UTR isoform expression and formation. We will work to incorporate our pA site annotations in public databases (e.g., UCSC Genome Browser, FlyBase) so that our revised gene models are broadly accessible. These data can have substantial impact for considering the post-transcriptional regulation of genes of interest. For example, we and others have shown how the realization of previously unannotated Drosophila neural 3′ UTR extensions helped elucidate critical miRNA biology, sometimes mediated via alternative aspects of 3′ UTRs [44, 53, 54]. The broadened catalogs of deeply conserved miRNA/RBP binding sites in Drosophila that we provide in this study via our updated 3′ UTR annotations can guide future studies of post-transcriptional regulation, especially in the nervous system. For those interested in the Drosophila genomics, our 3′-seq data can undoubtedly be mined in many additional ways. For example, while we focused this study on alternative 3′ UTRs of protein-coding genes, there are populations of intronic events (Fig. 1) that can be further interrogated to characterize intronic polyadenylation. In addition, there is another population of apparent intergenic events (Fig. 1) that presumably correspond to currently unannotated transcripts, and may include non-coding RNAs. Indeed, manual browsing indicates directional enrichment of RNA-seq signal upstream of many such intergenic events. In the future, these 3′-seq data can be integrated with other transcriptome and genome-wide datasets to further characterize RNA processing across Drosophila species.
It is important to note that 3′-seq data, as well as all data obtained using short read-based RNA sequencing technologies, allow one to infer mRNA isoforms but have limitations for direct understanding of the complexity of underlying transcript isoforms. For example, emerging long read sequencing technologies will be needed to obtain evidence of the connectivity of different promoter isoforms and splice isoforms with 3′ isoforms, knowledge that is mostly unavailable with current platforms. In light of growing mechanistic connections between transcription, splicing, and 3′ end processing, it will be critical in the future to have awareness of full-length transcript structures.
Complex landscapes of 3′ UTR isoform expression in Drosophila
Despite the lack of a next-generation sequencing-based annotation of Drosophila APA isoforms, the character of the most utilized PAS was already investigated through analysis of EST data [32, 33]. Strikingly, these early analyses were already able to define the PAS strength hierarchy that we identify in our study. Not surprisingly, the AAUAAA hexamer acts as the canonical PAS in Drosophila as in all other higher eukaryotes investigated to date, and as predicted at the time of its discovery in 1976 . We confirm the previous observation of a significant use of the AAUAUA hexamer in Drosophila and identify this variant upstream of 10% of all pAs. Interestingly, this PAS does not appear to be significantly present upstream of cleavage sites in either C. elegans  or humans . This PAS appears to be functional in Drosophila, as shown in experiments that mutated the proximal AAUAUA of Dl to AAGAGA, causing loss of proximal 3′ UTR isoform expression and sole recognition of the distal PAS . The higher use of the AAUAUA PAS to define 3′ ends in Drosophila, and perhaps in insects more generally, raises questions about the nature of the increase in recognition of this specific variant. Future studies will be needed to understand the molecular basis of this increase in recognition, which could occur through a difference in the specificity of the cleavage and polyadenylation machinery in Drosophila or the binding of RBPs that cooperate with recognition of this PAS, among several possible mechanisms.
One of the most intriguing aspects of the expression of APA isoforms in eukaryotes is the specific accumulation of isoforms in a tissue- and length-specific manner. This was observed early on through EST data analysis [48, 57], which was subsequently confirmed through sequencing of 3′ end isoforms [34, 35] and RNA-seq analysis . We greatly expand the number of genes that express 3′ UTR isoforms in a tissue-specific manner in Drosophila. Confirming our previous observations, head samples express longer 3′ UTR isoforms when compared to all tissues we analyzed, and indeed we identify hundreds of additional genes exhibiting this pattern of expression. However, not all transcripts that express longer isoforms in head samples are head specific, as many of these appear to be expressed in an analogous manner in somatic tissues found in carcass and cell lines. We identify a previously unrecognized program of ovary-specific shortening events that are carried into the maternally deposited transcriptome. As an ovary 3′ UTR shortening program was also observed in zebrafish , this raises the possibility of a conserved mechanistic strategy and/or developmental utilization of this APA program. As the 3′ UTRs of these maternally deposited transcripts rapidly lengthen with the advent of zygotic transcription, it will be interesting to investigate whether there is a functional role of APA to specifically modulate the maternal transcriptome during this developmental transition .
Germline expression of specific 3′ UTR isoforms appears to be very complex and subject to change in evolution. For example, expression of ovary-specific short isoforms occurs in zebrafish, where these isoforms are found to be the shortest amongst all tissues analyzed, including testis, while in Drosophila we observe the shortest 3′ UTR expression pattern in testis. On the other hand, the expression of shorter 3′ UTRs in testis appears to be more conserved amongst metazoan organisms [59–61]; however, these are possibly more labile to evolution of the specific termini. We find that the Drosophila testis appears to have relaxed rules regarding its ability to recognize suboptimal PAS motifs that are not utilized in other tissues. In mammals, it has been suggested that an open chromatin state may contribute to the proficiency of testis for efficient utilization of early PAS to generate short 3′ UTRs . Overall, the role that these tissue-specific dynamics play in biology is just beginning to emerge and should continue to be an active field of investigation.
Conservation and evolution of APA in Drosophila
Conservation of sites of cleavage and polyadenylation has been investigated in mammalian systems , showing conservation of tissue-specific patterns. Here, we provide 3′ end evidence for head, ovary, and testis of three different species of Drosophila, at a depth much greater than previously achieved in studies of evolutionary conservation of APA , allowing deeper analysis of site-specific conservation. Our analysis begins to mine this rich dataset, demonstrating great conservation of patterns of longer 3′ UTR expression in heads and shortest in testis. Furthermore, we identify many syntenic positions that are conserved for 3′ end formation between species and observe a strong role of the PAS and DSEs in mediating conservation or change in the degree of pA recognition. This is only the beginning of an analysis that promises to uncover important cis-regulatory elements that mediate tissue-specific accumulation of 3′ end isoforms.
A recent study of quantitative trait loci that affect the expression of alternative 3′ UTR isoforms uncovered many sites under genetic control, identifying variants that cluster around pAs as well as putative RBP binding motifs that appear to have a role in specific 3′ end isoform expression . This and our study confirm the importance of cis-regulatory elements in modulating the expression of specific isoforms, some of which play significant biological function in vivo . Our comprehensive annotation of 3′ UTRs in Drosophila sets the base for using the fly as a model for understanding the regulation of tissue-specific APA and the functional ramifications of this complex phenomenon in multiple aspects of biology.
In this study, we provide a comprehensive genomewide annotation and analysis of 3' end mRNA isoforms in three Drosophila species, including dozens of developmental/tissue/cell line 3'-seq datasets in the flagship model fruitfly D. melanogaster. We identify >100K novel 3' termini across these species, and dramatically expand the number of genes known to undergo APA. Furthermore, we identify hundreds of additional genes that exhibit developmental and/or tissue specific expression of 3' UTR isoforms, confirming expression of longer isoforms in head and shorter ones in testis while also uncovering specific shortening of 3' UTRs in ovary. Evolutionary comparisons demonstrate broad conservation in overall patterns of tissue specific APA, but also reveal both conservation and divergence of specific cis elements that direct pA recognition. Additionally, we show that novel annotated 3' UTRs participate in conserved post-transcriptional regulatory networks for miRNAs and RBPs. These analyses only scratch the surface of what can be done with these extensive datasets, and we hope the broader scientific community will take advantage of this rich resource to advance our understanding of 3' end formation and the biological implications of developmental and tissue specific 3' UTR expression and regulation.
Cell and tissue sample preparation
Total RNA was obtained using TRIzol according to manufacturer guidelines. Samples for head were isolated from 2–5-day-old D. melanogaster (Canton S), D. yakuba, or D. virilis mated female flies by cutting precisely at the head, which mostly excluded the thoracic ventral nerve cord. Ovary and testis samples were also isolated from 2–5-day-old D. melanogaster (Canton S), D. yakuba, or D. virilis flies. For embryo collection, 2–5-day-old flies were raised on apple juice agar plates on yeast paste for the required time windows (D. melanogaster, 0–45′, 45–90′, 90′–6 h, 6–12 h, 12–18 h, 18–24 h; D. yakuba, 0–12 h, 12–24 h; D. virilis, 0–12 h, 12–24 h, 24–36 h, 36–48 h). Whole flies were 2–5-day-old mated males or females. Carcass samples of 2–5-day-old females or males were obtained by cutting off and excluding the head and by removing either the ovaries or the testes. OSS cells were cultured as described  and the remainder of cell line RNA samples were obtained as part of the modENCODE project . The same RNA samples were used for preparing RNA-seq and 3′-seq libraries.
3′-Seq library preparation, mapping, and atlas generation
We used our recently published strategy to generate 3′-seq libraries and the computational workflow to analyze the data . Briefly, 3′-seq libraries were prepared using 2 μg of total RNA as starting material. The total RNA was chemically fragmented and custom oligo-dT primers were used to capture and synthesize cDNA representing the junction of the poly(A) tail and the 3′ end of RNAs. The cDNAs were sequenced using an Illumina HiSeq-1000 sequencer with SE-50 mode. The data were mapped onto the genome assemblies and 3′ end clusters were derived and quantified within a 25-bp window as described .
RNA-seq library preparation and mapping
Total RNA-seq libraries were prepared using the Illumina TruSeq Stranded Total RNA Library Prep Kit (catalog number RS-122-2201) starting with 1 μg of total RNA in water. The protocol was followed exactly as per the manufacturer’s instructions. The libraries were sequenced on an Illumina HiSeq-1000 sequencer. Total RNA-seq data generated from the current study as well as the available modENCODE RNA-seq data (SRP001696) were mapped to the corresponding UCSC genome assemblies: Drosophila melanogaster (dm6), Drosophila yakuba (dyak3), and Drosophila virilis (dvir3). HISAT2 aligner was used for the alignment with default parameters .
Gene expression was quantified using RNA-seq or 3′-seq employing the trimmed mean of M-value (TMM) normalization method using the edgeR/Limma Bioconductor library . The voom method of Limma  was used to correct for the Poisson noise due to the discrete counts of RNA-seq. Gene counts of either RNA-seq or 3′-seq, using our extended annotation (Additional file 5: Table S3), were computed using FeatureCounts . Differential gene expression analysis was performed using a standard workflow using the DESeq2  package in Bioconductor.
Assignment of 3′ ends to genomic features
3′ Ends were assigned to genomic features in the order 3′ UTR > CDS > 5′ UTR > intron. For genes that had more than one 3′ UTR annotation, the 3′ UTR with the most distal 5′ start coupled with the furthest 3′ end annotation was classified as the terminal 3′ UTR and was used in the downstream analysis. 3′ UTR annotations that result from recognition of pAs in introns were excluded from the analysis but are reported in Additional file 3: Table S2. If an end overlapped two different gene loci in the same orientation, the end was classified as ambiguous and excluded from downstream analysis. If the end did not overlap any existing annotation it was initially flagged as intergenic. We rescued ends falling 3′ of an annotation within a 5-kb window if a matched RNAseq sample had continuous coverage in the window between the annotation and the 3′ end. The coverage was assessed using isoSCM , creating annotations of 3′ UTRs based on RNAseq allowing for gaps that are less than 100 nucleotides. These ends set the 3′ limit of our extended terminal 3′ UTR annotation (Additional file 5: Table S3).
Analysis of features around 3′ ends
To assess sequence composition around cleavage sites, nucleotide distributions were computed around the cleavage site. To identify the most common PAS upstream or DSE downstream of the cleavage site, we looked for the most represented hexamer in a 50-nucleotide window upstream or downstream of the cleavage site. Once this was identified, we removed those ends and repeated the process again until we identified the top ten enriched hexamers for either PAS or DSE.
To compare structure-forming potentials of distal and proximal PAS, the distances between canonical PAS, AAUAAA, and poly(A) cleavage sites were examined within 30, 50, and 100 nucleotides separately. To avoid influence of the weaker PAS, we required no major top ten PAS were found in shorter distances when examining the longer distances. We predicted structures using RNAfold in the ViennaRNA package  and the ensemble free energy was calculated for each sequence with a parameter of –p0 –noPS and normalized by the sequence length. As a control, we shuffled each sequence by preserving the dinucleotide composition.
Identification of genes that express alternative 3′ UTR isoforms
For this and all downstream analyses, we analyzed 3′ ends in the 3′-most terminal 3′ UTR as described above, and we additionally excluded all genes that contain annotated introns in the 3′ UTR. To assess the pattern of 3′ UTR expression for a given gene, we calculated a weighted 3′ UTR length metric, as previously reported . Briefly, we took the average of all 3′ UTR isoform lengths per gene weighted by the 3′-seq expression contribution of each isoform. The genes expressing alternative 3′ UTR isoforms between two samples were defined by a differential weighted 3′ UTR length greater than 100 bp and an expression of greater than 5 RPM in both samples.
Analysis of 3′ end relative strength
We calculated relative strength scores for each 3′ end in terminal 3′ UTRs undergoing APA. The relative strength at each site was calculated by normalizing expression of the end by the total expression at the site and all downstream recognized sites. A relative strength of 1 signifies that no isoforms for the specific gene are detected beyond that site (max strength) and a score of 0 means that the site is not recognized while downstream ones are. We calculated the difference in strength between the same pA site in two different samples by taking the difference of the relative strength scores for the ends that were recognized in both samples being compared.
Analysis of orthologous 3′ ends
For this analysis, we only considered ends that had as evidence at least three reads in the head, ovary, and testis libraries, as these three tissues were sequenced in all three species. To identify the syntenic sites between D. melanogaster and D. yakuba or D. virilis we used the UCSC liftOver tool. pA sites that were ±25 nucleotides from the lifted D. melanogaster end and were reciprocal best matches when the proposed syntenic site from the other species was lifted back onto the D. melanogaster genome were considered functionally conserved. Additionally, we only analyzed ends on terminal 3′ UTRs that have defined orthologs in all three species (9844 genes; Additional file 22: Table S15).
To identify the genes that show a similar pattern of 3′ UTR expression between tissues, we considered the genes that are orthologous in all three species and that are expressed at 5 RPM minimum in both tissues and in all three species.
miRNA target and RBP motif prediction
We used TargetScanS software  to predict miRNA target sites in terminal 3′ UTRs with extended 3′ ends derived in this study (Additional file 6: Table S4). For the deeply conserved miRNA sites, site conservation is defined by 9 out of these 12 species (D. melanogaster, D. simulans, D. sechellia, D. yakuba, D. erecta, D. ananassae, D. pseudoobscura, D. persimilis, D. willistoni, D. virilis, D. mojavensis, D. grimshawi), at least one of which had to be a virilis-group species (D. virilis, D. grimshawi, D. mojavensis). Only the strong seeds 7mer-m8 and 8mer were considered. Position weight matrices (PWMs) for RBPs were taken from , and the fimo program in The MEME Suite (http://meme-suite.org/) was used to scan RBP sites in the annotated 3′ UTRs. The RBP site conservation is defined by presence in at least 3/5 melanogaster-subgroup species (D. melanogaster, D. simulans, D. sechellia, D. yakuba, and D. erecta) along with at least one obscura-group species (D. pseudoobscura, D. persimilis) with one mismatch allowed.
The datasets generated and analyzed during the current study are available at the NCBI GEO repository (GSE101603) .
We thank Sol Shenker for developing computational tools to identify pA sites and insightful discussions throughout the study. We also thank Alex Flynt, Nan Pang, and the modENCODE Project for providing RNA samples, the San Diego Drosophila Species Stock Center for fly species stocks, and the SKI genomic core as well as NYGC for sequencing the 3′-seq and RNAseq samples.
Work in E.C.L.’s group was supported by the National Institutes of Health (R01-NS083833 and R01-GM083300) and MSK Core Grant P30-CA008748.
PS generated all the 3′-seq libraries and performed the bulk of computational analyses. JW performed additional computational analysis and statistical tests. PS and ECL wrote the manuscript with input from JW. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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