{"id":16475,"date":"2013-09-05T10:42:08","date_gmt":"2013-09-05T14:42:08","guid":{"rendered":"http:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/genome-wide-signatures-of-convergent-evolution-in-echolocating-mammals\/"},"modified":"2013-09-05T10:42:08","modified_gmt":"2013-09-05T14:42:08","slug":"genome-wide-signatures-of-convergent-evolution-in-echolocating-mammals","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/genome\/genome-wide-signatures-of-convergent-evolution-in-echolocating-mammals\/","title":{"rendered":"Genome-wide signatures of convergent evolution in echolocating mammals"},"content":{"rendered":"<p><p>Taxonomic coverage    <\/p>\n<p>    We collected new genome-wide sequence data from four bat    species, selected from the two suborders and encompassing the    paraphyly of echolocating bat lineages (see ref. 13). From the suborder    Yinpterochiroptera we studied the non-echolocating Old World    fruit bat Eidolon helvum (family Pteropodidae) and two    laryngeal echolocating species, Megaderma lyra    (Megadermatidae) and Rhinolophus ferrumequinum    (Rhinolophidae). From the suborder Yangochiroptera we studied    the laryngeal echolocating species Pteronotus parnellii    (Mormoopidae) that has independently evolved constant frequency    echolocation.  <\/p>\n<p>    From Ensembl (<a href=\"http:\/\/www.ensembl.org\/\" rel=\"nofollow\">http:\/\/www.ensembl.org\/<\/a>), we also    obtained sequence data from two additional batsthe laryngeal    echolocating species Myotis lucifugus (Yangochiroptera;    Broad Institute) and the non-echolocating Old World fruit bat    Pteropus vampyrus (Yinpterochiroptera; Baylor College of    Medicine Human Genome Sequencing Center)as well as the    echolocating bottlenose dolphin Tursiops truncatus.    Genomic sequences from 15 additional mammal species were    downloaded from Ensembl giving a total of 22 mammals (listed in        Supplementary Table 1).  <\/p>\n<p>    To investigate the prevalence of convergent evolution at a    genome-wide level associated with the independent evolution of    echolocation in bats and cetaceans, we used a method that    builds on maximum-likelihood phylogenetic reconstruction. This    method compares, for a given sequence alignment of orthologous    coding sequences (CDS), the goodness-of-fit of the accepted    phylogenetic tree with that of an alternative convergent    hypothesis (in this case, in which echolocating taxa were    forced into a spurious monophyletic clade). From our data set,    we identified and tested three hypotheses: (1) H0,    the commonly accepted species phylogeny (for example, refs    13, 23, 24, 25) in which cetaceans    (represented in our data set by the common bottlenose dolphin    Tursiops truncatus) are nested within the even-toed    ungulates in the order Cetartiodactyla, and the order    Chiroptera is split into the suborders Yangochiroptera and    Yinpterochiroptera, with paraphyly of bat laryngeal    echolocation13; (2)    H1, or batbat echolocation convergence (monophyly    of all echolocating bats in the data set); and (3)    H2, or batdolphin convergence (monophyly of all    echolocating mammals in the data set). All three phylogenetic    hypotheses are shown in Fig.    1. The scale bar (in amino acid substitutions) is provided    for approximate reference only, as branch lengths were    optimized at runtime.  <\/p>\n<p>    Because the H2 (batdolphin) hypothesis is    necessarily a radical rearrangement of the commonly accepted    species topology, and the concept of an exact branching order    or the true topology does not apply in this case, we proposed    a number of separate but related versions of this hypothesis,    all of which were evaluated equally in the analysis. In each    case the rest of the mammalian species phylogeny was fixed, as    in the H1 hypothesis. In the first case we    constrained all five echolocating taxa to a single ancestral    node (hard polytomy); second we enumerated the seven    bifurcating trees that are possible where the position of T.    truncatus is free to vary, but the suborders of    echolocating batsYangochiroptera (P. parnellii and    M. lucifugus) and Yinpterochiroptera (R.    ferrumequinum and M. lyra)were preserved. A final    topology was specified as a soft polytomy, with the resolution    of the clade of echolocators being resolved by RAxML at    runtime, with the rest of the phylogeny remaining constrained.    A majority clade-consensus (MCC) summary phylogeny was    constructed from these 2,326 inferred soft-polytomy    H2 trees using TreeAnnotator v1.7.4 (in the BEAST    v1.7.4 distribution31). This    phylogeny recovered the Yangochiroptera and Yinpterochiroptera    clades of echolocating bats with good (>50%) node support.    When we compared the goodness-of-fit of all phylogenies (as    opposed to pairwise comparison relative to the species    phylogeny Ho) we found the species phylogeny was    preferred at 1,170 loci (55%), with the batbat phylogeny    H1 preferred next most often (548 loci; 26%). The    soft-polytomy version of H2 (resolved by RAxML) was    the preferred phylogeny among 50% of the remaining loci, with    remaining support equally split between the other H2    versions. We therefore adopted the soft polytomy, RAxML    resolved version of H2 as our main batdolphin    hypothesis.  <\/p>\n<p>    Novel sequence data from the four bat species listed above were    generated by BGI on an Illumina Genome Analyzer platform    (Illumina), based on genomic libraries of 500-bp insert sizes.    Using this method we obtained approximately 3341Gb of short read sequence    data per species.  <\/p>\n<p>    The CLC de novo algorithm (CLC bio) was used for    assembling raw reads into contigs using different k-mer    size values ranging from 32 to 50. The assembled contigs from    the CLC output were then processed using the module Prepare of    the SOAP package to do scaffold assembly using the scaff    command of SOAPdenovo. Finally, gaps were filled using the    GapCloser32 tool. The    resulting assemblies consisted of between 210,080 and 315,526    genomic sequences (depending on species), with an average depth    of coverage of 17 to 18. Estimated genome size was    approximately ~2Gb in all four bats, whereas contiguity (as    assessed by the N50 statistic) ranged from 16,292bp (M. lyra genomic    sequences) to 27,140bp (E. helvum). Homology-based gene    prediction analyses using the genBlastG33 tool recovered    20,424 gene models for R. ferrumequinum, 20,043    for M. lyra, 20,455 for E. helvum    and 20,357 for P. parnellii, in line with    published gene content values for other mammals34. The    completeness\/contiguity of the gene representation was    evaluated using the CEGMA (Core Eukaryotic Genes Mapping    Approach) pipeline35, 36 and found    ranging across species between 61.29% to 77.02% and 90.32% to    96.77% for complete and partial genes, respectively. These    compared well to the published M. lucifugus genome; when    we analysed that genome using CEGMA the comparable    completeness\/contiguity scores for complete and partial genes    were in the middle of this range (62.9% and 91.5%,    respectively).  <\/p>\n<p>    To identify genes adequate for systematic phylogenetic-based    analyses of convergent sequence evolution, we next filtered the    above predictions for single-copy orthologous protein-coding    genes conserved across the Eutheria. This was achieved by    performing reciprocal blast searches against a database    consisting of the gene models for the four bats, and using as    queries the human sequences of 11,185 genes reported as 1-to-1    or apparent 1-to-1 orthologues between the human and    Myotis genomes in Ensembl databases (<a href=\"http:\/\/www.ensembl.org\/\" rel=\"nofollow\">http:\/\/www.ensembl.org\/<\/a>, release    63). In total we determined 7,612 1-to-1 orthologous genes,    from which the longest coding sequences (CDSs) were then    retrieved from Ensembl for the 18 additional mammalian genomes    (Supplementary    Table 1).  <\/p>\n<p>    Coding gene sequences (CDS) of individual loci were built and    aligned as codons using a modified version of    transAlign37 incorporating    MAFFT38, such that all    sequences remained in the correct reading frame. Any    ambiguously aligned sites, and codons with excessive numbers of    gaps, were removed from each gene alignment using    Gblocks39 under the    following options: t = c b1 = $b1 b2 = $b1 b3 =    1 b4 = 6 b5 = h, where b1 = 70% of the sequences sampled in    the data set.  <\/p>\n<p>    In order to avoid potential biases due to either sequencing or    assembly errors, for all phylogenetic and molecular evolution    analyses, we chose to focus on only a subset of the identified    genes. Specifically, we restricted our downstream analyses on    data sets, which after filtering out of ambiguous sites showed    no missing data in any of the sampled bats. The exception to    this rule was P. vampyrus, which, because of its    comparatively lower genome coverage, was missing in around 2%    of CDS alignments. All final CDS alignments used in our    analyses were characterized by a minimum length of    450bp (or 150    codons\/amino acids) and included a minimum of six bat species,    the dolphin Tursiops truncatus and the additional    following mammals as outgroups: Canis familiaris,    Equus caballus, Bos taurus, Mus musculus    and Homo sapiens. Of the 2,326 loci examined, 642 were    also included in the analysis of ref. 20.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the original:<br \/>\n<a target=\"_blank\" href=\"http:\/\/dx.doi.org\/10.1038\/nature12511\" title=\"Genome-wide signatures of convergent evolution in echolocating mammals\">Genome-wide signatures of convergent evolution in echolocating mammals<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Taxonomic coverage We collected new genome-wide sequence data from four bat species, selected from the two suborders and encompassing the paraphyly of echolocating bat lineages (see ref.  <a href=\"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/transhuman-news-blog\/genome\/genome-wide-signatures-of-convergent-evolution-in-echolocating-mammals\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[],"class_list":["post-16475","post","type-post","status-publish","format-standard","hentry","category-genome"],"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/16475"}],"collection":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/comments?post=16475"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/16475\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/media?parent=16475"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/categories?post=16475"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/tags?post=16475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}