Using phylogenomic patterns and gene ontology to identify proteins of importance in plant evolution
We use measures of congruence on a combined expressed sequenced tag genome phylogeny to identify proteins that have potential significance in the evolution of seed plants. Relevant proteins are identified based on the direction of partitioned branch and hidden support on the hypothesis obtained on a...
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Veröffentlicht in: | Genome biology and evolution 2010-01, Vol.2, p.225-239 |
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creator | Cibrián-Jaramillo, Angélica De la Torre-Bárcena, Jose E Lee, Ernest K Katari, Manpreet S Little, Damon P Stevenson, Dennis W Martienssen, Rob Coruzzi, Gloria M DeSalle, Rob |
description | We use measures of congruence on a combined expressed sequenced tag genome phylogeny to identify proteins that have potential significance in the evolution of seed plants. Relevant proteins are identified based on the direction of partitioned branch and hidden support on the hypothesis obtained on a 16-species tree, constructed from 2,557 concatenated orthologous genes. We provide a general method for detecting genes or groups of genes that may be under selection in directions that are in agreement with the phylogenetic pattern. Gene partitioning methods and estimates of the degree and direction of support of individual gene partitions to the overall data set are used. Using this approach, we correlate positive branch support of specific genes for key branches in the seed plant phylogeny. In addition to basic metabolic functions, such as photosynthesis or hormones, genes involved in posttranscriptional regulation by small RNAs were significantly overrepresented in key nodes of the phylogeny of seed plants. Two genes in our matrix are of critical importance as they are involved in RNA-dependent regulation, essential during embryo and leaf development. These are Argonaute and the RNA-dependent RNA polymerase 6 found to be overrepresented in the angiosperm clade. We use these genes as examples of our phylogenomics approach and show that identifying partitions or genes in this way provides a platform to explain some of the more interesting organismal differences among species, and in particular, in the evolution of plants. |
doi_str_mv | 10.1093/gbe/evq012 |
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Relevant proteins are identified based on the direction of partitioned branch and hidden support on the hypothesis obtained on a 16-species tree, constructed from 2,557 concatenated orthologous genes. We provide a general method for detecting genes or groups of genes that may be under selection in directions that are in agreement with the phylogenetic pattern. Gene partitioning methods and estimates of the degree and direction of support of individual gene partitions to the overall data set are used. Using this approach, we correlate positive branch support of specific genes for key branches in the seed plant phylogeny. In addition to basic metabolic functions, such as photosynthesis or hormones, genes involved in posttranscriptional regulation by small RNAs were significantly overrepresented in key nodes of the phylogeny of seed plants. Two genes in our matrix are of critical importance as they are involved in RNA-dependent regulation, essential during embryo and leaf development. These are Argonaute and the RNA-dependent RNA polymerase 6 found to be overrepresented in the angiosperm clade. We use these genes as examples of our phylogenomics approach and show that identifying partitions or genes in this way provides a platform to explain some of the more interesting organismal differences among species, and in particular, in the evolution of plants.</description><identifier>ISSN: 1759-6653</identifier><identifier>EISSN: 1759-6653</identifier><identifier>DOI: 10.1093/gbe/evq012</identifier><identifier>PMID: 20624728</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Amino Acid Sequence ; Amino Acid Substitution ; Data Mining ; Epigenesis, Genetic ; Evolution, Molecular ; Genes, Plant ; Genomics ; Magnoliopsida - classification ; Magnoliopsida - genetics ; Magnoliopsida - metabolism ; Models, Genetic ; Molecular Sequence Data ; Mutation ; Phylogeny ; Plant Proteins - genetics ; Plants - classification ; Plants - genetics ; Plants - metabolism ; RNA, Plant - genetics ; RNA-Dependent RNA Polymerase - genetics ; Selection, Genetic ; Sequence Homology, Amino Acid</subject><ispartof>Genome biology and evolution, 2010-01, Vol.2, p.225-239</ispartof><rights>The Author(s) 2010. Published by Oxford University Press on behalf of the . 2010</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-fc69946f4de7b77a881c660a7a408209e26df7a58d98ad89810ecd86379c8333</citedby><cites>FETCH-LOGICAL-c377t-fc69946f4de7b77a881c660a7a408209e26df7a58d98ad89810ecd86379c8333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997538/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997538/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20624728$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cibrián-Jaramillo, Angélica</creatorcontrib><creatorcontrib>De la Torre-Bárcena, Jose E</creatorcontrib><creatorcontrib>Lee, Ernest K</creatorcontrib><creatorcontrib>Katari, Manpreet S</creatorcontrib><creatorcontrib>Little, Damon P</creatorcontrib><creatorcontrib>Stevenson, Dennis W</creatorcontrib><creatorcontrib>Martienssen, Rob</creatorcontrib><creatorcontrib>Coruzzi, Gloria M</creatorcontrib><creatorcontrib>DeSalle, Rob</creatorcontrib><title>Using phylogenomic patterns and gene ontology to identify proteins of importance in plant evolution</title><title>Genome biology and evolution</title><addtitle>Genome Biol Evol</addtitle><description>We use measures of congruence on a combined expressed sequenced tag genome phylogeny to identify proteins that have potential significance in the evolution of seed plants. Relevant proteins are identified based on the direction of partitioned branch and hidden support on the hypothesis obtained on a 16-species tree, constructed from 2,557 concatenated orthologous genes. We provide a general method for detecting genes or groups of genes that may be under selection in directions that are in agreement with the phylogenetic pattern. Gene partitioning methods and estimates of the degree and direction of support of individual gene partitions to the overall data set are used. Using this approach, we correlate positive branch support of specific genes for key branches in the seed plant phylogeny. In addition to basic metabolic functions, such as photosynthesis or hormones, genes involved in posttranscriptional regulation by small RNAs were significantly overrepresented in key nodes of the phylogeny of seed plants. Two genes in our matrix are of critical importance as they are involved in RNA-dependent regulation, essential during embryo and leaf development. These are Argonaute and the RNA-dependent RNA polymerase 6 found to be overrepresented in the angiosperm clade. We use these genes as examples of our phylogenomics approach and show that identifying partitions or genes in this way provides a platform to explain some of the more interesting organismal differences among species, and in particular, in the evolution of plants.</description><subject>Amino Acid Sequence</subject><subject>Amino Acid Substitution</subject><subject>Data Mining</subject><subject>Epigenesis, Genetic</subject><subject>Evolution, Molecular</subject><subject>Genes, Plant</subject><subject>Genomics</subject><subject>Magnoliopsida - classification</subject><subject>Magnoliopsida - genetics</subject><subject>Magnoliopsida - metabolism</subject><subject>Models, Genetic</subject><subject>Molecular Sequence Data</subject><subject>Mutation</subject><subject>Phylogeny</subject><subject>Plant Proteins - genetics</subject><subject>Plants - classification</subject><subject>Plants - genetics</subject><subject>Plants - metabolism</subject><subject>RNA, Plant - genetics</subject><subject>RNA-Dependent RNA Polymerase - genetics</subject><subject>Selection, Genetic</subject><subject>Sequence Homology, Amino Acid</subject><issn>1759-6653</issn><issn>1759-6653</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkE1LAzEQhoMotlYv_gDJWVib3ezm4yJI8QsKXuo5pMnsNrJN1mxa2H_vSrXoaYZ533lneBC6zsldTiSdN2uYw_6T5MUJmua8khljFT3900_QRd9_EMJYyeg5mhSEFSUvxBSZ9975BneboQ0N-LB1Bnc6JYi-x9pbPA4BB5_CqA84Bews-OTqAXcxJHCjLdTYbbsQk_YGsPO4a7VPGPah3SUX_CU6q3Xbw9VPnaHV0-Nq8ZIt355fFw_LzFDOU1YbJmXJ6tICX3OuhcgNY0RzXRJREAkFszXXlbBSaCukyAkYKxjl0ghK6QzdH2K73XoL1oxvRt2qLrqtjoMK2qn_incb1YS9KqTkFRVjwO0hwMTQ9xHq425O1DdpNZJWB9Kj-ebvtaP1Fy39ArC7flw</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Cibrián-Jaramillo, Angélica</creator><creator>De la Torre-Bárcena, Jose E</creator><creator>Lee, Ernest K</creator><creator>Katari, Manpreet S</creator><creator>Little, Damon P</creator><creator>Stevenson, Dennis W</creator><creator>Martienssen, Rob</creator><creator>Coruzzi, Gloria M</creator><creator>DeSalle, Rob</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>20100101</creationdate><title>Using phylogenomic patterns and gene ontology to identify proteins of importance in plant evolution</title><author>Cibrián-Jaramillo, Angélica ; 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subjects | Amino Acid Sequence Amino Acid Substitution Data Mining Epigenesis, Genetic Evolution, Molecular Genes, Plant Genomics Magnoliopsida - classification Magnoliopsida - genetics Magnoliopsida - metabolism Models, Genetic Molecular Sequence Data Mutation Phylogeny Plant Proteins - genetics Plants - classification Plants - genetics Plants - metabolism RNA, Plant - genetics RNA-Dependent RNA Polymerase - genetics Selection, Genetic Sequence Homology, Amino Acid |
title | Using phylogenomic patterns and gene ontology to identify proteins of importance in plant evolution |
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