A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing.
Resumen:
ABSTRACT.Premise of the study: We developed a bioinformatic strategy to recover and assemble a chloroplast genome using data derived from low-coverage 454 GS FLX/Roche whole-genome sequencing. Methods: A comparative genomics approach was applied to obtain the complete chloroplast genome from a weedy biotype of rice from Uruguay. We also applied appropriate filters to discriminate reads representing novel DNA transfer events between the chloroplast and nuclear genomes. Results: From a set of 295,159 reads (96 Mb data), we assembled the chloroplast genome into two contigs. This weedy rice was classified based on 23 polymorphic regions identified by comparison with reference chloroplast genomes. We detected recent and past events of genetic material transfer between the chloroplast and nuclear genomes and estimated their occurrence frequency. Discussion: We obtained a high-quality complete chloroplast genome sequence from low-coverage sequencing data. Intergenome DNA transfer appears to be more frequent than previously thought. © 2015 Garaycochea et al. Published by the Botanical Society of America. This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA).
2015 | |
BIOINFORMÁTICA Bioinformatic methods Chloroplast genome Next-generation Sequencing Weedy rice BIOLOGÍA CIENCIA DE INFORMACIÓN ARROZ ORYZA SATIVA |
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Inglés | |
Instituto Nacional de Investigación Agropecuaria | |
AINFO | |
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=53875&biblioteca=vazio&busca=53875&qFacets=53875 | |
Acceso abierto |
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---|---|
author | GARAYCOCHEA, S. |
author2 | SPERANZA, P. ALVAREZ-VALIN, F. |
author2_role | author author |
author_facet | GARAYCOCHEA, S. SPERANZA, P. ALVAREZ-VALIN, F. |
author_role | author |
bitstream.checksum.fl_str_mv | cff86c064f9e255080fa604cec57d10f |
bitstream.checksumAlgorithm.fl_str_mv | MD5 |
bitstream.url.fl_str_mv | https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2459/1/sword-2022-12-16T17%3a41%3a49.original.xml |
collection | AINFO |
dc.creator.none.fl_str_mv | GARAYCOCHEA, S. SPERANZA, P. ALVAREZ-VALIN, F. |
dc.date.accessioned.none.fl_str_mv | 2022-12-16T20:41:49Z |
dc.date.available.none.fl_str_mv | 2022-12-16T20:41:49Z |
dc.date.issued.none.fl_str_mv | 2015 |
dc.date.updated.none.fl_str_mv | 2022-12-16T20:41:49Z |
dc.description.abstract.none.fl_txt_mv | ABSTRACT.Premise of the study: We developed a bioinformatic strategy to recover and assemble a chloroplast genome using data derived from low-coverage 454 GS FLX/Roche whole-genome sequencing. Methods: A comparative genomics approach was applied to obtain the complete chloroplast genome from a weedy biotype of rice from Uruguay. We also applied appropriate filters to discriminate reads representing novel DNA transfer events between the chloroplast and nuclear genomes. Results: From a set of 295,159 reads (96 Mb data), we assembled the chloroplast genome into two contigs. This weedy rice was classified based on 23 polymorphic regions identified by comparison with reference chloroplast genomes. We detected recent and past events of genetic material transfer between the chloroplast and nuclear genomes and estimated their occurrence frequency. Discussion: We obtained a high-quality complete chloroplast genome sequence from low-coverage sequencing data. Intergenome DNA transfer appears to be more frequent than previously thought. © 2015 Garaycochea et al. Published by the Botanical Society of America. This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
dc.identifier.none.fl_str_mv | http://www.ainfo.inia.uy/consulta/busca?b=pc&id=53875&biblioteca=vazio&busca=53875&qFacets=53875 |
dc.language.iso.none.fl_str_mv | en eng |
dc.rights.es.fl_str_mv | Acceso abierto |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:AINFO instname:Instituto Nacional de Investigación Agropecuaria instacron:Instituto Nacional de Investigación Agropecuaria |
dc.subject.none.fl_str_mv | BIOINFORMÁTICA Bioinformatic methods Chloroplast genome Next-generation Sequencing Weedy rice BIOLOGÍA CIENCIA DE INFORMACIÓN ARROZ ORYZA SATIVA |
dc.title.none.fl_str_mv | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
dc.type.none.fl_str_mv | Article PublishedVersion info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | ABSTRACT.Premise of the study: We developed a bioinformatic strategy to recover and assemble a chloroplast genome using data derived from low-coverage 454 GS FLX/Roche whole-genome sequencing. Methods: A comparative genomics approach was applied to obtain the complete chloroplast genome from a weedy biotype of rice from Uruguay. We also applied appropriate filters to discriminate reads representing novel DNA transfer events between the chloroplast and nuclear genomes. Results: From a set of 295,159 reads (96 Mb data), we assembled the chloroplast genome into two contigs. This weedy rice was classified based on 23 polymorphic regions identified by comparison with reference chloroplast genomes. We detected recent and past events of genetic material transfer between the chloroplast and nuclear genomes and estimated their occurrence frequency. Discussion: We obtained a high-quality complete chloroplast genome sequence from low-coverage sequencing data. Intergenome DNA transfer appears to be more frequent than previously thought. © 2015 Garaycochea et al. Published by the Botanical Society of America. This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA). |
eu_rights_str_mv | openAccess |
format | article |
id | INIAOAI_8a32b48a36778646c1b42e7a4b76dedf |
instacron_str | Instituto Nacional de Investigación Agropecuaria |
institution | Instituto Nacional de Investigación Agropecuaria |
instname_str | Instituto Nacional de Investigación Agropecuaria |
language | eng |
language_invalid_str_mv | en |
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oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/2459 |
publishDate | 2015 |
reponame_str | AINFO |
repository.mail.fl_str_mv | lorrego@inia.org.uy |
repository.name.fl_str_mv | AINFO - Instituto Nacional de Investigación Agropecuaria |
repository_id_str | |
rights_invalid_str_mv | Acceso abierto |
spelling | 2022-12-16T20:41:49Z2022-12-16T20:41:49Z20152022-12-16T20:41:49Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=53875&biblioteca=vazio&busca=53875&qFacets=53875ABSTRACT.Premise of the study: We developed a bioinformatic strategy to recover and assemble a chloroplast genome using data derived from low-coverage 454 GS FLX/Roche whole-genome sequencing. Methods: A comparative genomics approach was applied to obtain the complete chloroplast genome from a weedy biotype of rice from Uruguay. We also applied appropriate filters to discriminate reads representing novel DNA transfer events between the chloroplast and nuclear genomes. Results: From a set of 295,159 reads (96 Mb data), we assembled the chloroplast genome into two contigs. This weedy rice was classified based on 23 polymorphic regions identified by comparison with reference chloroplast genomes. We detected recent and past events of genetic material transfer between the chloroplast and nuclear genomes and estimated their occurrence frequency. Discussion: We obtained a high-quality complete chloroplast genome sequence from low-coverage sequencing data. Intergenome DNA transfer appears to be more frequent than previously thought. © 2015 Garaycochea et al. Published by the Botanical Society of America. This work is licensed under a Creative Commons Attribution License (CC-BY-NC-SA).https://hdl.handle.net/20.500.12381/2459enenginfo:eu-repo/semantics/openAccessAcceso abiertoBIOINFORMÁTICABioinformatic methodsChloroplast genomeNext-generationSequencingWeedy riceBIOLOGÍACIENCIA DE INFORMACIÓNARROZORYZA SATIVAA strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing.ArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaGARAYCOCHEA, S.SPERANZA, P.ALVAREZ-VALIN, F.SWORDsword-2022-12-16T17:41:49.original.xmlOriginal SWORD entry documentapplication/octet-stream2539https://redi.anii.org.uy/jspui/bitstream/20.500.12381/2459/1/sword-2022-12-16T17%3a41%3a49.original.xmlcff86c064f9e255080fa604cec57d10fMD5120.500.12381/24592022-12-16 17:41:49.862oai:redi.anii.org.uy:20.500.12381/2459Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-12-16T20:41:49AINFO - Instituto Nacional de Investigación Agropecuariafalse |
spellingShingle | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. GARAYCOCHEA, S. BIOINFORMÁTICA Bioinformatic methods Chloroplast genome Next-generation Sequencing Weedy rice BIOLOGÍA CIENCIA DE INFORMACIÓN ARROZ ORYZA SATIVA |
status_str | publishedVersion |
title | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
title_full | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
title_fullStr | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
title_full_unstemmed | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
title_short | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
title_sort | A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing. |
topic | BIOINFORMÁTICA Bioinformatic methods Chloroplast genome Next-generation Sequencing Weedy rice BIOLOGÍA CIENCIA DE INFORMACIÓN ARROZ ORYZA SATIVA |
url | http://www.ainfo.inia.uy/consulta/busca?b=pc&id=53875&biblioteca=vazio&busca=53875&qFacets=53875 |