A strategy to recover a high-quality, complete plastid sequence from low-coverage whole-genome sequencing.

GARAYCOCHEA, S. - SPERANZA, P. - ALVAREZ-VALIN, F.

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).


Detalles Bibliográficos
2015
BIOINFORMÁTICA
Bioinformatic methods
Chloroplast genome
Next-generation
Sequencing
Weedy rice
BIOLOGÍA
CIENCIA DE INFORMACIÓN
ARROZ
ORYZA SATIVA
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
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repository.name.fl_str_mv AINFO - Instituto Nacional de Investigación Agropecuaria
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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