The genetic architecture of photosynthesis and plant growth-related traits in tomato

Detalhes bibliográficos
Autor(a) principal: Silva, Franklin Magnum de Oliveira
Data de Publicação: 2018
Outros Autores: Lichtenstein, Gabriel, Alseekh, Saleh, Rosado-Souza, Laise, Conte, Mariana, Seguiyama, Vanessa Fuentes, Lira, Bruno Silvestre, Fanourakis, Dimitrios, Usadel, Björn, Bhering, Leonardo Lopes, DaMatta, Fábio M., Sulpice, Ronan, Araújo, Wagner L., Rossi, Magdalena, Setta, Nathalia de, Fernie, Alisdair R., Carrari, Fernando, Nunes‐Nesi, Adriano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1111/pce.13084
http://www.locus.ufv.br/handle/123456789/16413
Resumo: To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement.
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spelling Silva, Franklin Magnum de OliveiraLichtenstein, GabrielAlseekh, SalehRosado-Souza, LaiseConte, MarianaSeguiyama, Vanessa FuentesLira, Bruno SilvestreFanourakis, DimitriosUsadel, BjörnBhering, Leonardo LopesDaMatta, Fábio M.Sulpice, RonanAraújo, Wagner L.Rossi, MagdalenaSetta, Nathalia deFernie, Alisdair R.Carrari, FernandoNunes‐Nesi, Adriano2018-01-17T13:12:59Z2018-01-17T13:12:59Z2018-01-121365-3040http://dx.doi.org/10.1111/pce.13084http://www.locus.ufv.br/handle/123456789/16413To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement.engPlant, Cell & Environment41(2), p. 327-341, February 2018Introgression linesPrimary metabolismQuantitative trait lociThe genetic architecture of photosynthesis and plant growth-related traits in tomatoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdftexto completoapplication/pdf1131146https://locus.ufv.br//bitstream/123456789/16413/1/artigo.pdf377d249acc5a96327f9f9396f0a34bdcMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/16413/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILartigo.pdf.jpgartigo.pdf.jpgIM Thumbnailimage/jpeg4929https://locus.ufv.br//bitstream/123456789/16413/3/artigo.pdf.jpg47c9628812b20b47fad50d881dd0783dMD53123456789/164132018-01-17 22:00:29.217oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-01-18T01:00:29LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv The genetic architecture of photosynthesis and plant growth-related traits in tomato
title The genetic architecture of photosynthesis and plant growth-related traits in tomato
spellingShingle The genetic architecture of photosynthesis and plant growth-related traits in tomato
Silva, Franklin Magnum de Oliveira
Introgression lines
Primary metabolism
Quantitative trait loci
title_short The genetic architecture of photosynthesis and plant growth-related traits in tomato
title_full The genetic architecture of photosynthesis and plant growth-related traits in tomato
title_fullStr The genetic architecture of photosynthesis and plant growth-related traits in tomato
title_full_unstemmed The genetic architecture of photosynthesis and plant growth-related traits in tomato
title_sort The genetic architecture of photosynthesis and plant growth-related traits in tomato
author Silva, Franklin Magnum de Oliveira
author_facet Silva, Franklin Magnum de Oliveira
Lichtenstein, Gabriel
Alseekh, Saleh
Rosado-Souza, Laise
Conte, Mariana
Seguiyama, Vanessa Fuentes
Lira, Bruno Silvestre
Fanourakis, Dimitrios
Usadel, Björn
Bhering, Leonardo Lopes
DaMatta, Fábio M.
Sulpice, Ronan
Araújo, Wagner L.
Rossi, Magdalena
Setta, Nathalia de
Fernie, Alisdair R.
Carrari, Fernando
Nunes‐Nesi, Adriano
author_role author
author2 Lichtenstein, Gabriel
Alseekh, Saleh
Rosado-Souza, Laise
Conte, Mariana
Seguiyama, Vanessa Fuentes
Lira, Bruno Silvestre
Fanourakis, Dimitrios
Usadel, Björn
Bhering, Leonardo Lopes
DaMatta, Fábio M.
Sulpice, Ronan
Araújo, Wagner L.
Rossi, Magdalena
Setta, Nathalia de
Fernie, Alisdair R.
Carrari, Fernando
Nunes‐Nesi, Adriano
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Franklin Magnum de Oliveira
Lichtenstein, Gabriel
Alseekh, Saleh
Rosado-Souza, Laise
Conte, Mariana
Seguiyama, Vanessa Fuentes
Lira, Bruno Silvestre
Fanourakis, Dimitrios
Usadel, Björn
Bhering, Leonardo Lopes
DaMatta, Fábio M.
Sulpice, Ronan
Araújo, Wagner L.
Rossi, Magdalena
Setta, Nathalia de
Fernie, Alisdair R.
Carrari, Fernando
Nunes‐Nesi, Adriano
dc.subject.pt-BR.fl_str_mv Introgression lines
Primary metabolism
Quantitative trait loci
topic Introgression lines
Primary metabolism
Quantitative trait loci
description To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement.
publishDate 2018
dc.date.accessioned.fl_str_mv 2018-01-17T13:12:59Z
dc.date.available.fl_str_mv 2018-01-17T13:12:59Z
dc.date.issued.fl_str_mv 2018-01-12
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1111/pce.13084
http://www.locus.ufv.br/handle/123456789/16413
dc.identifier.issn.none.fl_str_mv 1365-3040
identifier_str_mv 1365-3040
url http://dx.doi.org/10.1111/pce.13084
http://www.locus.ufv.br/handle/123456789/16413
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.pt-BR.fl_str_mv 41(2), p. 327-341, February 2018
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Plant, Cell & Environment
publisher.none.fl_str_mv Plant, Cell & Environment
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