The genetic architecture of photosynthesis and plant growth-related traits in tomato
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Plant, Cell & Environment |
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Plant, Cell & Environment |
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