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Unraveling candidate genomic regions responsible for delayed leaf senescence in rice
Photosynthates generated after heading contributes to 60% - 80% of grain yield in rice. Delay in leaf senescence can contribute to a long grain-filling period and thereby increased yield. The objective of this study was to identify genomic region(s) responsible for delayed leaf senescence (DLS) and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561107/ https://www.ncbi.nlm.nih.gov/pubmed/33057376 http://dx.doi.org/10.1371/journal.pone.0240591 |
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author | Singh, Uma Maheshwar Sinha, Pallavi Dixit, Shilpi Abbai, Ragavendran Venkateshwarlu, Challa Chitikineni, Annapurna Singh, Vikas Kumar Varshney, Rajeev K. Kumar, Arvind |
author_facet | Singh, Uma Maheshwar Sinha, Pallavi Dixit, Shilpi Abbai, Ragavendran Venkateshwarlu, Challa Chitikineni, Annapurna Singh, Vikas Kumar Varshney, Rajeev K. Kumar, Arvind |
author_sort | Singh, Uma Maheshwar |
collection | PubMed |
description | Photosynthates generated after heading contributes to 60% - 80% of grain yield in rice. Delay in leaf senescence can contribute to a long grain-filling period and thereby increased yield. The objective of this study was to identify genomic region(s) responsible for delayed leaf senescence (DLS) and validate the role of underlying candidate genes in controlling target traits. 302 BC(2)F(4) backcross-derived lines (BILs) developed from a cross between Swarna and Moroberekan were phenotyped for two seasons (DS2016 and WS2017) for chlorophyll content and yield parameters. KASPar-SNP assays based genotyping data with 193 SNPs of mapping population was used to identify the targeted genomic region(s). Significant positive correlation was observed between the two most important determinants of DLS traits viz., RDCF (reduced decline degree of chlorophyll content of flag leaf) and RDCS (reduced decline degree of chlorophyll content of second leaf) with plant height (PH), grain number per panicle (GPN), panicle length (PL), number of tiller (NT) and grain yield (GY). A total of 41 and 29 QTLs with phenotypic variance (PVE) ranging from 8.2 to 25.1% were detected for six DLS traits during DS2016 and WS2017, respectively. Out of these identified QTLs, 19 were considered as stable QTLs detected across seasons. 17 of the identified stable QTLs were found to be novel. In-silico analysis revealed five key genes regulating chlorophyll metabolism. Expression analysis of these genes confirmed their strong association with the senescence pattern in leaf tissue of parents as well as selected phenotypically extreme lines. The identified stable QTLs regulating DLS traits and validation of potential candidate genes provides insight into genetic basis of delayed senescence and is expected to contribute in enhancing grain yield through genomics-assisted breeding (GAB). |
format | Online Article Text |
id | pubmed-7561107 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75611072020-10-21 Unraveling candidate genomic regions responsible for delayed leaf senescence in rice Singh, Uma Maheshwar Sinha, Pallavi Dixit, Shilpi Abbai, Ragavendran Venkateshwarlu, Challa Chitikineni, Annapurna Singh, Vikas Kumar Varshney, Rajeev K. Kumar, Arvind PLoS One Research Article Photosynthates generated after heading contributes to 60% - 80% of grain yield in rice. Delay in leaf senescence can contribute to a long grain-filling period and thereby increased yield. The objective of this study was to identify genomic region(s) responsible for delayed leaf senescence (DLS) and validate the role of underlying candidate genes in controlling target traits. 302 BC(2)F(4) backcross-derived lines (BILs) developed from a cross between Swarna and Moroberekan were phenotyped for two seasons (DS2016 and WS2017) for chlorophyll content and yield parameters. KASPar-SNP assays based genotyping data with 193 SNPs of mapping population was used to identify the targeted genomic region(s). Significant positive correlation was observed between the two most important determinants of DLS traits viz., RDCF (reduced decline degree of chlorophyll content of flag leaf) and RDCS (reduced decline degree of chlorophyll content of second leaf) with plant height (PH), grain number per panicle (GPN), panicle length (PL), number of tiller (NT) and grain yield (GY). A total of 41 and 29 QTLs with phenotypic variance (PVE) ranging from 8.2 to 25.1% were detected for six DLS traits during DS2016 and WS2017, respectively. Out of these identified QTLs, 19 were considered as stable QTLs detected across seasons. 17 of the identified stable QTLs were found to be novel. In-silico analysis revealed five key genes regulating chlorophyll metabolism. Expression analysis of these genes confirmed their strong association with the senescence pattern in leaf tissue of parents as well as selected phenotypically extreme lines. The identified stable QTLs regulating DLS traits and validation of potential candidate genes provides insight into genetic basis of delayed senescence and is expected to contribute in enhancing grain yield through genomics-assisted breeding (GAB). Public Library of Science 2020-10-15 /pmc/articles/PMC7561107/ /pubmed/33057376 http://dx.doi.org/10.1371/journal.pone.0240591 Text en © 2020 Singh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Singh, Uma Maheshwar Sinha, Pallavi Dixit, Shilpi Abbai, Ragavendran Venkateshwarlu, Challa Chitikineni, Annapurna Singh, Vikas Kumar Varshney, Rajeev K. Kumar, Arvind Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title | Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title_full | Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title_fullStr | Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title_full_unstemmed | Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title_short | Unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
title_sort | unraveling candidate genomic regions responsible for delayed leaf senescence in rice |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561107/ https://www.ncbi.nlm.nih.gov/pubmed/33057376 http://dx.doi.org/10.1371/journal.pone.0240591 |
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