Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

Abstract To improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competiti...

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Autores principales:	Muralidhara Bharamappanavara, Anantha M. Siddaiah, Senguttuvel Ponnuvel, Lokesha Ramappa, Basavaraj Patil, Manoj Appaiah, Sheshu Madhav Maganti, Raman Meenakshi Sundaram, Shashidhar Kadadanamari Shankarappa, Mangal Deep Tuti, Sreedevi Banugu, Brajendra Parmar, Santosha Rathod, Kalyani M. Barbadikar, Suneetha Kota, Lella Venkata Subbarao, Tapan Kumar Mondal, Gireesh Channappa
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/633e1d6704a648fbb6d1460030c1b371
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spelling	oai:doaj.org-article:633e1d6704a648fbb6d1460030c1b3712021-12-02T11:57:58ZMapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.10.1038/s41598-020-78675-72045-2322https://doaj.org/article/633e1d6704a648fbb6d1460030c1b3712020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78675-7https://doaj.org/toc/2045-2322Abstract To improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competitive varieties. In the present investigation, the QTLs associated with weed competitive traits were identified in BC1F2:3 population derived from weed competitive accession of O. glaberrima (IRGC105187) and O. sativa cultivar IR64. The mapping population consisting of 144 segregating lines were phenotyped for 33 weed competitive associated traits under direct seeded condition. Genetic analysis of weed competitive traits carried out in BC1F2:3 population showed significant variation for the weed competitive traits and predominance of additive gene action. The population was genotyped with 81 genome wide SSR markers and a linkage map covering 1423 cM was constructed. Composite interval mapping analysis identified 72 QTLs linked to 33 weed competitive traits which were spread on the 11 chromosomes. Among 72 QTLs, 59 were found to be major QTLs (> 10% PVE). Of the 59 major QTLs, 38 had favourable allele contributed from the O. glaberrima parent. We also observed nine QTL hotspots for weed competitive traits (qWCA2a, qWCA2b, qWCA2c, qWCA3, qWCA5, qWCA7, qWCA8, qWCA9, and qWCA10) wherein several QTLs co-localised. Our study demonstrates O. glaberrima species as potential source for improvement for weed competitive traits in rice and identified QTLs hotspots associated with weed competitive traits.Muralidhara BharamappanavaraAnantha M. SiddaiahSenguttuvel PonnuvelLokesha RamappaBasavaraj PatilManoj AppaiahSheshu Madhav MagantiRaman Meenakshi SundaramShashidhar Kadadanamari ShankarappaMangal Deep TutiSreedevi BanuguBrajendra ParmarSantosha RathodKalyani M. BarbadikarSuneetha KotaLella Venkata SubbaraoTapan Kumar MondalGireesh ChannappaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Muralidhara Bharamappanavara Anantha M. Siddaiah Senguttuvel Ponnuvel Lokesha Ramappa Basavaraj Patil Manoj Appaiah Sheshu Madhav Maganti Raman Meenakshi Sundaram Shashidhar Kadadanamari Shankarappa Mangal Deep Tuti Sreedevi Banugu Brajendra Parmar Santosha Rathod Kalyani M. Barbadikar Suneetha Kota Lella Venkata Subbarao Tapan Kumar Mondal Gireesh Channappa Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
description	Abstract To improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competitive varieties. In the present investigation, the QTLs associated with weed competitive traits were identified in BC1F2:3 population derived from weed competitive accession of O. glaberrima (IRGC105187) and O. sativa cultivar IR64. The mapping population consisting of 144 segregating lines were phenotyped for 33 weed competitive associated traits under direct seeded condition. Genetic analysis of weed competitive traits carried out in BC1F2:3 population showed significant variation for the weed competitive traits and predominance of additive gene action. The population was genotyped with 81 genome wide SSR markers and a linkage map covering 1423 cM was constructed. Composite interval mapping analysis identified 72 QTLs linked to 33 weed competitive traits which were spread on the 11 chromosomes. Among 72 QTLs, 59 were found to be major QTLs (> 10% PVE). Of the 59 major QTLs, 38 had favourable allele contributed from the O. glaberrima parent. We also observed nine QTL hotspots for weed competitive traits (qWCA2a, qWCA2b, qWCA2c, qWCA3, qWCA5, qWCA7, qWCA8, qWCA9, and qWCA10) wherein several QTLs co-localised. Our study demonstrates O. glaberrima species as potential source for improvement for weed competitive traits in rice and identified QTLs hotspots associated with weed competitive traits.
format	article
author	Muralidhara Bharamappanavara Anantha M. Siddaiah Senguttuvel Ponnuvel Lokesha Ramappa Basavaraj Patil Manoj Appaiah Sheshu Madhav Maganti Raman Meenakshi Sundaram Shashidhar Kadadanamari Shankarappa Mangal Deep Tuti Sreedevi Banugu Brajendra Parmar Santosha Rathod Kalyani M. Barbadikar Suneetha Kota Lella Venkata Subbarao Tapan Kumar Mondal Gireesh Channappa
author_facet	Muralidhara Bharamappanavara Anantha M. Siddaiah Senguttuvel Ponnuvel Lokesha Ramappa Basavaraj Patil Manoj Appaiah Sheshu Madhav Maganti Raman Meenakshi Sundaram Shashidhar Kadadanamari Shankarappa Mangal Deep Tuti Sreedevi Banugu Brajendra Parmar Santosha Rathod Kalyani M. Barbadikar Suneetha Kota Lella Venkata Subbarao Tapan Kumar Mondal Gireesh Channappa
author_sort	Muralidhara Bharamappanavara
title	Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
title_short	Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
title_full	Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
title_fullStr	Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
title_full_unstemmed	Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.
title_sort	mapping qtl hotspots associated with weed competitive traits in backcross population derived from oryza sativa l. and o. glaberrima steud.
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/633e1d6704a648fbb6d1460030c1b371
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Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

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