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Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent

Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment. Unraveling the genetic mechanism involved in PH, and developing soybean cultivars with desi...

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Autores principales: Cao, Yongce, Li, Shuguang, Chen, Guoliang, Wang, Yanfeng, Bhat, Javaid Akhter, Karikari, Benjamin, Kong, Jiejie, Gai, Junyi, Zhao, Tuanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843848/
https://www.ncbi.nlm.nih.gov/pubmed/31561497
http://dx.doi.org/10.3390/plants8100373
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author Cao, Yongce
Li, Shuguang
Chen, Guoliang
Wang, Yanfeng
Bhat, Javaid Akhter
Karikari, Benjamin
Kong, Jiejie
Gai, Junyi
Zhao, Tuanjie
author_facet Cao, Yongce
Li, Shuguang
Chen, Guoliang
Wang, Yanfeng
Bhat, Javaid Akhter
Karikari, Benjamin
Kong, Jiejie
Gai, Junyi
Zhao, Tuanjie
author_sort Cao, Yongce
collection PubMed
description Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment. Unraveling the genetic mechanism involved in PH, and developing soybean cultivars with desirable PH is an imperative goal for soybean breeding. In this regard, the present study used high-density linkage maps of two related recombinant inbred line (RIL) populations viz., MT and ZM evaluated in three different environments to detect additive and epistatic effect quantitative trait loci (QTLs) as well as their interaction with environments for PH in Chinese summer planting soybean. A total of eight and 12 QTLs were detected by combining the composite interval mapping (CIM) and mixed-model based composite interval mapping (MCIM) methods in MT and ZM populations, respectively. Among these QTLs, nine QTLs viz., QPH-2, qPH-6-2(MT), QPH-6, qPH-9-1(ZM), qPH-10-1(ZM), qPH-13-1(ZM), qPH-16-1(MT), QPH-17 and QPH-19 were consistently identified in multiple environments or populations, hence were regarded as stable QTLs. Furthermore, Out of these QTLs, three QTLs viz., qPH-4-2(ZM), qPH-15-1(MT) and QPH-17 were novel. In particular, QPH-17 could detect in both populations, which was also considered as a stable and major QTL in Chinese summer planting soybean. Moreover, eleven QTLs revealed significant additive effects in both populations, and out of them only six showed additive by environment interaction effects, and the environment-independent QTLs showed higher additive effects. Finally, six digenic epistatic QTLs pairs were identified and only four additive effect QTLs viz., qPH-6-2(MT), qPH-19-1(MT)/QPH-19, qPH-5-1(ZM) and qPH-17-1(ZM) showed epistatic effects. These results indicate that environment and epistatic interaction effects have significant influence in determining genetic basis of PH in soybean. These results would not only increase our understanding of the genetic control of plant height in summer planting soybean but also provide support for implementing marker assisted selection (MAS) in developing cultivars with ideal plant height as well as gene cloning to elucidate the mechanisms of plant height.
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spelling pubmed-68438482019-11-25 Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent Cao, Yongce Li, Shuguang Chen, Guoliang Wang, Yanfeng Bhat, Javaid Akhter Karikari, Benjamin Kong, Jiejie Gai, Junyi Zhao, Tuanjie Plants (Basel) Article Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment. Unraveling the genetic mechanism involved in PH, and developing soybean cultivars with desirable PH is an imperative goal for soybean breeding. In this regard, the present study used high-density linkage maps of two related recombinant inbred line (RIL) populations viz., MT and ZM evaluated in three different environments to detect additive and epistatic effect quantitative trait loci (QTLs) as well as their interaction with environments for PH in Chinese summer planting soybean. A total of eight and 12 QTLs were detected by combining the composite interval mapping (CIM) and mixed-model based composite interval mapping (MCIM) methods in MT and ZM populations, respectively. Among these QTLs, nine QTLs viz., QPH-2, qPH-6-2(MT), QPH-6, qPH-9-1(ZM), qPH-10-1(ZM), qPH-13-1(ZM), qPH-16-1(MT), QPH-17 and QPH-19 were consistently identified in multiple environments or populations, hence were regarded as stable QTLs. Furthermore, Out of these QTLs, three QTLs viz., qPH-4-2(ZM), qPH-15-1(MT) and QPH-17 were novel. In particular, QPH-17 could detect in both populations, which was also considered as a stable and major QTL in Chinese summer planting soybean. Moreover, eleven QTLs revealed significant additive effects in both populations, and out of them only six showed additive by environment interaction effects, and the environment-independent QTLs showed higher additive effects. Finally, six digenic epistatic QTLs pairs were identified and only four additive effect QTLs viz., qPH-6-2(MT), qPH-19-1(MT)/QPH-19, qPH-5-1(ZM) and qPH-17-1(ZM) showed epistatic effects. These results indicate that environment and epistatic interaction effects have significant influence in determining genetic basis of PH in soybean. These results would not only increase our understanding of the genetic control of plant height in summer planting soybean but also provide support for implementing marker assisted selection (MAS) in developing cultivars with ideal plant height as well as gene cloning to elucidate the mechanisms of plant height. MDPI 2019-09-26 /pmc/articles/PMC6843848/ /pubmed/31561497 http://dx.doi.org/10.3390/plants8100373 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Yongce
Li, Shuguang
Chen, Guoliang
Wang, Yanfeng
Bhat, Javaid Akhter
Karikari, Benjamin
Kong, Jiejie
Gai, Junyi
Zhao, Tuanjie
Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title_full Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title_fullStr Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title_full_unstemmed Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title_short Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
title_sort deciphering the genetic architecture of plant height in soybean using two ril populations sharing a common m8206 parent
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843848/
https://www.ncbi.nlm.nih.gov/pubmed/31561497
http://dx.doi.org/10.3390/plants8100373
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