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Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method

Plant height (PH) and its component traits are critical determinants of lodging resistance and strongly influence yield in rice. The genetic architecture of PH and its component traits were mined in two mapping populations. In the natural population composed of 504 accessions, a total of forty simpl...

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Autores principales: Sitoe, Hélder Manuel, Zhang, Yuanqing, Chen, Siqi, Li, Yulong, Ali, Mehtab, Sowadan, Ognigamal, Karikari, Benjamin, Liu, Erbao, Dang, Xiaojing, Qian, Hujun, Hong, Delin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002822/
https://www.ncbi.nlm.nih.gov/pubmed/35406978
http://dx.doi.org/10.3390/plants11070999
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author Sitoe, Hélder Manuel
Zhang, Yuanqing
Chen, Siqi
Li, Yulong
Ali, Mehtab
Sowadan, Ognigamal
Karikari, Benjamin
Liu, Erbao
Dang, Xiaojing
Qian, Hujun
Hong, Delin
author_facet Sitoe, Hélder Manuel
Zhang, Yuanqing
Chen, Siqi
Li, Yulong
Ali, Mehtab
Sowadan, Ognigamal
Karikari, Benjamin
Liu, Erbao
Dang, Xiaojing
Qian, Hujun
Hong, Delin
author_sort Sitoe, Hélder Manuel
collection PubMed
description Plant height (PH) and its component traits are critical determinants of lodging resistance and strongly influence yield in rice. The genetic architecture of PH and its component traits were mined in two mapping populations. In the natural population composed of 504 accessions, a total of forty simple sequence repeat (SSR) markers associated with PH and its component traits were detected across two environments via association mapping. Allele RM305-210 bp on chromosome 5 for PH had the largest phenotypic effect value (PEV) (−51.42 cm) with a reducing effect. Allele RM3533-220 bp on chromosome 9 for panicle length and allele RM264-120 bp on chromosome 8 for the length of upper first elongated internode (1IN) showed the highest positive PEV. Among the elongated internodes with negative effects being desirable, the allele RM348-130 bp showed the largest PEV (−7.48 cm) for the length of upper second elongated internode. In the chromosome segment substitution line population consisting of 53 lines, a total of nine QTLs were detected across two environments, with the phenotypic variance explained (PVE) ranging 10.07–28.42%. Among the detected QTLs, q1IN-7 explained the largest PVE (28.42%) for the 1IN, with an additive of 5.31 cm. The favorable allele RM257-125 bp on chromosome 9 for the 1IN increasing was detected in both populations. The favorable alleles provided here could be used to shape PH architecture against lodging.
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spelling pubmed-90028222022-04-13 Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method Sitoe, Hélder Manuel Zhang, Yuanqing Chen, Siqi Li, Yulong Ali, Mehtab Sowadan, Ognigamal Karikari, Benjamin Liu, Erbao Dang, Xiaojing Qian, Hujun Hong, Delin Plants (Basel) Article Plant height (PH) and its component traits are critical determinants of lodging resistance and strongly influence yield in rice. The genetic architecture of PH and its component traits were mined in two mapping populations. In the natural population composed of 504 accessions, a total of forty simple sequence repeat (SSR) markers associated with PH and its component traits were detected across two environments via association mapping. Allele RM305-210 bp on chromosome 5 for PH had the largest phenotypic effect value (PEV) (−51.42 cm) with a reducing effect. Allele RM3533-220 bp on chromosome 9 for panicle length and allele RM264-120 bp on chromosome 8 for the length of upper first elongated internode (1IN) showed the highest positive PEV. Among the elongated internodes with negative effects being desirable, the allele RM348-130 bp showed the largest PEV (−7.48 cm) for the length of upper second elongated internode. In the chromosome segment substitution line population consisting of 53 lines, a total of nine QTLs were detected across two environments, with the phenotypic variance explained (PVE) ranging 10.07–28.42%. Among the detected QTLs, q1IN-7 explained the largest PVE (28.42%) for the 1IN, with an additive of 5.31 cm. The favorable allele RM257-125 bp on chromosome 9 for the 1IN increasing was detected in both populations. The favorable alleles provided here could be used to shape PH architecture against lodging. MDPI 2022-04-06 /pmc/articles/PMC9002822/ /pubmed/35406978 http://dx.doi.org/10.3390/plants11070999 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sitoe, Hélder Manuel
Zhang, Yuanqing
Chen, Siqi
Li, Yulong
Ali, Mehtab
Sowadan, Ognigamal
Karikari, Benjamin
Liu, Erbao
Dang, Xiaojing
Qian, Hujun
Hong, Delin
Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title_full Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title_fullStr Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title_full_unstemmed Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title_short Detection of QTLs for Plant Height Architecture Traits in Rice (Oryza sativa L.) by Association Mapping and the RSTEP-LRT Method
title_sort detection of qtls for plant height architecture traits in rice (oryza sativa l.) by association mapping and the rstep-lrt method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002822/
https://www.ncbi.nlm.nih.gov/pubmed/35406978
http://dx.doi.org/10.3390/plants11070999
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