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Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat

Spike-layer uniformity (SLU), the consistency of the spike distribution in the vertical space, is an important trait. It directly affects the yield potential and appearance. Revealing the genetic basis of SLU will provide new insights into wheat improvement. To map the SLU-related quantitative trait...

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Detalles Bibliográficos
Autores principales: Zhou, Kunyu, Lin, Yu, Jiang, Xiaojun, Zhou, Wanlin, Wu, Fangkun, Li, Caixia, Wei, Yuming, Liu, Yaxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835109/
https://www.ncbi.nlm.nih.gov/pubmed/35162974
http://dx.doi.org/10.3390/ijms23031052
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author Zhou, Kunyu
Lin, Yu
Jiang, Xiaojun
Zhou, Wanlin
Wu, Fangkun
Li, Caixia
Wei, Yuming
Liu, Yaxi
author_facet Zhou, Kunyu
Lin, Yu
Jiang, Xiaojun
Zhou, Wanlin
Wu, Fangkun
Li, Caixia
Wei, Yuming
Liu, Yaxi
author_sort Zhou, Kunyu
collection PubMed
description Spike-layer uniformity (SLU), the consistency of the spike distribution in the vertical space, is an important trait. It directly affects the yield potential and appearance. Revealing the genetic basis of SLU will provide new insights into wheat improvement. To map the SLU-related quantitative trait loci (QTL), 300 recombinant inbred lines (RILs) that were derived from a cross between H461 and Chinese Spring were used in this study. The RILs and parents were tested in fields from two continuous years from two different pilots. Phenotypic analysis showed that H461 was more consistent in the vertical spatial distribution of the spike layer than in Chinese Spring. Based on inclusive composite interval mapping, four QTL were identified for SLU. There were two major QTL on chromosomes 2BL and 2DL and two minor QTL on chromosomes 1BS and 2BL that were identified. The additive effects of QSlu.sicau-1B, Qslu.sicau-2B-2, and QSlu.sicau-2D were all from the parent, H461. The major QTL, QSlu.sicau-2B-2 and QSlu.sicau-2D, were detected in each of the conducted trials. Based on the best linear unbiased prediction values, the two loci explained 23.97% and 15.98% of the phenotypic variation, respectively. Compared with previous studies, the two major loci were potentially novel and the two minor loci were overlapped. Based on the kompetitive allele-specific PCR (KASP) marker, the genetic effects for QSlu.sicau-2B-2 were validated in an additional RIL population. The genetic effects ranged from 26.65% to 32.56%, with an average value of 30.40%. In addition, QSlu.sicau-2B-2 showed a significant (p < 0.01) and positive influence on the spike length, spikelet number, and thousand kernel weight. The identified QTL and the developed KASP marker will be helpful for fine-mapping these loci, finally contributing to wheat breeding programs in a marker-assisted selection way.
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spelling pubmed-88351092022-02-12 Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat Zhou, Kunyu Lin, Yu Jiang, Xiaojun Zhou, Wanlin Wu, Fangkun Li, Caixia Wei, Yuming Liu, Yaxi Int J Mol Sci Article Spike-layer uniformity (SLU), the consistency of the spike distribution in the vertical space, is an important trait. It directly affects the yield potential and appearance. Revealing the genetic basis of SLU will provide new insights into wheat improvement. To map the SLU-related quantitative trait loci (QTL), 300 recombinant inbred lines (RILs) that were derived from a cross between H461 and Chinese Spring were used in this study. The RILs and parents were tested in fields from two continuous years from two different pilots. Phenotypic analysis showed that H461 was more consistent in the vertical spatial distribution of the spike layer than in Chinese Spring. Based on inclusive composite interval mapping, four QTL were identified for SLU. There were two major QTL on chromosomes 2BL and 2DL and two minor QTL on chromosomes 1BS and 2BL that were identified. The additive effects of QSlu.sicau-1B, Qslu.sicau-2B-2, and QSlu.sicau-2D were all from the parent, H461. The major QTL, QSlu.sicau-2B-2 and QSlu.sicau-2D, were detected in each of the conducted trials. Based on the best linear unbiased prediction values, the two loci explained 23.97% and 15.98% of the phenotypic variation, respectively. Compared with previous studies, the two major loci were potentially novel and the two minor loci were overlapped. Based on the kompetitive allele-specific PCR (KASP) marker, the genetic effects for QSlu.sicau-2B-2 were validated in an additional RIL population. The genetic effects ranged from 26.65% to 32.56%, with an average value of 30.40%. In addition, QSlu.sicau-2B-2 showed a significant (p < 0.01) and positive influence on the spike length, spikelet number, and thousand kernel weight. The identified QTL and the developed KASP marker will be helpful for fine-mapping these loci, finally contributing to wheat breeding programs in a marker-assisted selection way. MDPI 2022-01-19 /pmc/articles/PMC8835109/ /pubmed/35162974 http://dx.doi.org/10.3390/ijms23031052 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
Zhou, Kunyu
Lin, Yu
Jiang, Xiaojun
Zhou, Wanlin
Wu, Fangkun
Li, Caixia
Wei, Yuming
Liu, Yaxi
Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title_full Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title_fullStr Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title_full_unstemmed Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title_short Identification and Validation of Quantitative Trait Loci Mapping for Spike-Layer Uniformity in Wheat
title_sort identification and validation of quantitative trait loci mapping for spike-layer uniformity in wheat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835109/
https://www.ncbi.nlm.nih.gov/pubmed/35162974
http://dx.doi.org/10.3390/ijms23031052
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