Identification and validation of major QTL for grain size and weight in bread wheat (Triticum aestivum L.)

Ji, Guangsi; Xu, Zhibin; Fan, Xiaoqin; Zhou, Qiang; Chen, Liangen; Yu, Qin; Liao, Simin; Jiang, Cheng; Feng, Bo; Wang, Tao

doi:10.1016/j.cj.2022.06.014

Cited by 23 publications

(18 citation statements)

References 61 publications

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“…These datasets are publicly accessible and can be found at https://ngdc.cncb.ac.cn/gsa . The processing of raw data was performed according to the previously method ( Ji et al., 2023 ). In this study, two methods Euclidean distance (ED) and Δ(SNP-index) were employed to identify SNP and InDel sites between the paired pools.…”

Section: Methodsmentioning

confidence: 99%

Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Triticum aestivum L.)

Jiang,

Xu,

Fan

et al. 2024

Front. Plant Sci.

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Grain number per spike (GNS) is a crucial component of grain yield and plays a significant role in improving wheat yield. To identify quantitative trait loci (QTL) associated with GNS, a recombinant inbred line (RIL) population derived from the cross of Zhongkemai 13F10 and Chuanmai 42 was employed to conduct QTL mapping across eight environments. Based on the bulked segregant exome sequencing (BSE-Seq), genomic regions associated with GNS were detected on chromosomes 5A and 6A. According to the constructed genetic maps, two major QTL QGns.cib-5A (LOD = 4.35–8.16, PVE = 8.46–14.43%) and QGns.cib-6A (LOD = 3.82–30.80, PVE = 5.44–12.38%) were detected in five and four environments, respectively. QGns.cib-6A is a QTL cluster for other seven yield-related traits. QGns.cib-5A and QGns.cib-6A were further validated using linked Kompetitive Allele Specific PCR (KASP) markers in different genetic backgrounds. QGns.cib-5A exhibited pleiotropic effects on productive tiller number (PTN), spike length (SL), fertile spikelet number per spike (FSN), and ratio of grain length to grain width (GL/GW) but did not significantly affect thousand grain weight (TGW). Haplotype analysis revealed that QGns.cib-5A and QGns.cib-6A were the targets of artificial selection during wheat improvement. Candidate genes for QGns.cib-5A and QGns.cib-6A were predicted by analyzing gene annotation, spatiotemporal expression patterns, and orthologous and sequence differences. These findings will be valuable for fine mapping and map-based cloning of genes underlying QGns.cib-5A and QGns.cib-6A.

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Section: Methodsmentioning

confidence: 99%

Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Triticum aestivum L.)

Jiang,

Xu,

Fan

et al. 2024

Front. Plant Sci.

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“…and abiotic stress resistances, revealing that the KASP assays were 45 times faster than using gel-based polymerase chain reaction (PCR) markers. Ji et al (2023) identified a novel QTL named QTgw.cib-4A controlling TKW from CM42, and then it was proved that QTgw.cib-4A significantly increased TGW by 1.13%-1.51% by using the corresponding KASP marker in another population.…”

Section: Core Ideasmentioning

confidence: 98%

Large‐scale breeding population validating significant loci for the 1000‐kernel weight of wheat

Jiang,

Li,

Cui

et al. 2024

Crop Science

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As an important component of wheat (Triticum aestivum L.) yield, 1000‐kernel weight (TKW) has played a crucial role in yield improvement in recent decades. Marker‐assisted selection is an effective tool for improving quantitative traits; however, most markers have not been effectively applied in TKW improvement despite the identification of many loci associated with TKW. In this study, association mapping was performed using local cultivated varieties, and a previous linkage analysis was integrated to identify 10 candidate intervals. The corresponding kompetitive allele‐specific PCR markers associated with TKW were successfully developed and screened in 1153 F4 breeding lines. Three markers, namely, Ktkw‐5B2, Ktkw‐5D, and Ktkw‐7D, were proved to be significantly related to TKW according to large‐scale association mapping, and their ability to increase TKW was enhanced in combination. We applied the three markers in 150 F6 breeding lines and obtained 25 high‐TKW lines, indicating the availability in marker‐assisted selection. The TKW‐increasing allele for Ktkw‐5D was heavily selected in the present breeding program, while that for Ktkw‐5B2 was low and for Ktkw‐7D tended to increase after 2000. Furthermore, strategies for gene exploration in the three significant intervals were proposed. These results are expected to provide an efficient route for improving TKW in wheat high‐yield breeding.

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“…In addition, polymorphic SNPs simultaneously detected in the parents and the mixed pools within the associated regions (Chinese Spring IWGSC RefSeq v2.1) were converted into KASP markers. These markers were developed according to the previously described method by Ji et al (2022) for QTL confirmation and linkage analysis. In order to evaluate the effects of the major QTL on corresponding traits, the tightly linked markers were used.…”

Section: Development Of Molecular Markermentioning

confidence: 99%

Identification and validation of quantitative trait loci for fertile spikelet number per spike and grain number per fertile spikelet in bread wheat (Triticum aestivum L.)

Jiang

Fan

et al. 2023

Theor Appl Genet

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Identification and validation of major QTL for grain size and weight in bread wheat (Triticum aestivum L.)

Cited by 23 publications

References 61 publications

Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Triticum aestivum L.)

Genetic dissection of major QTL for grain number per spike on chromosomes 5A and 6A in bread wheat (Triticum aestivum L.)

Large‐scale breeding population validating significant loci for the 1000‐kernel weight of wheat

Identification and validation of quantitative trait loci for fertile spikelet number per spike and grain number per fertile spikelet in bread wheat (Triticum aestivum L.)

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