Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat

Ma, Jian; Ding, Ping; Liu, Jiajun; Li, Ting; Zou, Yaya; Habib, Ahsan; Mu, Yang; Tang, Huaping; Jiang, Qiantao; Liu, Yaxi; Chen, Guoyue; Wang, Jirui; Deng, Mei; Qi, Pengfei; Wei, Li; Pu, Zhien; Zheng, Youliang; Wei, Yuming; Lan, Xiujin

doi:10.1007/s00122-019-03415-z

Cited by 86 publications

(82 citation statements)

References 61 publications

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“…An F 6 recombinant inbred lines (2CN RIL with 199 lines), generated by single seed decent method from the cross between the wheat ( Triticum aestivum L., 2n = 6x = 42, AABBDD) line 20828 and commercial cultivar 'Chuannong16' (CN16), were used in the present study. The line 20828 shows multiple spikelets per spike and high resistance to stripe rust (Ma, Ding, et al, ; Ma, Qin, et al, ). These excellent agronomic traits make 20828 be widely utilized as a breeding parent for the past 10 years.…”

Section: Methodsmentioning

confidence: 99%

“…The genetic linkage map utilized in this study was previously constructed by Wheat55K SNP array (Liu et al, ), and 10 SSR markers were added to the map on chromosome 1B (Ma, Ding, et al, ). A total of 12,109 SNP marker loci were distributed evenly on 21 chromosomes, with an average of 2,600 markers per chromosome, and the average distance between markers was about 0.1 cM (Ma, Ding, et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…CN16 carries the 1BL/1RS translocation (Qi et al, ), and thus, the 1RS‐ or 1BS‐specific markers showed co‐segregation and distorted segregation in the 2CN RIL population (Liu et al, ). Therefore, the constructed genetic map did not cover 1BS but 1BL only (Ma, Ding, et al, ). Among the RILs, the lines containing 1BS ( n = 34) and 1RS ( n = 139) had been identified (Liu et al, ).…”

Section: Methodsmentioning

confidence: 99%

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Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Liu

et al. 2019

Plant Breeding

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Spike density (SD), an important spike morphological trait associated with wheat yield, is the spikelet number per spike (SNS) divided by spike length (SL). In this study, phenotypic data from eight environments were collected and a recombinant inbred line population (RIL) constructed by the wheat line 20828 and the cultivar 'Chuannong16' and a Wheat55K SNP array‐based constructed genetic linkage map were used to identify SD quantitative trait locus (QTL). Correlation between SD and other agronomic traits was calculated. Genes associated with plant growth and development for major loci were predicted. The results showed that 24 QTLs associated with SD were detected in eight environments. Among them, three major QTL, namely QSd.sicau‐5B.2, QSd.sicau‐2D.3 and QSd.sicau‐4B.1, explained up to 35.62%, 14.21% and 11.23% of phenotypic variation, respectively. The positive alleles of them were all derived from 'Chuannong16'. The significant relationships between SD and other agronomic traits were detected and discussed. Taken together, the stably expressed SD QTL under different environments identified in this study provided theoretical guidance for further fine mapping and germplasm improvement.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Liu

et al. 2019

Plant Breeding

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“…KL, KW and TKW were all significantly and negatively correlated with spikelet number per spike and anthesis date (Table S3). QTL mapping indicated that major QTL for spikelet number per spike [24] and anthesis date were co-located with the major QTL for KL, KW and TKW (Table S7), further confirming their close relationships. It is well known that for a single spike, an increase in spikelet number is usually accompanied with reduced kernel weight due to nutrition competition [47][48][49].…”

Section: Discussionmentioning

confidence: 63%

“…4). SNPs in this region detected by the Wheat660K array in the parents of the 2CN population were converted to KASP markers [24]. KASP-AX-94721936 was genetically mapped between AX-111096297 and AX-86171316 ( Fig.…”

Section: Marker Development and Validationmentioning

confidence: 99%

Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

Zhang

et al. 2019

Preprint

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Background Kernel length (KL), kernel width (KW) and thousand-kernel weight (TKW) are key agronomic traits in wheat breeding. Chuannong16 (‘CN16’) is a commercial cultivar with significantly longer kernels that the line ‘20828’. To identify and characterize potential alleles from CN16 controlling KL, the previously developed recombinant inbred line (RIL) population derived from the cross ‘20828’ × ‘CN16’ and the genetic map constructed by the Wheat55K SNP array and SSR markers were used to perform quantitative trait locus/loci (QTL) analyses for kernel traits.Results A total of 11 putative QTL associated with kernel traits were identified and they were located on chromosomes 1A (2 QTL), 2B (2 QTL), 2D (3 QTL), 3D, 4A, 6A, and 7A, respectively. Among them, three major QTL, QKL.sicau-2D , QKW.sicau-2D and QTKW.sicau-2D , controlling KL, KW and TKW, respectively, were detected in three different environments. Respectively, they explained 10.88-18.85%, 17.21-21.49% and 10.01-23.20% of the phenotypic variance. Further, they were genetically mapped in the same interval on chromosome 2DS. A previously developed kompetitive allele-specific PCR (KASP) marker KASP-AX-94721936 was integrated in the genetic map and QTL re-mapping finally located the three major QTL in a 1- cM region flanked by AX-111096297 and KASP-AX-94721936 . Another two co-located QTL intervals for KL and TKW were also identified. A few predicated genes involved in regulation of kernel growth and development were identified in the intervals of these identified QTL. Significant relationships between kernel traits and spikelet number per spike and anthesis date were detected and discussed.Conclusions Three major and stably expressed QTL associated with KL, KW, and TKW were identified. A KASP marker tightly linked to these three major QTL was integrated. These findings provide information for subsequent fine mapping and cloning the three co-localized major QTL for kernel traits.

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Mapping and validation of major and stable QTL for flag leaf size from tetraploid wheat

et al. 2022

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The flag leaf is an important photosynthetic organ of wheat (Triticum aestivum L.). Appropriate flag leaf size can effectively increase grain yield. In this study, a tetraploid wheat population of recombinant inbred lines (RILs) and a genetic map constructed based on a wheat 55K single‐nucleotide polymorphism (SNP) array were used to identify quantitative trait loci (QTL) for flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA), and the flag leaf length/width ratio (FLR). A novel and major interval flanked by markers AX‐111633224 and AX‐109317229 was identified. This interval includes QTL for FLL (QFll.sau‐AM‐4B.2), for FLW (QFlw.sau‐AM‐4B.4), for FLA (QFla.sau‐AM‐4B), and for FLR (QFlr.sau‐AM‐4B). Based on the genotypes of the closely linked KASP (Kompetitive allele‐specific polymerase chain reaction [PCR]) marker (KASP‐AX‐108756198), QFlw.sau‐AM‐4B.4 and QFla.sau‐AM‐4B were successfully verified in two F3 populations with different genetic backgrounds. Genetic associations between flag leaf‐related traits and other agronomic traits were detected and analyzed. Four genes in this interval were likely involved in the growth and development of the flag leaf size. In conclusion, this study provides clues for excavating genes related to flag leaf size and breeding variety with ideal plant structure.

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Identification and validation of a major and stably expressed QTL for spikelet number per spike in bread wheat

Cited by 86 publications

References 61 publications

Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Several stably expressed QTL for spike density of common wheat (Triticum aestivum) in multiple environments

Identification of quantitative trait loci for kernel traits in a wheat cultivar Chuannong16

Mapping and validation of major and stable QTL for flag leaf size from tetraploid wheat

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