Identification of structural variations related to drought tolerance in wheat (Triticum aestivum L.)

Zhao, Jiajia; Li, Xiaohua; Liao, Qiao; Zheng, Xingwei; Wu, Bangbang; Guo, Meijun; Feng, Meichen; Qi, Zengjun; Yang, Wude; Zheng, Jun

doi:10.1007/s00122-023-04283-4

Cited by 3 publications

(4 citation statements)

References 85 publications

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“…Chromosome preparation and FISH used the procedure of Zhao et al (2023). Under an Olympus BX60 (Olympus Inc, Japan) microscope, the images were captured with a SPOT CCD (SPOT Cooled Color Digital, Olympus-DP80) camera.…”

Section: Fish Experiments and Karyotype Analysismentioning

confidence: 99%

“…SCVs play an essential role in wheat growth and environmental adaptation. For example, Zhao et al (2023) found three SCVs on chromosomes 4A, 5A, and 7B, which were signi cantly associated with wheat grain length, grain width, and spike length. Zhao et al (2022) analyzed 12 agronomic traits of wheat, including 1000-grain weight, grain length, and grain width, and identi ed 29 signi cantly associated SCVs, with R 2 ranging from 1.10 % to 37.19 %.…”

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confidence: 99%

“…. Characteristics of signi cant loci related to root traits for wheat under two culture conditions Zhao et al 2023)…”

mentioning

confidence: 99%

“…In of chromosomal structural variants can provide new insights for the genetic characterization of root traits. In wheat, the genetic effects of SCVs have been studied rarely, and only SCVs associated to agronomic traits have been reported(Zhao et al 2022;Zhao et al 2023…”

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confidence: 99%

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Genetic dissection for seedling root-related traits using multiple-methods in bread wheat (Triticum aestivum L.)

Wei,

Hao,

Tao

et al. 2024

Preprint

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The root system of wheat affects water and fertilizer use efficiency, stress tolerance, and agronomic traits. Using association analysis and linkage mapping, QTL associated with 12 seedling-stage root traits were identified with SNPs and SCVs under both hydroponic nutrient solution culture experiment (NCE) and soil culture experiment (SCE). Except for MRL, the root traits of seedlings under NCE and SCE differed significantly. Several seedling indicators, including RFW, RDW and RS, were significantly correlated with adult plant agronomic traits. Identification of RFW, RDW, RS, and RV by NCE is equivalent to SCE for subsequent research. Under NCE, 29 stable loci and 9 SCVs of 12 root traits were detected respectively by SNPs and SCVs association analysis. Under SCE, association analysis detected 23 stable loci with SNPs and 26 loci with SCVs. In the DH population, 21 stable QTL were detected by SNPs linkage analysis, and 6 SCVs were found by SCVs analysis. Co-localization analysis revealed that NCE and SCE simultaneously detected QRdw.sxau-6A, QRd.sxau-1B.2, and QDw.sxau-6A (5.56%-8.76% of R2). Mr1B-3, Mr3A-3 and Mr3A-4 were detected in both NCE and SCE (4.74%-9.07% of R2). In the association panel, SNPs and SCVs co-localized to 14 MTAs, of which Mr5A-6 and QRd.sxau-5A were significantly associated with RD. The association panel and DH population co-located 10 QTL, of which QDw.sxau-1D was stably detected. QDw.sxau-6A and Mg6A-9 overlapped in same genomic location containing candidate genes TraesCS6A02G372300, TraesCS6A02G382900 and TraesCS6A02G365100. The present study contributes novel insights into the genetics of root architecture in wheat.

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Section: Fish Experiments and Karyotype Analysismentioning

confidence: 99%

mentioning

confidence: 99%

“…. Characteristics of signi cant loci related to root traits for wheat under two culture conditions Zhao et al 2023)…”

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confidence: 99%

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confidence: 99%

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