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Mapping QTL for seedling morphological and physiological traits under normal and salt treatments in a RIL wheat population

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Abstract

Key message

The genetic basis of 27 seedling traits under normal and salt treatments was fully analyzed in a RIL wheat population, and seven QTL intervals were validated in two other genetic populations.

Abstract

Soil salinity seriously constrains wheat (Triticum aestivum L.) production globally by influencing its growth and development. To explore the genetic basis of salt tolerance in wheat, a recombinant inbred line (RIL) population derived from a cross between high-yield wheat cultivar Zhongmai 175 (ZM175) and salt-tolerant cultivar Xiaoyan 60 (XY60) was used to map QTL for seedling traits under normal and salt treatments based on a high-density genetic linkage map. A total of 158 stable additive QTL for 27 morphological and physiological traits were identified and distributed on all wheat chromosomes except 3A and 4D. They explained 2.35–46.43% of the phenotypic variation with a LOD score range of 2.61–40.38. The alleles from XY60 increased corresponding traits for 100 QTL, while the alleles from ZM175 had positive effects for the other 58 QTL. Nearly half of the QTL (78/158) were mapped in nine QTL clusters on chromosomes 2A, 2B, 2D, 4B, 5A, 5B, 5D, and 7D (2), respectively. To prove the reliability and potentiality in molecular marker-assisted selection (MAS), seven QTL intervals were validated in two other genetic populations. Besides additive QTL, 94 pairs of loci were detected with significant epistatic effect and 20 QTL were found to interact with treatment. This study provides a full elucidation of the genetic basis of seedling traits (especially root system-related traits) associated with salt tolerance in wheat, and the developed kompetitive allele-specific PCR markers closely linked to stable QTL would supply strong supports to MAS in salt-tolerant wheat breeding.

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Acknowledgements

We thank Prof. Jing Ruilian and Dr. Li Long at the Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, for their generous help in QTL validation with “Hanxuan 10/Lumai 14” DH population. We also thank Prof. Liu Dongcheng in Hebei Agricultural University for his generous help in QTL validation with “Xiaoyan 54/Jing 411” RIL population. This study was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA24030302) and the National Natural Science Foundation of China (No. 31971875).

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Authors and Affiliations

  1. State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China

    Qiaoling Luo, Pan Hu, Guotang Yang, Hongwei Li, Liqin Liu, Zishan Wang, Bin Li, Zhensheng Li & Qi Zheng

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Guotang Yang

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  1. Qiaoling Luo
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  2. Pan Hu
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Contributions

ZSL and QZ supervised the research. QZ and QLL designed the experiment. QLL and QZ performed the phenotypes of ZX RIL population. PH and QLL performed the phenotypes of XJ and HL population. QLL performed data analysis and QTL mapping, confirmed the QTL effects and wrote the manuscript. QZ also put forward many constructive suggestions and revised the manuscript. GTY, HWL, LQL, ZSW, and BL provided a lot of help in the phenotype identification and materials preparation. All authors read and approved the final manuscript.

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Correspondence to Qi Zheng.

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122_2021_3872_MOESM1_ESM.pdf

Fig. S1 Detection of QTL for sNa on chromosome 2B and 5A using two kinds of mapping software. The solid lines in dark color on LOD graph denote the QTL detected with IciMapping 4.1; the dashed lines in light color denote the QTL detected with WinQTLCart 2.5. (PDF 41 kb)

122_2021_3872_MOESM2_ESM.tif

Fig. S2 Validation of QTL for SWC on chromosome 6B. The markers along the chromosomes in blue were the same SNPs in the common QTL intervals in ZX and XJ populations. (TIF 12904 kb)

122_2021_3872_MOESM3_ESM.tif

Fig. S3 Distribution of 158 QTL on all 21 wheat chromosomes. X-axis for each chromosome, Y-axis for the QTL number. (TIF 2100 kb)

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Fig. S4 Genotyping of 24 ZX RILs with the six developed KASP markers in this study. The genotypes obtained using KASP markers were coincided with the genotyping results on the Wheat55K SNP array. (TIF 11975 kb)

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Luo, Q., Hu, P., Yang, G. et al. Mapping QTL for seedling morphological and physiological traits under normal and salt treatments in a RIL wheat population. Theor Appl Genet 134, 2991–3011 (2021). https://doi.org/10.1007/s00122-021-03872-5

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  • DOI: https://doi.org/10.1007/s00122-021-03872-5

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