4.7 Article

Regions of Chromosome 2A of Bread Wheat (Triticum aestivum L.) Associated with Variation in Physiological and Agronomical Traits under Contrasting Water Regimes

Journal

PLANTS-BASEL
Volume 10, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/plants10051023

Keywords

drought tolerance; QTL; GWAS; photosynthesis; antioxidant enzymes; yield components; candidate genes

Categories

Funding

  1. ICG SB RAS [0259-2021-0018]
  2. budget project of SIPPB SB RAS [0277-2021-0002]
  3. Russian Science Foundation [21-7630003]
  4. Russian Science Foundation [21-76-30003] Funding Source: Russian Science Foundation

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Understanding the genetic architecture of drought tolerance is crucial for improving wheat yield under drought conditions. A study on chromosome 2A identified multiple QTLs and candidate genes associated with physiological and agronomical traits, including transcription factors, which could be utilized for marker-assisted breeding programs targeting drought tolerance in wheat.
Understanding the genetic architecture of drought tolerance is of great importance for overcoming the negative impact of drought on wheat yield. Earlier, we discovered the critical role of chromosome 2A for the drought-tolerant status of wheat spring cultivar Saratovskaya 29. A set of 92 single-chromosome recombinant double haploid (SCRDH) lines were obtained in the genetic background of Saratovskaya 29. The lines carry fragments of chromosome 2A from the drought-sensitive cultivar Yanetzkis Probat. The SCRDH lines were used to identify regions on chromosome 2A associated with the manifestation of physiological and agronomical traits under distinct water supply, and to identify candidate genes that may be associated with adaptive gene networks in wheat. Genotyping was done with Illumina Infinium 15k wheat array using 590 SNP markers with 146 markers being polymorphic. In four identified regions of chromosome 2A, 53 out of 58 QTLs associated with physiological and agronomic traits under contrasting water supply were mapped. Thirty-nine candidate genes were identified, of which 18 were transcription factors. The region 73.8-78.1 cM included the largest number of QTLs and candidate genes. The variation in SNPs associated with agronomical and physiological traits revealed among the SCRDH lines may provide useful information for drought related marker-assisted breeding.

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