4.7 Article

Delineation of novel genomic loci and putative candidate genes associated with seed iron and zinc content in lentil (Lens culinaris Medik.)

Journal

PLANT SCIENCE
Volume 335, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.plantsci.2023.111787

Keywords

Lentil; Seed iron and zinc content; Association mapping; QTL

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The use of molecular breeding techniques has the potential to develop lentil genotypes biofortified with essential micronutrients such as iron and zinc, which can address the problem of global malnutrition. In this study, a genome-wide association study was conducted to identify genomic regions associated with seed iron and zinc content in lentil. Through genotyping-by-sequencing analysis, significant single nucleotide polymorphisms (SNPs) were identified, and association mapping revealed SNPs associated with seed iron and zinc content that were distributed across different chromosomes. Several candidate genes involved in iron and zinc metabolism were also identified. These findings provide valuable information for future breeding studies of lentil for nutrient biofortification.
The use of molecular breeding approaches for development of lentil genotypes biofortified with essential micronutrients such as iron and zinc, could serve as a promising solution to address the problem of global malnutrition. Thus, genome-wide association study (GWAS) strategy was adopted in this study to identify the genomic regions associated with seed iron and zinc content in lentil. A panel of 95 diverse lentil genotypes, grown across three different geographical locations and evaluated for seed iron and zinc content, exhibited a wide range of variation. Genotyping-by-sequencing (GBS) analysis of the panel identified 33,745 significant single nucleotide polymorphisms (SNPs) that were distributed across all the 7 lentil chromosomes. Association mapping revealed 23 SNPs associated with seed iron content that were distributed across all the chromosomes except chromosome 3. Similarly, 14 SNPs associated with seed zinc content were also identified that were distributed across chromosomes 1, 2, 4, 5 and 6. Further, 80 genes were identified in the proximity of iron associated markers and 36 genes were identified in the proximity of zinc associated markers. Functional annotation of these genes revealed their putative involvement in iron and zinc metabolism. For seed iron content, two highly significant SNPs were found to be located within two putative candidate genes namely iron-sulfur cluster assembly (ISCA) and flavin binding monooxygenase (FMO) respectively. For zinc content, a highly significant SNP was detected in a gene encoding UPF0678 fatty acid-binding protein. Expression analysis of these genes and their putative interacting partners suggests their involvement in iron and zinc metabolism in lentil. Overall, in this study we have identified markers, putative candidate genes and predicted putative interacting protein partners significantly associated with iron and zinc metabolism that could be utilized in future breeding studies of lentil for nutrient biofortification.

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