4.6 Article

Identification of QTLs Controlling Resistance to Anthracnose Disease in Water Yam (Dioscorea alata)

期刊

GENES
卷 13, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/genes13020347

关键词

Dioscorea spp; greater yam; genetic map; marker-trait association; linkage analysis

资金

  1. Bill and Melinda Gates Foundation (BMGF), AfricaYam project [OPP1052998]
  2. Kwabena Darkwa at the Pan African University, Institute of Life and Earth Sciences (PAULESI), University of Ibadan.
  3. Bill and Melinda Gates Foundation [OPP1052998] Funding Source: Bill and Melinda Gates Foundation

向作者/读者索取更多资源

This study used genotyping by sequencing and phenotyping to tag quantitative trait loci (QTL) for anthracnose disease resistance in water yam. A high-density genetic linkage map was constructed, and four QTL regions related to anthracnose resistance were identified. The results provide valuable insight into the genetic architecture of anthracnose resistance in water yam and offer candidate markers for marker-assisted selection.
Anthracnose disease caused by a fungus Colletotrichum gloeosporioides is the primary cause of yield loss in water yam (Dioscorea alata), the widely cultivated species of yam. Resistance to yam anthracnose disease (YAD) is a prime target in breeding initiatives to develop durable-resistant cultivars for sustainable management of the disease in water yam cultivation. This study aimed at tagging quantitative trait loci (QTL) for anthracnose disease resistance in a bi-parental mapping population of D. alata. Parent genotypes and their recombinant progenies were genotyped using the Genotyping by Sequencing (GBS) platform and phenotyped in two crop cycles for two years. A high-density genetic linkage map was built with 3184 polymorphic Single Nucleotide Polymorphism (NSP) markers well distributed across the genome, covering 1460.94 cM total length. On average, 163 SNP markers were mapped per chromosome with 0.58 genetic distances between SNPs. Four QTL regions related to yam anthracnose disease resistance were identified on three chromosomes. The proportion of phenotypic variance explained by these QTLs ranged from 29.54 to 39.40%. The QTL regions identified showed genes that code for known plant defense responses such as GDSL-like Lipase/Acylhydrolase, Protein kinase domain, and F-box protein. The results from the present study provide valuable insight into the genetic architecture of anthracnose resistance in water yam. The candidate markers identified herewith form a relevant resource to apply marker-assisted selection as an alternative to a conventional labor-intensive screening for anthracnose resistance in water yam.

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