Publication: DArTseq-based silicoDArT and SNP markers reveal the genetic diversity and population structure of Kenyan cashew (Anacardium occidentale L.) landraces
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2025-01-31
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NRF
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PLOS one
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Abstract
Cashew (Anacardium occidentale L.) is an important tree grown worldwide for its edible fruits, nuts and other products of industrial applications. The ecologically sensitive
cashew-growing region in coastal Kenya is significantly affected by rising temperatures,
droughts, floods, and shifting rainfall patterns. These changes adversely impact cashew
growth by altering flowering patterns, increasing pests and diseases, and causing postharvest losses, which ultimately result in reduced yields and tree mortality. This is exacerbated by the long juvenile phase, high heterozygosity, lack of trait correlations, large
mature plant size, and inadequate genomic resources. For the first time, the Diversity
Array Technology (DArT) technology was employed to identify DArT (silicoDArT) and
single nucleotide polymorphisms (SNPs) markers for genomic understanding of cashew
in Kenya. Cashew leaf samples were collected in Kwale, Kilifi and Lamu counties along
coastal Kenya followed by DNA extraction. The reduced libraries were sequenced using
Hiseq 2500 Illumina sequencer, and the SNPs called using DarTsoft14. A total of 27,495
silicoDArT and 17,008 SNP markers were reported, of which 1340 silicoDArT and 824
SNP markers were used for analyses after screening, with >80% call rate, >95% reproducibility, polymorphism information content (PIC ≥ 0.25) and one ratio (>0.25). The
silicoDArT and SNP markers had mean PIC values ranging from 0.02–0.50 and 0.0–0.5,
with an allelic richness ranging from 1.992 to 1.994 for silicoDArT and 1.862 to 1.889 for
SNP markers. The observed heterozygosity and expected values ranged from 0.50–0.55
and 0.34–0.37, and 0.56–0.57 and 0.33 for both silicoDArT and SNP markers respectively.
Understanding cashew genomics through the application of SilicoDArT and SNP markers
is crucial for advancing cashew genomic breeding programs aimed at improving yield and
nut quality, and enhancing resistance or tolerance to biotic and abiotic stresses. Our study
presents an overview of the genetic diversity of cashew landraces in Kenya and demonstrates that DArT systems are a reliable tool for advancing genomic research in cashew
breeding