ArticleJournal of advanced research2026
Silk_40K SNP array facilitates the genomic prediction of complex traits in silkworm (Bombyx mori).
Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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10 authors.
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Abstract
introductionIt is highly attractive to use silkworms producing natural fibres with excellent properties and insect-based nutrients on a large scale. Traits related to these often have complex genetic bases. Genomic selection (GS) has exhibited high efficiency in improving complex traits. However, for silkworm, there is a lack of low-cost, high-throughput genotyping tools, and the effectiveness of GS has yet to be studied.
objectiveTo develop a genome-wide SNP chip, evaluate its genotyping capabilities and potential applications in genetic analysis and genomic selection of complex traits in silkworm.
methodsWe designed the Silk_40K array containing 41,887 SNPs. Two backcross (BC
resultsThe SNPs of Silk_40K array evenly distributed across the genome. The calling ratio reached 94.01 % across different samples, with an average polymorphism rate of 37.42 %. We identified 61 QTLs associated with silk yield, and two novel genes BmOCIAD1 and BmCOPB2 within the QTL of cocoon shell ratio (CSR) on chromosome 1. Knockout of BmOCIAD1 significantly increased cocoon shell weight (CSW) by 36.36 % (females) and 50.00 % (males), and CSR by 19.17 % (females) and 13.49 % (males). Silk_40K also showed a high genomic predictive ability in both BC
conclusionsSilk_40K array is the first whole-genome SNP chip for silkworm. Based on this, two new genes controlling silk yield were identified, providing new insights into the genetic architecture of silk yield. We also demonstrated for the first time that genomic selection may achieve high efficiency in selecting for complex traits in silkworms.
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