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<p>Mulberry leaf quality is a critical factor in silkworm rearing. Although various molecular markers have been utilized to evaluate genetic diversity in mulberry, there is still substantial potential to further investigate its genetic resources. In this study, 216 materials were investigated. Six characteristics -leaf length (LL), leaf width (LW), leaf length–width ratio (LLWR) and leaf mass (LM), selenium content (Se) and 1-Deoxynojirimycin content (1-DNJ)-were phenotyped and genotyped using 23 DNA markers. The&#xa0;Se had the highest coefficient of variation reaching 73.29%, while LLWR had the lowest coefficient of variation at 14.29%. There was significant correlation between the other five measures excluding 1-DNJ. A genotyping assessment based on simple sequence repeats (SSR) markers revealed a total of 180 alleles with an average of 0.72 per locus, an average <i>H</i><sub><i>o</i></sub> value of 0.83, an average PIC value of 0.68 and an average <i>I</i> value of 1.53. Clustering based on unweighted pair group method with arithmetic average&#xa0;(UPGMA) cluster analysis grouped cultivars into seven groups. This result was consistent with that obtained from the population structure analysis, although there were some minor differences in mulberry cultivar in each group. We identified that four loci were significantly correlated LLRW, LM, Se and 1-DNJ using the mixed linear model (MLM) with Bonferroni correction. A marker was associated with traits related to multiple phenotypes. Loci100 was simultaneously associated with multiple traits (LW, LL, LM). Loci09 was associated with LLWR and Se, and loci159, loci172 were associated with LW and LL. Our findings could be highly useful for mulberry community worldwide as it could be utilized in mulberry breeding programs.</p>

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Determination of gene association analysis of some leaf traits in mulberries using simple sequence repeat (SSR) markers

  • 期刊论文

  • 发表日期：

    2025年6月18日

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  • Ting Lv,
  • Gang Meng,
  • Anli Chen,
  • Jun Ling,
  • Zewei Ma

摘要

Mulberry leaf quality is a critical factor in silkworm rearing. Although various molecular markers have been utilized to evaluate genetic diversity in mulberry, there is still substantial potential to further investigate its genetic resources. In this study, 216 materials were investigated. Six characteristics -leaf length (LL), leaf width (LW), leaf length–width ratio (LLWR) and leaf mass (LM), selenium content (Se) and 1-Deoxynojirimycin content (1-DNJ)-were phenotyped and genotyped using 23 DNA markers. The Se had the highest coefficient of variation reaching 73.29%, while LLWR had the lowest coefficient of variation at 14.29%. There was significant correlation between the other five measures excluding 1-DNJ. A genotyping assessment based on simple sequence repeats (SSR) markers revealed a total of 180 alleles with an average of 0.72 per locus, an average Ho value of 0.83, an average PIC value of 0.68 and an average I value of 1.53. Clustering based on unweighted pair group method with arithmetic average (UPGMA) cluster analysis grouped cultivars into seven groups. This result was consistent with that obtained from the population structure analysis, although there were some minor differences in mulberry cultivar in each group. We identified that four loci were significantly correlated LLRW, LM, Se and 1-DNJ using the mixed linear model (MLM) with Bonferroni correction. A marker was associated with traits related to multiple phenotypes. Loci100 was simultaneously associated with multiple traits (LW, LL, LM). Loci09 was associated with LLWR and Se, and loci159, loci172 were associated with LW and LL. Our findings could be highly useful for mulberry community worldwide as it could be utilized in mulberry breeding programs.