Scholarlink

<p>Anti-nutritional factors (ANFs) can reduce nutrient bioavailability for monogastric animals. Therefore, this study aimed to understand the genetic architecture underlying ANF accumulation in soybean. Diversity arrays technology and a spectrophotometric method were employed to generate genotypic and phenotypic data, respectively, and gene mining was performed within 100-kb genomic window. A significant difference was found regarding ANFs content in the genotypes (<i>p</i> &lt; 0.001). Significant SNP markers for phytate were identified on chromosomes 3, 4, 13, and 20 by FarmCPU, and for total trypsin inhibitors (TTI) on 6, 12, and 14 by CMLM models, whereas mrMLM model detected markers on chromosome 3, 12 and 15 for phytate, 4, 9, 13, 17 and 18 for TTI. Genes associated with phytate content include <i>Glyma.03G001600, Glyma.04G194600</i>, <i>Glyma.13G128200, Glyma.20G118700, Glyma.14G213400, and Glyma.16G126400.</i> For TTI, the genes are <i>Glyma.06G074700, Glyma.12G241600, Glyma.14G176700, Glyma.13G052700, and Glyma.18G050400</i>. These genes are primarily linked to plant defense and substrate interactions. Most promising SNP markers for marker-assisted selection aimed at reducing phytate levels include Soy_3_218818 (218,818&#xa0;bp), Soy_3_241209 (241,209&#xa0;bp), Soy_4_45462019 (45,462,019&#xa0;bp), Soy_14_48672982 (48,672,982&#xa0;bp), and Soy_6_5695090 (5,695,090&#xa0;bp). For TTI, key markers include Soy_14_43649238 (43,649,238&#xa0;bp), Soy_12_41339023 (41,339,023&#xa0;bp), Soy_18_4301721 (4,301,721&#xa0;bp), and Soy_13_14029215 (14,029,215&#xa0;bp). These findings offer a valuable foundation for marker-assisted breeding aimed at improving soybean nutritional quality.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Unraveling the genetic architecture of anti-nutritional factors in soybean (Glycine max.) for nutritional enhancement

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月28日

查看全文
  • Norberto Jose Palange,
  • Tonny Obua,
  • Julius Pyton Sserumaga,
  • Enoch Wembabazi,
  • Mildred Ochwo-Ssemakula,
  • Emmanuel Amponsah Adjei,
  • Isaac Onziga Dramadri,
  • Richard Edema,
  • Moses Matovu,
  • Sharon Valerie Kweyu,
  • Arfang Badji,
  • Ephraim Nuwamanya,
  • Phinehas Tukamuhabwa

摘要

Anti-nutritional factors (ANFs) can reduce nutrient bioavailability for monogastric animals. Therefore, this study aimed to understand the genetic architecture underlying ANF accumulation in soybean. Diversity arrays technology and a spectrophotometric method were employed to generate genotypic and phenotypic data, respectively, and gene mining was performed within 100-kb genomic window. A significant difference was found regarding ANFs content in the genotypes (p < 0.001). Significant SNP markers for phytate were identified on chromosomes 3, 4, 13, and 20 by FarmCPU, and for total trypsin inhibitors (TTI) on 6, 12, and 14 by CMLM models, whereas mrMLM model detected markers on chromosome 3, 12 and 15 for phytate, 4, 9, 13, 17 and 18 for TTI. Genes associated with phytate content include Glyma.03G001600, Glyma.04G194600, Glyma.13G128200, Glyma.20G118700, Glyma.14G213400, and Glyma.16G126400. For TTI, the genes are Glyma.06G074700, Glyma.12G241600, Glyma.14G176700, Glyma.13G052700, and Glyma.18G050400. These genes are primarily linked to plant defense and substrate interactions. Most promising SNP markers for marker-assisted selection aimed at reducing phytate levels include Soy_3_218818 (218,818 bp), Soy_3_241209 (241,209 bp), Soy_4_45462019 (45,462,019 bp), Soy_14_48672982 (48,672,982 bp), and Soy_6_5695090 (5,695,090 bp). For TTI, key markers include Soy_14_43649238 (43,649,238 bp), Soy_12_41339023 (41,339,023 bp), Soy_18_4301721 (4,301,721 bp), and Soy_13_14029215 (14,029,215 bp). These findings offer a valuable foundation for marker-assisted breeding aimed at improving soybean nutritional quality.