Genome-Wide Association Studies Using 3VmrMLM Model Provide New Insights into Branched-Chain Amino Acid Contents in Rice Grains.
3VmrMLMモデルを用いたゲノムワイド関連解析によるイネ種子の分岐鎖アミノ酸含量に関する新たな知見 (機械翻訳の邦題)
記録の確認項目
- 研究デザイン
- その他の原著論文
- 対象
- 未確定
- 出版年
- 2023
- 出典
- doi.org
- 抄録の表示
- 表示あり
- 出版状態
- 有効な記録
- 状態確認日
- 2026/08/17
- 収集日
- 2026/08/03
- 鮮度
- 確認期限内
- 確認段階
- 自動処理
- 記録状態
- 公開
日本語要約(機械生成)
イネは世界の主要な食料であり、その栄養品質の一つである分岐鎖アミノ酸(BCAA)含量の遺伝的機構は不明な点が多い。本研究では、422のイネ品種からなる多様なパネルを用いて、BCAA含量と239,055 SNPsのデータを3VmrMLMモデルによるGWASで解析した。その結果、15のデータセットから357のBCAA含量関連の主効果QTNを同定し、イソロイシン含量に関わる新規候補遺伝子LOC_Os01g52530とLOC_Os06g15420の対立遺伝子変異を特定した。また、QTNと環境の相互作用(QEI)を53個、QTN間の相互作用(QQI)を10個検出し、それぞれに関連する候補遺伝子を推定した。これらの結果は、3VmrMLMモデルのGWASへの応用がBCAA蓄積機構の理解を深め、高BCAAイネの遺伝的改良の標的を提供することを示す。
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抄録
Rice (Oryza sativa L.) is a globally important food source providing carbohydrates, amino acids, and dietary fiber for humans and livestock. The branched-chain amino acid (BCAA) level is a complex trait related to the nutrient quality of rice. However, the genetic mechanism underlying the BCAA (valine, leucine, and isoleucine) accumulation in rice grains remains largely unclear. In this study, the grain BCAA contents and 239,055 SNPs of a diverse panel containing 422 rice accessions were adopted to perform a genome-wide association study (GWAS) using a recently proposed 3VmrMLM model. A total of 357 BCAA-content-associated main-effect quantitative trait nucleotides (QTNs) were identified from 15 datasets (12 BCAA content datasets and 3 BLUP datasets of BCAA). Furthermore, the allelic variation of two novel candidate genes, LOC_Os01g52530 and LOC_Os06g15420, responsible for the isoleucine (Ile) content alteration were identified. To reveal the genetic basis of the potential interactions between the gene and environmental factor, 53 QTN-by-environment interactions (QEIs) were detected using the 3VmrMLM model. The LOC_Os03g24460, LOC_Os01g55590, and LOC_Os12g31820 were considered as the candidate genes potentially contributing to the valine (Val), leucine (Leu), and isoleucine (Ile) accumulations, respectively. Additionally, 10 QTN-by-QTN interactions (QQIs) were detected using the 3VmrMLM model, which were putative gene-by-gene interactions related to the Leu and Ile contents. Taken together, these findings suggest that the implementation of the 3VmrMLM model in a GWAS may provide new insights into the deeper understanding of BCAA accumulation in rice grains. The identified QTNs/QEIs/QQIs serve as potential targets for the genetic improvement of rice with high BCAA levels.
DOI 10.3390/plants12162970
PMID 37631180
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