Suppr超能文献

优质小麦品种面筋强度差异的面筋调控网络景观。

The Landscapes of Gluten Regulatory Network in Elite Wheat Cultivars Contrasting in Gluten Strength.

机构信息

Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China.

Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China.

出版信息

Int J Mol Sci. 2023 May 29;24(11):9447. doi: 10.3390/ijms24119447.

Abstract

Yangmai-13 (YM13) is a wheat cultivar with weak gluten fractions. In contrast, Zhenmai-168 (ZM168) is an elite wheat cultivar known for its strong gluten fractions and has been widely used in a number of breeding programs. However, the genetic mechanisms underlying the gluten signatures of ZM168 remain largely unclear. To address this, we combined RNA-seq and PacBio full-length sequencing technology to unveil the potential mechanisms of ZM168 grain quality. A total of 44,709 transcripts were identified in Y13N (YM13 treated with nitrogen) and 51,942 transcripts in Z168N (ZM168 treated with nitrogen), including 28,016 and 28,626 novel isoforms in Y13N and Z168N, respectively. Five hundred and eighty-four differential alternative splicing (AS) events and 491 long noncoding RNAs (lncRNAs) were discovered. Incorporating the sodium-dodecyl-sulfate (SDS) sedimentation volume (SSV) trait, both weighted gene coexpression network analysis (WGCNA) and multiscale embedded gene coexpression network analysis (MEGENA) were employed for network construction and prediction of key drivers. Fifteen new candidates have emerged in association with SSV, including 4 transcription factors (TFs) and 11 transcripts that partake in the post-translational modification pathway. The transcriptome atlas provides new perspectives on wheat grain quality and would be beneficial for developing promising strategies for breeding programs.

摘要

扬麦 13(YM13)是一个面筋分数较弱的小麦品种。相比之下,郑麦 168(ZM168)是一个面筋分数较强的优质小麦品种,已广泛应用于多个育种计划中。然而,ZM168 面筋特征的遗传机制在很大程度上仍不清楚。为了解决这个问题,我们结合 RNA-seq 和 PacBio 全长测序技术,揭示了 ZM168 谷物品质的潜在机制。在 Y13N(用氮处理的 YM13)中鉴定出了 44709 个转录本,在 Z168N(用氮处理的 ZM168)中鉴定出了 51942 个转录本,其中 Y13N 和 Z168N 分别包含 28016 个和 28626 个新的异构体。发现了 584 个差异剪接(AS)事件和 491 个长非编码 RNA(lncRNA)。结合 SDS 沉降体积(SSV)性状,采用加权基因共表达网络分析(WGCNA)和多尺度嵌入基因共表达网络分析(MEGENA)进行网络构建和关键驱动因素预测。与 SSV 相关的出现了 15 个新的候选基因,包括 4 个转录因子(TFs)和 11 个参与翻译后修饰途径的转录本。该转录组图谱为小麦籽粒品质提供了新的视角,并将有助于为育种计划开发有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4d/10253585/a383cbca449b/ijms-24-09447-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验