哪有情可长 (2023-12-30 19:00):
#paper Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks, Nature Communications, 18 November 2023, https://doi.org/10.1038/s41467-023-43077-6 。利用转录组和全基因组关联分析鉴定控制水稻穗型结构的基因。研究人员利用275份水稻1-2mm幼穗转录组数据,鉴定出表达水平与性状相关的基因,后续又对鉴定到的显著的基因和受小效应位点影响,对等位基因差异选择影响基因的表达和穗部性状,后续利用顺式表达成分和和反式表达成分来构建了水稻穗发育的基因表达调控网络。
IF:14.700Q1 Nature communications, 2023-Nov-18. DOI: 10.1038/s41467-023-43077-6 PMID: 37980346
Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks
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Abstract:
Panicle architecture is a key determinant of rice grain yield and is mainly determined at the 1-2 mm young panicle stage. Here, we investigated the transcriptome of the 1-2 mm young panicles from 275 rice varieties and identified thousands of genes whose expression levels were associated with panicle traits. Multimodel association studies suggested that many small-effect genetic loci determine spikelet per panicle (SPP) by regulating the expression of genes associated with panicle traits. We found that alleles at cis-expression quantitative trait loci of SPP-associated genes underwent positive selection, with a strong preference for alleles increasing SPP. We further developed a method that integrates the associations of cis- and trans-expression components of genes with traits to identify causal genes at even small-effect loci and construct regulatory networks. We identified 36 putative causal genes of SPP, including SDT (MIR156j) and OsMADS17, and inferred that OsMADS17 regulates SDT expression, which was experimentally validated. Our study reveals the impact of regulatory variants on rice panicle architecture and provides new insights into the gene regulatory networks of panicle traits.
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