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共表达网络揭示了能源作物柳枝稷驯化初期群体转录组的可塑性和稳健性。

Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius.

机构信息

State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Plant Mol Biol. 2018 Aug;97(6):489-506. doi: 10.1007/s11103-018-0754-5. Epub 2018 Jul 13.

Abstract

Coexpression network revealing genes with Co-variation Expression pattern (CE) and those with Top rank of Expression fold change (TE) played different roles in responding to new environment of Miscanthus lutarioriparius. Variation in gene expression level, the product of genetic and/or environmental perturbation, determines the robustness-to-plasticity spectrum of a phenotype in plants. Understanding how expression variation of plant population response to a new field is crucial to domesticate energy crops. Weighted Gene Coexpression Network Analysis (WGCNA) was used to explore the patterns of expression variation based on 72 Miscanthus lutarioriparius transcriptomes from two contrasting environments, one near the native habitat and the other in one harsh domesticating region. The 932 genes with Co-variation Expression pattern (CE) and other 932 genes with Top rank of Expression fold change (TE) were identified and the former were strongly associated with the water use efficiency (r ≥ 0.55, P ≤ 10). Functional enrichment of CE genes were related to three organelles, which well matched the annotation of twelve motifs identified from their conserved noncoding sequence; while TE genes were mostly related to biotic and/or abiotic stress. The expression robustness of CE genes with high genetic diversity kept relatively stable between environments while the harsh environment reduced the expression robustness of TE genes with low genetic diversity. The expression plasticity of CE genes was increased less than that of TE genes. These results suggested that expression variation of CE genes and TE genes could account for the robustness and plasticity of acclimation ability of Miscanthus, respectively. The patterns of expression variation revealed by transcriptomic network would shed new light on breeding and domestication of energy crops.

摘要

基因共表达网络揭示了具有共变化表达模式 (CE) 和具有最高表达倍数变化 (TE) 的基因在响应荻新环境中的不同作用。基因表达水平的变化,是遗传和/或环境干扰的产物,决定了植物表型对可塑性的稳健性范围。了解植物群体的表达变化如何响应新的环境对于驯化能源作物至关重要。加权基因共表达网络分析 (WGCNA) 被用于基于来自两个对比环境的 72 个荻转录组来探索表达变化模式,一个环境接近原生栖息地,另一个环境在一个苛刻的驯化区域。鉴定了 932 个具有共变化表达模式 (CE) 的基因和其他 932 个具有最高表达倍数变化 (TE) 的基因,前者与水分利用效率密切相关 (r≥0.55,P≤10)。CE 基因的功能富集与三个细胞器有关,这与从其保守非编码序列中鉴定出的十二个基序的注释非常匹配;而 TE 基因主要与生物和/或非生物胁迫有关。具有高遗传多样性的 CE 基因的表达稳健性在环境之间相对稳定,而恶劣环境降低了具有低遗传多样性的 TE 基因的表达稳健性。CE 基因的表达可塑性增加小于 TE 基因。这些结果表明,CE 基因和 TE 基因的表达变化可以分别解释荻适应能力的稳健性和可塑性。转录组网络揭示的表达变化模式将为能源作物的培育和驯化提供新的思路。

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