Transcriptome‐wide expression landscape and starch synthesis pathway co‐expression network in sorghum

Zhenbin Hu, Junhao Chen, Marcus O. Olatoye, Hengyou Zhang, Zhenguo Lin
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Abstract

The gene expression landscape across different tissues and developmental stages reflects their biological functions and evolutionary patterns. Integrative and comprehensive analyses of all transcriptomic data in an organism are instrumental to obtaining a comprehensive picture of gene expression landscape. Such studies are still very limited in sorghum, which limits the discovery of the genetic basis underlying complex agricultural traits in sorghum. We characterized the genome‐wide expression landscape for sorghum using 873 RNA‐sequencing (RNA‐seq) datasets representing 19 tissues. Our integrative analysis of these RNA‐seq data provides the most comprehensive transcriptomic atlas for sorghum, which will be valuable for the sorghum research community for functional characterizations of sorghum genes. Based on the transcriptome atlas, we identified 595 housekeeping genes (HKGs) and 2080 tissue‐specific expression genes (TEGs) for the 19 tissues. We identified different gene features between HKGs and TEGs, and we found that HKGs have experienced stronger selective constraints than TEGs. Furthermore, we built a transcriptome‐wide co‐expression network (TW‐CEN) comprising 35 modules with each module enriched in specific Gene Ontology terms. High‐connectivity genes in TW‐CEN tend to express at high levels while undergoing intensive selective pressure. We also built global and seed‐preferential co‐expression networks of starch synthesis pathways, which indicated that photosynthesis and microtubule‐based movement play important roles in starch synthesis. The global transcriptome atlas of sorghum generated by this study provides an important functional genomics resource for trait discovery and insight into starch synthesis regulation in sorghum.
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高粱全转录组表达格局和淀粉合成途径共表达网络
不同组织和发育阶段的基因表达图谱反映了它们的生物学功能和进化模式。对生物体内所有转录组数据进行综合全面的分析,有助于全面了解基因表达格局。在高粱中,此类研究仍然非常有限,这限制了对高粱复杂农业性状遗传基础的发现。我们利用代表 19 种组织的 873 个 RNA 序列(RNA-seq)数据集描述了高粱的全基因组表达图谱。我们对这些 RNA-seq 数据的综合分析为高粱提供了最全面的转录组图谱,对高粱研究界了解高粱基因的功能特征具有重要价值。根据转录组图谱,我们为 19 种组织鉴定了 595 个看家基因(HKGs)和 2080 个组织特异性表达基因(TEGs)。我们发现了 HKGs 和 TEGs 的不同基因特征,并发现 HKGs 比 TEGs 受到了更强的选择性限制。此外,我们还建立了一个转录组范围的共表达网络(TW-CEN),该网络由 35 个模块组成,每个模块都富含特定的基因本体术语。TW-CEN中的高连接性基因倾向于高水平表达,同时承受密集的选择压力。我们还构建了淀粉合成途径的全局和种子偏好共表达网络,表明光合作用和基于微管的运动在淀粉合成中发挥着重要作用。本研究生成的高粱全球转录组图谱为发现高粱性状和深入了解高粱的淀粉合成调控提供了重要的功能基因组学资源。
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