Genome-Wide Identification and Analysis of the Polycomb Group Family in Medicago truncatula.
Genome-Wide Identification and Analysis of the Polycomb Group Family in Medicago truncatula.
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DOI：
10.3390/ijms22147537
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发表时间：
2021-07-14
影响因子：
5.6
通讯作者：
Wu Y
中科院分区：
文献类型：
--
作者：
Zhao Y;Zhang J;Sun Z;Tang Y;Wu Y
多梳族蛋白（Polycomb group，PcG）是一类重要的表观遗传调节因子，在植物生长发育和环境胁迫反应的调控网络中发挥着重要作用。目前，对蒺藜苜蓿中PcG家族的研究还没有全面系统的报道。在本研究中，我们确定了64个PcG基因与不同的基因结构的M。蒺藜基因组PcG基因在8条染色体上分布不均匀，其中26个基因发生了基因重复。蛋白质相互作用网络预测表明，34 M.蒺藜PcG蛋白具有蛋白质间相互作用，MtMSI 1;4和MtVRN 2蛋白质间相互作用最多。基于系统发育分析，我们将来自27个物种的375个PcG蛋白分为3个组和9个亚组。第一组和第三组由PRC 1复合物的5个组分组成，第二组由PRC 2复合物的4个组分组成。此外，我们还发现了M. truncatula与鹰嘴豆中相应蛋白的同源性较高。同线分析表明，PcG蛋白在双子叶植物中进化得比单子叶植物保守。M.蒺藜与大豆共线性关系最密切（36个基因），与3种单子叶植物共线性关系较少（8个基因）。对不同类型表达数据的分析表明，PcG基因参与了M.蒺藜在多个发育阶段，在不同的组织，并为各种环境刺激。同时，从RNA-seq数据中发现了许多差异表达基因，对进一步验证基因功能具有潜在的研究价值。这些发现为M.同时也为今后开展其他豆科植物中PcG家族的相关研究提供参考。
Polycomb group (PcG) proteins, which are important epigenetic regulators, play essential roles in the regulatory networks involved in plant growth, development, and environmental stress responses. Currently, as far as we know, no comprehensive and systematic study has been carried out on the PcG family in Medicago truncatula. In the present study, we identified 64 PcG genes with distinct gene structures from the M. truncatula genome. All of the PcG genes were distributed unevenly over eight chromosomes, of which 26 genes underwent gene duplication. The prediction of protein interaction network indicated that 34 M. truncatula PcG proteins exhibited protein–protein interactions, and MtMSI1;4 and MtVRN2 had the largest number of protein–protein interactions. Based on phylogenetic analysis, we divided 375 PcG proteins from 27 species into three groups and nine subgroups. Group I and Group III were composed of five components from the PRC1 complex, and Group II was composed of four components from the PRC2 complex. Additionally, we found that seven PcG proteins in M. truncatula were closely related to the corresponding proteins of Cicer arietinum. Syntenic analysis revealed that PcG proteins had evolved more conservatively in dicots than in monocots. M. truncatula had the most collinearity relationships with Glycine max (36 genes), while collinearity with three monocots was rare (eight genes). The analysis of various types of expression data suggested that PcG genes were involved in the regulation and response process of M. truncatula in multiple developmental stages, in different tissues, and for various environmental stimuli. Meanwhile, many differentially expressed genes (DEGs) were identified in the RNA-seq data, which had potential research value in further studies on gene function verification. These findings provide novel and detailed information on the M. truncatula PcG family, and in the future it would be helpful to carry out related research on the PcG family in other legumes.
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