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全转录组分析和功能预测与粳稻品种耐冷性相关的长非编码 RNA。

Whole-Transcriptome Profiling and Functional Prediction of Long Non-Coding RNAs Associated with Cold Tolerance in Japonica Rice Varieties.

机构信息

Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, China.

出版信息

Int J Mol Sci. 2024 Feb 15;25(4):2310. doi: 10.3390/ijms25042310.

DOI:10.3390/ijms25042310
PMID:38396991
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10889138/
Abstract

Low-temperature chilling is a major abiotic stress leading to reduced rice yield and is a significant environmental threat to food security. Low-temperature chilling studies have focused on physiological changes or coding genes. However, the competitive endogenous RNA mechanism in rice at low temperatures has not been reported. Therefore, in this study, antioxidant physiological indices were combined with whole-transcriptome data through weighted correlation network analysis, which found that the gene modules had the highest correlation with the key antioxidant enzymes superoxide dismutase and peroxidase. The hub genes of the superoxide dismutase-related module included the UDP-glucosyltransferase family protein, sesquiterpene synthase and indole-3-glycerophosphatase gene. The hub genes of the peroxidase-related module included the WRKY transcription factor, abscisic acid signal transduction pathway-related gene plasma membrane hydrogen-ATPase and receptor-like kinase. Therefore, we selected the modular hub genes and significantly enriched the metabolic pathway genes to construct the key competitive endogenous RNA networks, resulting in three competitive endogenous RNA networks of seven long non-coding RNAs regulating three co-expressed messenger RNAs via four microRNAs. Finally, the negative regulatory function of the WRKY transcription factor was determined via subcellular localization and validation of the physiological indices in the mutant.

摘要

低温胁迫是导致水稻减产的主要非生物胁迫因素,也是对粮食安全的重大环境威胁。低温胁迫的研究主要集中在生理变化或编码基因上。然而,低温下水稻的竞争性内源 RNA 机制尚未见报道。因此,本研究通过加权相关网络分析将抗氧化生理指标与全转录组数据相结合,发现基因模块与关键抗氧化酶超氧化物歧化酶和过氧化物酶的相关性最高。超氧化物歧化酶相关模块的枢纽基因包括 UDP-葡萄糖基转移酶家族蛋白、倍半萜合酶和吲哚-3-甘油磷酸酶基因。过氧化物酶相关模块的枢纽基因包括 WRKY 转录因子、脱落酸信号转导途径相关基因质膜氢 -ATP 酶和类受体激酶。因此,我们选择了模块枢纽基因,并对代谢途径基因进行了显著富集,构建了关键的竞争性内源 RNA 网络,最终确定了三个竞争性内源 RNA 网络,由七个长非编码 RNA 通过四个 microRNA 调控三个共表达的信使 RNA。最后,通过亚细胞定位和突变体生理指标的验证,确定了 WRKY 转录因子的负调控功能。

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