Zhao Nannan, Cui Shunli, Li Xiukun, Liu Bokuan, Deng Hongtao, Liu Yingru, Hou Mingyu, Yang Xinlei, Mu Guojun, Liu Lifeng
State Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Front Genet. 2021 Apr 30;12:672884. doi: 10.3389/fgene.2021.672884. eCollection 2021.
Drought is one of the major abiotic stress factors limiting peanut production. It causes the loss of pod yield during the pod formation stage. Here, one previously identified drought-tolerant cultivar, "L422" of peanut, was stressed by drought (35 ± 5%) at pod formation stage for 5, 7, and 9 days. To analyze the drought effects on peanut, we conducted physiological and transcriptome analysis in leaves under well-watered (CK1, CK2, and CK3) and drought-stress conditions (T1, T2, and T3). By transcriptome analysis, 3,586, 6,730, and 8,054 differentially expressed genes (DEGs) were identified in "L422" at 5 days (CK1 vs T1), 7 days (CK2 vs T2), and 9 days (CK3 vs T3) of drought stress, respectively, and 2,846 genes were common DEGs among the three-time points. Furthermore, the result of weighted gene co-expression network analysis (WGCNA) revealed one significant module that was closely correlated between drought stress and physiological data. A total of 1,313 significantly up-/down-regulated genes, including 61 transcription factors, were identified in the module at three-time points throughout the drought stress stage. Additionally, six vital metabolic pathways, namely, "MAPK signaling pathway-plant," "flavonoid biosynthesis," "starch and sucrose metabolism," "phenylpropanoid biosynthesis," "glutathione metabolism," and "plant hormone signal transduction" were enriched in "L422" under severe drought stress. Nine genes responding to drought tolerance were selected for quantitative real-time PCR (qRT-PCR) verification and the results agreed with transcriptional profile data, which reveals the reliability and accuracy of transcriptome data. Taken together, these findings could lead to a better understanding of drought tolerance and facilitate the breeding of drought-resistant peanut cultivars.
干旱是限制花生产量的主要非生物胁迫因素之一。它会导致花生在结荚期减产。在此,我们选取了之前鉴定出的一个耐旱花生品种“L422”,在结荚期对其进行干旱胁迫(35±5%)处理5天、7天和9天。为了分析干旱对花生的影响,我们在正常浇水(CK1、CK2和CK3)和干旱胁迫条件(T1、T2和T3)下对叶片进行了生理和转录组分析。通过转录组分析,在干旱胁迫5天(CK1 vs T1)、7天(CK2 vs T2)和9天(CK3 vs T3)时,“L422”中分别鉴定出3586个、6730个和8054个差异表达基因(DEG),其中有2846个基因是三个时间点共有的差异表达基因。此外,加权基因共表达网络分析(WGCNA)结果显示有一个显著模块与干旱胁迫和生理数据密切相关。在整个干旱胁迫阶段的三个时间点,该模块共鉴定出1313个显著上调/下调基因,其中包括61个转录因子。此外,在严重干旱胁迫下,“L422”中富集了六个重要的代谢途径,即“植物丝裂原活化蛋白激酶(MAPK)信号通路”、“类黄酮生物合成”、“淀粉和蔗糖代谢”、“苯丙烷生物合成”、“谷胱甘肽代谢”和“植物激素信号转导”。我们选择了9个响应耐旱性的基因进行定量实时PCR(qRT-PCR)验证,结果与转录组数据一致,这揭示了转录组数据的可靠性和准确性。综上所述,这些发现有助于更好地理解花生的耐旱性,并促进耐旱花生品种的培育。