Fan Xinyu, Lin Beijia, Yin Yahong, Zong Yu, Li Yongqiang, Zhu Youyin, Guo Weidong
College of Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
Zhejiang Provincial Key Laboratory of Biotechnology on Specialty Economic Plants, Zhejiang Normal University, Jinhua 321004, China.
Plants (Basel). 2024 Dec 17;13(24):3528. doi: 10.3390/plants13243528.
Blueberry plants are among the most important fruit-bearing shrubs, but they have shallow, hairless roots that are not conducive to water and nutrient uptake, especially under drought conditions. Therefore, the mechanism underlying blueberry root drought tolerance should be clarified. Hence, we established a yeast expression library comprising blueberry genes associated with root responses to drought stress. High-throughput sequencing technology enabled the identification of 1475 genes potentially related to drought tolerance. A subsequent KEGG enrichment analysis revealed 77 key genes associated with six pathways: carbon and energy metabolism, biosynthesis of secondary metabolites, nucleotide and amino acid metabolism, genetic information processing, signal transduction, and material transport and catabolism. Metabolomic profiling of drought-tolerant yeast strains under drought conditions detected 1749 differentially abundant metabolites (DAMs), including several up-regulated metabolites (organic acids, amino acids and derivatives, alkaloids, and phenylpropanoids). An integrative analysis indicated that genes encoding several enzymes, including , , , and , modulate key carbon metabolism-related metabolites, including D-glucose 6-phosphate and β-D-fructose 6-phosphate. Additionally, genes encoding and were implicated in terpenoid and phenylalanine biosynthesis, which affected metabolite contents (e.g., farnesylcysteine and tyrosine). Furthermore, genes for and , along with eight DAMs, including L-γ-glutamylcysteine and L-ornithine, contributed to amino acid metabolism, while genes encoding and were linked to purine metabolism, thereby affecting certain metabolites (e.g., inosine and 3',5'-cyclic GMP). Overall, the yeast functional screening system used in this study effectively identified genes and metabolites influencing blueberry root drought tolerance, offering new insights into the associated molecular mechanisms.
蓝莓植株是最重要的结果灌木之一,但它们的根系浅且无毛,不利于水分和养分吸收,尤其是在干旱条件下。因此,应阐明蓝莓根系耐旱的机制。为此,我们建立了一个酵母表达文库,其中包含与蓝莓根系对干旱胁迫反应相关的基因。高通量测序技术使我们能够鉴定出1475个可能与耐旱性相关的基因。随后的KEGG富集分析揭示了77个与六个途径相关的关键基因:碳和能量代谢、次生代谢物生物合成、核苷酸和氨基酸代谢、遗传信息处理、信号转导以及物质运输和分解代谢。对耐旱酵母菌株在干旱条件下的代谢组分析检测到1749种差异丰富的代谢物(DAM),包括几种上调的代谢物(有机酸、氨基酸及其衍生物、生物碱和苯丙烷类)。综合分析表明,编码几种酶(包括 、 、 和 )的基因调节关键的碳代谢相关代谢物,包括6-磷酸-D-葡萄糖和6-磷酸-β-D-果糖。此外,编码 和 的基因参与萜类和苯丙氨酸生物合成,影响代谢物含量(如法尼基半胱氨酸和酪氨酸)。此外, 和 的基因以及八种DAM(包括L-γ-谷氨酰半胱氨酸和L-鸟氨酸)参与氨基酸代谢,而编码 和 的基因与嘌呤代谢相关,从而影响某些代谢物(如次黄苷和3',5'-环鸟苷酸)。总体而言,本研究中使用的酵母功能筛选系统有效地鉴定了影响蓝莓根系耐旱性的基因和代谢物,为相关分子机制提供了新的见解。