Transcriptome sequencing and metabolome analysis to reveal renewal evidence for drought adaptation in mulberry

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Dan Liu, Changyu Qiu, Sheng Huang, Rongli Mo, Xiaomei Lu, Yanrong Zeng, Guangshu Zhu, Chaohua Zhang, Qiang Lin
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Abstract

As an economically important tree species, mulberry (Morus spp.) has exhibited a remarkable tolerance for salinity, drought and heavy metals. However, the precise mechanism of metabolome-mediated drought adaptation is unclear. In this study, two new mulberry varieties—‘drought-sensitive guisangyou62 (GSY62) and highly drought-tolerant guiyou2024 (GY2024)’—after three days (62F or 2024F) and six days (62B or 2024B) of drought–stress conditions were subjected to transcriptome and metabolome analyses. The enrichment analysis demonstrated that the differentially expressed genes (DEGs) were mainly enriched in carbohydrate metabolism, amino acid metabolism, energy metabolism and secondary metabolite biosynthesis under drought–stress conditions. Notably, compared with the CK group (without drought treatment), 60 and 70 DEGs in GY2024 and GSY62 were involved in sucrose and starch biosynthesis, respectively. The genes encoding sucrose phosphate synthase 2 and 4 were downregulated in GY2024, with a lower expression. The genes encoding key enzymes in starch biosynthesis were upregulated in GY2024 and the transcriptional abundance was significantly higher than in GSY62. These results indicated that drought stress reduced sucrose synthesis but accelerated starch synthesis in mulberry.

Abstract Image

转录组测序和代谢组分析揭示桑树适应干旱的更新证据
作为一种重要的经济树种,桑树(Morus spp.)然而,代谢组介导的干旱适应性的确切机制尚不清楚。本研究对两个桑树新品种--"干旱敏感的贵桑优62(GSY62)和高度耐旱的贵优2024(GY2024)"--在干旱胁迫条件下3天(62F或2024F)和6天(62B或2024B)后的转录组和代谢组进行了分析。富集分析表明,在干旱胁迫条件下,差异表达基因(DEGs)主要富集在碳水化合物代谢、氨基酸代谢、能量代谢和次生代谢物生物合成方面。值得注意的是,与 CK 组(未经干旱处理)相比,GY2024 和 GSY62 中分别有 60 和 70 个 DEGs 参与蔗糖和淀粉的生物合成。编码蔗糖磷酸合成酶 2 和 4 的基因在 GY2024 中下调,表达量较低。编码淀粉生物合成关键酶的基因在 GY2024 中上调,转录丰度明显高于 GSY62。这些结果表明,干旱胁迫减少了桑树的蔗糖合成,但加速了淀粉合成。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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