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系统生物学方法鉴定了与微藻从自养到异养生长条件转变后次生代谢产物积累相关的功能模块和调控枢纽。

Systems biology approach identifies functional modules and regulatory hubs related to secondary metabolites accumulation after transition from autotrophic to heterotrophic growth condition in microalgae.

机构信息

Department of Genomics, Branch for Northwest & West Region, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran.

Department of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.

出版信息

PLoS One. 2020 Feb 21;15(2):e0225677. doi: 10.1371/journal.pone.0225677. eCollection 2020.

DOI:10.1371/journal.pone.0225677
PMID:32084664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7035001/
Abstract

Heterotrophic growth mode is among the most promising strategies put forth to overcome the low biomass and secondary metabolites productivity challenge. To shedding light on the underlying molecular mechanisms, transcriptome meta-analysis was integrated with weighted gene co-expression network analysis (WGCNA), connectivity analysis, functional enrichment, and hubs identification. Meta-analysis and Functional enrichment analysis demonstrated that most of the biological processes are up-regulated at heterotrophic growth condition, which leads to change of genetic architectures and phenotypic outcomes. WGNCA analysis of meta-genes also resulted four significant functional modules across logarithmic (LG), transition (TR), and production peak (PR) phases. The expression pattern and connectivity characteristics of the brown module as a non-preserved module vary across LG, TR, and PR phases. Functional analysis identified Carotenoid biosynthesis, Fatty acid metabolism and Methane metabolism as enriched pathways in the non-preserved module. Our integrated approach was applied here, identified some hubs, such as a serine hydroxymethyltransferase (SHMT1), which is the best candidate for development of metabolites accumulating strains in microalgae. Current study provided a new insight into underlying metabolite accumulation mechanisms and opens new avenue for the future applied studies in the microalgae field.

摘要

异养生长模式是克服低生物量和次生代谢产物生产力挑战最有前途的策略之一。为了阐明潜在的分子机制,我们将转录组元分析与加权基因共表达网络分析(WGCNA)、连通性分析、功能富集和枢纽识别相结合。元分析和功能富集分析表明,大多数生物学过程在异养生长条件下上调,这导致遗传结构和表型结果的改变。元基因的 WGNCA 分析还在对数(LG)、过渡(TR)和生产高峰期(PR)阶段产生了四个显著的功能模块。棕色模块作为一个非保守模块的表达模式和连通性特征在 LG、TR 和 PR 阶段有所不同。功能分析确定类胡萝卜素生物合成、脂肪酸代谢和甲烷代谢为非保守模块中富集的途径。我们在这里应用了综合方法,鉴定了一些枢纽基因,如丝氨酸羟甲基转移酶 1(SHMT1),它是在微藻中开发积累代谢物菌株的最佳候选基因。本研究为潜在的代谢物积累机制提供了新的见解,并为微藻领域未来的应用研究开辟了新的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bd9/7035001/da365a2bd184/pone.0225677.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bd9/7035001/55c47633c2f4/pone.0225677.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bd9/7035001/10bbfc3044cc/pone.0225677.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bd9/7035001/02fa61696722/pone.0225677.g003.jpg
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