菌种代谢相互作用网络对真菌培养白蚁肠道菌群木质素纤维素分解系统的破译

IF 1.2 Q3 Computer Science Bio-Algorithms and Med-Systems Pub Date : 2022-08-01 DOI:10.2139/ssrn.4043589
Pritam Kundu, Suman Mondal, Amit Ghosh
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引用次数: 2

摘要

食真菌白蚁Odontotermes badius与白蚁真菌共生,共同分解植物物质,为寄主提供食物来源。互惠关系筛选了白蚁肠道菌群组成和白蚁真菌梳。对O. badius肠道和真菌梳中的共生细菌群落进行了广泛的研究,以确定丰富的细菌及其降解木质纤维素的能力。尽管进行了一些宏基因组研究,但白蚁肠道和真菌梳内细菌群落的全物种代谢相互作用模式仍不清楚。利用从坏芽孢杆菌肠道和真菌梳状菌群中鉴定的230种细菌构建了细菌代谢相互作用网络(BSMIN)。该网络描绘了整个微生物群的代谢图谱,并强调了几种物种间的生化相互作用,如交叉摄食、代谢相互依赖和竞争。此外,细菌影响网络(BIN)的重建和分析量化了白蚁肠道和真菌梳子微生物群落的正负成对影响。通过对BIN的分析,确定了几种关键的大分子降解物和发酵微生物实体。这些有影响力的微生物群体与大分子降解菌产生的关键糖苷水解酶(GH)酶之间的机制相互作用执行了整个群落的木质纤维素降解和随后的发酵功能。通过考虑9种有影响的微生物在合成微生物群落中的生长,确定了它们之间的代谢相互作用模式。竞争(30%)、寄生(47%)和互惠(17%)是该合成微生物群落代谢相互作用的主要模式。此外,发现代谢剥夺条件下的拮抗代谢作用非常高,这可能会破坏群落功能。因此,从O. baddius肠道和真菌梳状菌群中鉴定出的关键细菌物种及其GH酶混合物的代谢相互作用可能为开发具有高效木质纤维素分解机制的合成微观世界提供必要的知识。
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Bacterial species metabolic interaction network for deciphering the lignocellulolytic system in fungal cultivating termite gut microbiota
Fungus-cultivating termite Odontotermes badius developed a mutualistic association with Termitomyces fungi for the plant material decomposition and providing a food source for the host survival. The mutualistic relationship sifted the microbiome composition of the termite gut and Termitomyces fungal comb. Symbiotic bacterial communities in the O. badius gut and fungal comb have been studied extensively to identify abundant bacteria and their lignocellulose degradation capabilities. Despite several metagenomic studies, the species-wide metabolic interaction pattern of bacterial communities in termite gut and fungal comb remains unclear. The bacterial species metabolic interaction network (BSMIN) has been constructed with 230 bacteria identified from the O. badius gut and fungal comb microbiota. The network portrayed the metabolic map of the entire microbiota and highlighted several inter-species biochemical interactions like cross-feeding, metabolic interdependency, and competition. Further, the reconstruction and analysis of the bacterial influence network (BIN) quantified the positive and negative pairwise influences in the termite gut and fungal comb microbial communities. Several key macromolecule degraders and fermentative microbial entities have been identified by analyzing the BIN. The mechanistic interplay between these influential microbial groups and the crucial glycoside hydrolases (GH) enzymes produced by the macromolecule degraders execute the community-wide functionality of lignocellulose degradation and subsequent fermentation. The metabolic interaction pattern between the nine influential microbial species has been determined by considering them growing in a synthetic microbial community. Competition (30%), parasitism (47%), and mutualism (17%) were predicted to be the major mode of metabolic interaction in this synthetic microbial community. Further, the antagonistic metabolic effect was found to be very high in the metabolic-deprived condition, which may disrupt the community functionality. Thus, metabolic interactions of the crucial bacterial species and their GH enzyme cocktail identified from the O. badius gut and fungal comb microbiota may provide essential knowledge for developing a synthetic microcosm with efficient lignocellulolytic machinery.
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来源期刊
Bio-Algorithms and Med-Systems
Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
3
期刊介绍: The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.
期刊最新文献
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