4.3 Article

Bacterial species metabolic interaction network for deciphering the lignocellulolytic system in fungal cultivating termite gut microbiota

期刊

BIOSYSTEMS
卷 221, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2022.104763

关键词

Bacterial communities; Microbiota; Metabolic interaction; Bacterial influence network; Synthetic microbial community; Lignocellulose degradation

资金

  1. Department of Science and Technology-GoI [CRG/2020/002080]
  2. Department of Biotechnology-GoI [BT/PR37958/GET/119/297/2020]
  3. Scheme for Promotion of Academic and Research Collaboration (SPARC), MHRD-GoI [SPARC/2018-2019/P265/SL]
  4. Tata Consultancy Services (TCS)
  5. Ministry of New and Renewable Energy (MNRE-GoI)

向作者/读者索取更多资源

The fungus-cultivating termite Odontotermes badius has a mutualistic association with Termitomyces fungi for plant material decomposition, with the microbial symbiotic relationships influencing community-wide lignocellulose degradation functionality. The metabolic interactions and influence networks among the bacterial species in the termite gut and fungal comb have been studied to identify key players in the degradation process. Competition, parasitism, and mutualism were predicted to be the major modes of metabolic interaction within a synthetic microbial community, with the crucial bacterial species and their glycoside hydrolase enzymes playing a significant role in maintaining efficient lignocellulolytic machinery.
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 com-munities 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 patterns 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 mi-crobial 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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