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Huan, Youwei, 2020. Co-occurrence network analysis of biogas reactor microbiomes based on metagenomics sequencing data. Second cycle, A2E. Uppsala: SLU, Dept. of Animal Breeding and Genetics (until 231231)



Metagenome sequencing makes it possible to capture microbial communities in their diversity, to investigate population structures and evolutionary relationships, and to predict metabolic functions and interactions within the microbial community and with the environment. Metagenomics thus, significantly expands the research scope of microbiology. Compared with 16S sequencing, metagenome sequencing can get more information of species identification, and in-depth research on gene and function. Metagenome-assembled genomes (MAGs) retrieved from metagenomics data of 20 AD biogas reactors and the respective Illumina sequencing reads were used to create an abundance table and conduct co-occurrence network analysis. A feasible method was designed for making OTU table and network analysis of metagenomics data and some potential clusters were found may connected to the food chain in microbial community.

Main title:Co-occurrence network analysis of biogas reactor microbiomes based on metagenomics sequencing data
Authors:Huan, Youwei
Supervisor:Bongcam Rudloff, Erik and Müller, Bettina
Examiner:Guss, Bengt
Volume/Sequential designation:UNSPECIFIED
Year of Publication:2020
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:VM006 Animal Science - Master's Programme
Supervising department:(VH) > Dept. of Animal Breeding and Genetics (until 231231)
Keywords:Co-occurrence network, Metagenomics, Anaerobic digestion
Permanent URL:
Subject. Use of subject categories until 2023-04-30.:Animal genetics and breeding
Deposited On:13 Nov 2020 11:47
Metadata Last Modified:14 Nov 2020 02:00

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