2020
DOI: 10.1111/1755-0998.13126
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Investigating microbial associations from sequencing survey data with co‐correspondence analysis

Abstract: Microbial communities, which drive major ecosystem functions, consist of a wide range of interacting species. Understanding how microbial communities are structured and the processes underlying this is crucial to interpreting ecosystem responses to global change but is challenging as microbial interactions cannot usually be directly observed. Multiple efforts are currently focused to combine next‐generation sequencing (NGS) techniques with refined statistical analysis (e.g., network analysis, multivariate anal… Show more

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Cited by 6 publications
(4 citation statements)
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References 107 publications
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“…In addition, to test if the two microbial communities (i.e. water and guts) varied independently, we performed separate symmetric co-correspondence analyses (using the relative abundance of reads) for each sampling period using the cocorresp package (Simpson 2009), following Alric et al (2020).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In addition, to test if the two microbial communities (i.e. water and guts) varied independently, we performed separate symmetric co-correspondence analyses (using the relative abundance of reads) for each sampling period using the cocorresp package (Simpson 2009), following Alric et al (2020).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…CoCA was performed on microbial and viral relative abundance profiles using the cocorresp package in symmetric mode. Significance and degree of covariance were computed and the ordination biplots were visualized using a method described previously by Alric et al (86). All permutation-based tests were conducted with 999 iterations.…”
Section: Prediction and Analysis Of Viral Scaffolds A Schematic Illustration Of Analyses Conducted Can Be Found Inmentioning
confidence: 99%
“…CoCA was performed on microbial and viral relative abundance profiles using the cocorresp package in both symmetric and predictive modes. Significance and degree of covariance in symmetric mode were computed, and the ordination biplots were visualized using a method described previously by Alric et al ( 85 ). All permutation-based tests were conducted with 999 iterations.…”
Section: Methodsmentioning
confidence: 99%