A quantitative framework reveals ecological drivers of grassland microbial community assembly in response to warming

Unraveling the drivers controlling community assembly is a central issue in ecology. Although it is generally accepted that selection, dispersal, diversification and drift are major community assembly processes, defining their relative importance is very challenging. Here, we present a framework to quantitatively infer community assembly mechanisms by phylogenetic bin-based null model analysis (iCAMP). iCAMP shows high accuracy (0.93-0.99), precision (0.80-0.94), sensitivity (0.82-0.94), and specificity (0.95-0.98) on simulated communities, which are 10-160% higher than those from the entire community-based approach. Application of iCAMP to grassland microbial communities in response to experimental warming…

• NS
  National Science Foundation

  Awards: 1065844, DE-AC02-05CH11231, EF-1065844
• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, 05CH11231, DE-SC0010715, SC0016247, AC02-05CH11231, DE-AC02, DE-AC02-05CH11231, DE-SC0020163, DE-SC0014079, DE-SC0016247, DE-AC02-
• NS
  National Sleep Foundation

  Award: EF-2025558
• OO
  Office of Science

  Awards: DE-SC0014079, AC02-05CH11231, -AC02-05CH11231, DE-AC02, DE-SC0010715
• BA
  Biological and Environmental Research

  Awards: 05CH11231, DE-SC0010715, SC0016247, DE-SC0020163, SC0020163, DE-SC0016247, DE-AC02-05CH11231, AC02-05CH11231, DE-SC0014079
• LB
  Lawrence Berkeley National Laboratory

  Awards: DE-AC02-05CH11231, 05CH11231, AC02-05CH11231