Senn, S.; Bhattacharyya, S.; Presley, G.; Taylor, A.E.; Nash, B.; Enke, R.A.; Barnard-Kubow, K.B.; Ford, J.; Jasinski, B.; Badalova, Y. The Functional Biogeography of eDNA Metacommunities in the Post-Fire Landscape of the Angeles National Forest. Microorganisms2022, 10, 1218.
Senn, S.; Bhattacharyya, S.; Presley, G.; Taylor, A.E.; Nash, B.; Enke, R.A.; Barnard-Kubow, K.B.; Ford, J.; Jasinski, B.; Badalova, Y. The Functional Biogeography of eDNA Metacommunities in the Post-Fire Landscape of the Angeles National Forest. Microorganisms 2022, 10, 1218.
Senn, S.; Bhattacharyya, S.; Presley, G.; Taylor, A.E.; Nash, B.; Enke, R.A.; Barnard-Kubow, K.B.; Ford, J.; Jasinski, B.; Badalova, Y. The Functional Biogeography of eDNA Metacommunities in the Post-Fire Landscape of the Angeles National Forest. Microorganisms2022, 10, 1218.
Senn, S.; Bhattacharyya, S.; Presley, G.; Taylor, A.E.; Nash, B.; Enke, R.A.; Barnard-Kubow, K.B.; Ford, J.; Jasinski, B.; Badalova, Y. The Functional Biogeography of eDNA Metacommunities in the Post-Fire Landscape of the Angeles National Forest. Microorganisms 2022, 10, 1218.
Abstract
Wildfires have continued to increase in frequency and severity in Southern California due in part to climate change. To gain a further understanding of microbial soil communities’ response to fire and functions that may enhance post-wildfire resilience, soil fungal and bacterial microbiomes were studied from different wildfire areas in the Gold Creek Preserve within the Angeles National Forest using 16S, FITS, 18S, 12S, PITS, and CO1 amplicon sequencing. Sequencing datasets from December 2020 and June 2021 samplings were analyzed using DNA Subway, ranacapa, stats, vcd, EZBioCloud, and mixomics. Significant differences were found among bacterial and fungal taxa associated with different fire areas in the Gold Creek Preserve. There was evidence of seasonal shifts in the alpha diversity of the bacterial communities. In the sparse partial least squares analysis, there were strong associations (r>0.8) between longitude, elevation, and a defined cluster of Amplicon Sequence Variants (ASVs). The Chi-square test revealed differences in fungi:bacteria (F:B) proportions between different trails (p=2*10^-16). sPLS results focused on a cluster of Green Trail samples with high elevation and longitude. Analysis revealed the cluster included the post-fire pioneer fungi Pyronema, and Tremella. Chlorellales algae, and pathogenic Fusarium sequences were elevated. Bacterivorous Corallococcus, which secretes antimicrobials, and bacterivorous flagellate Spumella, were associated with the cluster. There was functional redundancy in clusters that were differently composed, but shared similar ecological functions. These results implied a set of traits for post fire resiliency. These included photo-autotrophy, mineralization of pyrolyzed organic matter and aromatic/oily compounds, pathogenicity and parasitism, antimicrobials, and N-metabolism.
Keywords
molecular ecology; functional diversity; DNA sequencing
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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