Seasonal bacterial niche structures and chemolithoautotrophic ecotypes in a North Atlantic fjord

Abstract Quantifying the temporal change of bacterial communities is essential to understanding how both natural and anthropogenic pressures impact the functions of coastal marine ecosystems. Here we use weekly microbial DNA sampling across four years to show that bacterial phyla have distinct seaso...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Eric J. Raes, Jennifer Tolman, Dhwani Desai, Jenni-Marie Ratten, Jackie Zorz, Brent M. Robicheau, Diana Haider, Julie LaRoche
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2022
Subjects:
R
Q
Online Access:https://doi.org/10.1038/s41598-022-19165-w
https://doaj.org/article/8010b7e79435478b9b5253aa32f3d566
Description
Summary:Abstract Quantifying the temporal change of bacterial communities is essential to understanding how both natural and anthropogenic pressures impact the functions of coastal marine ecosystems. Here we use weekly microbial DNA sampling across four years to show that bacterial phyla have distinct seasonal niches, with a richness peak in winter (i.e., an inverse relationship with daylength). Our results suggest that seasonal fluctuations, rather than the kinetic energy or resource hypotheses, dominated the pattern of bacterial diversity. These findings supplement those from global analyses which lack temporal replication and present few data from winter months in polar and temperate regions. Centered log-ratio transformed data provided new insights into the seasonal niche partitioning of conditionally rare phyla, such as Modulibacteria, Verrucomicrobiota, Synergistota, Deinococcota, and Fermentibacterota. These patterns could not be identified using the standard practice of ASV generation followed by rarefaction. Our study provides evidence that five globally relevant ecotypes of chemolithoautotrophic bacteria from the SUP05 lineage comprise a significant functional group with varying seasonal dominance patterns in the Bedford Basin.