Abstract

Much of Earth's biodiversity has the capacity to engage in dormancy, a reversible state of reduced metabolic activity. By increasing resilience to unfavourable conditions, dormancy leads to the accumulation of 'seed banks'. These reservoirs of genetic and phenotypic diversity should diminish the strength of environmental filtering and increase rates of dispersal. Although prevalent among single-celled organisms, evidence that dormancy influences patterns of microbial biogeography is lacking. We constructed geographical and environmental distance-decay relationships (DDRs) for the total (DNA) and active (RNA) portions of bacterial communities in a regional-scale 16S rRNA survey of forested ponds in Indiana, USA. As predicted, total communities harboured greater diversity and exhibited weaker DDRs than active communities. These observations were robust to random resampling and different community metrics. To evaluate the processes underlying the biogeographic patterns, we developed a platform of mechanistic models that used the geographical coordinates and environmental characteristics of our study system. Based on more than 106 simulations, our models approximated the empirical DDRs when there was strong environmental filtering along with the presence of long-lived seed banks. By contrast, the inclusion of dispersal generally decreased model performance. Together, our findings support recent theoretical predictions that seed banks can influence the biogeographic patterns of microbial communities. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.

Highlights

  • Dormancy is a reversible state of reduced metabolic activity that is exhibited in various forms across the tree of life [1, 2]

  • Study system and environmental data — Between 1950 and 1960, approximately 300 ponds were constructed as wildlife habitat in Brown County State Park (BCSP), Yellowwood State Forest (YSF), and Hoosier National Forest (HNF) in south central Indiana, USA (Fig. 1)

  • We developed a simulation platform to test whether the environmental and geographical distance decay relationship (DDR) observed among ponds can be reproduced by focusing on the influence of environmental filtering, dormancy, and dispersal

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Summary

Introduction

Dormancy is a reversible state of reduced metabolic activity that is exhibited in various forms across the tree of life [1, 2]. Animals, and the microbial life that dominates our planet, many organisms contribute to the collection of dormant individuals known as a seed bank [2,3,4]. Seed banks are often viewed as the outcome of a bet-hedging strategy that allows populations to distribute reproductive effort among long-lived individuals over time [1, 5, 6]. Crucial for understanding the local dynamics of populations and communities [12,13,14], dormancy is historically neglected when attempting to predict and explain patterns of biodiversity

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