Stochastic Assembly Leads to Alternative Communities with Distinct Functions in a Bioreactor Microbial Community DOI Creative Commons
Jizhong Zhou, Wenzong Liu,

Ye Deng

et al.

mBio, Journal Year: 2013, Volume and Issue: 4(2)

Published: March 6, 2013

ABSTRACT The processes and mechanisms of community assembly its relationships to functioning are central issues in ecology. Both deterministic stochastic factors play important roles shaping composition structure, but the connection between ecosystem remains elusive, especially microbial communities. Here, we used electrolysis cell reactors as a model system examine determining structure functions. Under identical environmental conditions with same source community, ecological drift (i.e., initial colonization) subsequent biotic interactions created dramatically different communities little overlap among 14 reactors, indicating that played dominant structure. Neutral modeling analysis revealed also significant these reactors. Most importantly, newly formed differed substantially functions (e.g., H 2 production), which showed strong linkages This study is first demonstrate plays role not only Elucidating links assembly, biodiversity, critical understanding functioning, biodiversity preservation, management. IMPORTANCE Microorganisms most diverse group life known on earth. Although it well documented natural extremely high, clear why such high diversity generated maintained. Numerous studies have established niche-based pH, temperature, salt) importance generating rarely appreciated. Moreover, while microorganisms mediate many processes, relationship largely elusive. Using well-controlled laboratory system, this provides empirical support for creating variations explicit evidence influencing functioning. results presented represent contributions mechanisms, involved biodiversity.

Language: Английский

Human nutrition, the gut microbiome and the immune system DOI
Andrew L. Kau, Philip P. Ahern, Nicholas W. Griffin

et al.

Nature, Journal Year: 2011, Volume and Issue: 474(7351), P. 327 - 336

Published: June 14, 2011

Language: Английский

Citations

2420

Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist DOI Open Access
Marti J. Anderson,

Thomas O. Crist,

Jonathan M. Chase

et al.

Ecology Letters, Journal Year: 2010, Volume and Issue: 14(1), P. 19 - 28

Published: Nov. 11, 2010

Ecology Letters (2011) 14: 19–28 A recent increase in studies of β diversity has yielded a confusing array concepts, measures and methods. Here, we provide roadmap the most widely used ecologically relevant approaches for analysis through series mission statements. We distinguish two types diversity: directional turnover along gradient vs. non-directional variation. Different emphasize different properties ecological data. Such include degree emphasis on presence/absence relative abundance information inclusion exclusion joint absences. Judicious use multiple concert can uncover underlying nature patterns given dataset. case study Indonesian coral assemblages shows utility multi-faceted approach. advocate careful consideration questions, matched by appropriate analyses. The rigorous application null models will also help to reveal potential processes driving observed diversity.

Language: Английский

Citations

2245

Stochastic Community Assembly: Does It Matter in Microbial Ecology? DOI Open Access
Jizhong Zhou, Daliang Ning

Microbiology and Molecular Biology Reviews, Journal Year: 2017, Volume and Issue: 81(4)

Published: Oct. 12, 2017

Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly microbial ecology. Although stochastic processes are believed to play nonnegligible roles shaping structure, their importance relative deterministic hotly debated. The of ecological stochasticity structure far less appreciated. Some main reasons for such heavy debates difficulty defining diverse methods used delineating stochasticity. Here, we provide critical review synthesis data from most recent studies on assembly We then describe both components embedded various processes, including selection, dispersal, diversification, drift. also different approaches inferring observational diversity patterns highlight experimental communities. In addition, research challenges, gaps, future directions research.

Language: Английский

Citations

1958

Quantifying community assembly processes and identifying features that impose them DOI Open Access
James Stegen,

Xueju Lin,

Jim Fredrickson

et al.

The ISME Journal, Journal Year: 2013, Volume and Issue: 7(11), P. 2069 - 2079

Published: June 6, 2013

Language: Английский

Citations

1835

Stochastic and deterministic assembly processes in subsurface microbial communities DOI Open Access
James Stegen,

Xueju Lin,

Allan Konopka

et al.

The ISME Journal, Journal Year: 2012, Volume and Issue: 6(9), P. 1653 - 1664

Published: March 29, 2012

Language: Английский

Citations

1566

Historical Contingency in Community Assembly: Integrating Niches, Species Pools, and Priority Effects DOI Open Access
Tadashi Fukami

Annual Review of Ecology Evolution and Systematics, Journal Year: 2015, Volume and Issue: 46(1), P. 1 - 23

Published: Aug. 5, 2015

The order and timing of species immigration during community assembly can affect abundances at multiple spatial scales. Known as priority effects, these effects cause historical contingency in the structure function communities, resulting alternative stable states, transient or compositional cycles. mechanisms fall into two categories, niche preemption modification, conditions for by be organized groups, those regarding regional pool properties local population dynamics. Specifically, requirements must satisfied to occur: contains that together dynamics are rapid enough early-arriving preempt modify niches before other arrive. Organizing current knowledge this way reveals an outstanding key question: How pools yield generated maintained?

Language: Английский

Citations

1465

Disentangling the importance of ecological niches from stochastic processes across scales DOI Open Access
Jonathan M. Chase, Jonathan A. Myers

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2011, Volume and Issue: 366(1576), P. 2351 - 2363

Published: July 18, 2011

Deterministic theories in community ecology suggest that local, niche-based processes, such as environmental filtering, biotic interactions and interspecific trade-offs largely determine patterns of species diversity composition. In contrast, more stochastic emphasize the importance chance colonization, random extinction ecological drift. The schisms between deterministic perspectives, which date back to earliest days ecology, continue fuel contemporary debates (e.g. niches versus neutrality). As illustrated by pioneering studies Robert H. MacArthur co-workers, resolution these requires consideration how local processes changes across scales. Here, we develop a framework for disentangling relative generating site-to-site variation composition (β-diversity) along gradients (disturbance, productivity interactions) among biogeographic regions differ size regional pool. We illustrate discern using null-model approaches explicitly account factors inherently create turnover. By embracing scales, can build synthetic understanding structure biodiversity face emerge from factors.

Language: Английский

Citations

1446

Disentangling mechanisms that mediate the balance between stochastic and deterministic processes in microbial succession DOI Open Access
Francisco Dini‐Andreote, James Stegen,

Jan Dirk van Elsas

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2015, Volume and Issue: 112(11)

Published: March 2, 2015

Significance Across ecology, and particularly within microbial there is limited understanding of the mechanisms governing relative influences stochastic deterministic processes. Filling this knowledge gap a major challenge that requires development novel conceptual paradigms, experiments, ecological models. Here we ( i ) present model couples stochastic/deterministic balance to primary secondary succession, thereby integrating previously isolated domains; ii evaluate over 105 years ecosystem development, revealing systematic shift in type strength selection; iii couple empirical data with new simulation elucidate underlying characterize their scale dependency. The insights framework provided here represent nexus for cross-system integration.

Language: Английский

Citations

1329

Rethinking Community Assembly through the Lens of Coexistence Theory DOI
Janneke HilleRisLambers, Peter B. Adler, W. Stanley Harpole

et al.

Annual Review of Ecology Evolution and Systematics, Journal Year: 2012, Volume and Issue: 43(1), P. 227 - 248

Published: Aug. 30, 2012

Although research on the role of competitive interactions during community assembly began decades ago, a recent revival interest has led to new discoveries and opportunities. Using contemporary coexistence theory that emphasizes stabilizing niche differences relative fitness differences, we evaluate three empirical approaches for studying assembly. We show experimental manipulations abiotic or biotic environment, assessments trait-phylogeny-environment relationships, investigations frequency-dependent population growth all suggest strong influences outcome plant Nonetheless, due limitations these applied in isolation, still have poor understanding which axes traits determine competition structure. Combining current represents our best chance achieving this goal, is fundamental conceptual ecology management communities under global change.

Language: Английский

Citations

1302

A quantitative framework reveals ecological drivers of grassland microbial community assembly in response to warming DOI Creative Commons
Daliang Ning, Mengting Yuan, Linwei Wu

et al.

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Sept. 18, 2020

Abstract Unraveling the drivers controlling community assembly is a central issue in ecology. Although it generally accepted that selection, dispersal, diversification and drift are major processes, defining their relative importance very challenging. Here, we present framework to quantitatively infer 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), specificity (0.95–0.98) on simulated communities, which 10–160% higher than those from entire community-based approach. Application of grassland microbial communities response experimental warming reveals dominant roles homogeneous selection (38%) ‘drift’ (59%). Interestingly, decreases over time, enhances primarily imposed Bacillales. In addition, has correlations with drought plant productivity under control. provides an effective robust tool quantify should also be useful for animal

Language: Английский

Citations

821