Evidence map›Paper›PMID 25473009›Full record

ArticleProceedings. Biological sciences2015

Evolutionary relatedness does not predict competition and co-occurrence in natural or experimental communities of green algae.

Markos A Alexandrou, Bradley J Cardinale, John D Hall, Charles F Delwiche, Keith Fritschie, Anita Narwani, Patrick A Venail, Bastian Bentlage, M Sabrina Pankey, Todd H Oakley

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  6. Darwin's naturalization conundrum can be explained by spatial scale.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. Antagonism correlates with metabolic similarity in diverse bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  9. Article
  10. Article
  11. The uncertain role of diversity dependence in species diversification and the need to incorporate time-varying carrying capacities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Article
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Markos A AlexandrouEcology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, USA markosalexandrou@mac.com.
Bradley J CardinaleSchool of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA.
John D HallDepartment of Plant Science and Landscape Architecture, University of Maryland, 2102 Plant Sciences Building, College Park, MD 20742, USA.
Charles F DelwicheDepartment of Cell Biology and Molecular Genetics, University of Maryland, 2107 Bioscience Research Building, College Park, MD 20742, USA.
Keith FritschieSchool of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98105, USA.
Anita NarwaniSchool of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA Eawag, Swiss Federal Institute of Aquatic Science and Technology, ECO BU G11 Uberlandstrasse, 1338600 Dubendorf, Switzerland.
Patrick A VenailSchool of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109, USA Section of Earth and Environmental Sciences, Institute F.-A. Forel, University of Geneva, Geneva, Switzerland.
Bastian BentlageDepartment of Cell Biology and Molecular Genetics, University of Maryland, 2107 Bioscience Research Building, College Park, MD 20742, USA.
M Sabrina PankeyEcology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, USA.
Todd H OakleyEcology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The competition-relatedness hypothesis (CRH) predicts that the strength of competition is the strongest among closely related species and decreases as species become less related. This hypothesis is based on the assumption that common ancestry causes close relatives to share biological traits that lead to greater ecological similarity. Although intuitively appealing, the extent to which phylogeny can predict competition and co-occurrence among species has only recently been rigorously tested, with mixed results. When studies have failed to support the CRH, critics have pointed out at least three limitations: (i) the use of data poor phylogenies that provide inaccurate estimates of species relatedness, (ii) the use of inappropriate statistical models that fail to detect relationships between relatedness and species interactions amidst nonlinearities and heteroskedastic variances, and (iii) overly simplified laboratory conditions that fail to allow eco-evolutionary relationships to emerge. Here, we address these limitations and find they do not explain why evolutionary relatedness fails to predict the strength of species interactions or probabilities of coexistence among freshwater green algae. First, we construct a new data-rich, transcriptome-based phylogeny of common freshwater green algae that are commonly cultured and used for laboratory experiments. Using this new phylogeny, we re-analyse ecological data from three previously published laboratory experiments. After accounting for the possibility of nonlinearities and heterogeneity of variances across levels of relatedness, we find no relationship between phylogenetic distance and ecological traits. In addition, we show that communities of North American green algae are randomly composed with respect to their evolutionary relationships in 99% of 1077 lakes spanning the continental United States. Together, these analyses result in one of the most comprehensive case studies of how evolutionary history influences species interactions and community assembly in both natural and experimental systems. Our results challenge the generality of the CRH and suggest it may be time to re-evaluate the validity and assumptions of this hypothesis.

Indexed as

Biological EvolutionPhylogenyChlorophytaEcosystemPopulation DynamicsSpecies SpecificityTranscriptomecommunity ecologyevolutionary ecologymolecular phylogenetics

Identifiers

PMID25473009
PMCPMC4286037

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.