Evidence map›Paper›PMID 34130504›Full record

ArticleProceedings. Biological sciences2021

The evolution of trait correlations constrains phenotypic adaptation to high CO

Nathan G Walworth, Jana Hinners, Phoebe A Argyle, Suzana G Leles, Martina A Doblin, Sinéad Collins, Naomi M Levine

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Nathan G WalworthDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 90089-0371, USA.
Jana HinnersInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
Phoebe A ArgyleClimate Change Cluster, University of Technology Sydney, Sydney, New South Wales 2007, Australia.
Suzana G LelesDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 90089-0371, USA.
Martina A DoblinClimate Change Cluster, University of Technology Sydney, Sydney, New South Wales 2007, Australia.
Sinéad CollinsInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK.
Naomi M LevineDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 90089-0371, USA.
University of Southern California · USUniversity of Edinburgh · GBUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes form the base of food webs and drive biogeochemical cycling. Predicting the effects of microbial evolution on global elemental cycles remains a significant challenge due to the sheer number of interacting environmental and trait combinations. Here, we present an approach for integrating multivariate trait data into a predictive model of trait evolution. We investigated the outcome of thousands of possible adaptive walks parameterized using empirical evolution data from the alga

Indexed as

Biological EvolutionCarbon DioxideAdaptation, PhysiologicalEukaryotaPhenotypeCarbon Dioxidebiogeochemistrymicrobial evolutionphytoplanktonprincipal component analysestrait adaptationtrait correlations

Identifiers

PMID34130504
PMCPMC8206706
OpenAlexW3172380495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.