Evidence map›Paper›PMID 26046258›Full record

ArticleThe ISME journal2016

Microbial response to simulated global change is phylogenetically conserved and linked with functional potential.

Anthony S Amend, Adam C Martiny, Steven D Allison, Renaud Berlemont, Michael L Goulden, Ying Lu, Kathleen K Treseder, Claudia Weihe, Jennifer B H Martiny

Abstract read
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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  12. Microbiology spectrum · 2024
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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

9 authors.

Anthony S AmendDepartment of Botany, University of Hawaii at Manoa, Honolulu, HI, USA.
Adam C MartinyDepartment of Earth System Science, University of California, Irvine, CA, USA.ORCID http://orcid.org/0000-0003-2829-4314
Steven D AllisonDepartment of Earth System Science, University of California, Irvine, CA, USA.
Renaud BerlemontDepartment of Earth System Science, University of California, Irvine, CA, USA.
Michael L GouldenDepartment of Earth System Science, University of California, Irvine, CA, USA.
Ying LuDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Kathleen K TresederDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Claudia WeiheDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.
Jennifer B H MartinyDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high diversity of microbial communities hampers predictions about their responses to global change. Here we investigate the potential for using a phylogenetic, trait-based framework to capture the response of bacteria and fungi to global change manipulations. Replicated grassland plots were subjected to 3+ years of drought and nitrogen fertilization. The responses of leaf litter bacteria and fungi to these simulated changes were significantly phylogenetically conserved. Proportional changes in abundance were highly correlated among related organisms, such that relatives with approximately 5% ribosomal DNA genetic distance showed similar responses to the treatments. A microbe's change in relative abundance was significantly correlated between the treatments, suggesting a compromise between numerical abundance in undisturbed environments and resistance to change in general, independent of disturbance type. Lineages in which at least 90% of the microbes shared the same response were circumscribed at a modest phylogenetic depth (τD 0.014-0.021), but significantly larger than randomized simulations predict. In several clades, phylogenetic depth of trait consensus was higher. Fungal response to drought was more conserved than was response to nitrogen fertilization, whereas bacteria responded equally to both treatments. Finally, we show that a bacterium's response to the manipulations is correlated with its potential functional traits (measured here as the number of glycoside hydrolase genes encoding the capacity to degrade different types of carbohydrates). Together, these results suggest that a phylogenetic, trait-based framework may be useful for predicting shifts in microbial composition and functioning in the face of global change.

Indexed as

EcosystemSoil MicrobiologyBacteriaDNA, RibosomalDroughtsFungiNitrogenPhylogenyDNA, RibosomalNitrogen

Identifiers

PMID26046258
PMCPMC4681869

What OpenQuestion holds

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Registered trials

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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.