Evidence map›Paper›PMID 25566196›Full record

ArticleFrontiers in microbiology2014

Microbial interactions and the ecology and evolution of Hawaiian Drosophilidae.

Timothy K O'Connor, Parris T Humphrey, Richard T Lapoint, Noah K Whiteman, Patrick M O'Grady

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Timothy K O'ConnorEcology and Evolutionary Biology, University of Arizona Tucson, AZ, USA.
Parris T HumphreyEcology and Evolutionary Biology, University of Arizona Tucson, AZ, USA.
Richard T LapointEcology and Evolutionary Biology, University of Arizona Tucson, AZ, USA.
Noah K WhitemanEcology and Evolutionary Biology, University of Arizona Tucson, AZ, USA.
Patrick M O'GradyEnvironmental Science, Policy and Management, University of California Berkeley Berkeley, CA, USA.

Funding

POST DOCTORAL EXCELLENCE IN RESEARCH AND TEACHINGK12GM000708 · NIGMS · UNIVERSITY OF ARIZONA · PI STRAUSFELD, NICHOLAS J · 2000 to 2018
$21.5M
NIGMS NIH HHS K12 GM000708
6 · The paper itself

Abstract

Adaptive radiations are characterized by an increased rate of speciation and expanded range of habitats and ecological niches exploited by those species. The Hawaiian Drosophilidae is a classic adaptive radiation; a single ancestral species colonized Hawaii approximately 25 million years ago and gave rise to two monophyletic lineages, the Hawaiian Drosophila and the genus Scaptomyza. The Hawaiian Drosophila are largely saprophagous and rely on approximately 40 endemic plant families and their associated microbes to complete development. Scaptomyza are even more diverse in host breadth. While many species of Scaptomyza utilize decomposing plant substrates, some species have evolved to become herbivores, parasites on spider egg masses, and exploit microbes on living plant tissue. Understanding the origin of the ecological diversity encompassed by these nearly 700 described species has been a challenge. The central role of microbes in drosophilid ecology suggests bacterial and fungal associates may have played a role in the diversification of the Hawaiian Drosophilidae. Here we synthesize recent ecological and microbial community data from the Hawaiian Drosophilidae to examine the forces that may have led to this adaptive radiation. We propose that the evolutionary success of the Hawaiian Drosophilidae is due to a combination of factors, including adaptation to novel ecological niches facilitated by microbes.

Indexed as

adaptive radiationfungiHawaiian DrosophilaherbivoryPseudomonasScaptomyzasymbiosis

Identifiers

PMID25566196
PMCPMC4270190

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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.