Evidence map›Paper›PMID 33089581›Full record

ArticleMolecular ecology2021

Adaptation, ancestral variation and gene flow in a 'Sky Island' Drosophila species.

Tom Hill, Robert L Unckless

Open access · greenAbstract read
In one paragraph

Article in Molecular ecology, 2021. 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
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

2 authors at 1 institution in 1 country.

Tom HillThe Department of Molecular Biosciences, University of Kansas, Lawrence, KS, USA.ORCID 0000-0002-4661-6391
Robert L UncklessThe Department of Molecular Biosciences, University of Kansas, Lawrence, KS, USA.ORCID 0000-0001-8586-7137
University of Kansas · US

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI LUNTE, SUSAN M · 2012 to 2021
$22.1M
The causes of balancing selection on immunity genes: from populations to molecular interactions.R01AI139154 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI UNCKLESS, ROBERT L · 2018 to 2022
$1.9M
Antimicrobial peptides as models for the evolution of gene duplicationR00GM114714 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI UNCKLESS, ROBERT L · 2016 to 2018
$732k
NIAID NIH HHS R01 AI139154NIGMS NIH HHS P20 GM103418NIGMS NIH HHS P20 GM103638NIGMS NIH HHS R00 GM114714
6 · The paper itself

Abstract

Over time, populations of species can expand, contract, fragment and become isolated, creating subpopulations that must adapt to local conditions. Understanding how species maintain variation after divergence as well as adapt to these changes in the face of gene flow is of great interest, especially as the current climate crisis has caused range shifts and frequent migrations for many species. Here, we characterize how a mycophageous fly species, Drosophila innubila, came to inhabit and adapt to its current range which includes mountain forests in south-western USA separated by large expanses of desert. Using population genomic data from more than 300 wild-caught individuals, we examine four populations to determine their population history in these mountain forests, looking for signatures of local adaptation. In this first extensive study, establishing D. innubila as a key genomic "Sky Island" model, we find D. innubila spread northwards during the previous glaciation period (30-100 KYA) and have recently expanded even further (0.2-2 KYA). D. innubila shows little evidence of population structure, consistent with a recent establishment and genetic variation maintained since before geographic stratification. We also find some signatures of recent selective sweeps in chorion proteins and population differentiation in antifungal immune genes suggesting differences in the environments to which flies are adapting. However, we find little support for long-term recurrent selection in these genes. In contrast, we find evidence of long-term recurrent positive selection in immune pathways such as the Toll signalling system and the Toll-regulated antimicrobial peptides.

Indexed as

DrosophilaGene FlowAcclimatizationAdaptation, PhysiologicalAnimalsGenetic VariationIslandsDrosophila innubilainversionslocal adaptationphylogeography

Identifiers

PMID33089581
PMCPMC7945764
OpenAlexW3094033859

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.