Evidence map›Paper›PMID 34950235›Full record

ArticleEvolutionary applications2021

Genomic and common garden approaches yield complementary results for quantifying environmental drivers of local adaptation in rubber rabbitbrush, a foundational Great Basin shrub.

Trevor M Faske, Alison C Agneray, Joshua P Jahner, Lana M Sheta, Elizabeth A Leger, Thomas L Parchman

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Genomic Signatures of Adaptive Evolution inInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. 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

6 authors at 1 institution in 1 country.

Trevor M FaskeDepartment of Biology University of Nevada Reno Nevada USA.ORCID https://orcid.org/0000-0003-4396-4654
Alison C AgnerayDepartment of Biology University of Nevada Reno Nevada USA.ORCID https://orcid.org/0000-0003-3135-0233
Joshua P JahnerDepartment of Biology University of Nevada Reno Nevada USA.ORCID https://orcid.org/0000-0001-8121-6783
Lana M ShetaDepartment of Biology University of Nevada Reno Nevada USA.
Elizabeth A LegerDepartment of Biology University of Nevada Reno Nevada USA.ORCID https://orcid.org/0000-0003-0308-9496
Thomas L ParchmanDepartment of Biology University of Nevada Reno Nevada USA.ORCID https://orcid.org/0000-0003-1771-1514
University of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial structure of genomic and phenotypic variation across populations reflects historical and demographic processes as well as evolution via natural selection. Characterizing such variation can provide an important perspective for understanding the evolutionary consequences of changing climate and for guiding ecological restoration. While evidence for local adaptation has been traditionally evaluated using phenotypic data, modern methods for generating and analyzing landscape genomic data can directly quantify local adaptation by associating allelic variation with environmental variation. Here, we analyze both genomic and phenotypic variation of rubber rabbitbrush (

Indexed as

common gardengenetic‐environment associationgenotyping‐by‐sequencinglandscape genomicslocal adaptationseedling traits

Identifiers

PMID34950235
PMCPMC8674890
OpenAlexW3212531289

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.