Evidence map›Paper›PMID 37002860›Full record

ReviewMolecular ecology resources2025

Landscape transcriptomics as a tool for addressing global change effects across diverse species.

Jason Keagy, Chloe P Drummond, Kadeem J Gilbert, Christina M Grozinger, Jill Hamilton, Heather M Hines, Jesse Lasky, Cheryl A Logan, Ruairidh Sawers, Tyler Wagner

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Fungal ecology in the age of 'omics.The New phytologist · 2026
    Review
  4. Article
  5. Article
  6. Genomics and genetic rescue.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

10 authors at 3 institutions in 1 country.

Jason KeagyDepartment of Ecosystem Science and Management, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1235-4837
Chloe P DrummondDepartment of Biological Science, Mount Holyoke College, Hadley, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8086-9213
Kadeem J GilbertDepartment of Entomology, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0105-8020
Christina M GrozingerDepartment of Entomology, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-5738-1201
Jill HamiltonDepartment of Ecosystem Science and Management, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-3041-0508
Heather M HinesDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0299-5569
Jesse LaskyDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7688-5296
Cheryl A LoganDepartment of Marine Science, California State University Monterey Bay, Seaside, California, USA.ORCID https://orcid.org/0000-0001-7639-4956
Ruairidh SawersDepartment of Plant Science, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8945-3078
Tyler WagnerU.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-1726-016X
Pennsylvania State University · USCalifornia State University, Monterey Bay · USUnited States Geological Survey · US

Funding

College of Agricultural Sciences, The Pennsylvania State UniversityNational Institute of Food and Agriculture 2019-67012-37587National Institute of Food and Agriculture 2020-67012-31896
6 · The paper itself

Abstract

Landscape transcriptomics is an emerging field studying how genome-wide expression patterns reflect dynamic landscape-scale environmental drivers, including habitat, weather, climate, and contaminants, and the subsequent effects on organismal function. This field is benefitting from advancing and increasingly accessible molecular technologies, which in turn are allowing the necessary characterization of transcriptomes from wild individuals distributed across natural landscapes. This research is especially important given the rapid pace of anthropogenic environmental change and potential impacts that span levels of biological organization. We discuss three major themes in landscape transcriptomic research: connecting transcriptome variation across landscapes to environmental variation, generating and testing hypotheses about the mechanisms and evolution of transcriptomic responses to the environment, and applying this knowledge to species conservation and management. We discuss challenges associated with this approach and suggest potential solutions. We conclude that landscape transcriptomics has great promise for addressing fundamental questions in organismal biology, ecology, and evolution, while providing tools needed for conservation and management of species.

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsClimate ChangeConservation of Natural ResourcesEcosystemconservationgene expressionglobal changelandscape transcriptomicswild populations

Identifiers

PMID37002860
PMCPMC12142727
OpenAlexW4362458207

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.