Evidence map›Paper›PMID 42309729›Full record

ReviewThe Journal of reproduction and development2026

Non-invasive biomarkers of reproduction in individuals and populations of wild vertebrates.

Katie L Edwards

Abstract readReview
In one paragraph

Review in The Journal of reproduction and development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Katie L EdwardsConservation Physiology & Reproduction, Science Department, North of England Zoological Society, Chester Zoo, Upton-by-Chester, CH2 1LH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of vertebrate species are under threat of extinction, and conservation efforts are vital to the survival of many species. Knowledge of reproductive processes across taxa, and how different factors can impact reproductive success, is essential for supporting conservation breeding and mitigating threats to reproductive success of wild populations. Although historically much of our knowledge came from model species and more invasive techniques, non-invasive monitoring of biomarkers related to reproduction can be invaluable to monitor individuals and populations over prolonged periods, crucial to gaining fundamental knowledge on reproductive physiology across a wider range of species and locations, and for evidence-based management of reproduction. Advances over the last few decades have increased the sample types that can be used and the potential biomarkers that can be investigated, but the proportion of vertebrates to which these techniques have been applied remains relatively low. The aim of this review is to highlight some of the hormones and other biomarkers that can inform on reproductive function, the sample types and considerations for non-invasive monitoring, and where efforts are required to further our understanding of reproduction in both individuals and populations of wild vertebrates. Increased application of these techniques across species could not only improve the success of conservation efforts but also help to assess the increasing threats to reproduction, such as by endocrine disruptors in natural environments, that have the potential to impact all species on the planet.

Indexed as

Animals, WildBiomarkersReproductionVertebratesAnimalsConservation of Natural ResourcesFemaleBiomarkersBiomarkerEndocrinologyNon-invasiveReproductionWildlife

Identifiers

PMID42309729
PMCPMC13286719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.