Evidence map›Paper›PMID 41718873›Full record

ReviewAdvances in experimental medicine and biology2026

Molecular Tools for Non-invasive Sexing of Wildlife.

Sadanand D Sontakke, P Anuradha Reddy, Simran S Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 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

3 authors.

Sadanand D SontakkeLaboratory for Conservation of Endangered Species (LaCONES), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India. sadanand.sontakke@csir.res.in.
P Anuradha ReddyLaboratory for Conservation of Endangered Species (LaCONES), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.
Simran S SinghLaboratory for Conservation of Endangered Species (LaCONES), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change and global warming threaten the very existence of natural biodiversity by altering ecosystems and distribution of species. This warrants sincere conservation efforts by government and societies to preserve our biodiversity. Conservation and population studies always require precise identification of gender of endangered and elusive species, and this information is very valuable in ecological studies, population genetics, forensic science, ex situ captive breeding programmes, as well as for developing reproductive technologies to boost wild populations. In this chapter, we provide an overview of the importance of gender identification in wild species. We then explain in brief different conventional as well as molecular approaches available for gender identification, with special focus on wild mammals, birds and reptiles. Various methods/markers and procedures used for sex identification are described in detail, along with their advantages and limitations. This will help zoo managers, conservationists, biologists and wildlife researchers who are unaware of all the advanced DNA tools available for sex identification. Overall, this review chapter presents a comprehensive guide to recent advances in molecular sexing, highlighting its strengths and limitations. Research implications and applications in this field are also addressed.

Indexed as

Animals, WildSex Determination AnalysisAnimalsBirdsConservation of Natural ResourcesFemaleGenetic MarkersMaleMammalsGenetic MarkersChromosomesDNA markersPCRSexingWildlife

Identifiers

PMID41718873

What OpenQuestion holds

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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.