Evidence map›Paper›PMID 37872949›Full record

ArticlePeerJ2023

Evolutionary insights on critically endangered Kashmir red deer or hangul (

Khursheed Ahmad, Ankit Shankar Pacha, Rashid Yahya Naqash, Sathish Kumar Peddamma, Srinivas Yellapu, Shenu Hudson, Dushyant Singh Baghel, Parag Nigam, Samrat Mondol

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2023. 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

9 authors.

Khursheed Ahmad *Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, Jammu and Kashmir, India.
Ankit Shankar Pacha *Animal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, Uttarakhand, India.ORCID 0000-0002-7979-4223
Rashid Yahya NaqashDepartment of Wildlife Protection, Jammu & Kashmir Government, Srinagar, Jammu and Kashmir, India.
Sathish Kumar PeddammaNucleome Informatics Pvt. Ltd., Hyderabad, Telangana, India.
Srinivas YellapuNucleome Informatics Pvt. Ltd., Hyderabad, Telangana, India.ORCID 0000-0002-5412-4717
Shenu HudsonNucleome Informatics Pvt. Ltd., Hyderabad, Telangana, India.
Dushyant Singh BaghelNucleome Informatics Pvt. Ltd., Hyderabad, Telangana, India.
Parag NigamAnimal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, Uttarakhand, India.
Samrat MondolAnimal Ecology and Conservation Biology, Wildlife Institute of India, Dehradun, Uttarakhand, India.ORCID 0000-0003-3034-9396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Kashmir red deer or Hangul ( Methods: Blood sampling was conducted from two wild Hangul individuals during radio-collaring operations at Dachigam National Park, Kashmir in 2013 and 2020, respectively. Using next-generation sequencing approach, we sequenced the 16,351 bp long mitogenome of two wild-caught Hangul individuals (1 M:1 F at ~14× and ~10× coverage, respectively) from Dachigam National Park. Results: The annotated sequences were identical with an AT-rich composition, including 13 protein-coding genes (11,354 bp), 22 tRNA genes (1,515 bp), two ribosomal genes (2,526 bp) and a non-coding control region (917 bp) in a conserved order like other red deer species. Bayesian phylogenetic reconstruction of the red deer complex revealed two major groups: the elaphoid and the wapitoid clades. Hangul formed a distinct clade with its other subspecies

Indexed as

DeerAnimalsBayes TheoremBiological EvolutionPhylogenyPhylogeographyDivergence timeEndemismLarge herbivore conservationNext-generation sequencingPhylogenyTarim red deer

Identifiers

PMID37872949
PMCPMC10590573

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.