Evidence map›Paper›PMID 33072165›Full record

ArticleFrontiers in zoology2020

Whole-genome sequencing of Tarim red deer (

Buweihailiqiemu Ababaikeri, Shamshidin Abduriyim, Yilamujiang Tohetahong, Tayerjan Mamat, Adil Ahmat, Mahmut Halik

Open access · goldAbstract read
In one paragraph

Article in Frontiers in zoology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 41 citations in OpenAlex.

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  2. bioRxiv : the preprint server for biology · 2026
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  10. Whole-genome sequencing of Tahe red deer (Frontiers in veterinary science · 2025
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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 3 institutions in 1 country.

Buweihailiqiemu Ababaikeri *College of Life Sciences and Technology, Xinjiang University, Urumqi, 830046 Xinjiang China.
Shamshidin Abduriyim *College of Life Science, Shihezi University, Shihezi, 832003 Xinjiang China.ORCID https://orcid.org/0000-0002-7038-077X
Yilamujiang TohetahongCollege of Life Sciences and Technology, Xinjiang University, Urumqi, 830046 Xinjiang China.
Tayerjan MamatCollege of Life Sciences and Technology, Xinjiang University, Urumqi, 830046 Xinjiang China.
Adil AhmatCollege of Life Sciences and Technology, Xinjiang University, Urumqi, 830046 Xinjiang China.
Mahmut HalikCollege of Life Sciences and Technology, Xinjiang University, Urumqi, 830046 Xinjiang China.
Xinjiang University · CNShihezi University · CNXinjiang Institute of Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe initiation of desert conditions in the Tarim Basin in China since the late Miocene has led to the significant genetic structuring of local organisms. Tarim Red Deer (

resultsWe sequenced the whole genomes of 13 TRD individuals, conducted comparative genomic analyses, and estimated demographic fluctuation. The ∂a∂i model estimated that the TRD and Tule elk (

conclusionsOur analyses highlight the role of historical global climates in the population dynamics of TRD. In light of ongoing global warming and the increasing incidence of droughts, our study offers insights into the genomic adaptations of animals, especially TRD, to extreme arid-desert environments and provides a valuable resource for future research on conservation design and biological adaptations to environmental change.

Indexed as

Arid-desert environmentCervus elaphusEnvironmental adaptabilityPopulation demographic historyTarim red deerWhole genome sequencing

Identifiers

PMID33072165
PMCPMC7565370
OpenAlexW3092878306

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.