Evidence map›Paper›PMID 32699496›Full record

ArticleEvolutionary bioinformatics online2020

Genetic Diversity and Prediction Analysis of Small Isolated Giant Panda Populations After Release of Individuals.

Qin-Long Dai, Jian-Wei Li, Yi Yang, Min Li, Kan Zhang, Liu-Yang He, Jun Zhang, Bo Tang, Hui-Ping Liu, Yu-Xia Li and 3 more

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Antibiotic-ResistantVeterinary sciences · 2022
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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

13 authors.

Qin-Long DaiKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, Sichuan, China.ORCID https://orcid.org/0000-0003-4656-9414
Jian-Wei LiKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, Sichuan, China.
Yi YangLiziping National Nature Reserve, Shimian, Sichuan, China.
Min LiKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, Sichuan, China.
Kan ZhangLiziping National Nature Reserve, Shimian, Sichuan, China.
Liu-Yang HeGonggashan National Nature Reserve, Shimian, Sichuan, China.
Jun ZhangLiziping National Nature Reserve, Shimian, Sichuan, China.
Bo TangLiziping National Nature Reserve, Shimian, Sichuan, China.
Hui-Ping LiuLiziping National Nature Reserve, Shimian, Sichuan, China.
Yu-Xia LiShimian Agricultural and Rural Bureau, Shimian, Sichuan, China.
Li-Feng ZhuNanjing Normal University, Nanjing, Jiangsu, China.
Zhi-Song YangKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, Sichuan, China.
Qiang DaiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Release of individuals is an effective conservation approach to protect endangered species. To save this small isolated giant panda population in Liziping Nature Reserve, a few giant pandas have been released to this population. Here we assess genetic diversity and future changes in the population using noninvasive genetic sampling after releasing giant pandas. In this study, a total of 28 giant pandas (including 4 released individuals) were identified in the Liziping, China. Compared with other giant panda populations, this population has medium-level genetic diversity; however, a Bayesian-coalescent method clearly detected, quantified, and dated a recent decrease in population size. The predictions for genetic diversity and survival of the population in the next 100 years indicate that this population has a high risk of extinction. We show that released giant pandas can preserve genetic diversity and improve the probability of survival in this small isolated giant panda population. To promote the recovery of this population, we suggest that panda release should be continued and this population will need to release 10 males and 20 females in the future.

Indexed as

genetic diversitygiant panda populationLiziping Nature Reservemicrosatellite markerprediction analysis

Identifiers

PMID32699496
PMCPMC7357131

What OpenQuestion holds

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LicenceCC BY-NC
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.