Evidence map›Paper›PMID 39596890›Full record

ArticleBiology2024

Population Genetic Characteristics of Siberian Roe Deer in the Cold Temperate Forest Ecosystem of the Greater Khingan Mountains, Northeast China.

Xinxin Liu, Yang Hong, Jinhao Guo, Ning Zhang, Shaochun Zhou, Lu Jin, Xiaoqian Ma, Ziao Yuan, Hairong Du, Minghai Zhang and 1 more

Abstract read
In one paragraph

Article in Biology, 2024. 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. Review
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

11 authors.

Xinxin LiuCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.
Yang HongCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.ORCID 0009-0004-4318-6092
Jinhao GuoCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0001-6289-6293
Ning ZhangCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.ORCID 0009-0008-8461-7564
Shaochun ZhouWildlife Research Institute of Heilongjiang Province, Harbin 150010, China.
Lu JinCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.
Xiaoqian MaWildlife Research Institute of Heilongjiang Province, Harbin 150010, China.ORCID 0000-0002-0099-7264
Ziao YuanCollege of Life Science and Technology, Harbin Normal University, Harbin 150080, China.
Hairong DuCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0003-0865-6576
Minghai ZhangCollege of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China.
Jialong WangInstitute of Applied Microbiology, Heilongjiang Academy of Sciences, Harbin 150010, China.

Funding

Fundamental Research Funds for the Central Universities 2572023AW20Heilongjiang Provincial Research Institutes Research Business Expenses Project CZKYF2024-1-C006National Key Research and Development Program No. SQ2023YFF1300121the Key R&D project of Heilongjiang Province GA23A902the National Forestry and Grassland Administration Project, China: Investigation, monitoring, and patrol of Amur tiger in Greater Khingan Mountains the National Forestry and Grassland Administration Project, China: Investigation, monitoring, and patrol of Amur tiger in Greater Khingan Mountains
6 · The paper itself

Abstract

This study focuses on the Siberian roe deer population in the Greater Khingan Mountains, Northeast China. The cold temperate forest ecosystem in this area is distinctive. The Siberian roe deer is a crucial ecological indicator species, and its living conditions hold significant importance for ecological balance. From the winter of 2019 to 2022, 269 fecal samples of Siberian roe deer were collected from four protected areas in the northern part of the Greater Khingan Mountains, Heilongjiang Province. These samples were comprehensively analyzed using mitochondrial DNA and microsatellite markers, combined with conservation genetics evaluation methods. The results revealed that 244 individuals were identified in the fecal samples. The results of a Cyt b genetic analysis of the samples indicated that the haplotype and nucleotide diversity were 88.1% and 20.3%, respectively. The evaluation of 14 pairs of microsatellite loci showed that the average number of alleles was 11.2, and the average expected and observed heterozygosity were 0.672 and 0.506, respectively. Therefore, the overall genetic diversity level is high, but some populations of Siberian roe deer are at risk. AMOVA analysis and STRUCTURE Bayesian clustering confirmed the existence of obvious genetic differentiation among the populations. Historical studies have shown that the HZ and SH populations underwent the earliest diffusion events, and the BJC and SL populations also exhibited related signs (HZ: Huzhong Nature Reserve in the Greater Khingan Mountains; SH: Shuanghe National Nature Reserve in Heilongjiang Province; BJC: Heilongjiang Beijicun National Nature Reserve; SL: Songling District in Heilongjiang Province). Mismatch distribution and neutral tests indicated no expansion events or bottleneck effects in the population, and the inbreeding coefficient was positive, suggesting the possibility of inbreeding. The development potential of the population in the future varies among the various local populations. This study supports the biodiversity of Siberian roe deer at the genetic level to save the population and provides important scientific basis and reference for the protection and management of Siberian roe deer.

Indexed as

genetic differentiationgenetic diversitygenetic structurepopulation dynamicsSiberian roe deer (Capreolus pygargus)

Identifiers

PMID39596890
PMCPMC11591672

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Registered trials

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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.