Evidence map›Paper›PMID 38582794›Full record

ArticleScientific reports2024

The genetic status and rescue measure for a geographically isolated population of Amur tigers.

Yao Ning, Dongqi Liu, Jiayin Gu, Yifei Zhang, Nathan James Roberts, Valentin Yu Guskov, Jiale Sun, Dan Liu, Ming Gong, Jinzhe Qi and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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.

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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.

Yao Ning *College of Life Science, Jilin Agricultural University, 2888 Xincheng Street, Changchun, 130118, China.
Dongqi Liu *Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Jiayin Gu *Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Yifei ZhangCollege of Life Science, Jilin Agricultural University, 2888 Xincheng Street, Changchun, 130118, China.
Nathan James RobertsFeline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Valentin Yu GuskovFederal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of Russian Academy of Sciences (FSCEATB FEB RAS), Vladivostok, Russian Federation.
Jiale SunFeline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Dan LiuSiberian Tiger Park, Harbin, 150028, Heilongjiang, China.
Ming GongSiberian Tiger Park, Harbin, 150028, Heilongjiang, China.
Jinzhe QiFeline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Zhijian HeFeline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China.
Chunmei ShiCollege of Mathematics and Computer Science, Zhejiang Agriculture and Forestry University, Hangzhou, China.
Guangshun JiangFeline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China. jgshun@126.com.

Funding

National Natural Science Foundation of China NSFC 32100403
6 · The paper itself

Abstract

The Amur tiger is currently confronted with challenges of anthropogenic development, leading to its population becoming fragmented into two geographically isolated groups: smaller and larger ones. Small and isolated populations frequently face a greater extinction risk, yet the small tiger population's genetic status and survival potential have not been assessed. Here, a total of 210 samples of suspected Amur tiger feces were collected from this small population, and the genetic background and population survival potentials were assessed by using 14 microsatellite loci. Our results demonstrated that the mean number of alleles in all loci was 3.7 and expected heterozygosity was 0.6, indicating a comparatively lower level of population genetic diversity compared to previously reported studies on other subspecies. The genetic estimates of effective population size (Ne) and the Ne/N ratio were merely 7.6 and 0.152, respectively, representing lower values in comparison to the Amur tiger population in Sikhote-Alin (the larger group). However, multiple methods have indicated the possibility of genetic divergence within our isolated population under study. Meanwhile, the maximum kinship recorded was 0.441, and the mean inbreeding coefficient stood at 0.0868, both of which are higher than those observed in other endangered species, such as the African lion and the grey wolf. Additionally, we have identified a significant risk of future extinction if the lethal equivalents were to reach 6.26, which is higher than that of other large carnivores. Further, our simulation results indicated that an increase in the number of breeding females would enhance the prospects of this population. In summary, our findings provide a critical theoretical basis for further bailout strategies concerning Amur tigers.

Indexed as

LionsTigersAnimalsConservation of Natural ResourcesEndangered SpeciesFemaleGenetic VariationHeterozygoteMicrosatellite RepeatsPopulation DensityAmur tigerEffective population sizeGenetic diversityInbreedingPopulation viability

Identifiers

PMID38582794
PMCPMC10998829

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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.