Evidence map›Paper›PMID 34689746›Full record

ArticleBMC ecology and evolution2021

Demographic history and divergence of sibling grouse species inferred from whole genome sequencing reveal past effects of climate change.

Kai Song, Bin Gao, Peter Halvarsson, Yun Fang, Siegfried Klaus, Ying-Xin Jiang, Jon E Swenson, Yue-Hua Sun, Jacob Höglund

Open access · goldAbstract read
In one paragraph

Article in BMC ecology and evolution, 2021. 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
2.9field-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

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Chromosome-scale genome assembly of Sauvagesia rhodoleuca (Ochnaceae) provides insights into its genome evolution and demographic history.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
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  4. Article
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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

9 authors at 4 institutions in 3 countries.

Kai SongAnimal Ecology, Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden. songkai2014@sina.com.ORCID 0000-0003-0613-7502
Bin GaoKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China.
Peter HalvarssonUnit of Parasitology, Department of Biomedicine and Veterinary Public Health, Swedish University of Agricultural Sciences, PO Box 7036, 75007, Uppsala, Sweden.
Yun FangKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China.
Siegfried Klaus, Jena, Germany.
Ying-Xin JiangKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China.
Jon E SwensonFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, PO Box 5003, 1432, Ås, Norway.
Yue-Hua SunKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, People's Republic of China. sunyh@ioz.ac.cn.
Jacob HöglundAnimal Ecology, Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75236, Uppsala, Sweden. jacob.hoglund@ebc.uu.se.
Chinese Academy of Sciences · CNUppsala University · SENorwegian University of Life Sciences · NOSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe boreal forest is one of the largest biomes on earth, supporting thousands of species. The global climate fluctuations in the Quaternary, especially the ice ages, had a significant influence on the distribution of boreal forest, as well as the divergence and evolution of species inhabiting this biome. To understand the possible effects of on-going and future climate change it would be useful to reconstruct past population size changes and relate such to climatic events in the past. We sequenced the genomes of 32 individuals from two forest inhabiting bird species, Hazel Grouse (Tetrastes bonasia) and Chinese Grouse (T. sewerzowi) and three representatives of two outgroup species from Europe and China.

resultsWe estimated the divergence time of Chinese Grouse and Hazel Grouse to 1.76 (0.46-3.37) MYA. The demographic history of different populations in these two sibling species was reconstructed, and showed that peaks and bottlenecks of effective population size occurred at different times for the two species. The northern Qilian population of Chinese Grouse became separated from the rest of the species residing in the south approximately 250,000 years ago and have since then showed consistently lower effective population size than the southern population. The Chinese Hazel Grouse population had a higher effective population size at the peak of the Last Glacial Period (approx. 300,000 years ago) than the European population. Both species have decreased recently and now have low effective population sizes.

conclusionsCombined with the uplift history and reconstructed climate change during the Quaternary, our results support that cold-adapted grouse species diverged in response to changes in the distribution of palaeo-boreal forest and the formation of the Loess Plateau. The combined effects of climate change and an increased human pressure impose major threats to the survival and conservation of both species.

Indexed as

Climate ChangeGalliformesAnimalsEcosystemHumansPopulation DensityWhole Genome SequencingBoreal forestClimate changeDemographic historyGenomicsIce ageQinghai–Tibetan plateau

Identifiers

PMID34689746
PMCPMC8543876
OpenAlexW3210067882

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LicenceCC BY
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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.