Evidence map›Paper›PMID 38768215›Full record

ArticleMolecular biology and evolution2024

Signatures of Adaptation and Purifying Selection in Highland Populations of Dasiphora fruticosa.

Fu-Sheng Yang, Min Liu, Xing Guo, Chao Xu, Juan Jiang, Weixue Mu, Dongming Fang, Yong-Chao Xu, Fu-Min Zhang, Ying-Hui Wang and 10 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Mitochondrial genome ofFrontiers in plant science · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

20 authors.

Fu-Sheng YangState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0001-7118-9160
Min LiuState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0002-8876-7534
Xing GuoState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.
Chao XuState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-9678-4772
Juan JiangState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0001-5056-5286
Weixue MuState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0002-2675-261X
Dongming FangState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.
Yong-Chao XuState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-1378-4049
Fu-Min ZhangState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0003-4766-8078
Ying-Hui WangState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0001-6242-0041
Ting YangState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0002-2872-4954
Hongyun ChenState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0001-8422-9619
Sunil Kumar SahuState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0002-4742-9870
Ruirui LiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0001-0254-2554
Guanlong WangState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0009-0000-4652-1715
Qiang WangState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-0699-2034
Xun XuState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China.ORCID 0000-0002-5338-5173
Song GeState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-7683-5579
Huan LiuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0000-0003-3909-0931
Ya-Long GuoState Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.ORCID 0000-0002-4643-4889

Funding

Chinese Academy of SciencesInstitute of BotanyNational Natural Science Foundation of China 31925004Second Tibetan Plateau Scientific Expedition and Research (STEP) program 2019QZKK0502State Key Laboratory of Systematic and Evolutionary BotanyStrategic Priority Research Program of the Chinese Academy of Sciences XDB27010305
6 · The paper itself

Abstract

High mountains harbor a considerable proportion of biodiversity, but we know little about how diverse plants adapt to the harsh environment. Here we finished a high-quality genome assembly for Dasiphora fruticosa, an ecologically important plant distributed in the Qinghai-Tibetan Plateau and lowland of the Northern Hemisphere, and resequenced 592 natural individuals to address how this horticulture plant adapts to highland. Demographic analysis revealed D. fruticosa underwent a bottleneck after Naynayxungla Glaciation. Selective sweep analysis of two pairs of lowland and highland populations identified 63 shared genes related to cell wall organization or biogenesis, cellular component organization, and dwarfism, suggesting parallel adaptation to highland habitats. Most importantly, we found that stronger purging of estimated genetic load due to inbreeding in highland populations apparently contributed to their adaptation to the highest mountain. Our results revealed how plants could tolerate the extreme plateau, which could provide potential insights for species conservation and crop breeding.

Indexed as

Genome, PlantSelection, GeneticAdaptation, PhysiologicalAltitudeadaptationcomparative genomicsconservation biologyDasiphora fruticosagenetic loadhighlandpopulation genomicspurifying selection

Identifiers

PMID38768215
PMCPMC11156201

What Socratic 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 Socratic graph.