Evidence map›Paper›PMID 39278956›Full record

ArticleNature communications2024

Haplotype-based pangenomes reveal genetic variations and climate adaptations in moso bamboo populations.

Yinguang Hou, Junwei Gan, Zeyu Fan, Lei Sun, Vanika Garg, Yu Wang, Shanying Li, Pengfei Bao, Bingchen Cao, Rajeev K Varshney and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  8. Compartmentalized Homeostasis Drives High Bamboo Forest Productivity under Nutrient Imbalance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Review
  10. Single-nucleus and spatial transcriptomics reveal the cell populations of intercalary meristems in bamboo.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

11 authors.

Yinguang HouInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0002-1412-0703
Junwei GanInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0001-6845-8403
Zeyu FanInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0002-2792-0902
Lei SunInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0003-3365-5268
Vanika GargCentre for Crop & Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.
Yu WangInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0002-2393-8902
Shanying LiInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0000-0002-6479-014X
Pengfei BaoInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0009-0002-1350-6396
Bingchen CaoInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China.ORCID 0009-0003-2249-1488
Rajeev K VarshneyCentre for Crop & Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia.ORCID 0000-0002-4562-9131
Hansheng ZhaoInstitute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, 100102, China. zhaohansheng@icbr.ac.cn.ORCID 0000-0002-5405-0375

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32271975
6 · The paper itself

Abstract

Moso bamboo (Phyllostachys edulis), an ecologically and economically important forest species in East Asia, plays vital roles in carbon sequestration and climate change mitigation. However, intensifying climate change threatens moso bamboo survival. Here we generate high-quality haplotype-based pangenome assemblies for 16 representative moso bamboo accessions and integrated these assemblies with 427 previously resequenced accessions. Characterization of the haplotype-based pangenome reveals extensive genetic variation, predominantly between haplotypes rather than within accessions. Many genes with allele-specific expression patterns are implicated in climate responses. Integrating spatiotemporal climate data reveals more than 1050 variations associated with pivotal climate factors, including temperature and precipitation. Climate-associated variations enable the prediction of increased genetic risk across the northern and western regions of China under future emissions scenarios, underscoring the threats posed by rising temperatures. Our integrated haplotype-based pangenome elucidates moso bamboo's local climate adaptation mechanisms and provides critical genomic resources for addressing intensifying climate pressures on this essential bamboo. More broadly, this study demonstrates the power of long-read sequencing in dissecting adaptive traits in climate-sensitive species, advancing evolutionary knowledge to support conservation.

Indexed as

Climate ChangeGenetic VariationGenome, PlantHaplotypesPoaceaeAcclimatizationAdaptation, PhysiologicalChina

Identifiers

PMID39278956
PMCPMC11402969

What OpenQuestion holds

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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.