Evidence map›Paper›PMID 42505031›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Adaptive Responses of Tropical Crops: A Multi-Scale Omics Integrated Perspective.

Peilin Wang, Chenhui Li, Dongjiao Wang, Qibin Wu, Zhen Zeng, Huiming Guo, Han Cheng, Songbi Chen, Hongxing Cao, Hongmei Cheng and 2 more

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Adaptive Responses of Tropical Crops: A Multi-Scale Omics Integrated Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. 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

12 authors.

Peilin WangState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.ORCID https://orcid.org/0000-0002-7782-867X
Chenhui LiAcademician Workstation, National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, China.
Dongjiao WangState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Qibin WuState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.ORCID https://orcid.org/0000-0002-3600-7613
Zhen ZengState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Huiming GuoAcademician Workstation, National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, China.
Han ChengState Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Science, Haikou, Hainan, China.
Songbi ChenState Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.
Hongxing CaoState Key Laboratory of Tropical Crop Breeding, Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.
Hongmei ChengAcademician Workstation, National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, China.
Jianghui XieState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Youxiong QueState Key Laboratory of Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.ORCID https://orcid.org/0000-0003-1111-5834

Funding

Central Public-interest Scientific Institution Basal Research Fund 1630052026029China Agriculture Research System of MOF and MARA CARS-17Chinese Academy of Tropical Agricultural Sciences for Science and Technology InnovationNational Tropical Agricultural Science Center CATASCXTD202402State Key Laboratory of Tropical Crop Breeding NKLTCBCXTD24State Key Laboratory of Tropical Crop Breeding NKLTCBCXTD38
6 · The paper itself

Abstract

Tropical regions sustain crops essential to global food security and economic development, notably sugarcane, banana, cassava, rubber and oil palm, yet these species face extreme and variable environments. This review synthesizes their adaptive strategies shaped by long-term natural selection and domestication. We examine how genomic features underlie crop complexity, how structural variation drives key adaptive traits, and how domestication and breeding reshape genomes to enhance yield while redefining adaptive trajectories. Future efforts should be devoted to resolving synergistic stress-response mechanisms via multi-omics, accelerating stress-resilient cultivar development using wild germplasm and molecular design breeding, optimizing tropical agroforestry through niche-based frameworks, and applying tropical adaptive mechanisms to other crops via synthetic biology and gene editing. Collectively, these advances provide theoretical and practical strategies for advancing climate-resilient, sustainable tropical agriculture.

Indexed as

Adaptation, PhysiologicalCrops, AgriculturalTropical ClimateDomesticationGenome, PlantGenomicsMultiomicsPlant Breedingagroecological strategiesclimate‐resilientgenomic adaptationstress resiliencetropical agriculture

Identifiers

PMID42505031
PMCPMC13403741

What OpenQuestion 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 OpenQuestion graph.