Evidence map›Paper›PMID 40269327›Full record

ArticleNature genetics2025

Pan-genomic analysis highlights genes associated with agronomic traits and enhances genomics-assisted breeding in alfalfa.

Fei He, Shuai Chen, Yangyang Zhang, Kun Chai, Qing Zhang, Weilong Kong, Shenyang Qu, Lin Chen, Fan Zhang, Mingna Li and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

24 authors.

Fei He *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Shuai Chen *National Key Laboratory for Tropical Crop Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-6861-2682
Yangyang Zhang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Kun ChaiNational Key Laboratory for Tropical Crop Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Qing ZhangState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, China.ORCID http://orcid.org/0000-0002-1160-2715
Weilong KongNational Key Laboratory for Tropical Crop Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Shenyang QuNational Key Laboratory for Tropical Crop Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Lin ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Fan ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Mingna LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xue WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Huigang LvInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Tiejun ZhangSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Xiaofan HeSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Xiao LiSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Yajing LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xianyang LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xueqian JiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Ming XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Bilig SodInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Xingtan ZhangNational Key Laboratory for Tropical Crop Breeding, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. zhangxingtan@caas.cn.ORCID http://orcid.org/0000-0002-5207-0882
Ruicai LongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China. longruicai@caas.cn.ORCID http://orcid.org/0000-0001-6920-2979
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China. yangqingchuan@caas.cn.ORCID http://orcid.org/0000-0002-5926-9798

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alfalfa (Medicago sativa L.), a globally important forage crop, is valued for its high nutritional quality and nitrogen-fixing capacity. Here, we present a high-quality pan-genome constructed from 24 diverse alfalfa accessions, encompassing a wide range of genetic backgrounds. This comprehensive analysis identified 433,765 structural variations and characterized 54,002 pan-gene families, highlighting the pivotal role of genomic diversity in alfalfa domestication and adaptation. Key structural variations associated with salt tolerance and quality traits were discovered, with functional analysis implicating genes such as MsMAP65 and MsGA3ox1. Notably, overexpression of MsGA3ox1 led to a reduced stem-leaf ratio and enhanced forage quality. The integration of genomic selection and marker-assisted breeding strategies improved genomic estimated breeding values across multiple traits, offering valuable genomic resources for advancing alfalfa breeding. These findings provide insights into the genetic basis of important agronomic traits and establish a solid foundation for future crop improvement.

Indexed as

Genes, PlantGenome, PlantGenomicsMedicago sativaPlant BreedingCrops, AgriculturalPhenotypeQuantitative Trait LociSalt Tolerance

Identifiers

What OpenQuestion holds

Textmetadata
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.