Evidence map›Paper›PMID 36513415›Full record

ArticleJournal of advanced research2022

Genomic insights into the genetic signatures of selection and seed trait loci in cultivated peanut.

Yiyang Liu, Libin Shao, Jing Zhou, Rongchong Li, Manish K Pandey, Yan Han, Feng Cui, Jialei Zhang, Feng Guo, Jing Chen and 9 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Identification of photosynthetic pigment content-related genes in peanut (Arachis hypogaea L.) by GWAS and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  5. Genome-Wide Identification and Expression Analysis of theCurrent issues in molecular biology · 2025
    Article
  6. Research Progress on High-Protein Peanut (Plants (Basel, Switzerland) · 2025
    Review
  7. Review
  8. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
    Review
  9. Genomic insights into the genetic basis of the seed size and weight revealed by the Chinese peanut key landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  10. Article
  11. Article
  12. Article
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  14. Designing future peanut: the power of genomics-assisted breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genome-Wide Analysis of the SNARE Family in Cultivated Peanut (International journal of molecular sciences · 2023
    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

19 authors.

Yiyang LiuProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China.
Libin ShaoBGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong Province, China.
Jing ZhouBGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong Province, China.
Rongchong LiProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China.
Manish K PandeyCenter of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India.
Yan HanCollege of Life Sciences, Shandong Normal University, Ji'nan 250014, Shandong Province, China.
Feng CuiProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China.
Jialei ZhangProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China.
Feng GuoProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China.
Jing ChenShandong Peanut Research Institute, Qingdao 266000, China.
Shihua ShanShandong Peanut Research Institute, Qingdao 266000, China.
Guangyi FanBGI-Qingdao, BGI-Shenzhen, Qingdao, Shandong Province, China; State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China.
He ZhangState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China.
Inge SeimIntegrative Biology Laboratory, College of Life Sciences, Nanjing Normal University, Wenyuan Road, Nanjing 210023, China; School of Biology and Environmental Science, Queensland University of Technology, Brisbane 4000, Australia.
Xin LiuState Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China.
Xinguo LiProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China. Electronic address: xinguol@163.com.
Rajeev K VarshneyCenter of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India; The UWA Institute of Agriculture, the University of Western Australia, Perth, WA 6001, Australia; State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Murdoch University, Murdoch, Western Australia, Australia. Electronic address: R.K.Varshney@cgiar.org.
Guowei LiProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China; College of Life Sciences, Shandong Normal University, Ji'nan 250014, Shandong Province, China. Electronic address: liguowei@sdnu.edu.cn.
Shubo WanProvincial Key Laboratory of Crop Genetic Improvement, Ecology and Physiology, Institute of Crop Germplasm Resources, Shandong Academy of Agricultural Sciences, Ji'nan 250100, Shandong Province, China. Electronic address: wanshubo2016@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCultivated peanut (Arachis hypogaea L.) is an important oil crop for human nutrition and is cultivated in >100 countries. However, the present knowledge of its genomic diversity, evolution, and loci related to the seed traits is limited.

objectivesOur study intended to (1) uncover the population structure and the demographic history of peanuts, (2) identify signatures of selection that occurred during peanut improvement breeding, and (3) detect and verify the functions of candidate genes associated with seed traits.

methodsWe explored the population relationship and the evolution of peanuts using a largescale single nucleotide polymorphism dataset generated from the genome-wide resequencing of 203 cultivated peanuts. Genetic diversity and genomic scan analyses were applied to identify selective loci for genomic-selection breeding. Genome-wide association studies, transgenic experiments, and RNA-seq were employed to identify the candidate genes associated with seed traits.

resultsOur study revealed that the 203 resequenced accessions were divided into four genetic groups, consistent with their botanical classification. Moreover, the var. peruviana and var. fastigiata subpopulations have diverged to a greater extent than the others, and var. peruviana may be the earliest variant in the evolution from tetraploid ancestors. A recent dramatic expansion in the effective population size of the cultivated peanuts ca. 300-500 years ago was also noted. Selective sweeps underlying quantitative trait loci and genes of seed size, plant architecture, and disease resistance coincide with the major goals of improved peanut breeding compared with the landrace and cultivar populations. Genome-wide association testing with functional analysis led to the identification of two genes involved in seed weight and seed length regulation.

conclusionOur study provides valuable information for understanding the genomic diversity and the evolution of peanuts and serves as a genomic basis for improving peanut cultivars.

Indexed as

ArachisGenome-Wide Association StudyChromosome MappingGenome, PlantGenomicsPlant BreedingSeedsEvolutionGenomic diversityGWASPeanutSeed traits

Identifiers

PMID36513415
PMCPMC9788939

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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.