Evidence map›Paper›PMID 31469515›Full record

ArticlePlant biotechnology journal2020

Genome-wide expression quantitative trait locus analysis in a recombinant inbred line population for trait dissection in peanut.

Li Huang, Xia Liu, Manish K Pandey, Xiaoping Ren, Haiwen Chen, Xiaomeng Xue, Nian Liu, Dongxin Huai, Yuning Chen, Xiaojing Zhou and 8 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Two bHLH Transcription Factor GenesPlants (Basel, Switzerland) · 2026
    Article
  2. A major qualitative trait locus increases antioxidant activity in testaless peanut seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Genetic mapping ofFrontiers in plant science · 2023
    Article
  9. Article
  10. Article
  11. BSA‑seq and genetic mapping reveals AhRt2 as a candidate gene responsible for red testa of peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Translational genomics for achieving higher genetic gains in groundnut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  17. 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

18 authors at 4 institutions in 2 countries.

Li HuangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Xia LiuNovogene Bioinformatics Technology Co., Ltd, Beijing, China.
Manish K PandeyCenter of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Xiaoping RenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Haiwen ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Xiaomeng XueKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Nian LiuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Dongxin HuaiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Yuning ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Xiaojing ZhouKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Huaiyong LuoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Weigang ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Yong LeiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Kede LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0002-1395-2049
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Rajeev K VarshneyCenter of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.ORCID 0000-0002-4562-9131
Boshou LiaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.
Huifang JiangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, China.ORCID 0000-0003-4087-205X
Chinese Academy of Agricultural Sciences · CNHuazhong Agricultural University · CNInternational Crops Research Institute for the Semi-Arid Tropics · INNovogene Bioinformatics Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcriptome connects genome to the gene function and ultimate phenome in biology. So far, transcriptomic approach was not used in peanut for performing trait mapping in bi-parental populations. In this research, we sequenced the whole transcriptome in immature seeds in a peanut recombinant inbred line (RIL) population and explored thoroughly the landscape of transcriptomic variations and its genetic basis. The comprehensive analysis identified total 49 691 genes in RIL population, of which 92 genes followed a paramutation-like expression pattern. Expression quantitative trait locus (eQTL) analysis identified 1207 local eQTLs and 15 837 distant eQTLs contributing to the whole-genome transcriptomic variation in peanut. There were 94 eQTL hot spot regions detected across the genome with the dominance of distant eQTL. By integrating transcriptomic profile and annotation analyses, we unveiled a putative candidate gene and developed a linked marker InDel02 underlying a major QTL responsible for purple testa colour in peanut. Our result provided a first understanding of genetic basis of whole-genome transcriptomic variation in peanut and illustrates the potential of the transcriptome-aid approach in dissecting important traits in non-model plants.

Indexed as

Quantitative Trait LociTranscriptomeArachisGenetic MarkersINDEL MutationPhenotypePlant BreedingGenetic Markersexpression quantitative trait loci (eQTLs)gene expression variationpeanutRNA-based sequencing (RNA-seq)testa colour

Identifiers

PMID31469515
PMCPMC7004917
OpenAlexW2971246202

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.