Evidence map›Paper›PMID 25805315›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2015

Quantitative trait locus analysis of agronomic and quality-related traits in cultivated peanut (Arachis hypogaea L.).

Li Huang, Haiyan He, Weigang Chen, Xiaoping Ren, Yuning Chen, Xiaojing Zhou, Youlin Xia, Xiaolin Wang, Xiangguo Jiang, Boshou Liao and 1 more

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

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62citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

62 citing papers in PubMed.

  1. Article
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  7. Research Progress on High-Protein Peanut (Plants (Basel, Switzerland) · 2025
    Review
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  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
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  12. Designing future peanut: the power of genomics-assisted breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Review
  13. Article
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  15. Article
  16. Article
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  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

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, 430062, China.
Haiyan He
Weigang Chen
Xiaoping Ren
Yuning Chen
Xiaojing Zhou
Youlin Xia
Xiaolin Wang
Xiangguo Jiang
Boshou Liao
Huifang Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageSSR-based QTL mapping provides useful information for map-based cloning of major QTLs and can be used to improve the agronomic and quality traits in cultivated peanut by marker-assisted selection. Cultivated peanut (Arachis hypogaea L.) is an allotetraploid species (AABB, 2n = 4× = 40), valued for its edible oil and digestible protein. Linkage mapping has been successfully conducted for most crops, and it has been applied to detect the quantitative trait loci (QTLs) of biotic and abiotic traits in peanut. However, the genetic basis of agronomic and quality-related traits remains unclear. In this study, high levels of phenotypic variation, broad-sense heritability and significant correlations were observed for agronomic and quality-related traits in an F 2:3 population. A genetic linkage map was constructed for cultivated peanut containing 470 simple sequence repeat (SSR) loci, with a total length of 1877.3 cM and average distance of 4.0 cM between flanking markers. For 10 agronomic traits, 24 QTLs were identified and each QTL explained 1.69-18.70 % of the phenotypic variance. For 8 quality-related traits, 12 QTLs were identified that explained 1.72-20.20 % of the phenotypic variance. Several QTLs for multiple traits were overlapped, reflecting the phenotypic correlation between these traits. The majority of QTLs exhibited obvious dominance or over-dominance effects on agronomic and quality traits, highlighting the importance of heterosis for breeding. A comparative analysis revealed genomic duplication and arrangement of peanut genome, which aids the assembly of scaffolds in genomic sequencing of Arachis hypogaea. Our QTL analysis results enabled us to clearly understand the genetic base of agronomic and quality traits in cultivated peanut, further accelerating the progress of map-based cloning of major QTLs and marker-assisted selection in future breeding.

Indexed as

Quantitative Trait, HeritableQuantitative Trait LociArachisBreedingChromosome MappingDNA, PlantGenetic LinkageGenetic MarkersGenome, PlantMicrosatellite RepeatsPhenotypeDNA, PlantGenetic Markers

Identifiers

PMID25805315
PMCPMC4434864

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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.