Evidence map›Paper›PMID 42288747›Full record

ArticleBMC plant biology2026

High resolution mapping of pleiotropic QTLs and candidate genes for seed quality using a whole genome resequencing approach in peanut (Arachis hypogaea L.).

Runfeng Wang, Lu Huang, Muhammad Jawad Umer, Qianxia Yu, Qi Liu, Qing Lu, Hao Liu, Haifen Li, Shaoxiong Li, Yanbin Hong and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Runfeng WangGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Lu HuangGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Muhammad Jawad UmerGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Qianxia YuGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Qi LiuGuangdong Academy of Agricultural Sciences, Key Laboratory of Genetics and Breeding of High-Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Rice Science and Technology, Guangdong Rice Engineering Laboratory, Rice Research Institute, Guangzhou, Guangdong, 510640, China.
Qing LuGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Hao LiuGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Haifen LiGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Shaoxiong LiGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Yanbin HongGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Xiaoping ChenGuangdong Provincial Key Laboratory of Crop Genetic Improvement, South China Peanut Sub-Center of National Center of Oilseed Crops Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China. chenxiaoping@gdaas.cn.

Funding

China Agriculture Research System of MOF and MARA CARS-13Guangdong Provincial Key Research and Development Program-Modern Seed Industry 2022B0202060004National Key Research and Development Program of China 2023YFD1202800The Project of Collaborative Innovation Center of GDAAS XTXM202203
6 · The paper itself

Abstract

backgroundPeanut (Arachis hypogaea L.) is a major oilseed crop, and seed quality particularly total oil content, the balance between oleic and linoleic acids, and protein level is a primary target for breeding and health oriented improvement. Recent advances in peanut genomics, including high quality reference genomes, have created new opportunities for precision breeding; however, comprehensive high density linkage maps coupled with functional validation of quality related loci remain limited.

methodsIn this study, we constructed a high density genetic linkage map comprising 4,746 bin markers spanning 3,328.40 cM, with an average marker interval of 0.70 cM. Using multi environment phenotypic data collected over four years, we identified 48 quantitative trait loci (QTLs) controlling eight seed quality traits, including oleic acid, linoleic acid, palmitic acid, total oil content, and protein content.

resultsPleiotropy analysis revealed 20 QTL clusters, highlighting shared genetic control among multiple quality traits. Integrative genomic annotation further identified 20 candidate genes involved in fatty acid biosynthesis and lipid metabolism. Notably, haplotype analysis of Ahy_A09g042118 (AhFATB1) uncovered a functional non-synonymous SNP associated with significant variation in total oil content and fatty acid composition. The favorable haplotypes showed contrasting effects on oleic, linoleic, and palmitic acid accumulation without affecting protein content, indicating a key role of AhFATB1 in modulating carbon flux within seed lipid biosynthesis.

conclusionsCollectively, these findings elucidate the genetic architecture underlying peanut seed quality traits and provide valuable molecular targets for marker assisted selection, particularly for the development of high oil and high oleic peanut cultivars.

Indexed as

ArachisGenetic PleiotropyQuantitative Trait LociSeedsChromosome MappingGenes, PlantGenome, PlantPhenotypeWhole Genome SequencingGenetic mappingPeanutQuality traitsQuantitative trait loci (QTLs)

Identifiers

PMID42288747
PMCPMC13495524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.