Evidence map›Paper›PMID 25849082›Full record

ArticlePloS one2015

Genetic mapping of QTLs controlling fatty acids provided insights into the genetic control of fatty acid synthesis pathway in peanut (Arachis hypogaea L.).

Ming Li Wang, Pawan Khera, Manish K Pandey, Hui Wang, Lixian Qiao, Suping Feng, Brandon Tonnis, Noelle A Barkley, David Pinnow, Corley C Holbrook and 3 more

Expression of concernOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

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  14. Genetic analysis and exploration of major effect QTLs underlying oil content in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Ming Li WangPlant Genetics Resources Conservation Unit, US Department of Agriculture-Agricultural Research Service, Griffin, Georgia, United States of America.
Pawan KheraCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America.
Manish K PandeyCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America.
Hui WangCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America; Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Lixian QiaoCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America; College of Life Science, Qingdao Agricultural University, Qingdao, Shandong, China.
Suping FengCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America; College of Bioscience and Biotechnology, Qiongzhou University, Sanya, Hainan, China.
Brandon TonnisPlant Genetics Resources Conservation Unit, US Department of Agriculture-Agricultural Research Service, Griffin, Georgia, United States of America.
Noelle A BarkleyPlant Genetics Resources Conservation Unit, US Department of Agriculture-Agricultural Research Service, Griffin, Georgia, United States of America.
David PinnowPlant Genetics Resources Conservation Unit, US Department of Agriculture-Agricultural Research Service, Griffin, Georgia, United States of America.
Corley C HolbrookCrop Genetics and Breeding Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America.
Albert K CulbreathDepartment of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India.
Baozhu GuoCrop Protection and Management Research Unit, US Department of Agriculture-Agricultural Research Service, Tifton, Georgia, United States of America; Department of Plant Pathology, University of Georgia, Tifton, Georgia, United States of America.
United States Department of Agriculture · USUniversity of Georgia · USAgricultural Research Service · USHainan Tropical Ocean University · CNInternational Crops Research Institute for the Semi-Arid Tropics · INQingdao Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peanut, a high-oil crop with about 50% oil content, is either crushed for oil or used as edible products. Fatty acid composition determines the oil quality which has high relevance to consumer health, flavor, and shelf life of commercial products. In addition to the major fatty acids, oleic acid (C18:1) and linoleic acid (C18:2) accounting for about 80% of peanut oil, the six other fatty acids namely palmitic acid (C16:0), stearic acid (C18:0), arachidic acid (C20:0), gadoleic acid (C20:1), behenic acid (C22:0), and lignoceric acid (C24:0) are accounted for the rest 20%. To determine the genetic basis and to improve further understanding on effect of FAD2 genes on these fatty acids, two recombinant inbred line (RIL) populations namely S-population (high oleic line 'SunOleic 97R' × low oleic line 'NC94022') and T-population (normal oleic line 'Tifrunner' × low oleic line 'GT-C20') were developed. Genetic maps with 206 and 378 marker loci for the S- and the T-population, respectively were used for quantitative trait locus (QTL) analysis. As a result, a total of 164 main-effect (M-QTLs) and 27 epistatic (E-QTLs) QTLs associated with the minor fatty acids were identified with 0.16% to 40.56% phenotypic variation explained (PVE). Thirty four major QTLs (>10% of PVE) mapped on five linkage groups and 28 clusters containing more than three QTLs were also identified. These results suggest that the major QTLs with large additive effects would play an important role in controlling composition of these minor fatty acids in addition to the oleic and linoleic acids in peanut oil. The interrelationship among these fatty acids should be considered while breeding for improved peanut genotypes with good oil quality and desired fatty acid composition.

Indexed as

Quantitative Trait LociArachisChromosome MappingChromosomes, PlantFatty Acid DesaturasesFatty AcidsGene Expression RegulationGenetic LinkageGenotypeMicrosatellite RepeatsPhenotypePlant ProteinsFatty Acid DesaturasesFatty AcidsPlant Proteins

Identifiers

PMID25849082
PMCPMC4388682
OpenAlexW2048439260

What OpenQuestion holds

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Registered trials

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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.