ArticlePloS one2016
QTL Mapping in Three Rice Populations Uncovers Major Genomic Regions Associated with African Rice Gall Midge Resistance.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Meta-QTL analysis of seed iron and zinc concentration and content in common bean (Phaseolus vulgaris L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Pooled it
- Review
- Molecular, genetic and biochemical strategies: rice's arsenal against gall midge.Molecular biology reports · 2025Review
- Determination of Rice Accession Status Using Infochemical and Visual Cues Emitted to Sustainably ControlInsects · 2025Article
- Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Delineating meta-quantitative trait loci for anthracnose resistance in common bean (Frontiers in plant science · 2022Article
- Physical Mapping of QTL in Four Spring Wheat Populations under Conventional and Organic Management Systems. I. Earliness.Plants (Basel, Switzerland) · 2021Article
- Characterization and application of a gall midge resistance gene (Gm6) from Oryza sativa 'Kangwenqingzhan'.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Identification of genomic regions associated with shoot fly resistance in maize and their syntenic relationships in the sorghum genome.PloS one · 2020Article
- Metabolome Analysis of Multi-Connected Biparental Chromosome Segment Substitution Line Populations.Plant physiology · 2018Article
- Comparative Transcriptome Analysis Between Resistant and Susceptible Rice Cultivars Responding to Striped Stem Borer (SSB),Frontiers in physiology · 2018Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
African rice gall midge (AfRGM) is one of the most destructive pests of irrigated and lowland African ecologies. This study aimed to identify the quantitative trait loci (QTL) associated with AfRGM pest incidence and resistance in three independent bi-parental rice populations (ITA306xBW348-1, ITA306xTOG7106 and ITA306xTOS14519), and to conduct meta QTL (mQTL) analysis to explore whether any genomic regions are conserved across different genetic backgrounds. Composite interval mapping (CIM) conducted on the three populations independently uncovered a total of 28 QTLs associated with pest incidence (12) and pest severity (16). The number of QTLs per population associated with AfRGM resistance varied from three in the ITA306xBW348-1 population to eight in the ITA306xTOG7106 population. Each QTL individually explained 1.3 to 34.1% of the phenotypic variance. The major genomic region for AfRGM resistance had a LOD score and R2 of 60.0 and 34.1% respectively, and mapped at 111 cM on chromosome 4 (qAfrGM4) in the ITA306xTOS14519 population. The meta-analysis reduced the number of QTLs from 28 to 17 mQTLs, each explaining 1.3 to 24.5% of phenotypic variance, and narrowed the confidence intervals by 2.2 cM. There was only one minor effect mQTL on chromosome 1 that was common in the TOS14519 and TOG7106 genetic backgrounds; all other mQTLs were background specific. We are currently fine-mapping and validating the major effect genomic region on chromosome 4 (qAfRGM4). This is the first report in mapping the genomic regions associated with the AfRGM resistance, and will be highly useful for rice breeders.
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