ArticleBMC plant biology2011
Mapping QTLs for oil traits and eQTLs for oleosin genes in jatropha.
Article in BMC plant biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 58 citations in OpenAlex.
- Genotyping by sequencing-based linkage map construction and identification of quantitative trait loci for yield-related traits and oil content in Jatropha (Jatropha curcas L.).Molecular biology reports · 2022Article
- Assessment of Molecular Diversity in Biofuel Crops.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Application of a high-resolution genetic map for chromosome-scale genome assembly and fine QTLs mapping of seed size and weight traits in castor bean.Scientific reports · 2019Article
- Genome sequence of Jatropha curcas L., a non-edible biodiesel plant, provides a resource to improve seed-related traits.Plant biotechnology journal · 2019Article
- Overexpression of a Transcription Factor Increases Lipid Content in a Woody PerennialFrontiers in plant science · 2018Article
- Construction of an ultrahigh-density genetic linkage map forBiotechnology for biofuels · 2018Article
- OsPPR6, a pentatricopeptide repeat protein involved in editing and splicing chloroplast RNA, is required for chloroplast biogenesis in rice.Plant molecular biology · 2017Article
- Expression profiling of genes involved in drought stress and leaf senescence in juvenile barley.BMC plant biology · 2016Article
- Article
- A Systems Genetics Approach Identifies Gene Regulatory Networks Associated with Fatty Acid Composition in Brassica rapa Seed.Plant physiology · 2016Article
- Mapping isoflavone QTL with main, epistatic and QTL × environment effects in recombinant inbred lines of soybean.PloS one · 2015Article
- Identification of QTL markers contributing to plant growth, oil yield and fatty acid composition in the oilseed crop Jatropha curcas L.Biotechnology for biofuels · 2015Article
- Leaf-residing Methylobacterium species fix nitrogen and promote biomass and seed production in Jatropha curcas.Biotechnology for biofuels · 2015Article
- Identification of candidate genes JcARF19 and JcIAA9 associated with seed size traits in Jatropha.Functional & integrative genomics · 2014Article
- Expression quantitative trait loci infer the regulation of isoflavone accumulation in soybean (Glycine max L. Merr.) seed.BMC genomics · 2014Article
- Differential expression analysis of transcripts related to oil metabolism in maturing seeds of Jatropha curcas L.Physiology and molecular biology of plants : an international journal of functional plant biology · 2014Article
- Article
- Evolution of oleosin in land plants.PloS one · 2014Article
- Jatropha curcas, a biofuel crop: functional genomics for understanding metabolic pathways and genetic improvement.Biotechnology journal · 2013Review
- Improvement of plant growth and seed yield in Jatropha curcas by a novel nitrogen-fixing root associated Enterobacter species.Biotechnology for biofuels · 2013Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe major fatty acids in seed oil of jatropha, a biofuel crop, are palmitic acid (C16:0), stearic acid (C18:0), oleic acid (C18:1) and linoleic acid (C18:2). High oleic acid and total oil content are desirable for jatropha breeding. Until now, little was known about the genetic bases of these oil traits in jatropha. In this study, quantitative trait locus (QTL) and expression QTL analyses were applied to identify genetic factors that are relevant to seed oil traits in jatropha.
resultsComposite interval mapping identified 18 QTL underlying the oil traits. A highly significant QTL qC18:1-1 was detected at one end of linkage group (LG) 1 with logarithm of the odd (LOD) 18.4 and percentage of variance explained (PVE) 36.0%. Interestingly, the QTL qC18:1-1 overlapped with qC18:2-1, controlling oleic acid and linoleic acid compositions. Among the significant QTL controlling total oil content, qOilC-4 was mapped on LG4 a relatively high significant level with LOD 5.0 and PVE 11.1%. Meanwhile, oleosins are the major composition in oil body affecting oil traits; we therefore developed SNP markers in three oleosin genes OleI, OleII and OleIII, which were mapped onto the linkage map. OleI and OleIII were mapped on LG5, closing to QTLs controlling oleic acid and stearic acid. We further determined the expressions of OleI, OleII and OleIII in mature seeds from the QTL mapping population, and detected expression QTLs (eQTLs) of the three genes on LGs 5, 6 and 8 respectively. The eQTL of OleIII, qOleIII-5, was detected on LG5 with PVE 11.7% and overlapped with QTLs controlling stearic acid and oleic acid, implying a cis- or trans-element for the OleIII affecting fatty acid compositions.
conclusionWe identified 18 QTLs underlying the oil traits and 3 eQTLs of the oleosin acid genes. The QTLs and eQTLs, especially qC18:1-1, qOilC-4 and qOleIII-5 with contribution rates (R2) higher than 10%, controlling oleic acid, total oil content and oleosin gene expression respectively, will provide indispensable data for initiating molecular breeding to improve seed oil traits in jatropha, the key crop for biodiesel production.
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