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Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice.
Anacleto, Roslen; Badoni, Saurabh; Parween, Sabiha; Butardo, Vito M; Misra, Gopal; Cuevas, Rosa Paula; Kuhlmann, Markus; Trinidad, Trinidad P; Mallillin, Aida C; Acuin, Cecilia; Bird, Anthony R; Morell, Matthew K; Sreenivasulu, Nese.
Affiliation
  • Anacleto R; International Rice Research Institute, Los Baños, Philippines.
  • Badoni S; International Rice Research Institute, Los Baños, Philippines.
  • Parween S; International Rice Research Institute, Los Baños, Philippines.
  • Butardo VM; International Rice Research Institute, Los Baños, Philippines.
  • Misra G; Department of Chemistry and Biotechnology, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, Vic., Australia.
  • Cuevas RP; International Rice Research Institute, Los Baños, Philippines.
  • Kuhlmann M; International Rice Research Institute, Los Baños, Philippines.
  • Trinidad TP; The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
  • Mallillin AC; Food and Nutrition Research Institute (FNRI), Taguig City, Philippines.
  • Acuin C; Food and Nutrition Research Institute (FNRI), Taguig City, Philippines.
  • Bird AR; International Rice Research Institute, Los Baños, Philippines.
  • Morell MK; CSIRO Health and Biosecurity, Adelaide, SA, Australia.
  • Sreenivasulu N; International Rice Research Institute, Los Baños, Philippines.
Plant Biotechnol J ; 17(7): 1261-1275, 2019 07.
Article in En | MEDLINE | ID: mdl-30549178
ABSTRACT
Reliably generating rice varieties with low glycaemic index (GI) is an important nutritional intervention given the high rates of Type II diabetes incidences in Asia where rice is staple diet. We integrated a genome-wide association study (GWAS) with a transcriptome-wide association study (TWAS) to determine the genetic basis of the GI in rice. GWAS utilized 305 re-sequenced diverse indica panel comprising ~2.4 million single nucleotide polymorphisms (SNPs) enriched in genic regions. A novel association signal was detected at a synonymous SNP in exon 2 of LOC_Os05g03600 for intermediate-to-high GI phenotypic variation. Another major hotspot region was predicted for contributing intermediate-to-high GI variation, involves 26 genes on chromosome 6 (GI6.1). These set of genes included GBSSI, two hydrolase genes, genes involved in signalling and chromatin modification. The TWAS and methylome sequencing data revealed cis-acting functionally relevant genetic variants with differential methylation patterns in the hot spot GI6.1 region, narrowing the target to 13 genes. Conversely, the promoter region of GBSSI and its alternative splicing allele (G allele of Wxa ) explained the intermediate-to-high GI variation. A SNP (C˃T) at exon-10 was also highlighted in the preceding analyses to influence final viscosity (FV), which is independent of amylose content/GI. The low GI line with GC haplotype confirmed soft texture, while other two low GI lines with GT haplotype were characterized as hard and cohesive. The low GI lines were further confirmed through clinical in vivo studies. Gene regulatory network analysis highlighted the role of the non-starch polysaccharide pathway in lowering GI.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Glycemic Index / Transcriptome Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Plant Biotechnol J Journal subject: BIOTECNOLOGIA / BOTANICA Year: 2019 Type: Article Affiliation country: Philippines

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Oryza / Glycemic Index / Transcriptome Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Plant Biotechnol J Journal subject: BIOTECNOLOGIA / BOTANICA Year: 2019 Type: Article Affiliation country: Philippines