Integrating a genome-wide association study with a large-scale transcriptome analysis to predict genetic regions influencing the glycaemic index and texture in rice

被引:55
|
作者
Anacleto, Roslen [1 ]
Badoni, Saurabh [1 ]
Parween, Sabiha [1 ]
Butardo, Vito M., Jr. [1 ,2 ]
Misra, Gopal [1 ]
Paula Cuevas, Rosa [1 ]
Kuhlmann, Markus [3 ]
Trinidad, Trinidad P. [4 ]
Mallillin, Aida C. [4 ]
Acuin, Cecilia [1 ]
Bird, Anthony R. [5 ]
Morell, Matthew K. [1 ]
Sreenivasulu, Nese [1 ]
机构
[1] Int Rice Res Inst, Los Banos, Philippines
[2] Swinburne Univ Technol, Fac Sci Engn & Technol, Dept Chem & Biotechnol, Hawthorn, Vic, Australia
[3] Leibniz Inst Plant Genet & Crop Plant Res IPK, Gatersleben, Germany
[4] FNRI, Taguig City, Philippines
[5] CSIRO Hlth & Biosecur, Adelaide, SA, Australia
关键词
glycaemic index; final viscosity; genome-wide association study; transcriptome-wide association study; gene-regulatory network analysis; whole-genome bisulfite sequencing; APPARENT AMYLOSE CONTENT; BOUND STARCH SYNTHASE; BRANCHING-ENZYME-IIB; RESISTANT STARCH; WAXY GENE; IMPROVES INDEXES; FINE-STRUCTURE; DIGESTIBILITY; DOMESTICATION; INHIBITION;
D O I
10.1111/pbi.13051
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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 Wx(a)) 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.
引用
收藏
页码:1261 / 1275
页数:15
相关论文
共 50 条
  • [41] Genetic factors underlying anaerobic germination in rice: Genome-wide association study and transcriptomic analysis
    Thapa, Ranjita
    Tabien, Rodante E.
    Thomson, Michael J.
    Septiningsih, Endang M.
    PLANT GENOME, 2024, 17 (01):
  • [42] Deciphering the Genetic Basis of Allelopathy in japonica Rice Cultivated in Temperate Regions Using a Genome-Wide Association Study
    Garcia-Romeral, Julia
    Castanera, Raul
    Casacuberta, Josep
    Domingo, Concha
    RICE, 2024, 17 (01)
  • [43] A genome-wide association study to identify chromosomal regions influencing ovine cortisol response
    Pant, Sameer D.
    You, Qiumei
    Schenkel, Laila C.
    Vander Voort, Gordon
    Schenkel, Flavio S.
    Wilton, Jim
    Cain, Laura
    Karrow, Niel A.
    LIVESTOCK SCIENCE, 2016, 187 : 40 - 47
  • [44] Genome-Wide Association Analysis of the Genetic Basis for Sheath Blight Resistance in Rice
    Fan Zhang
    Dan Zeng
    Cong-Shun Zhang
    Jia-Ling Lu
    Teng-Jun Chen
    Jun-Ping Xie
    Yong-Li Zhou
    Rice, 2019, 12
  • [45] The genetic basis of grain protein content in rice by genome-wide association analysis
    Chen, Pingli
    Lou, Guangming
    Wang, Yufu
    Chen, Junxiao
    Chen, Wengfeng
    Fan, Zhilan
    Liu, Qing
    Sun, Bingrui
    Mao, Xingxue
    Yu, Hang
    Jiang, Liqun
    Zhang, Jing
    Lv, Shuwei
    Xing, Junlian
    Pan, Dajian
    Li, Chen
    He, Yuqing
    MOLECULAR BREEDING, 2023, 43 (01)
  • [46] Genome-Wide Association Analysis of the Genetic Basis for Sheath Blight Resistance in Rice
    Zhang, Fan
    Zeng, Dan
    Zhang, Cong-Shun
    Lu, Jia-Ling
    Chen, Teng-Jun
    Xie, Jun-Ping
    Zhou, Yong-Li
    RICE, 2019, 12 (01)
  • [47] The genetic basis of grain protein content in rice by genome-wide association analysis
    Pingli Chen
    Guangming Lou
    Yufu Wang
    Junxiao Chen
    Wengfeng Chen
    Zhilan Fan
    Qing Liu
    Bingrui Sun
    Xingxue Mao
    Hang Yu
    Liqun Jiang
    Jing Zhang
    Shuwei LV
    Junlian Xing
    Dajian Pan
    Chen Li
    Yuqing He
    Molecular Breeding, 2023, 43
  • [48] Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study
    Jiang, Su
    Wang, Dan
    Yan, Shuangyong
    Liu, Shiming
    Liu, Bin
    Kang, Houxiang
    Wang, Guo-Liang
    RICE, 2019, 12 (1)
  • [49] Genome-Wide Association Study of the Genetic Basis of Effective Tiller Number in Rice
    Ren, Mengmeng
    Huang, Minghan
    Qiu, Haiyang
    Chun, Yan
    Li, Lu
    Kumar, Ashmit
    Fang, Jingjing
    Zhao, Jinfeng
    He, Hang
    Li, Xueyong
    RICE, 2021, 14 (01)
  • [50] GENOME-WIDE ASSOCIATION STUDY IN A LARGE ASHKENAZI COHORT, FOLLOWED BY LARGE-SCALE REPLICATION, REVEALS NOVEL GENETIC LOCUS FOR SCHIZOPHRENIA AND BIPOLAR DISORDER
    Lencz, Todd
    Guha, S.
    Rosenfeld, J.
    DeRosse, Pamela
    Kane, John M.
    Malhotra, Anil K.
    Pe'er, I.
    Darvasi, A.
    SCHIZOPHRENIA BULLETIN, 2011, 37 : 88 - 89