Literature DB >> 33276449

Identification of Novel Genomic Associations and Gene Candidates for Grain Starch Content in Sorghum.

Sirjan Sapkota1,2, J Lucas Boatwright1,2, Kathleen Jordan1, Richard Boyles2,3, Stephen Kresovich1,2.   

Abstract

Starch accumulated in the endosperm of cereal grains as reserve energy for germination serves as a staple in human and animal nutrition. Unraveling genetic control for starch metabolism is important for breeding grains with high starch content. In this study, we used a sorghum association panel with 389 individuals and 141,557 single nucleotide polymorphisms (SNPs) to fit linear mixed models (LMM) for identifying genomic regions and potential candidate genes associated with starch content. Three associated genomic regions, one in chromosome (chr) 1 and two novel associations in chr-8, were identified using combination of LMM and Bayesian sparse LMM. All significant SNPs were located within protein coding genes, with SNPs ∼ 52 Mb of chr-8 encoding a Casperian strip membrane protein (CASP)-like protein (Sobic.008G111500) and a heat shock protein (HSP) 90 (Sobic.008G111600) that were highly expressed in reproductive tissues including within the embryo and endosperm. The HSP90 is a potential hub gene with gene network of 75 high-confidence first interactors that is enriched for five biochemical pathways including protein processing. The first interactors of HSP90 also showed high transcript abundance in reproductive tissues. The candidates of this study are likely involved in intricate metabolic pathways and represent candidate gene targets for source-sink activities and drought and heat stress tolerance during grain filling.

Entities:  

Keywords:  association mapping; cereal crops; gene network; genomics; grain composition; mixed-linear models; sorghum; starch

Mesh:

Substances:

Year:  2020        PMID: 33276449      PMCID: PMC7760202          DOI: 10.3390/genes11121448

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  40 in total

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2.  GAPIT: genome association and prediction integrated tool.

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4.  Functional and Evolutionary Analysis of the CASPARIAN STRIP MEMBRANE DOMAIN PROTEIN Family.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-08       Impact factor: 11.205

7.  Genome-wide efficient mixed-model analysis for association studies.

Authors:  Xiang Zhou; Matthew Stephens
Journal:  Nat Genet       Date:  2012-06-17       Impact factor: 38.330

Review 8.  Formation of starch in plant cells.

Authors:  Barbara Pfister; Samuel C Zeeman
Journal:  Cell Mol Life Sci       Date:  2016-05-11       Impact factor: 9.261

9.  An integrated and comparative approach towards identification, characterization and functional annotation of candidate genes for drought tolerance in sorghum (Sorghum bicolor (L.) Moench).

Authors:  Adugna Abdi Woldesemayat; Peter Van Heusden; Bongani K Ndimba; Alan Christoffels
Journal:  BMC Genet       Date:  2017-12-22       Impact factor: 2.797

10.  Whole-genome sequencing reveals untapped genetic potential in Africa's indigenous cereal crop sorghum.

Authors:  Emma S Mace; Shuaishuai Tai; Edward K Gilding; Yanhong Li; Peter J Prentis; Lianle Bian; Bradley C Campbell; Wushu Hu; David J Innes; Xuelian Han; Alan Cruickshank; Changming Dai; Céline Frère; Haikuan Zhang; Colleen H Hunt; Xianyuan Wang; Tracey Shatte; Miao Wang; Zhe Su; Jun Li; Xiaozhen Lin; Ian D Godwin; David R Jordan; Jun Wang
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

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1.  Deep polygenic neural network for predicting and identifying yield-associated genes in Indonesian rice accessions.

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Journal:  Sci Rep       Date:  2022-08-15       Impact factor: 4.996

  1 in total

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