Literature DB >> 29161754

The Sorghum bicolor reference genome: improved assembly, gene annotations, a transcriptome atlas, and signatures of genome organization.

Ryan F McCormick1,2, Sandra K Truong1,2, Avinash Sreedasyam3, Jerry Jenkins3, Shengqiang Shu4, David Sims3, Megan Kennedy4, Mojgan Amirebrahimi4, Brock D Weers2, Brian McKinley2, Ashley Mattison1,2, Daryl T Morishige2, Jane Grimwood3,4, Jeremy Schmutz3,4, John E Mullet2.   

Abstract

Sorghum bicolor is a drought tolerant C4 grass used for the production of grain, forage, sugar, and lignocellulosic biomass and a genetic model for C4 grasses due to its relatively small genome (approximately 800 Mbp), diploid genetics, diverse germplasm, and colinearity with other C4 grass genomes. In this study, deep sequencing, genetic linkage analysis, and transcriptome data were used to produce and annotate a high-quality reference genome sequence. Reference genome sequence order was improved, 29.6 Mbp of additional sequence was incorporated, the number of genes annotated increased 24% to 34 211, average gene length and N50 increased, and error frequency was reduced 10-fold to 1 per 100 kbp. Subtelomeric repeats with characteristics of Tandem Repeats in Miniature (TRIM) elements were identified at the termini of most chromosomes. Nucleosome occupancy predictions identified nucleosomes positioned immediately downstream of transcription start sites and at different densities across chromosomes. Alignment of more than 50 resequenced genomes from diverse sorghum genotypes to the reference genome identified approximately 7.4 M single nucleotide polymorphisms (SNPs) and 1.9 M indels. Large-scale variant features in euchromatin were identified with periodicities of approximately 25 kbp. A transcriptome atlas of gene expression was constructed from 47 RNA-seq profiles of growing and developed tissues of the major plant organs (roots, leaves, stems, panicles, and seed) collected during the juvenile, vegetative and reproductive phases. Analysis of the transcriptome data indicated that tissue type and protein kinase expression had large influences on transcriptional profile clustering. The updated assembly, annotation, and transcriptome data represent a resource for C4 grass research and crop improvement.
© 2017 The Authors The Plant Journal © 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Sorghum bicolorzzm321990; discrete Fourier transform; gene annotation; genetic variation; genome assembly; kinase; nucleosome occupancy; reference genome; satellite DNA

Mesh:

Substances:

Year:  2017        PMID: 29161754     DOI: 10.1111/tpj.13781

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  112 in total

1.  Comparative evolutionary genetics of deleterious load in sorghum and maize.

Authors:  Roberto Lozano; Elodie Gazave; Jhonathan P R Dos Santos; Markus G Stetter; Ravi Valluru; Nonoy Bandillo; Samuel B Fernandes; Patrick J Brown; Nadia Shakoor; Todd C Mockler; Elizabeth A Cooper; M Taylor Perkins; Edward S Buckler; Jeffrey Ross-Ibarra; Michael A Gore
Journal:  Nat Plants       Date:  2021-01-15       Impact factor: 15.793

2.  Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence.

Authors:  Jacob D Washburn; Maria Katherine Mejia-Guerra; Guillaume Ramstein; Karl A Kremling; Ravi Valluru; Edward S Buckler; Hai Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-06       Impact factor: 11.205

3.  A new high-throughput assay for determining soluble sugar in sorghum internode-extracted juice.

Authors:  Yin Li; Rushabh Mehta; Joachim Messing
Journal:  Planta       Date:  2018-06-11       Impact factor: 4.116

4.  Comprehensive phylogenomic analysis of ERF genes in sorghum provides clues to the evolution of gene functions and redundancy among gene family members.

Authors:  Supriya Mathur; Sushree Sangita Priyadarshini; Vinay Singh; Ira Vashisht; Ki-Hong Jung; Rita Sharma; Manoj K Sharma
Journal:  3 Biotech       Date:  2020-02-25       Impact factor: 2.406

5.  Evolution of the RNA N 6-Methyladenosine Methylome Mediated by Genomic Duplication.

Authors:  Zhenyan Miao; Ting Zhang; Yuhong Qi; Jie Song; Zhaoxue Han; Chuang Ma
Journal:  Plant Physiol       Date:  2019-08-13       Impact factor: 8.340

6.  Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum.

Authors:  Chenyong Miao; Yuhang Xu; Sanzhen Liu; Patrick S Schnable; James C Schnable
Journal:  Plant Physiol       Date:  2020-05-27       Impact factor: 8.340

7.  Sterile Spikelets Contribute to Yield in Sorghum and Related Grasses.

Authors:  Taylor AuBuchon-Elder; Viktoriya Coneva; David M Goad; Lauren M Jenkins; Yunqing Yu; Doug K Allen; Elizabeth A Kellogg
Journal:  Plant Cell       Date:  2020-09-01       Impact factor: 11.277

8.  GWAS analysis of sorghum association panel lines identifies SNPs associated with disease response to Texas isolates of Colletotrichum sublineola.

Authors:  Louis K Prom; Ezekiel Ahn; Thomas Isakeit; Clint Magill
Journal:  Theor Appl Genet       Date:  2019-01-28       Impact factor: 5.699

9.  The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement.

Authors:  Emma Mace; David Innes; Colleen Hunt; Xuemin Wang; Yongfu Tao; Jared Baxter; Michael Hassall; Adrian Hathorn; David Jordan
Journal:  Theor Appl Genet       Date:  2018-10-20       Impact factor: 5.699

10.  De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes.

Authors:  Matthew B Hufford; Arun S Seetharam; Margaret R Woodhouse; Kapeel M Chougule; Shujun Ou; Jianing Liu; William A Ricci; Tingting Guo; Andrew Olson; Yinjie Qiu; Rafael Della Coletta; Silas Tittes; Asher I Hudson; Alexandre P Marand; Sharon Wei; Zhenyuan Lu; Bo Wang; Marcela K Tello-Ruiz; Rebecca D Piri; Na Wang; Dong Won Kim; Yibing Zeng; Christine H O'Connor; Xianran Li; Amanda M Gilbert; Erin Baggs; Ksenia V Krasileva; John L Portwood; Ethalinda K S Cannon; Carson M Andorf; Nancy Manchanda; Samantha J Snodgrass; David E Hufnagel; Qiuhan Jiang; Sarah Pedersen; Michael L Syring; David A Kudrna; Victor Llaca; Kevin Fengler; Robert J Schmitz; Jeffrey Ross-Ibarra; Jianming Yu; Jonathan I Gent; Candice N Hirsch; Doreen Ware; R Kelly Dawe
Journal:  Science       Date:  2021-08-06       Impact factor: 47.728

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