Literature DB >> 32042156

An inferred fitness consequence map of the rice genome.

Zoé Joly-Lopez1, Adrian E Platts1,2, Brad Gulko2, Jae Young Choi1, Simon C Groen1, Xuehua Zhong3, Adam Siepel2, Michael D Purugganan4,5.   

Abstract

The extent to which sequence variation impacts plant fitness is poorly understood. High-resolution maps detailing the constraint acting on the genome, especially in regulatory sites, would be beneficial as functional annotation of noncoding sequences remains sparse. Here, we present a fitness consequence (fitCons) map for rice (Oryza sativa). We inferred fitCons scores (ρ) for 246 inferred genome classes derived from nine functional genomic and epigenomic datasets, including chromatin accessibility, messenger RNA/small RNA transcription, DNA methylation, histone modifications and engaged RNA polymerase activity. These were integrated with genome-wide polymorphism and divergence data from 1,477 rice accessions and 11 reference genome sequences in the Oryzeae. We found ρ to be multimodal, with ~9% of the rice genome falling into classes where more than half of the bases would probably have a fitness consequence if mutated. Around 2% of the rice genome showed evidence of weak negative selection, frequently at candidate regulatory sites, including a novel set of 1,000 potentially active enhancer elements. This fitCons map provides perspective on the evolutionary forces associated with genome diversity, aids in genome annotation and can guide crop breeding programs.

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Year:  2020        PMID: 32042156      PMCID: PMC7446671          DOI: 10.1038/s41477-019-0589-3

Source DB:  PubMed          Journal:  Nat Plants        ISSN: 2055-0278            Impact factor:   15.793


  65 in total

1.  Inference of natural selection from interspersed genomic elements based on polymorphism and divergence.

Authors:  Ilan Gronau; Leonardo Arbiza; Jaaved Mohammed; Adam Siepel
Journal:  Mol Biol Evol       Date:  2013-02-05       Impact factor: 16.240

2.  An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequences.

Authors:  Brad Gulko; Adam Siepel
Journal:  Nat Genet       Date:  2018-12-17       Impact factor: 38.330

Review 3.  The rice genome revolution: from an ancient grain to Green Super Rice.

Authors:  Rod A Wing; Michael D Purugganan; Qifa Zhang
Journal:  Nat Rev Genet       Date:  2018-08       Impact factor: 53.242

4.  Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.

Authors:  Adam Siepel; Gill Bejerano; Jakob S Pedersen; Angie S Hinrichs; Minmei Hou; Kate Rosenbloom; Hiram Clawson; John Spieth; Ladeana W Hillier; Stephen Richards; George M Weinstock; Richard K Wilson; Richard A Gibbs; W James Kent; Webb Miller; David Haussler
Journal:  Genome Res       Date:  2005-07-15       Impact factor: 9.043

5.  Adaptive protein evolution in Drosophila.

Authors:  Nick G C Smith; Adam Eyre-Walker
Journal:  Nature       Date:  2002-02-28       Impact factor: 49.962

6.  Natural selection on protein-coding genes in the human genome.

Authors:  Carlos D Bustamante; Adi Fledel-Alon; Scott Williamson; Rasmus Nielsen; Melissa Todd Hubisz; Stephen Glanowski; David M Tanenbaum; Thomas J White; John J Sninsky; Ryan D Hernandez; Daniel Civello; Mark D Adams; Michele Cargill; Andrew G Clark
Journal:  Nature       Date:  2005-10-20       Impact factor: 49.962

7.  Adaptive protein evolution at the Adh locus in Drosophila.

Authors:  J H McDonald; M Kreitman
Journal:  Nature       Date:  1991-06-20       Impact factor: 49.962

8.  Population genetics of polymorphism and divergence.

Authors:  S A Sawyer; D L Hartl
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

9.  A method for calculating probabilities of fitness consequences for point mutations across the human genome.

Authors:  Brad Gulko; Melissa J Hubisz; Ilan Gronau; Adam Siepel
Journal:  Nat Genet       Date:  2015-01-19       Impact factor: 38.330

10.  Inferring Selective Constraint from Population Genomic Data Suggests Recent Regulatory Turnover in the Human Brain.

Authors:  Daniel R Schrider; Andrew D Kern
Journal:  Genome Biol Evol       Date:  2015-11-19       Impact factor: 3.416

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  10 in total

1.  A quantitative genomics map of rice provides genetic insights and guides breeding.

Authors:  Xin Wei; Jie Qiu; Kaicheng Yong; Jiongjiong Fan; Qi Zhang; Hua Hua; Jie Liu; Qin Wang; Kenneth M Olsen; Bin Han; Xuehui Huang
Journal:  Nat Genet       Date:  2021-02-01       Impact factor: 38.330

Review 2.  Rice functional genomics: decades' efforts and roads ahead.

Authors:  Rongzhi Chen; Yiwen Deng; Yanglin Ding; Jingxin Guo; Jie Qiu; Bing Wang; Changsheng Wang; Yongyao Xie; Zhihua Zhang; Jiaxin Chen; Letian Chen; Chengcai Chu; Guangcun He; Zuhua He; Xuehui Huang; Yongzhong Xing; Shuhua Yang; Daoxin Xie; Yaoguang Liu; Jiayang Li
Journal:  Sci China Life Sci       Date:  2021-12-07       Impact factor: 6.038

3.  Evolutionary systems biology reveals patterns of rice adaptation to drought-prone agro-ecosystems.

Authors:  Simon C Groen; Zoé Joly-Lopez; Adrian E Platts; Mignon Natividad; Zoë Fresquez; William M Mauck; Marinell R Quintana; Carlo Leo U Cabral; Rolando O Torres; Rahul Satija; Michael D Purugganan; Amelia Henry
Journal:  Plant Cell       Date:  2022-02-03       Impact factor: 11.277

4.  The first long-read nuclear genome assembly of Oryza australiensis, a wild rice from northern Australia.

Authors:  Aaron L Phillips; Scott Ferguson; Nathan S Watson-Haigh; Ashley W Jones; Justin O Borevitz; Rachel A Burton; Brian J Atwell
Journal:  Sci Rep       Date:  2022-06-25       Impact factor: 4.996

Review 5.  Advancing crop genomics from lab to field.

Authors:  Michael D Purugganan; Scott A Jackson
Journal:  Nat Genet       Date:  2021-05-06       Impact factor: 38.330

Review 6.  Ancestral sequence reconstruction - An underused approach to understand the evolution of gene function in plants?

Authors:  Federico Scossa; Alisdair R Fernie
Journal:  Comput Struct Biotechnol J       Date:  2021-03-16       Impact factor: 7.271

Review 7.  Cis-regulatory sequences in plants: Their importance, discovery, and future challenges.

Authors:  Robert J Schmitz; Erich Grotewold; Maike Stam
Journal:  Plant Cell       Date:  2022-02-03       Impact factor: 11.277

8.  Selection on Accessible Chromatin Regions in Capsella grandiflora.

Authors:  Robert Horvath; Emily B Josephs; Edouard Pesquet; John R Stinchcombe; Stephen I Wright; Douglas Scofield; Tanja Slotte
Journal:  Mol Biol Evol       Date:  2021-12-09       Impact factor: 16.240

9.  Deleterious Mutations and the Rare Allele Burden on Rice Gene Expression.

Authors:  Zoe Lye; Jae Young Choi; Michael D Purugganan
Journal:  Mol Biol Evol       Date:  2022-09-01       Impact factor: 8.800

Review 10.  Single cell gene regulatory networks in plants: Opportunities for enhancing climate change stress resilience.

Authors:  Rajiv K Tripathi; Olivia Wilkins
Journal:  Plant Cell Environ       Date:  2021-02-18       Impact factor: 7.228

  10 in total

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