Literature DB >> 33735256

Gene disruption by structural mutations drives selection in US rice breeding over the last century.

Justin N Vaughn1,2, Walid Korani2, Joshua C Stein3, Jeremy D Edwards4, Daniel G Peterson5, Sheron A Simpson1, Ramey C Youngblood5, Jane Grimwood6, Kapeel Chougule3, Doreen H Ware3,7, Anna M McClung4, Brian E Scheffler1.   

Abstract

The genetic basis of general plant vigor is of major interest to food producers, yet the trait is recalcitrant to genetic mapping because of the number of loci involved, their small effects, and linkage. Observations of heterosis in many crops suggests that recessive, malfunctioning versions of genes are a major cause of poor performance, yet we have little information on the mutational spectrum underlying these disruptions. To address this question, we generated a long-read assembly of a tropical japonica rice (Oryza sativa) variety, Carolina Gold, which allowed us to identify structural mutations (>50 bp) and orient them with respect to their ancestral state using the outgroup, Oryza glaberrima. Supporting prior work, we find substantial genome expansion in the sativa branch. While transposable elements (TEs) account for the largest share of size variation, the majority of events are not directly TE-mediated. Tandem duplications are the most common source of insertions and are highly enriched among 50-200bp mutations. To explore the relative impact of various mutational classes on crop fitness, we then track these structural events over the last century of US rice improvement using 101 resequenced varieties. Within this material, a pattern of temporary hybridization between medium and long-grain varieties was followed by recent divergence. During this long-term selection, structural mutations that impact gene exons have been removed at a greater rate than intronic indels and single-nucleotide mutations. These results support the use of ab initio estimates of mutational burden, based on structural data, as an orthogonal predictor in genomic selection.

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Year:  2021        PMID: 33735256      PMCID: PMC7971508          DOI: 10.1371/journal.pgen.1009389

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  46 in total

1.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

Review 2.  On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics.

Authors:  Jason G Wallace; Eli Rodgers-Melnick; Edward S Buckler
Journal:  Annu Rev Genet       Date:  2018-10-04       Impact factor: 16.830

3.  Historical genomics of North American maize.

Authors:  Joost van Heerwaarden; Matthew B Hufford; Jeffrey Ross-Ibarra
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-16       Impact factor: 11.205

Review 4.  Population genomics of rapid adaptation by soft selective sweeps.

Authors:  Philipp W Messer; Dmitri A Petrov
Journal:  Trends Ecol Evol       Date:  2013-09-25       Impact factor: 17.712

5.  progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement.

Authors:  Aaron E Darling; Bob Mau; Nicole T Perna
Journal:  PLoS One       Date:  2010-06-25       Impact factor: 3.240

6.  Dynamic Changes in the Rice Blast Population in the United States Over Six Decades.

Authors:  Xueyan Wang; Yulin Jia; Yeshi Wamishe; Melissa H Jia; Barbara Valent
Journal:  Mol Plant Microbe Interact       Date:  2017-08-17       Impact factor: 4.171

7.  RiTE database: a resource database for genus-wide rice genomics and evolutionary biology.

Authors:  Dario Copetti; Jianwei Zhang; Moaine El Baidouri; Dongying Gao; Jun Wang; Elena Barghini; Rosa M Cossu; Angelina Angelova; Carlos E Maldonado L; Stefan Roffler; Hajime Ohyanagi; Thomas Wicker; Chuanzhu Fan; Andrea Zuccolo; Mingsheng Chen; Antonio Costa de Oliveira; Bin Han; Robert Henry; Yue-Ie Hsing; Nori Kurata; Wen Wang; Scott A Jackson; Olivier Panaud; Rod A Wing
Journal:  BMC Genomics       Date:  2015-07-22       Impact factor: 3.969

8.  Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement.

Authors:  Bruce J Walker; Thomas Abeel; Terrance Shea; Margaret Priest; Amr Abouelliel; Sharadha Sakthikumar; Christina A Cuomo; Qiandong Zeng; Jennifer Wortman; Sarah K Young; Ashlee M Earl
Journal:  PLoS One       Date:  2014-11-19       Impact factor: 3.240

9.  Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing.

Authors:  Shunichi Kosugi; Yukihide Momozawa; Xiaoxi Liu; Chikashi Terao; Michiaki Kubo; Yoichiro Kamatani
Journal:  Genome Biol       Date:  2019-06-03       Impact factor: 13.583

10.  The genome sequence of African rice (Oryza glaberrima) and evidence for independent domestication.

Authors:  Muhua Wang; Yeisoo Yu; Georg Haberer; Pradeep Reddy Marri; Chuanzhu Fan; Jose Luis Goicoechea; Andrea Zuccolo; Xiang Song; Dave Kudrna; Jetty S S Ammiraju; Rosa Maria Cossu; Carlos Maldonado; Jinfeng Chen; Seunghee Lee; Nick Sisneros; Kristi de Baynast; Wolfgang Golser; Marina Wissotski; Woojin Kim; Paul Sanchez; Marie-Noelle Ndjiondjop; Kayode Sanni; Manyuan Long; Judith Carney; Olivier Panaud; Thomas Wicker; Carlos A Machado; Mingsheng Chen; Klaus F X Mayer; Steve Rounsley; Rod A Wing
Journal:  Nat Genet       Date:  2014-07-27       Impact factor: 38.330

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  1 in total

1.  Identification of quantitative trait loci for tillering, root, and shoot biomass at the maximum tillering stage in rice.

Authors:  Jinyoung Y Barnaby; Anna M McClung; Jeremy D Edwards; Shannon R M Pinson
Journal:  Sci Rep       Date:  2022-08-03       Impact factor: 4.996

  1 in total

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