Literature DB >> 32341525

Genome-wide selection and genetic improvement during modern maize breeding.

Baobao Wang1, Zechuan Lin2, Xin Li1, Yongping Zhao1, Binbin Zhao1, Guangxia Wu1, Xiaojing Ma1, Hai Wang1, Yurong Xie1, Quanquan Li1,3, Guangshu Song4, Dexin Kong5, Zhigang Zheng5, Hongbin Wei5, Rongxin Shen5, Hong Wu5, Cuixia Chen3, Zhaodong Meng6, Tianyu Wang7, Yu Li7, Xinhai Li7, Yanhui Chen8, Jinsheng Lai9, Matthew B Hufford10, Jeffrey Ross-Ibarra11, Hang He12, Haiyang Wang13,14.   

Abstract

Since the development of single-hybrid maize breeding programs in the first half of the twentieth century1, maize yields have increased over sevenfold, and much of that increase can be attributed to tolerance of increased planting density2-4. To explore the genomic basis underlying the dramatic yield increase in maize, we conducted a comprehensive analysis of the genomic and phenotypic changes associated with modern maize breeding through chronological sampling of 350 elite inbred lines representing multiple eras of germplasm from both China and the United States. We document several convergent phenotypic changes in both countries. Using genome-wide association and selection scan methods, we identify 160 loci underlying adaptive agronomic phenotypes and more than 1,800 genomic regions representing the targets of selection during modern breeding. This work demonstrates the use of the breeding-era approach for identifying breeding signatures and lays the foundation for future genomics-enabled maize breeding.

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Year:  2020        PMID: 32341525     DOI: 10.1038/s41588-020-0616-3

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  51 in total

1.  Comparative population genomics of maize domestication and improvement.

Authors:  Matthew B Hufford; Xun Xu; Joost van Heerwaarden; Tanja Pyhäjärvi; Jer-Ming Chia; Reed A Cartwright; Robert J Elshire; Jeffrey C Glaubitz; Kate E Guill; Shawn M Kaeppler; Jinsheng Lai; Peter L Morrell; Laura M Shannon; Chi Song; Nathan M Springer; Ruth A Swanson-Wagner; Peter Tiffin; Jun Wang; Gengyun Zhang; John Doebley; Michael D McMullen; Doreen Ware; Edward S Buckler; Shuang Yang; Jeffrey Ross-Ibarra
Journal:  Nat Genet       Date:  2012-06-03       Impact factor: 38.330

2.  Genomic estimation of complex traits reveals ancient maize adaptation to temperate North America.

Authors:  Kelly Swarts; Rafal M Gutaker; Bruce Benz; Michael Blake; Robert Bukowski; James Holland; Melissa Kruse-Peeples; Nicholas Lepak; Lynda Prim; M Cinta Romay; Jeffrey Ross-Ibarra; Jose de Jesus Sanchez-Gonzalez; Chris Schmidt; Verena J Schuenemann; Johannes Krause; R G Matson; Detlef Weigel; Edward S Buckler; Hernán A Burbano
Journal:  Science       Date:  2017-08-04       Impact factor: 47.728

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

4.  Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding.

Authors:  Haijun Liu; Xiaqing Wang; Marilyn L Warburton; Weiwei Wen; Minliang Jin; Min Deng; Jie Liu; Hao Tong; Qingchun Pan; Xiaohong Yang; Jianbing Yan
Journal:  Mol Plant       Date:  2015-01-22       Impact factor: 13.164

Review 5.  Technological advances in maize breeding: past, present and future.

Authors:  Carson Andorf; William D Beavis; Matthew Hufford; Stephen Smith; Walter P Suza; Kan Wang; Margaret Woodhouse; Jianming Yu; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2019-02-23       Impact factor: 5.699

6.  A large-scale screen for artificial selection in maize identifies candidate agronomic loci for domestication and crop improvement.

Authors:  Masanori Yamasaki; Maud I Tenaillon; Irie Vroh Bi; Steve G Schroeder; Hector Sanchez-Villeda; John F Doebley; Brandon S Gaut; Michael D McMullen
Journal:  Plant Cell       Date:  2005-10-14       Impact factor: 11.277

7.  The effects of artificial selection on the maize genome.

Authors:  Stephen I Wright; Irie Vroh Bi; Steve G Schroeder; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut
Journal:  Science       Date:  2005-05-27       Impact factor: 47.728

8.  A comprehensive study of the genomic differentiation between temperate Dent and Flint maize.

Authors:  Sandra Unterseer; Saurabh D Pophaly; Regina Peis; Peter Westermeier; Manfred Mayer; Michael A Seidel; Georg Haberer; Klaus F X Mayer; Bernardo Ordas; Hubert Pausch; Aurélien Tellier; Eva Bauer; Chris-Carolin Schön
Journal:  Genome Biol       Date:  2016-07-08       Impact factor: 13.583

9.  The interplay of demography and selection during maize domestication and expansion.

Authors:  Li Wang; Timothy M Beissinger; Anne Lorant; Claudia Ross-Ibarra; Jeffrey Ross-Ibarra; Matthew B Hufford
Journal:  Genome Biol       Date:  2017-11-13       Impact factor: 13.583

10.  Selection Signatures Underlying Dramatic Male Inflorescence Transformation During Modern Hybrid Maize Breeding.

Authors:  Joseph L Gage; Michael R White; Jode W Edwards; Shawn Kaeppler; Natalia de Leon
Journal:  Genetics       Date:  2018-09-26       Impact factor: 4.562

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  22 in total

1.  A SNP-based GWAS and functional haplotype-based GWAS of flag leaf-related traits and their influence on the yield of bread wheat (Triticum aestivum L.).

Authors:  Shulin Chen; Fang Liu; Wenxue Wu; Yong Jiang; Kehui Zhan
Journal:  Theor Appl Genet       Date:  2021-08-26       Impact factor: 5.699

2.  Target-oriented prioritization: targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding.

Authors:  Wenyu Yang; Tingting Guo; Jingyun Luo; Ruyang Zhang; Jiuran Zhao; Marilyn L Warburton; Yingjie Xiao; Jianbing Yan
Journal:  Genome Biol       Date:  2022-03-15       Impact factor: 13.583

3.  Genomic insights into historical improvement of heterotic groups during modern hybrid maize breeding.

Authors:  Chunhui Li; Honghui Guan; Xin Jing; Yaoyao Li; Baobao Wang; Yongxiang Li; Xuyang Liu; Dengfeng Zhang; Cheng Liu; Xiaoqing Xie; Haiyan Zhao; Yanbo Wang; Jingbao Liu; Panpan Zhang; Guanghui Hu; Guoliang Li; Suiyan Li; Dequan Sun; Xiaoming Wang; Yunsu Shi; Yanchun Song; Chengzhi Jiao; Jeffrey Ross-Ibarra; Yu Li; Tianyu Wang; Haiyang Wang
Journal:  Nat Plants       Date:  2022-07-18       Impact factor: 17.352

4.  The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize.

Authors:  Xiaopeng Sun; Yanli Xiang; Nannan Dou; Hui Zhang; Surui Pei; Arcadio Valdes Franco; Mitra Menon; Brandon Monier; Taylor Ferebee; Tao Liu; Sanyang Liu; Yuchi Gao; Jubin Wang; William Terzaghi; Jianbing Yan; Sarah Hearne; Lin Li; Feng Li; Mingqiu Dai
Journal:  Nat Biotechnol       Date:  2022-10-13       Impact factor: 68.164

5.  Network and Evolutionary Analysis Reveals Candidate Genes of Membrane Trafficking Involved in Maize Seed Development and Immune Response.

Authors:  Chunyan Zheng; Yin Yu; Guiling Deng; Hanjie Li; Faqiang Li
Journal:  Front Plant Sci       Date:  2022-06-24       Impact factor: 6.627

6.  PANNZER-A practical tool for protein function prediction.

Authors:  Petri Törönen; Liisa Holm
Journal:  Protein Sci       Date:  2021-10-14       Impact factor: 6.725

7.  Genome structure variation analyses of peach reveal population dynamics and a 1.67 Mb causal inversion for fruit shape.

Authors:  Jiantao Guan; Yaoguang Xu; Yang Yu; Jun Fu; Fei Ren; Jiying Guo; Jianbo Zhao; Quan Jiang; Jianhua Wei; Hua Xie
Journal:  Genome Biol       Date:  2021-01-05       Impact factor: 13.583

8.  Functional gene assessment of bread wheat: breeding implications in Ningxia Province.

Authors:  Weijun Zhang; Junjie Zhao; Jinshang He; Ling Kang; Xiaoliang Wang; Fuguo Zhang; Chenyang Hao; Xiongfeng Ma; Dongsheng Chen
Journal:  BMC Plant Biol       Date:  2021-02-18       Impact factor: 4.215

9.  Plant-ImputeDB: an integrated multiple plant reference panel database for genotype imputation.

Authors:  Yingjie Gao; Zhiquan Yang; Wenqian Yang; Yanbo Yang; Jing Gong; Qing-Yong Yang; Xiaohui Niu
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

10.  Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance.

Authors:  Xi Wu; Hui Feng; Di Wu; Shijuan Yan; Pei Zhang; Wenbin Wang; Jun Zhang; Junli Ye; Guoxin Dai; Yuan Fan; Weikun Li; Baoxing Song; Zedong Geng; Wanli Yang; Guoxin Chen; Feng Qin; William Terzaghi; Michelle Stitzer; Lin Li; Lizhong Xiong; Jianbing Yan; Edward Buckler; Wanneng Yang; Mingqiu Dai
Journal:  Genome Biol       Date:  2021-06-24       Impact factor: 13.583

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