Improved maize reference genome with single-molecule technologies

作者：Yinping Jiao, Paul Peluso, Jinghua Shi, Tiffany Y Liang, Michelle C. Stitzer, Bo Wang, Michael S. Campbell, Joshua C. Stein, Xuehong Wei, Chen-Shan Chin, Katherine E. Guill, Michael Regulski, Sunita Kumari, Andrew Olson, Jonathan I. Gent, Kevin Schneider, Thomas Wolfgruber, Michael R. May, Nathan M. Springer, Eric Antoniou, W. Richard McCombie, Gernot G. Presting, Michael D. McMullen, Jeffrey Ross‐Ibarra, R. Kelly Dawe, Alex Hastie, David R. Rank, Doreen Ware · 发表于：Nature · 年份：2017 · DOI：10.1038/nature22971 · 被引用次数：1369 · 研究领域：Genomics and Phylogenetic Studies、Chromosomal and Genetic Variations、Plant Disease Resistance and Genetics

An improved reference genome for maize, using single-molecule sequencing and high-resolution optical mapping, enables characterization of structural variation and repetitive regions, and identifies lineage expansions of transposable elements that are unique to maize. The maize genome was initially reported in 2009 but with some accuracy limitations. Doreen Ware and colleagues report a new reference genome for maize using single-molecule sequencing and high-resolution optical mapping. The technique shows improvements in the gene space including resolution of gaps and misassemblies and correction of order and orientation of genes. The authors characterize structural variation and repetitive regions, and identify transposable element lineage expansions unique to maize. Complete and accurate reference genomes and annotations provide fundamental tools for characterization of genetic and functional variation1. These resources facilitate the determination of biological processes and support translation of research findings into improved and sustainable agricultural technologies. Many reference genomes for crop plants have been generated over the past decade, but these genomes are often fragmented and missing complex repeat regions2. Here we report the assembly and annotation of a reference genome of maize, a genetic and agricultural model species, using single-molecule real-time sequencing and high-resolution optical mapping. Relative to the previous reference genome3, our assembly ...