| Literature DB >> 34353948 |
Matthew B Hufford1, Arun S Seetharam1,2, Margaret R Woodhouse3, Kapeel M Chougule4, Shujun Ou1, Jianing Liu5, William A Ricci6, Tingting Guo7, Andrew Olson4, Yinjie Qiu8, Rafael Della Coletta8, Silas Tittes9,10, Asher I Hudson9,10, Alexandre P Marand5, Sharon Wei4, Zhenyuan Lu4, Bo Wang4, Marcela K Tello-Ruiz4, Rebecca D Piri11, Na Wang6, Dong Won Kim6, Yibing Zeng5, Christine H O'Connor8,12, Xianran Li7, Amanda M Gilbert8, Erin Baggs13, Ksenia V Krasileva13, John L Portwood3, Ethalinda K S Cannon3, Carson M Andorf3, Nancy Manchanda1, Samantha J Snodgrass1, David E Hufnagel1,14, Qiuhan Jiang1, Sarah Pedersen1, Michael L Syring1, David A Kudrna15, Victor Llaca16, Kevin Fengler16, Robert J Schmitz5, Jeffrey Ross-Ibarra9,10,17, Jianming Yu7, Jonathan I Gent6, Candice N Hirsch8, Doreen Ware18,4, R Kelly Dawe19.
Abstract
We report de novo genome assemblies, transcriptomes, annotations, and methylomes for the 26 inbreds that serve as the founders for the maize nested association mapping population. The number of pan-genes in these diverse genomes exceeds 103,000, with approximately a third found across all genotypes. The results demonstrate that the ancient tetraploid character of maize continues to degrade by fractionation to the present day. Excellent contiguity over repeat arrays and complete annotation of centromeres revealed additional variation in major cytological landmarks. We show that combining structural variation with single-nucleotide polymorphisms can improve the power of quantitative mapping studies. We also document variation at the level of DNA methylation and demonstrate that unmethylated regions are enriched for cis-regulatory elements that contribute to phenotypic variation.Entities:
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Year: 2021 PMID： 34353948 PMCID： PMC8733867 DOI： 10.1126/science.abg5289
Source DB: PubMed Journal: Science ISSN： 0036-8075 Impact factor: 47.728