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De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes
Published version of a preprint
Abstract
An a-maize-ing set of genomes: Maize is an important crop cultivated worldwide. As maize spread across the world, selection for local environments resulted in variation, but the impact on differences between the genome has not been quantified. By producing high-quality genomic sequences of the 26 lines used in the maize nested association mapping panel, Hufford et al . map important traits and demonstrate the diversity of maize. Examining RNA and methylation of genes across accessions, the authors identified a core set of maize genes. Beyond this core set, comparative analysis across lines identified high levels of variation in the total set of genes, the maize pan-genome. The value of this resource was further exemplified by mapping quantitative traits of interest, including those related to pathogen resistance. —LMZ
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With GENESPACE and the recently released NAM parent genomes, it is now possible to evaluate candidate genes present in the genomes of other NAM founder lines but either absent or unannotated in the B73 reference genome.
“however, with GENESPACE and the recently released NAM parent genomes (Hufford et al., 2021), it is now possible to evaluate candidate genes present in the genomes of other NAM founder lines but either absent or unannotated in the B73 reference genome.”
From GENESPACE tracks regions of interest and gene copy number variation across multiple genomes (2022) · cites this paper as Hufford et al., 2021
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Tandem repeats finder: a program to analyze DNA sequences
Benson, G. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.2.573 · Cited by 9,374
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687
Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++
Davydov, E. V., Goode, D. L., Sirota, M., Cooper, G. M., Sidow, A., & Batzoglou, S. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001025 · Cited by 1,757
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
Kang, H. M., Subramaniam, M., Targ, S., Nguyen, M., Maliskova, L., McCarthy, E., Wan, E., Wong, S., Byrnes, L., Lanata, C. M., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4042 · Cited by 1,101
Flagged first, then by citations
Research works printed but not linked: 157
- 10.1105/tpc.113.119982 · DOI
- 10.1105/tpc.16.00353 · DOI
- 10.1038/srep18936 · DOI
- 10.1038/ncomms7914 · DOI
- 10.1038/s41477-019-0547-0 · DOI
- 10.1038/s41588-018-0182-0 · DOI
- 10.1038/s41588-020-0671-9 · DOI
- 10.1038/s41588-019-0427-6 · DOI
- 10.1186/s13059-021-02396-x · DOI
- 10.1038/s41588-018-0158-0 · DOI
- 10.1126/science.1174320 · DOI
- 10.1111/j.1365-313X.2005.02591.x · DOI
- 10.1534/genetics.107.074245 · DOI
- 10.1371/journal.pgen.1004845 · DOI
- 10.1105/tpc.113.114793 · DOI
- 10.1105/tpc.18.00299 · DOI
- 10.1038/nature22971 · DOI
- 10.1093/bioinformatics/btv351 · DOI · Paper page
- 10.1093/nar/gky730 · DOI
- 10.1038/s41467-020-16037-7 · DOI
- 10.1186/1471-2105-10-67 · DOI
- 10.1104/pp.114.245027 · DOI
- 10.1101/gr.2332504 · DOI
- 10.1016/j.molp.2015.04.004 · DOI
- 10.1073/pnas.1101368108 · DOI
- 10.1371/journal.pbio.1000409 · DOI
- 10.1093/gbe/evs009 · DOI
- 10.1105/tpc.110.074526 · DOI
- 10.1111/tpj.13765 · DOI
- 10.1534/genetics.111.137349 · DOI
- 10.1038/nplants.2016.84 · DOI
- 10.1038/s41477-018-0136-7 · DOI · Paper page
- 10.1186/s13059-019-1905-y · DOI
- 10.1371/journal.pgen.1000732 · DOI
- 10.1371/journal.pgen.1007162 · DOI
- 10.1016/j.cell.2018.03.009 · DOI
- 10.1159/000314342 · DOI
- 10.1073/pnas.1522008113 · DOI
- 10.1093/genetics/iyab020 · DOI
- 10.1101/gad.340679.120 · DOI
- 10.1186/s13059-020-02029-9 · DOI
- 10.1038/ng.2313 · DOI
- 10.1038/s41586-020-2371-0 · DOI · Paper page
- 10.1093/gbe/evt021 · DOI
- S. Seo, M. Okamoto, T. Iwai, M. Iwano, K. Fukui, A. Isogai, N. Nakajima, Y. Ohashi, Reduced levels of chloroplast FtsH protein in tobacco mosaic virus-infected tobacco leaves accelerate the hypersensitive reaction. Plant Cell 12, 917–932 (2000). 10852937
- 10.1038/s41598-020-57729-w · DOI
- 10.1186/s13059-018-1392-6 · DOI
- 10.1007/BF00260649 · DOI
- 10.1073/pnas.1718058115 · DOI
- 10.1073/pnas.1310949110 · DOI
- 10.1371/journal.pone.0043450 · DOI · Paper page
- 10.1111/tpj.13174 · DOI
- 10.1186/s13059-017-1273-4 · DOI
- 10.1073/pnas.2010250117 · DOI
- 10.1016/j.cell.2016.06.044 · DOI
- 10.1101/gr.146985.112 · DOI
- 10.1016/j.pbi.2016.12.007 · DOI
- 10.1038/s41467-020-19333-4 · DOI
- 10.1371/journal.pgen.1000734 · DOI
- J. J. Doyle, J. L. Doyle, A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem. Bull. 19, 11–15 (1987).
- 10.1385/1-59259-413-1:3 · DOI
- M. Vasimuddin S. Misra H. Li S. Aluru in 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019) pp. 314–324.
- R. Poplin V. Ruano-Rubio M. A. DePristo T. J. Fennell M. O. Carneiro G. A. Van der Auwera D. E. Kling L. D. Gauthier A. Levy-Moonshine D. Roazen K. Shakir J. Thibault S. Chandran C. Whelan M. Lek S. Gabriel M. J. Daly B. Neale D. G. MacArthur E. Banks Scaling Accurate Genetic Variant Discovery to Tens of Thousands of Samples. bioRxiv 201178v3 [Preprint]. 24 July 2018. https://doi.org/10.1101/201178. · DOI
- 10.1186/1471-2164-15-162 · DOI
- 10.1038/nmeth.4035 · DOI
- 10.1101/gr.215087.116 · DOI
- 10.1093/bioinformatics/bty191 · DOI · Paper page
- 10.1186/s13059-014-0573-1 · DOI
- 10.1023/A:1014893521186 · DOI
- 10.1038/s41467-018-07271-1 · DOI
- 10.1101/gr.214270.116 · DOI
- 10.1126/science.1178534 · DOI
- 10.1016/S0022-2836(05)80360-2 · DOI · Paper page
- 10.1186/s12864-020-6568-2 · DOI
- 10.1186/1471-2105-9-18 · DOI
- 10.1186/s13100-019-0193-0 · DOI
- 10.1104/pp.17.01310 · DOI
- A. Seetharam U. Singh J. Li P. Bhandary Z. Arendsee E. S. Wurtele Maximizing prediction of orphan genes in assembled genomes. bioRxiv 2019.12.17.880294 [Preprint]. 18 December 2019. https://doi.org/10.1101/2019.12.17.880294. · DOI
- 10.1038/nbt.1883 · DOI
- 10.1038/nbt.3122 · DOI
- 10.1371/journal.pcbi.1005851 · DOI
- 10.1038/nprot.2012.016 · DOI
- 10.1093/nar/gkw158 · DOI
- 10.1093/gigascience/giy093 · DOI
- 10.1093/gigascience/giy131 · DOI
- 10.1038/nprot.2013.084 · DOI · Paper page
- K. J. Hoff A. Lomsadze M. Borodovsky M. Stanke in Gene Prediction: Methods and Protocols M. Kollmar Ed. (Springer 2019) pp. 65–95. · DOI
- 10.1093/nar/gkg770 · DOI
- 10.1371/journal.pgen.1000740 · DOI
- 10.1101/gr.227462.117 · DOI
- 10.1093/bioinformatics/bti310 · DOI · Paper page
- 10.1038/ncomms11708 · DOI
- R.-G. Zhang Z.-X. Wang S. Ou G.-Y. Li TEsorter: Lineage-level classification of transposable elements using conserved protein domains. bioRxiv 800177 [Preprint]. 10 October 2019. https://doi.org/10.1101/800177. · DOI
- 10.1002/0471250953.bi0411s48 · DOI
- 10.1093/nar/gkaa979 · DOI
- 10.1093/bioinformatics/btq461 · DOI
- 10.1007/978-1-4939-8775-7_7 · DOI
- 10.1093/bioinformatics/btu031 · DOI
- A. J. Olson D. Ware Ranked choice voting for representative transcripts with TRaCE. bioRxiv 2020.12.15.422742 [Preprint]. https://doi.org/10.1101/2020.12.15.422742. · DOI
- 10.1101/gr.1857204 · DOI
- 10.1093/nar/gku365 · DOI · Paper page
- 10.1093/bib/bbs017 · DOI · Paper page
- 10.1186/1471-2164-14-774 · DOI
- 10.1093/bioinformatics/btx595 · DOI · Paper page
- W. Ricci Unmethylated regions encompass the functional space within the maize genome. bioRxiv 2021.04.21.425900 [Preprint]. 22 April 2021. https://doi.org/10.1101/2021.04.21.425900. · DOI
- 10.1016/j.tig.2012.10.012 · DOI
- 10.1371/journal.pcbi.1003118 · DOI
- 10.1093/bioinformatics/bty560 · DOI · Paper page
- 10.1038/nmeth.1923 · DOI · Paper page
- 10.1093/bioinformatics/btv098 · DOI
- J. M. Gaspar Improved peak-calling with MACS2. bioRxiv 496521v1 [Preprint]. 17 December 2018. .10.1101/496521 · DOI
- 10.1186/s12864-020-6696-8 · DOI
- 10.1371/journal.pcbi.1005944 · DOI · Paper page
- 10.1016/j.molp.2019.02.008 · DOI
- 10.1073/pnas.0403659101 · DOI
- 10.1093/bioinformatics/bth397 · DOI · Paper page
- 10.1111/j.1365-313X.2007.03326.x · DOI
- 10.1093/nar/gkx382 · DOI
- 10.1038/s41592-018-0001-7 · DOI
- 10.1038/ncomms14061 · DOI
- 10.1038/nbt.1754 · DOI · Paper page
- B. Steuernagel K. Witek S. G. Krattinger R. H. Ramirez-Gonzalez H. Schoonbeek Y. Guotai E. Baggs A. Witek I. Yadav K. V. Krasileva J. D. G. Jones C. Uauy B. Keller C. J. Ridout B. Wulff Physical and transcriptional organisation of the bread wheat intracellular immune receptor repertoire. King Abdullah University of Science and Technology University Library [Preprint]. 5 June 2018. https://repository.kaust.edu.sa/handle/10754/628448 · DOI
- 10.1038/s41467-017-02292-8 · DOI
- 10.1186/s12915-016-0228-7 · DOI
- de W. Van, F. Monteiro, O. J. Furzer, M. T. Nishimura, V. Cevik, K. Witek, J. D. G. Jones, J. L. Dangl, D. Weigel, F. Bemm, A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana. Cell 178, 126–1272.e14 (2019).
- 10.1093/bioinformatics/btu033 · DOI · Paper page
- 10.1093/nar/gkw290 · DOI
- 10.1371/journal.pone.0028819 · DOI
- 10.1186/s13059-015-0670-9 · DOI
- 10.1093/nar/gku104 · DOI
- 10.1093/bioinformatics/btw742 · DOI
- 10.1101/gr.113985.110 · DOI
- B. Song H. Wang Y. Wu E. Rees D. J. Gates M. Burch P. J. Bradbury J. Ross-Ibarra E. A. Kellogg M. B. Hufford M. Cinta Romay E. S. Buckler Constrained non-coding sequence provides insights into regulatory elements and loss of gene expression in maize. bioRxiv 2020.07.11.192575 [Preprint]. 13 July 2020. https://doi.org/10.1101/2020.07.11.192575. · DOI
- 10.1038/hdy.2014.123 · DOI
- 10.1093/molbev/msy228 · DOI
- 10.1038/ng.2309 · DOI
- 10.1093/molbev/msi228 · DOI
- B. C. Haller, SLiM: An Evolutionary Simulation Framework. Note: If you wish to cite SLiM 2 in a publication, please DO NOT cite this manual (unless you are, in fact, specifically referring to this manual–such as citing one of the recipes given here). We expect to have a publication on SLiM 2 out soon; in the meantime, you can cite the paper on the original version of SLiM: Messer, PW (2013). SLiM: Simulating Evolution with Selection and Linkage. Genetics 194, 1037–1039 (2016).
- 10.1534/genetics.108.097238 · DOI
- 10.1073/pnas.95.8.4441 · DOI
- 10.1073/pnas.0812590106 · DOI
- 10.1111/j.2041-210X.2011.00179.x · DOI
- 10.1093/bioinformatics/bts480 · DOI · Paper page
- 10.1126/science.1174276 · DOI
- 10.1038/ng.746 · DOI
- 10.1073/pnas.1010894108 · DOI
- 10.1038/hdy.2011.103 · DOI
- 10.1371/journal.pgen.1002383 · DOI
- 10.1073/pnas.1203189109 · DOI
- 10.1038/ng.747 · DOI
- 10.1093/bioinformatics/btr330 · DOI
- 10.1101/gr.107524.110 · DOI · Paper page
- 10.1111/mec.12354 · DOI
- 10.1101/gr.089516.108 · DOI
- 10.1093/bioinformatics/btm308 · DOI
- 10.1016/j.ajhg.2010.11.011 · DOI · Paper page
- 10.1111/tpj.13781 · DOI
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GENESPACE tracks regions of interest and gene copy number variation across multiple genomes
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Self-citation
Metadata
- Authors
- Hufford, M. B., Seetharam, A. S., Woodhouse, M. R., Chougule, K. M., Ou, S., Liu, J., Ricci, W. A., Guo, T., Olson, A., Qiu, Y., Della Coletta, R., Tittes, S., Hudson, A. I., Marand, A. P., Wei, S., Lu, Z., Wang, B., Tello-Ruiz, M. K., Piri, R. D., Wang, N., Kim, D. W., Zeng, Y., O’Connor, C. H., Li, X., Gilbert, A. M., Baggs, E., Krasileva, K. V., Portwood, J. L., Cannon, E. K. S., Andorf, C. M., Manchanda, N., Snodgrass, S. J., Hufnagel, D. E., Jiang, Q., Pedersen, S., Syring, M. L., Kudrna, D. A., Llaca, V., Fengler, K., Schmitz, R. J., Ross-Ibarra, J., Yu, J., Gent, J. I., Hirsch, C. N., Ware, D., & Dawe, R. K.
- Affiliations
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA.
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
- Department of Genetics, University of Georgia, Athens, GA 30602, USA.
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA.
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA.
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA.
- Center for Population Biology, University of California, Davis, CA 95616, USA.
- Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA.
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA.
- Corteva Agriscience, Johnston, IA 50131, USA.
- ORCID
- Hufford, Matthew B.
- Seetharam, Arun S.
- Woodhouse, Margaret R.
- Ou, Shujun
- Liu, Jianing
- Ricci, William A.
- Guo, Tingting
- Olson, Andrew
- Qiu, Yinjie
- Della Coletta, Rafael
- Tittes, Silas
- Marand, Alexandre P.
- Lu, Zhenyuan
- Tello-Ruiz, Marcela K.
- Wang, Na
- Li, Xianran
- Baggs, Erin
- Krasileva, Ksenia V.
- Portwood, John L.
- Cannon, Ethalinda K. S.
- Andorf, Carson M.
- Snodgrass, Samantha J.
- Hufnagel, David E.
- Jiang, Qiuhan
- Syring, Michael L.
- Kudrna, David A.
- Llaca, Victor
- Schmitz, Robert J.
- Ross-Ibarra, Jeffrey
- Yu, Jianming
- Gent, Jonathan I.
- Hirsch, Candice N.
- Ware, Doreen
- Dawe, R. Kelly
- Venue
- Science
- Published
- 2021-08-06
- Volume
- 373
- Issue
- 6555
- Pages
- 655-662
- ISSN
- 0036-8075
- 1095-9203
- PMC
- PMC8733867
- Cited by
- 747
- References
- 13
- Language
- en
- Funders
- National Science Foundation (1744001, 1546727, 1127112, 1546719, 1822330, IOS-1856627, 1905869, IOS-1744001, IOS-1546727, IOS-1127112, IOS-1546719, IOS-1822330, 1744592, 58-5030-8-064, 1546657, 1650042, DBI-1905869, DGE-1545463)
- U.S. Department of Agriculture (58-5030-8-064, 8062-21000-041-00D, 2018-67013-27571, 5030-21000-068-00D, CA-D-PLS-2066-H, USDA-ARS 8062-21000-041-00D, NSF IOS-1856627)
- Additional (NIH-OD S10 OD028632)
- Iowa State University Trainee SJS (USDA-ARS 58-5030-8-064)
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