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Dive into the research topics where Robert J. Elshire is active.

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Featured researches published by Robert J. Elshire.


PLOS ONE | 2011

A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.

Robert J. Elshire; Jeffrey C. Glaubitz; Qi-ying Sun; Jesse Poland; Ken Kawamoto; Edward S. Buckler; Sharon E. Mitchell

Advances in next generation technologies have driven the costs of DNA sequencing down to the point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, we report a procedure for constructing GBS libraries based on reducing genome complexity with restriction enzymes (REs). This approach is simple, quick, extremely specific, highly reproducible, and may reach important regions of the genome that are inaccessible to sequence capture approaches. By using methylation-sensitive REs, repetitive regions of genomes can be avoided and lower copy regions targeted with two to three fold higher efficiency. This tremendously simplifies computationally challenging alignment problems in species with high levels of genetic diversity. The GBS procedure is demonstrated with maize (IBM) and barley (Oregon Wolfe Barley) recombinant inbred populations where roughly 200,000 and 25,000 sequence tags were mapped, respectively. An advantage in species like barley that lack a complete genome sequence is that a reference map need only be developed around the restriction sites, and this can be done in the process of sample genotyping. In such cases, the consensus of the read clusters across the sequence tagged sites becomes the reference. Alternatively, for kinship analyses in the absence of a reference genome, the sequence tags can simply be treated as dominant markers. Future application of GBS to breeding, conservation, and global species and population surveys may allow plant breeders to conduct genomic selection on a novel germplasm or species without first having to develop any prior molecular tools, or conservation biologists to determine population structure without prior knowledge of the genome or diversity in the species.


Science | 2009

A First-Generation Haplotype Map of Maize

Michael A. Gore; Jer Ming Chia; Robert J. Elshire; Qi Sun; Elhan S. Ersoz; Bonnie L. Hurwitz; Jason A. Peiffer; Michael D. McMullen; George Grills; Jeffrey Ross-Ibarra; Doreen Ware; Edward S. Buckler

A-Maize-ing Maize is one of our oldest and most important crops, having been domesticated approximately 9000 years ago in central Mexico. Schnable et al. (p. 1112; see the cover) present the results of sequencing the B73 inbred maize line. The findings elucidate how maize became diploid after an ancestral doubling of its chromosomes and reveals transposable element movement and activity and recombination. Vielle-Calzada et al. (p. 1078) have sequenced the Palomero Toluqueño (Palomero) landrace, a highland popcorn from Mexico, which, when compared to the B73 line, reveals multiple loci impacted by domestication. Swanson-Wagner et al. (p. 1118) exploit possession of the genome to analyze expression differences occurring between lines. The identification of single nucleotide polymorphisms and copy number variations among lines was used by Gore et al. (p. 1115) to generate a Haplotype map of maize. While chromosomal diversity in maize is high, it is likely that recombination is the major force affecting the levels of heterozygosity in maize. The availability of the maize genome will help to guide future agricultural and biofuel applications (see the Perspective by Feuillet and Eversole). In maize, recombination in the genome has been a limiting factor affecting evolution and breeding efforts. Maize is an important crop species of high genetic diversity. We identified and genotyped several million sequence polymorphisms among 27 diverse maize inbred lines and discovered that the genome was characterized by highly divergent haplotypes and showed 10- to 30-fold variation in recombination rates. Most chromosomes have pericentromeric regions with highly suppressed recombination that appear to have influenced the effectiveness of selection during maize inbred development and may be a major component of heterosis. We found hundreds of selective sweeps and highly differentiated regions that probably contain loci that are key to geographic adaptation. This survey of genetic diversity provides a foundation for uniting breeding efforts across the world and for dissecting complex traits through genome-wide association studies.


PLOS ONE | 2014

TASSEL-GBS: A High Capacity Genotyping by Sequencing Analysis Pipeline

Jeffrey C. Glaubitz; Terry M. Casstevens; Fei Lu; James Harriman; Robert J. Elshire; Qi-Bin Sun; Edward S. Buckler

Genotyping by sequencing (GBS) is a next generation sequencing based method that takes advantage of reduced representation to enable high throughput genotyping of large numbers of individuals at a large number of SNP markers. The relatively straightforward, robust, and cost-effective GBS protocol is currently being applied in numerous species by a large number of researchers. Herein we describe a bioinformatics pipeline, tassel-gbs, designed for the efficient processing of raw GBS sequence data into SNP genotypes. The tassel-gbs pipeline successfully fulfills the following key design criteria: (1) Ability to run on the modest computing resources that are typically available to small breeding or ecological research programs, including desktop or laptop machines with only 8–16 GB of RAM, (2) Scalability from small to extremely large studies, where hundreds of thousands or even millions of SNPs can be scored in up to 100,000 individuals (e.g., for large breeding programs or genetic surveys), and (3) Applicability in an accelerated breeding context, requiring rapid turnover from tissue collection to genotypes. Although a reference genome is required, the pipeline can also be run with an unfinished “pseudo-reference” consisting of numerous contigs. We describe the tassel-gbs pipeline in detail and benchmark it based upon a large scale, species wide analysis in maize (Zea mays), where the average error rate was reduced to 0.0042 through application of population genetic-based SNP filters. Overall, the GBS assay and the tassel-gbs pipeline provide robust tools for studying genomic diversity.


Nature Genetics | 2012

Comparative population genomics of maize domestication and improvement

Matthew B. Hufford; Xun Xu; Joost van Heerwaarden; Tanja Pyhäjärvi; Jer Ming Chia; Reed A. Cartwright; Robert J. Elshire; Jeffrey C. Glaubitz; Kate 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

Domestication and plant breeding are ongoing 10,000-year-old evolutionary experiments that have radically altered wild species to meet human needs. Maize has undergone a particularly striking transformation. Researchers have sought for decades to identify the genes underlying maize evolution, but these efforts have been limited in scope. Here, we report a comprehensive assessment of the evolution of modern maize based on the genome-wide resequencing of 75 wild, landrace and improved maize lines. We find evidence of recovery of diversity after domestication, likely introgression from wild relatives, and evidence for stronger selection during domestication than improvement. We identify a number of genes with stronger signals of selection than those previously shown to underlie major morphological changes. Finally, through transcriptome-wide analysis of gene expression, we find evidence both consistent with removal of cis-acting variation during maize domestication and improvement and suggestive of modern breeding having increased dominance in expression while targeting highly expressed genes.


Nature Genetics | 2012

Maize HapMap2 identifies extant variation from a genome in flux

Jer-Ming Chia; Chi Song; Peter J. Bradbury; Denise E. Costich; Natalia de Leon; John Doebley; Robert J. Elshire; Brandon S. Gaut; Laura Geller; Jeffrey C. Glaubitz; Michael A. Gore; Kate Guill; James B. Holland; Matthew B. Hufford; Jinsheng Lai; Meng Li; Xin Liu; Yanli Lu; Richard McCombie; Rebecca J. Nelson; Jesse Poland; Boddupalli M. Prasanna; Tanja Pyhäjärvi; Tingzhao Rong; Rajandeep S. Sekhon; Qi Sun; Maud I. Tenaillon; Feng Tian; Jun Wang; Xun Xu

Whereas breeders have exploited diversity in maize for yield improvements, there has been limited progress in using beneficial alleles in undomesticated varieties. Characterizing standing variation in this complex genome has been challenging, with only a small fraction of it described to date. Using a population genetics scoring model, we identified 55 million SNPs in 103 lines across pre-domestication and domesticated Zea mays varieties, including a representative from the sister genus Tripsacum. We find that structural variations are pervasive in the Z. mays genome and are enriched at loci associated with important traits. By investigating the drivers of genome size variation, we find that the larger Tripsacum genome can be explained by transposable element abundance rather than an allopolyploid origin. In contrast, intraspecies genome size variation seems to be controlled by chromosomal knob content. There is tremendous overlap in key gene content in maize and Tripsacum, suggesting that adaptations from Tripsacum (for example, perennialism and frost and drought tolerance) can likely be integrated into maize.


Genome Biology | 2013

Comprehensive genotyping of the USA national maize inbred seed bank

Maria C. Romay; Mark J. Millard; Jeffrey C. Glaubitz; Jason A. Peiffer; Kelly Swarts; Terry M. Casstevens; Robert J. Elshire; Charlotte B. Acharya; Sharon E. Mitchell; Sherry Flint-Garcia; Michael D. McMullen; James B. Holland; Edward S. Buckler; Candice Gardner

BackgroundGenotyping by sequencing, a new low-cost, high-throughput sequencing technology was used to genotype 2,815 maize inbred accessions, preserved mostly at the National Plant Germplasm System in the USA. The collection includes inbred lines from breeding programs all over the world.ResultsThe method produced 681,257 single-nucleotide polymorphism (SNP) markers distributed across the entire genome, with the ability to detect rare alleles at high confidence levels. More than half of the SNPs in the collection are rare. Although most rare alleles have been incorporated into public temperate breeding programs, only a modest amount of the available diversity is present in the commercial germplasm. Analysis of genetic distances shows population stratification, including a small number of large clusters centered on key lines. Nevertheless, an average fixation index of 0.06 indicates moderate differentiation between the three major maize subpopulations. Linkage disequilibrium (LD) decays very rapidly, but the extent of LD is highly dependent on the particular group of germplasm and region of the genome. The utility of these data for performing genome-wide association studies was tested with two simply inherited traits and one complex trait. We identified trait associations at SNPs very close to known candidate genes for kernel color, sweet corn, and flowering time; however, results suggest that more SNPs are needed to better explore the genetic architecture of complex traits.ConclusionsThe genotypic information described here allows this publicly available panel to be exploited by researchers facing the challenges of sustainable agriculture through better knowledge of the nature of genetic diversity.


PLOS Genetics | 2009

Microdissection of Shoot Meristem Functional Domains

Lionel Brooks; Josh Strable; Xiaolan Zhang; Kazuhiro Ohtsu; Ruilian Zhou; Ananda K. Sarkar; Sarah Hargreaves; Robert J. Elshire; Douglas M. Eudy; Teresa E. Pawlowska; Doreen Ware; Diane Janick-Buckner; Brent Buckner; Marja C. P. Timmermans; Dan Nettleton; Michael J. Scanlon

The shoot apical meristem (SAM) maintains a pool of indeterminate cells within the SAM proper, while lateral organs are initiated from the SAM periphery. Laser microdissection–microarray technology was used to compare transcriptional profiles within these SAM domains to identify novel maize genes that function during leaf development. Nine hundred and sixty-two differentially expressed maize genes were detected; control genes known to be upregulated in the initiating leaf (P0/P1) or in the SAM proper verified the precision of the microdissections. Genes involved in cell division/growth, cell wall biosynthesis, chromatin remodeling, RNA binding, and translation are especially upregulated in initiating leaves, whereas genes functioning during protein fate and DNA repair are more abundant in the SAM proper. In situ hybridization analyses confirmed the expression patterns of six previously uncharacterized maize genes upregulated in the P0/P1. P0/P1-upregulated genes that were also shown to be downregulated in leaf-arrested shoots treated with an auxin transport inhibitor are especially implicated to function during early events in maize leaf initiation. Reverse genetic analyses of asceapen1 (asc1), a maize D4-cyclin gene upregulated in the P0/P1, revealed novel leaf phenotypes, less genetic redundancy, and expanded D4-CYCLIN function during maize shoot development as compared to Arabidopsis. These analyses generated a unique SAM domain-specific database that provides new insight into SAM function and a useful platform for reverse genetic analyses of shoot development in maize.


PLOS Genetics | 2007

Laser Microdissection of Narrow Sheath Mutant Maize Uncovers Novel Gene Expression in the Shoot Apical Meristem

Xiaolan Zhang; Shahinez Madi; Lisa A. Borsuk; Dan Nettleton; Robert J. Elshire; Brent Buckner; Diane Janick-Buckner; Jon Beck; Marja C. P. Timmermans; Michael J. Scanlon

Microarrays enable comparative analyses of gene expression on a genomic scale, however these experiments frequently identify an abundance of differentially expressed genes such that it may be difficult to identify discrete functional networks that are hidden within large microarray datasets. Microarray analyses in which mutant organisms are compared to nonmutant siblings can be especially problematic when the gene of interest is expressed in relatively few cells. Here, we describe the use of laser microdissection microarray to perform transcriptional profiling of the maize shoot apical meristem (SAM), a ~100-μm pillar of organogenic cells that is required for leaf initiation. Microarray analyses compared differential gene expression within the SAM and incipient leaf primordium of nonmutant and narrow sheath mutant plants, which harbored mutations in the duplicate genes narrow sheath1 (ns1) and narrow sheath2 (ns2). Expressed in eight to ten cells within the SAM, ns1 and ns2 encode paralogous WUSCHEL1-like homeobox (WOX) transcription factors required for recruitment of leaf initials that give rise to a large lateral domain within maize leaves. The data illustrate the utility of laser microdissection-microarray analyses to identify a relatively small number of genes that are differentially expressed within the SAM. Moreover, these analyses reveal potentially conserved WOX gene functions and implicate specific hormonal and signaling pathways during early events in maize leaf development.


Proceedings of the National Academy of Sciences of the United States of America | 2015

Recombination in diverse maize is stable, predictable, and associated with genetic load

Eli Rodgers-Melnick; Peter J. Bradbury; Robert J. Elshire; Jeffrey C. Glaubitz; Charlotte B. Acharya; Sharon E. Mitchell; Chunhui Li; Yongxiang Li; Edward S. Buckler

Significance Meiotic recombination is known to vary over 1,000-fold in many eukaryotic organisms, including maize. This regional genomic variation has enormous consequences for plant breeders, who rely on meiotic cross-overs to fine-map quantitative traits and introgress favorable alleles. Deleterious mutations are also predicted to accumulate preferentially within low-recombination regions, particularly within historically outcrossing species, such as maize. Here, we show that meiotic recombination is predictable across diverse crosses based on several genomic features of the reference genome. We demonstrate that the extant patterns of recombination are historically stable and tied to variation in the number of deleterious mutations. The ability of plant breeders to exploit recombination to purge segregating deleterious alleles will determine the efficacy of future crop improvement. Among the fundamental evolutionary forces, recombination arguably has the largest impact on the practical work of plant breeders. Varying over 1,000-fold across the maize genome, the local meiotic recombination rate limits the resolving power of quantitative trait mapping and the precision of favorable allele introgression. The consequences of low recombination also theoretically extend to the species-wide scale by decreasing the power of selection relative to genetic drift, and thereby hindering the purging of deleterious mutations. In this study, we used genotyping-by-sequencing (GBS) to identify 136,000 recombination breakpoints at high resolution within US and Chinese maize nested association mapping populations. We find that the pattern of cross-overs is highly predictable on the broad scale, following the distribution of gene density and CpG methylation. Several large inversions also suppress recombination in distinct regions of several families. We also identify recombination hotspots ranging in size from 1 kb to 30 kb. We find these hotspots to be historically stable and, compared with similar regions with low recombination, to have strongly differentiated patterns of DNA methylation and GC content. We also provide evidence for the historical action of GC-biased gene conversion in recombination hotspots. Finally, using genomic evolutionary rate profiling (GERP) to identify putative deleterious polymorphisms, we find evidence for reduced genetic load in hotspot regions, a phenomenon that may have considerable practical importance for breeding programs worldwide.


Nature Communications | 2015

High-resolution genetic mapping of maize pan-genome sequence anchors

Fei Lu; Maria C. Romay; Jeffrey C. Glaubitz; Peter J. Bradbury; Robert J. Elshire; Tianyu Wang; Yongxiang Li; Kassa Semagn; Xuecai Zhang; Alvaro G. Hernandez; Mark A. Mikel; Ilya Soifer; Omer Barad; Edward S. Buckler

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Doreen Ware

Cold Spring Harbor Laboratory

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Peter J. Bradbury

United States Department of Agriculture

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