Edward S. Buckler

ORCID: 0000-0002-3100-371X
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About
Contact & Profiles
Research Areas
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetics and Plant Breeding
  • Genetic and phenotypic traits in livestock
  • Genomics and Phylogenetic Studies
  • Chromosomal and Genetic Variations
  • Wheat and Barley Genetics and Pathology
  • Genetic diversity and population structure
  • Plant Disease Resistance and Genetics
  • Plant Molecular Biology Research
  • Crop Yield and Soil Fertility
  • RNA and protein synthesis mechanisms
  • Bioenergy crop production and management
  • Plant Taxonomy and Phylogenetics
  • Plant Virus Research Studies
  • CRISPR and Genetic Engineering
  • Machine Learning in Bioinformatics
  • Horticultural and Viticultural Research
  • Antioxidant Activity and Oxidative Stress
  • Plant Micronutrient Interactions and Effects
  • Plant Gene Expression Analysis
  • Advances in Cucurbitaceae Research
  • Agriculture Sustainability and Environmental Impact
  • Gene expression and cancer classification
  • Plant nutrient uptake and metabolism
  • Cassava research and cyanide

Agricultural Research Service
2016-2025

Cornell University
2016-2025

United States Department of Agriculture
2016-2025

Ithaca College
2015-2024

Robert W. Holley Center for Agriculture & Health
2015-2024

Center for Genomic Science
2008-2024

Agricultural Research Service - Northeast Area
2022

University of California, Davis
2011-2019

Institute of Crop Science
2019

University of Illinois Urbana-Champaign
2009-2019

Association analyses that exploit the natural diversity of a genome to map at very high resolutions are becoming increasingly important. In most studies, however, researchers must contend with confounding effects both population and family structure. TASSEL (Trait Analysis by aSSociation, Evolution Linkage) implements general linear model mixed approaches for controlling For result interpretation, program allows linkage disequilibrium statistics be calculated visualized graphically. Database...

10.1093/bioinformatics/btm308 article EN Bioinformatics 2007-06-22

Advances in next generation technologies have driven the costs of DNA sequencing down to point that genotyping-by-sequencing (GBS) is now feasible for high diversity, large genome species. Here, we report a procedure constructing GBS libraries based on reducing complexity with restriction enzymes (REs). This approach simple, quick, extremely specific, highly reproducible, and may reach important regions are inaccessible sequence capture approaches. By using methylation-sensitive REs,...

10.1371/journal.pone.0019379 article EN cc-by PLoS ONE 2011-05-04

Abstract Summary: Software programs that conduct genome-wide association studies and genomic prediction selection need to use methodologies maximize statistical power, provide high accuracy run in a computationally efficient manner. We developed an R package called Genome Association Prediction Integrated Tool (GAPIT) implements advanced methods including the compressed mixed linear model (CMLM) CMLM-based selection. The GAPIT can handle large datasets excess of 10 000 individuals 1 million...

10.1093/bioinformatics/bts444 article EN Bioinformatics 2012-07-13

The rhizosphere is a critical interface supporting the exchange of resources between plants and their associated soil environment. Rhizosphere microbial diversity influenced by physical chemical properties rhizosphere, some which are determined genetics host plant. However, within plant species, impact genetic variation on composition microbiota poorly understood. Here, we characterized bacterial 27 modern maize inbreds possessing exceptional grown under field conditions. Randomized...

10.1073/pnas.1302837110 article EN Proceedings of the National Academy of Sciences 2013-04-01

Genotyping by sequencing (GBS) is a next generation based method that takes advantage of reduced representation to enable high throughput genotyping large numbers individuals at number SNP markers. The relatively straightforward, robust, and cost-effective GBS protocol currently being applied in numerous species researchers. Herein we describe bioinformatics pipeline, tassel-gbs, designed for the efficient processing raw sequence data into genotypes. tassel-gbs pipeline successfully fulfills...

10.1371/journal.pone.0090346 article EN cc-by PLoS ONE 2014-02-28

Flowering time is a complex trait that controls adaptation of plants to their local environment in the outcrossing species Zea mays (maize). We dissected variation for flowering with set 5000 recombinant inbred lines (maize Nested Association Mapping population, NAM). Nearly million were assayed eight environments but showed no evidence any single large-effect quantitative loci (QTLs). Instead, we identified numerous small-effect QTLs shared among families; however, allelic effects differ...

10.1126/science.1174276 article EN Science 2009-08-06

There exists extraordinary morphological and genetic diversity among the maize landraces that have been developed by pre-Columbian cultivators. To explain this high level of in maize, several authors proposed were products multiple independent domestications from their wild relative (teosinte). We present phylogenetic analyses based on 264 individual plants, each genotyped at 99 microsatellites, challenge multiple-origins hypothesis. Instead, our results indicate all arose a single...

10.1073/pnas.052125199 article EN Proceedings of the National Academy of Sciences 2002-04-30

There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances genomic technology, impetus exploit natural diversity, development robust statistical analysis methods make appealing affordable plant research programs. Association identifies trait loci (QTLs) by examining the marker‐trait associations that can be attributed strength linkage disequilibrium between...

10.3835/plantgenome2008.02.0089 article EN cc-by-nc-nd The Plant Genome 2008-07-01

False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by fixed effect and random Mixed Linear Model (MLM) that incorporates population structure kinship among individuals to adjust association tests on markers; however, the adjustment also compromises true positives. The modified MLM method, Multiple Loci (MLMM), multiple markers simultaneously as covariates stepwise partially remove confounding between testing kinship. To completely eliminate confounding,...

10.1371/journal.pgen.1005767 article EN public-domain PLoS Genetics 2016-02-01

Association studies based on linkage disequilibrium (LD) can provide high resolution for identifying genes that may contribute to phenotypic variation. We report patterns of local and genome-wide LD in 102 maize inbred lines representing much the worldwide genetic diversity used breeding, address its implications association maize. In a survey six genes, we found intragenic generally declined rapidly with distance ( r 2 < 0.1 within 1500 bp), but rates decline were highly variable among...

10.1073/pnas.201394398 article EN Proceedings of the National Academy of Sciences 2001-09-18
Gary A. Churchill David Airey Hooman Allayee Joe M. Angel Alan Attie and 95 more J. Thomas Beatty William D. Beavis John K. Belknap Beth Bennett Wade H. Berrettini André Bleich Molly A. Bogue Karl W. Broman Kari J. Buck Edward S. Buckler Margit Burmeister Elissa J. Chesler James M. Cheverud Steven J. Clapcote Melloni N. Cook Roger Cox John C. Crabbe Wim E. Crusio Ariel Darvasi Christian F. Deschepper R. W. Doerge Charles R. Farber Jiřı́ Forejt Daniel P. Gaile Steven J. Garlow Hartmut Geiger Howard K. Gershenfeld Terry Gordon Jing Gu Weikuan Gu Gerald de Haan Nancy L. Hayes Craig Heller Heinz Himmelbauer Robert Hitzemann Kent W. Hunter Hui-Chen Hsu Fuad A. Iraqi Boris Ivandic Howard J. Jacob Ritsert C. Jansen Karl J. Jepsen Dabney K. Johnson Thomas E. Johnson Gerd Kempermann Christina Kendziorski Malak Kotb R. Frank Kooy Bastien Llamas Frank Lammert Jean‐Michel Lassalle Pedro R. Löwenstein Lu Lu Aldons J. Lusis Kenneth F. Manly Ralph Marcucio Doug Matthews Juan F. Medrano Darla R. Miller Guy Mittleman Beverly A. Mock Jeffrey S. Mogil Xavier Montagutelli Grant Morahan D.G. Morris Richard Mott Joseph H. Nadeau Hiroki Nagase Richard S. Nowakowski Bruce F. O’Hara А. В. Осадчук Grier P. Page Beverly Paigen Kenneth Paigen Abraham A. Palmer Huei-Ju Pan Leena Peltonen-Palotie Jeremy L. Peirce Daniel Pomp Michal Pravenec Daniel R. Prows Zhonghua Qi Roger H. Reeves John Roder Glenn D. Rosen Eric E. Schadt Leonard C. Schalkwyk Ze’ev Seltzer Kazuhiro Shimomura Siming Shou Mikko J. Sillanpää Linda D. Siracusa Hans-Willem Snoeck Jimmy L. Spearow Karen L. Svenson

10.1038/ng1104-1133 article EN Nature Genetics 2004-10-28

Abstract We investigated the genetic and statistical properties of nested association mapping (NAM) design currently being implemented in maize (26 diverse founders 5000 distinct immortal genotypes) to dissect basis complex quantitative traits. The NAM simultaneously exploits advantages both linkage analysis mapping. demonstrated power for high-power cost-effective genome scans through computer simulations based on empirical marker data simulated traits with different complexities. With...

10.1534/genetics.107.074245 article EN Genetics 2008-01-01

Maize genetic diversity has been used to understand the molecular basis of phenotypic variation and improve agricultural efficiency sustainability. We crossed 25 diverse inbred maize lines B73 reference line, capturing a total 136,000 recombination events. Variation for frequencies was observed among families, influenced by local (cis) variation. identified evidence numerous minor single-locus effects but little two-locus linkage disequilibrium or segregation distortion, which indicated...

10.1126/science.1174320 article EN Science 2009-08-06

Crop improvement and the dissection of complex genetic traits require germplasm diversity. Although this necessary phenotypic variability exists in diverse maize, most research is conducted using a small subset inbred lines. An association population 302 lines now available--a valuable tool that captures large proportion alleles cultivated maize. Provided appropriate statistical models correcting for structure are included, can be used analyses to provide high-resolution evaluation multiple...

10.1111/j.1365-313x.2005.02591.x article EN The Plant Journal 2005-11-21

Accelerating crop improvement in sorghum, a staple food for people semiarid regions across the developing world, is key to ensuring global security context of climate change. To facilitate gene discovery and molecular breeding we have characterized ∼265,000 single nucleotide polymorphisms (SNPs) 971 worldwide accessions that adapted diverse agroclimatic conditions. Using this genome-wide SNP map, population structure with respect geographic origin morphological type identified patterns...

10.1073/pnas.1215985110 article EN Proceedings of the National Academy of Sciences 2012-12-24

Maize is an important crop species of high genetic diversity. We identified and genotyped several million sequence polymorphisms among 27 diverse maize inbred lines discovered that the genome was characterized by highly divergent haplotypes showed 10- to 30-fold variation in recombination rates. Most chromosomes have pericentromeric regions with suppressed appear influenced effectiveness selection during development may be a major component heterosis. found hundreds selective sweeps...

10.1126/science.1177837 article EN Science 2009-11-20
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