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Dive into the research topics where Georgia C. Eizenga is active.

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Featured researches published by Georgia C. Eizenga.


Nature Communications | 2011

Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa

Keyan Zhao; Chih-Wei Tung; Georgia C. Eizenga; Mark H. Wright; M. Liakat Ali; Adam H. Price; Gareth J. Norton; S. M. Rafiqul Islam; Andrew R. Reynolds; Jason G. Mezey; Anna M. McClung; Carlos Bustamante; Susan R. McCouch

Asian rice, Oryza sativa is a cultivated, inbreeding species that feeds over half of the worlds population. Understanding the genetic basis of diverse physiological, developmental, and morphological traits provides the basis for improving yield, quality and sustainability of rice. Here we show the results of a genome-wide association study based on genotyping 44,100 SNP variants across 413 diverse accessions of O. sativa collected from 82 countries that were systematically phenotyped for 34 traits. Using cross-population-based mapping strategies, we identified dozens of common variants influencing numerous complex traits. Significant heterogeneity was observed in the genetic architecture associated with subpopulation structure and response to environment. This work establishes an open-source translational research platform for genome-wide association studies in rice that directly links molecular variation in genes and metabolic pathways with the germplasm resources needed to accelerate varietal development and crop improvement.


PLOS ONE | 2010

Genomic Diversity and Introgression in O. sativa Reveal the Impact of Domestication and Breeding on the Rice Genome

Keyan Zhao; Mark G. Wright; Jennifer A. Kimball; Georgia C. Eizenga; Anna M. McClung; Michael J. Kovach; Wricha Tyagi; Md. Liakat Ali; Chih-Wei Tung; Andrew R. Reynolds; Carlos Bustamante; Susan R. McCouch

Background The domestication of Asian rice (Oryza sativa) was a complex process punctuated by episodes of introgressive hybridization among and between subpopulations. Deep genetic divergence between the two main varietal groups (Indica and Japonica) suggests domestication from at least two distinct wild populations. However, genetic uniformity surrounding key domestication genes across divergent subpopulations suggests cultural exchange of genetic material among ancient farmers. Methodology/Principal Findings In this study, we utilize a novel 1,536 SNP panel genotyped across 395 diverse accessions of O. sativa to study genome-wide patterns of polymorphism, to characterize population structure, and to infer the introgression history of domesticated Asian rice. Our population structure analyses support the existence of five major subpopulations (indica, aus, tropical japonica, temperate japonica and GroupV) consistent with previous analyses. Our introgression analysis shows that most accessions exhibit some degree of admixture, with many individuals within a population sharing the same introgressed segment due to artificial selection. Admixture mapping and association analysis of amylose content and grain length illustrate the potential for dissecting the genetic basis of complex traits in domesticated plant populations. Conclusions/Significance Genes in these regions control a myriad of traits including plant stature, blast resistance, and amylose content. These analyses highlight the power of population genomics in agricultural systems to identify functionally important regions of the genome and to decipher the role of human-directed breeding in refashioning the genomes of a domesticated species.


New Phytologist | 2012

Variation in grain arsenic assessed in a diverse panel of rice (Oryza sativa) grown in multiple sites

Gareth J. Norton; Shannon R. M. Pinson; Jill Alexander; Susan Mckay; Helle Rüsz Hansen; Guilan Duan; M. Rafiqul Islam; Shofiqul Islam; Jacqueline L. Stroud; Steve P. McGrath; Yong-Guan Zhu; Brett Lahner; Elena Yakubova; Mary Lou Guerinot; Lee Tarpley; Georgia C. Eizenga; David E. Salt; Andrew A. Meharg; Adam H. Price

• Inorganic arsenic (As(i) ) in rice (Oryza sativa) grains is a possible threat to human health, with risk being strongly linked to total dietary rice consumption and consumed rice As(i) content. This study aimed to identify the range and stability of genetic variation in grain arsenic (As) in rice. • Six field trials were conducted (one each in Bangladesh and China, two in Arkansas, USA over 2 yr, and two in Texas, USA comparing flooded and nonflood treatments) on a large number of common rice cultivars (c. 300) representing genetic diversity among international rice cultivars. • Within each field there was a 3-34 fold range in grain As concentration which varied between rice subpopulations. Importantly, As(i) correlated strongly with total As among a subset of 40 cultivars harvested in Bangladesh and China. • Genetic variation at all field sites was a large determining factor for grain As concentration, indicating that cultivars low in grain As could be developed through breeding. The temperate japonicas exhibited lower grain As compared with other subpopulations. Effects for year, location and flooding management were also statistically significant, suggesting that breeding strategies must take into account environmental factors.


Rice | 2010

Chromosome segment substitution lines: a powerful tool for the introgression of valuable genes from Oryza wild species into cultivated rice (O. sativa).

M. Liakat Ali; Paul L. Sanchez; Si-bin Yu; Mathias Lorieux; Georgia C. Eizenga

Wild species of rice (genus Oryza) contain many useful genes but a vast majority of these genes remain untapped to date because it is often difficult to transfer these genes into cultivated rice (Oryza sativa L.). Chromosome segment substitution lines (CSSLs) and backcross inbred lines (BILs) are powerful tools for identifying these naturally occurring, favorable alleles in unadapted germplasm. In this paper, we present an overview of the research involving CSSLs and BILs in the introgression of quantitative trait loci (QTLs) associated with the improved performance of rice including resistance to various biotic and abiotic stresses, and even high yield from wild relatives of rice and other unadapted germplasm into the genetic background of adapted rice cultivars. The CSSLs can be used to dissect quantitative traits into the component genetic factors and evaluate gene action as single factors (monogenic loci). CSSLs have the potential to uncover new alleles from the unadapted, non-productive wild rice accessions, develop genome-wide genetic stocks, and clone genes identified in QTL studies for functional genomics research. Recent development of high-density single-nucleotide polymorphism (SNP) arrays in rice and availability of custom-designed medium- and low-density SNP arrays will enhance the CSSL development process with smaller marker-defined segment introgressions from unadapted germplasm.


PLOS ONE | 2014

Genome Wide Association Mapping of Grain Arsenic, Copper, Molybdenum and Zinc in Rice (Oryza sativa L.) Grown at Four International Field Sites

Gareth J. Norton; Alex Douglas; Brett Lahner; Elena Yakubova; Mary Lou Guerinot; Shannon R. M. Pinson; Lee Tarpley; Georgia C. Eizenga; Steve P. McGrath; M. Rafiqul Islam; Shofiqul Islam; Guilan Duan; Yong-Guan Zhu; David E. Salt; Andrew A. Meharg; Adam H. Price

The mineral concentrations in cereals are important for human health, especially for individuals who consume a cereal subsistence diet. A number of elements, such as zinc, are required within the diet, while some elements are toxic to humans, for example arsenic. In this study we carry out genome-wide association (GWA) mapping of grain concentrations of arsenic, copper, molybdenum and zinc in brown rice using an established rice diversity panel of ∼300 accessions and 36.9 k single nucleotide polymorphisms (SNPs). The study was performed across five environments: one field site in Bangladesh, one in China and two in the US, with one of the US sites repeated over two years. GWA mapping on the whole dataset and on separate subpopulations of rice revealed a large number of loci significantly associated with variation in grain arsenic, copper, molybdenum and zinc. Seventeen of these loci were detected in data obtained from grain cultivated in more than one field location, and six co-localise with previously identified quantitative trait loci. Additionally, a number of candidate genes for the uptake or transport of these elements were located near significantly associated SNPs (within 200 kb, the estimated global linkage disequilibrium previously employed in this rice panel). This analysis highlights a number of genomic regions and candidate genes for further analysis as well as the challenges faced when mapping environmentally-variable traits in a highly genetically structured diversity panel.


Rice | 2010

Development of a research platform for dissecting phenotype-genotype associations in rice (Oryza spp.).

Chih-Wei Tung; Keyan Zhao; Mark H. Wright; M. Liakat Ali; Janelle Jung; Jennifer A. Kimball; Wricha Tyagi; Michael J. Thomson; Kenneth L. McNally; Hei Leung; Hyun Jung Kim; Sang-Nag Ahn; Andrew R. Reynolds; Brian E. Scheffler; Georgia C. Eizenga; Anna M. McClung; Carlos Bustamante; Susan R. McCouch

We present an overview of a research platform that provides essential germplasm, genotypic and phenotypic data and analytical tools for dissecting phenotype–genotype associations in rice. These resources include a diversity panel of 400 Oryza sativa and 100 Oryza rufipogon accessions that have been purified by single seed descent, a custom-designed Affymetrix array consisting of 44,100 SNPs, an Illumina GoldenGate assay consisting of 1,536 SNPs, and a suite of low-resolution 384-SNP assays for the Illumina BeadXpress Reader that are designed for applications in breeding, genetics and germplasm management. Our long-term goal is to empower basic research discoveries in rice by linking sequence diversity with physiological, morphological, and agronomic variation. This research platform will also help increase breeding efficiency by providing a database of diversity information that will enable researchers to identify useful DNA polymorphisms in genes and germplasm of interest and convert that information into cost-effective tools for applied plant improvement.


Weed Science | 2009

Exploring Genetic and Spatial Structure of U.S. Weedy Red Rice (Oryza sativa) in Relation to Rice Relatives Worldwide

David R. Gealy; Hesham A. Agrama; Georgia C. Eizenga

Abstract Weedy red rice is a highly troublesome weed of rice in the United States and throughout the world. Effective management of this weed has remained challenging to U.S. farmers, partly because of the biological diversity among red rice populations, resistance to or avoidance of control measures, and genetic similarities with crop rice that allow crossing between the two plant types. The aim of this research was to identify simple sequence repeat (SSR) marker loci that will unambiguously differentiate between U.S. weedy red rice, commercial rice cultivars, and their hybrids, to characterize the genetic diversity and structure of U.S. weedy red rice accessions in relation to Oryza collections from international sources, and to relate genetic and geographic variability within U.S. weedy red rice. Thirty-one SSR markers were used to analyze 180 worldwide Oryza entries and 80 U.S. weedy red rice and U.S. rice cultivars. Twenty-six of the 31 SSR marker loci were highly informative with respect to genetic distinctions between U.S. weedy red rice and U.S. rice cultivars. U.S. red rice are accessions clustered into two main SSR-based collections, awnless strawhull (SA−) and awned blackhull (BA+), according to genetic distance analysis and principal coordinate analysis. Genetic structure analysis clearly identified SA− and BA+ red rice, rice–red rice hybrids, commercial japonica rice cultivars, indica rice, and a number of international and wild Oryza spp. standards (e.g., Oryza nivara, Oryza rufipogon, and Oryza glaberrima) as genetically distinct groups. U.S. SA− red rice exhibited greater spatial structure than did BA+ in that the genetic makeup of SA− accessions changed nearly twice as much with geographic distance as compared to BA+. However, the overall genetic variability within SA− red rice accessions was less than for BA+ accessions, suggesting that the SA− types may be genetically less compatible than BA+ types with other Oryza plants such as rice or other red rice types present in U.S. rice fields. Several of the awned red rice entries exhibited evidence of natural hybridization with different red rice types. Our results suggest that the SA− and BA+ red rice collections have different genetic backgrounds. SA− accessions generally associated most closely with indica-like red- or white-bran Oryza sativa cultivar standards, while BA+ accessions generally associated more closely with O. nivara or O. nivara–like O. sativa entries. Although the U.S. red rice accessions appear not to have descended directly from introductions of the worldwide Oryza standards analyzed, an Oryza red-pericarp entry from Niger (UA 1012; PI 490783) was genetically very similar to some U.S. BA+ accessions. Nomenclature: Oryza nivara Sharma and Shastry; Oryza rufipogon Griff.; red rice, O. sativa L.; O. glaberrima Steud.; rice, O. sativa L. ORSAT.


PLOS ONE | 2017

Genetic architecture of cold tolerance in rice (Oryza sativa) determined through high resolution genome-wide analysis

Ehsan Shakiba; Jeremy D. Edwards; Farman Jodari; Sara E. Duke; Angela Baldo; Pavel Korniliev; Susan R. McCouch; Georgia C. Eizenga; Swarup K. Parida

Cold temperature is an important abiotic stress which negatively affects morphological development and seed production in rice (Oryza sativa L.). At the seedling stage, cold stress causes poor germination, seedling injury and poor stand establishment; and at the reproductive stage cold decreases seed yield. The Rice Diversity Panel 1 (RDP1) is a global collection of over 400 O. sativa accessions representing the five major subpopulations from the INDICA and JAPONICA varietal groups, with a genotypic dataset consisting of 700,000 SNP markers. The objectives of this study were to evaluate the RDP1 accessions for the complex, quantitatively inherited cold tolerance traits at the germination and reproductive stages, and to conduct genome-wide association (GWA) mapping to identify SNPs and candidate genes associated with cold stress at these stages. GWA mapping of the germination index (calculated as percent germination in cold divided by warm treatment) revealed 42 quantitative trait loci (QTLs) associated with cold tolerance at the seedling stage, including 18 in the panel as a whole, seven in temperate japonica, six in tropical japonica, 14 in JAPONICA, and nine in INDICA, with five shared across all subpopulations. Twenty-two of these QTLs co-localized with 32 previously reported cold tolerance QTLs. GWA mapping of cold tolerance at the reproductive stage detected 29 QTLs, including seven associated with percent sterility, ten with seed weight per panicle, 14 with seed weight per plant and one region overlapping for two traits. Fifteen co-localized with previously reported QTLs for cold tolerance or yield components. Candidate gene ontology searches revealed these QTLs were associated with significant enrichment for genes related to with lipid metabolism, response to stimuli, response to biotic stimuli (suggesting cross-talk between biotic and abiotic stresses), and oxygen binding. Overall the JAPONICA accessions were more tolerant to cold stress than INDICA accessions.


Frontiers in Plant Science | 2017

Assessment of Five Chilling Tolerance Traits and GWAS Mapping in Rice Using the USDA Mini-Core Collection

Michael Schläppi; Aaron K. Jackson; Georgia C. Eizenga; Aiju Wang; Chengcai Chu; Yao Shi; Naoki Shimoyama; Debbie Boykin

Rice (Oryza sativa L.) is often exposed to cool temperatures during spring planting in temperate climates. A better understanding of genetic pathways regulating chilling tolerance will enable breeders to develop varieties with improved tolerance during germination and young seedling stages. To dissect chilling tolerance, five assays were developed; one assay for the germination stage, one assay for the germination and seedling stage, and three for the seedling stage. Based on these assays, five chilling tolerance indices were calculated and assessed using 202 O. sativa accessions from the Rice Mini-Core (RMC) collection. Significant differences between RMC accessions made the five indices suitable for genome-wide association study (GWAS) based quantitative trait loci (QTL) mapping. For young seedling stage indices, japonica and indica subspecies clustered into chilling tolerant and chilling sensitive accessions, respectively, while both subspecies had similar low temperature germinability distributions. Indica subspecies were shown to have chilling acclimation potential. GWAS mapping uncovered 48 QTL at 39 chromosome regions distributed across all 12 rice chromosomes. Interestingly, there was no overlap between the germination and seedling stage QTL. Also, 18 QTL and 32 QTL were in regions discovered in previously reported bi-parental and GWAS based QTL mapping studies, respectively. Two novel low temperature seedling survivability (LTSS)–QTL, qLTSS3-4 and qLTSS4-1, were not in a previously reported QTL region. QTL with strong effect alleles identified in this study will be useful for marker assisted breeding efforts to improve chilling tolerance in rice cultivars and enhance gene discovery for chilling tolerance.


Euphytica | 1990

Comparison of the isozyme variation in tall fescue parents and their somaclones

Georgia C. Eizenga; Paul L. Cornelius

SummaryThis study was conducted using the isozymes ACP-1, ADH-1, GOT-2, GOT-3, MDH, 6-PGD-1 and PGI-2 to: a) compare isozyme banding patterns of tall fescue somaclones with parents and b) correlate tissue culture-induced chromosome abnormalities with variant banding patterns. The 174 somaclones were grouped into seven categories based on their meiotic analyses and time of regeneration from culture. Differences in isozyme frequency between categories compared by chi-square tests were greatest for MDH, 6-PGD-1 and PGI-2, and least for ACP-1. The most significant differences in frequency were found between somaclones and parents. In comparisons of somaclone categories, the most different isozyme distributions were between the early vs. late regenerated somaclones. No significant differences in isozyme frequencies were found between all 42-chromosome somaclones vs. aneuploid somaclones and the three somaclone groups (42-normal, 42-abnormal, aneuploid) compared to each other. This study suggests that culture-induced isozyme variation alters the distribution of the isozyme phenotypes, but is not directly correlated with chromosome abnormalities.

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Anna M. McClung

Agricultural Research Service

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Andrew R. Reynolds

Institute of Cancer Research

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Hei Leung

International Rice Research Institute

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Kenneth L. McNally

International Rice Research Institute

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