Download or read book A Study of Phytophthora Sojae Resistance in Soybean Glycine Max l Merr Using Genome wide Association Analyses and Genomic Prediction written by William Robert Rolling and published by . This book was released on 2020 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phytophthora sojae is a destructive oomycete pathogen of soybean [Glycine max (L) Merr], which causes yield losses in many soybean-growing regions and results in worldwide losses in excess of $1 billion. Genetic resistance is the preferred method of managing P. sojae. Resistance is inherited both qualitatively and quantitatively, with both providing crucial elements of genetic resistance. Quantitative disease resistance (QDR) is a complex trait, controlled by many loci and at least 22 genetic mapping studies have been completed, identifying a highly polygenic trait. In this research, we contribute to the understanding of this pathosystem by (1) summarizing the current literature of the P. sojae-soybean pathosystem, (2) mapping QDR loci in diverse soy germplasm to provide novel alleles for breeding programs, (3) testing genomic prediction (GP) to determine which methodology results in the most accurate GP model, (4) and validating the GP methods across diverse germplasm. The results of this dissertation include utilizing genome-wide association analyses to identify 44 QDR loci towards P. sojae, including 14 novel loci. The analyses completed here were among the first to test how accurate GP would be for P. sojae QDR traits. The GP accuracy averaged 0.51 across nine measurements of seedling phenotypes and demonstrated that the accuracy of the GP was relatively independent of methodology; rather the measurement of QDR was the largest factor contributing to differences in accuracy. When GP was completed across a collection of genetically diverse germplasm the accuracy decreased to between 0.14 and 0.43, and though reduced, the accuracy remained high enough to merit further investigation for genomic selection in applied breeding programs. Overall these results have built upon strong research and added to the understanding of the genetic architecture of QDR towards P. sojae, identified novel QDR alleles for breeding programs, and provide an initial estimate how effective GP can be applied in soybean breeding programs.

Download or read book Genome wide Analyses for Partial Resistance to Phytophthora Sojae Kaufmann and Gerdemann in Soybean glycine Max L Merr Populations from North America and the Republic of Korea written by Rhiannon N. Schneider and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Phytophthora root and stem rot of soybean (Glycine max) is caused by the oomycete pathogen Phytophthora sojae. This disease can be controlled by genetic resistance, but can cause devastating yield losses in fields planted with susceptible soybean cultivars and results in losses of around $300 million annually in the US. Partial resistance is considered to be more durable against P. sojae than race-specific resistance conferred by Rps genes and is theoretically effective against all races of this pathogen. Evaluation of a historical set of public cultivars representing 80 years of soybean breeding indicated that there have been genetic gains for partial resistance; however, these gains may have begun to plateau in the 1970s to early 1980s. Cultivars developed in Ohio generally have high levels of partial resistance to P. sojae; however, there is little known about the genetic regions associated with the partial resistance. Further improvement of increasing partial resistance could be achieved through the introgression of known quantitative trait loci (QTL) from plant introductions from the Republic of Korea (South Korea), which contain high levels of partial resistance. From an analysis of 1,398 plant introductions with a wide range of phenotypic expression of resistance, sixteen single nucleotide polymorphisms (SNPs) were associated with partial resistance to P. sojae. These SNPs were located in three genomic regions, or QTL, on chromosomes 3, 13, and 19. The QTL on chromosome 19 represented a novel locus, whereas the QTL on chromosomes 3 and 13 were coincident with previously identified QTL for partial resistance and/or Rps genes. In contrast, a genome-wide association study carried out in Ohio breeding lines was unable to detect any significant marker-trait associations, limiting the ability to use marker assisted selection to improve partial resistance in this population. However, genomic selection (GS) was shown to be a promising means of selection, with efficiencies relative to phenotypic selection of 0.5 to 1. Importantly, GS can be implemented through use of multi-trait indices which include yield. As exotic germplasm with high levels of partial resistance are identified, GS may be a valuable tool for utilizing exotic sources of partial resistance to P. sojae while maintaining or improving yield.

Download or read book Identification of Quantitative Trait Loci for Partial Resistance to Phytophthora Sojae in Six Soybean glycine Max L Merr Plant Introductions written by Sungwoo Lee and published by . This book was released on 2013 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In soybean [Glycine max (L.) Merr.], Phytophthora root and stem rot caused by Phytophthora sojae is one of the destructive diseases that result in economic losses around the world. However, changes in P. sojae populations emphasize the integrated use of Rps gene-mediated resistance with partial resistance for more durable and effective defense. Quantitative trait loci (QTL) for partial resistance to P. sojae have been identified in several studies albeit in only a few genetic sources, primarily the cultivar Conrad. The first objective was to characterize six soybean plant introductions originating from East Asia for QTL conditioning partial resistance to P. sojae. The second objective was to evaluate joint-population QTL analysis (via joint inclusive composite interval mapping, JICIM) for the effectiveness of combining multiple populations with heterogeneous experimental conditions. Four populations were F7:8 and two were F4:6 generations, and they were mapped with partially overlapping sets of molecular markers. Resistance was measured either by lesion length in tray tests, or by root colonization, plant weight, root fresh weight, and root dry weight in layer tests. Conventional bi-parental QTL analysis identified ~12 QTL for a measurement in each population via composite interval mapping (CIM) using MapQTL5, which explained ~58% of total phenotypic variance (PV) in each population. Individually, most QTL explained less than 10% of PV. Interestingly, most of the QTL identified in this study mapped closely to other resistance QTL associated with resistance to other pests or pathogens or R-gene clusters. Joint-population QTL analysis (JICIM) detected the same QTL which were identified in each single-population analysis (Inclusive composite interval mapping, ICIM). In one pair of two populations with the fewest confounding factors, joint-population analysis detected an additional QTL; however this was not identified when all six of the populations were combined. In another population which had 128 RILs, no QTL were identified using the ICIM method compared to 1 QTL identified with MapQTL5. When populations were combined that were evaluated with different phenotypic methods, the same QTL were identified in the combined analysis compared to each population analyzed independently. Thus differences in phenotypic analysis did not largely affect the detection of these QTL. This study identified some limits in the use of joint linkage analysis and parameters for combining populations to detect additional QTL. Detection of additional QTL with this analysis will be enhanced if the populations are advanced beyond the F4, markers are fully integrated into large chromosome segments, and populations are sufficiently large. More importantly, populations which were evaluated with different phenotypic methods can be combined, provided common checks were used and data were normalized with the checks’ values. Many of the QTL identified in these six populations through both analyses overlapped at multiple genomic positions, while many were distinct from QTL identified in Conrad. This suggests that the QTL identified in this study will be useful in diversifying the US soybean cultivars and providing new genes to enhance resistance to P. sojae through breeding.

Download or read book Mechanisms of Resistance and Candidate Gene Analysis Towards Fusarium Graminearum and Phytophthora Sojae in Soybean written by Cassidy Renee Gedling and published by . This book was released on 2018 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerous diseases affect soybean [Glycine max (L.) Merr] yields throughout the growing season in Ohio. Two soil borne pathogens Fusarium graminearum and Phytophthora sojae are known to reduce stand and yield. Currently, fungicide seed treatments are used to manage these pathogens, however, host plant resistance is often the best management strategy for field crops. Thus, the overall objective of the five chapters this dissertation was to identify mechanisms and candidate genes of resistance that are effective towards seed, seedling, and root rots caused by Fusarium graminearum and P. sojae in soybean. Quantitative disease resistance loci (QDRL) have been mapped in two separate recombinant inbred line (RIL) populations for resistance to Fusarium graminearum . In the F7:8 RIL derived from a cross Magellan X PI 567516C, one major QDRL was mapped. Fine mapping of this region identified four putative candidate genes for resistance to Fusarium graminearum . In an additional population of Wyandot x PI 567301B, a major and minor QDRL was mapped to chromosome 8 and 6, respectively. Hybrid genome assembly, fine mapping, and RNA sequencing analysis narrowed the major QDRL to 2.5 cM containing three putative candidate genes for resistance or susceptibility. To validate these candidate genes functional analysis needs to be assessed at the seed level. To achieve this we modified the Apple latent spherical virus (ASLV) which allowed for direct inoculation of VIGS-triggering ALSV agro-infiltrated Nicotiana benthamiana leaves onto soybean unifoliates. However, this method is genotype dependent; the virus is detected in numerous reproductive structures including pods, embryos, stems, leaves, and roots. The last objective of this dissertation focuses on mechanisms of partial resistance to Phytophthora sojae . This oomycete is a leading pathogen of soybean, causing root and stem rot (PRR) across the North Central Region in the U.S. Twenty phenotypic quantitative trait loci (pQTL) were previously mapped in a F9:11 Conrad x Sloan recombinant inbred line (RIL) population on chromosomes 1, 4, 9, 15, 16, 18, and 19; however, these regions encompass large portions of the genome. Thus a systems genetics approach that incorporates expression QTL (eQTL) mapping, functional genomics, and gene co-expression analysis was taken to identify molecular mechanisms contributing towards partial resistance, with the specific objective of reducing the list of candidate genes potentially underpinning pQTL. A greater number of eQTL were mapped in inoculated samples relative to mock, indicating transcriptional reprogramming due to P. sojae infection. Of the six co-expression modules identified, three were related to PRR susceptibility driven by three casual hotspots. GO enrichment of casual hotspot GM_17_D indicates that cell wall modification is a putative mechanism for P. sojae resistance. A total of four eQTL and one eQTL hotspots were found to be co-localized with pQTL and identified five candidate genes for resistance.

Download or read book Soybean Physiology and Genetics written by and published by Academic Press. This book was released on 2022-04-20 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean Physiology and Genetics, Volume 102 presents comprehensive reviews on the latest development in soybean research, covering soybean genomics, physiology and genetics under biotic and abiotic stress, growth and development, nitrogen fixation and nutritional values, etc. Chapters in this new release cover Root Physiology and Morphology in Relationship to Stress Tolerance, Soybean Insects, Application of Genomic Studies in Soybean Breeding, Secondary metabolism in soybean, The roles of CLE peptides in nitrogen fixation in soybean, Seed morphology in soybean, Physiology and genetic regulations of oil and protein contents in soybean, Regulation of flowering and maturation in soybean, and much more. As soybeans are a key component in climate-smart agriculture because of their high nutritional value, large cultivation area, and nitrogen-fixing ability, this book fills a gap in information on this growing commodity. Presents a comprehensive review of the most up-to-date soybean research Covers the most concerned topics in soybean research, including genomics, abiotic and biotic stresses, physiology, nutritional values, nitrogen fixation, and more Explores the unique features of soybean that are beneficial for climate-smart agriculture

Download or read book Genetic Mapping in Experimental Populations written by J. W. Van Ooijen and published by Cambridge University Press. This book was released on 2013-08-08 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise introduction to genetic linkage map construction for biological researchers, combining theory with practical exercises and problem-solving tips.

Download or read book History of Soybeans and Soyfoods in Ohio written by William Shurtleff; Akiko Aoyagi and published by Soyinfo Center. This book was released on 2022-05-13 with total page 1462 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world's most comprehensive, well documented, and well illustrated book on this subject. With extensive subject and geographic index. 114 photographs and illustrations - mostly color. Free of charge in digital PDF format.

Download or read book The Soybean Genome written by Henry T. Nguyen and published by Springer. This book was released on 2017-09-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the application of soybean genome sequences to comparative, structural, and functional genomics. Since the availability of the soybean genome sequence has revolutionized molecular research on this important crop species, the book also describes how the genome sequence has shaped research on transposon biology and applications for gene identification, tilling and positional gene cloning. Further, the book shows how the genome sequence influences research in the areas of genetic mapping, marker development, and genome-wide association mapping for identifying important trait genes and soybean breeding. In closing, the economic and botanical aspects of the soybean are also addressed.

Download or read book Novel Data driven Approaches to Elucidate Interactions Between Soybean and Phytopthora Sojae written by Thivanka Sandaruwan Ratnayake and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phytophthora sojae is a soil-borne oomycete and the causal agent of Phytophthora stem and root rot (PSR) in soybean (Glycine max [L.] Merrill). The study couple high-throughput sequencing data, bioinformatics tools, and machine learning to elucidate molecular features in soybean following infection by P. Sojae as well as understand how P. Sojae evolve. We identified differentially expressed genes during compatible and incompatible interactions with P. sojae. Based on DNA Affinity Purification sequencing (DAP-seq) data, we trained a Deep Neural Network with convolution and recurrent layers to predict new target sites in the DE genes. We used 47 P. sojae isolates from the host rotation study and conducted variant calling analysis. According to genome-wide SNPs, population structure analysis indicates that there is a link between host resistant and mutations patterns in the pathogen. However, examination of the loci of 11 essential Avr genes does not support the hypothesis.

Download or read book The Applications of New Multi Locus GWAS Methodologies in the Genetic Dissection of Complex Traits written by Yuan-Ming Zhang and published by Frontiers Media SA. This book was released on 2019-06-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genome-Wide Association Studies (GWAS) are widely used in the genetic dissection of complex traits. Most existing methods are based on single-marker association in genome-wide scans with population structure and polygenic background controls. To control the false positive rate, the Bonferroni correction for multiple tests is frequently adopted. This stringent correction results in the exclusion of important loci, especially for GWAS in crop genetics. To address this issue, multi-locus GWAS methodologies have been recommended, i.e., FASTmrEMMA, ISIS EM-BLASSO, mrMLM, FASTmrMLM, pLARmEB, pKWmEB and FarmCPU. In this Research Topic, our purpose is to clarify some important issues in the application of multi-locus GWAS methods. Here we discuss the following subjects: First, we discuss the advantages of new multi-locus GWAS methods over the widely-used single-locus GWAS methods in the genetic dissection of complex traits, metabolites and gene expression levels. Secondly, large experiment error in the field measurement of phenotypic values for complex traits in crop genetics results in relatively large P-values in GWAS, indicating the existence of small number of significantly associated SNPs. To solve this issue, a less stringent P-value critical value is often adopted, i.e., 0.001, 0.0001 and 1/m (m is the number of markers). Although lowering the stringency with which an association is made could identify more hits, confidence in these hits would significantly drop. In this Research Topic we propose a new threshold of significant QTN (LOD=3.0 or P-value=2.0e-4) in multi-locus GWAS to balance high power and low false positive rate. Thirdly, heritability missing in GWAS is a common phenomenon, and a series of scientists have explained the reasons why the heritability is missing. In this Research Topic, we also add one additional reason and propose the joint use of several GWAS methodologies to capture more QTNs. Thus, overall estimated heritability would be increased. Finally, we discuss how to select and use these multi-locus GWAS methods.

Download or read book Oomycete Genetics and Genomics written by Kurt Lamour and published by John Wiley & Sons. This book was released on 2009-06-17 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the knowledge from and tools for genetic and genomic research into oomycetes to help solve the problems this pathogen poses to crops and animals. Armed with the information presented here, researchers can use oomycete data to solve practical problems and gain insight into future areas of interest. Key Features: Offers an up-to-date coverage of research into oomycetes – which has advanced with biochemical and molecular analyses in recent years Helps researchers use oomycete data to solve practical problems, like damage to crop and animal resources Includes a section on interactions with animal hosts Offers perspective on future areas of research Assembles an international author base

Download or read book Evaluation of Soybean Cyst Nematode SCN Resistance in Perennial Glycine Species and Genome wide Association Mapping and Genomic Prediction Study for SCN Resistance in Common Bean and Prediction of the Short Distance Movement of Soybean Rust Urediniospores Through Machine Learning written by Liwei Wen and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Genotyping by Sequencing for Crop Improvement written by Humira Sonah and published by John Wiley & Sons. This book was released on 2022-03-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: OGENOTYPING BY SEQUENCING FOR CROP IMPROVEMENT A thoroughly up-to-date exploration of genotyping-by-sequencing technologies and related methods in plant science In Genotyping by Sequencing for Crop Improvement, a team of distinguished researchers delivers an in-depth and current exploration of the latest advances in genotyping-by-sequencing (GBS) methods, the statistical approaches used to analyze GBS data, and its applications, including quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genomic selection (GS) in crop improvement. This edited volume includes insightful contributions on a variety of relevant topics, like advanced molecular markers, high-throughput genotyping platforms, whole genome resequencing, QTL mapping with advanced mapping populations, analytical pipelines for GBS analysis, and more. The distinguished contributors explore traditional and advanced markers used in plant genotyping in extensive detail, and advanced genotyping platforms that cater to unique research purposes are discussed, as is the whole-genome resequencing (WGR) methodology. The included chapters also examine the applications of these technologies in several different crop categories, including cereals, pulses, oilseeds, and commercial crops. Genotyping by Sequencing for Crop Improvement also offers: A thorough introduction to molecular marker techniques and recent advancements in the technology Comprehensive explorations of the genotyping of seeds while preserving their viability, as well as advances in genomic selection Practical discussions of opportunities and challenges relating to high throughput genotyping in polyploid crops In-depth examinations of recent advances and applications of GBS, GWAS, and GS in cereals, pulses, oilseeds, millets, and commercial crops Perfect for practicing plant scientists with an interest in genotyping-by-sequencing technology, Genotyping by Sequencing for Crop Improvement will also earn a place in the libraries of researchers and students seeking a one-stop reference on the foundational aspects of – and recent advances in – genotyping-by-sequencing, genome-wide association studies, and genomic selection.

Download or read book Allele Mining for Genomic Designing of Oilseed Crops written by Chittaranjan Kole and published by CRC Press. This book was released on 2024-09-18 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deliberates on the concept, strategies, tools, and techniques of allele mining in oilseed crops and its application potential in genome elucidation and improvement, including studying allele evolution, discovery of superior alleles, discerning new haplotypes, assessment of intra- and interspecific similarity, and studies of gene expression and gene prediction. Available gene pools in global germplasm collections, specifically consisting of wild allied species and local landraces for almost all major crops, have facilitated allele mining. The development of advanced genomic techniques, including PCR-based allele priming and Eco-TILLING-based allele mining, is now widely used for mining superior alleles. Allele's discovery has become more relevant now for employing molecular breeding to develop designed crop varieties matching consumer needs and with genome plasticity to adapt to climate change scenarios. All these concepts and strategies, along with precise success stories, are presented in the chapters dedicated to the major oilseed crops. 1. This is the first book on the novel strategy of allele mining in oilseed crops for precise breeding. 2. This book presents genomic strategies for mining superior alleles underlying agronomic traits from genomic resources. 3. This book depicts case studies of PCR-based allele priming and Eco-TILLING based allele mining. 4. This book elaborates on gene discovery and gene prediction in major oilseed crops. This book will be useful to students and faculties in various plant science disciplines, including genetics, genomics, molecular breeding, agronomy, and bioinformatics; scientists in seed industries; and policymakers and funding agencies interested in crop improvement.

Download or read book Oil Crop Genomics written by Huseyin Tombuloglu and published by Springer Nature. This book was released on 2021-09-20 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plants are an important source of fats and oils, which are essential for the human diet. In recent years, genomics of oil biosynthesis in plants have attracted great interest, especially in high oil-bearing plants, such as sesame, olive, sunflower, and palm. Considering that, genome sequencing projects of these plants have been undertaken with the help of advanced genomics tools such as next generation sequencing. Several genome sequencing projects of oil crops are in progress and many others are en route. In addition to genome information, advanced genomics approaches are discussed such as transcriptomics, genomics-assisted breeding, genome-wide association study (GWAS), genotyping by sequencing (GBS), and CRISPR. These have all improved our understanding of the oil biosynthesis mechanism and breeding strategies for oil production. There is, however, no book that covers the genomes and genomics of oil crops. For this reason, in this volume we collected the most recent knowledge of oil crop genomics for researchers who study oil crop genomes, genomics, biotechnology, pharmacology, and medicine. This book covers all genome-sequenced oil crops as well as the plants producing important oil metabolites. Throughout this book, the latest genomics developments and discoveries are highlighted as well as open problems and future challenges in oil crop genomics. In doing so, we have covered the state-of-the-art of developments and trends of oil crop genomics.

Download or read book Genomic Designing for Biotic Stress Resistant Oilseed Crops written by Chittaranjan Kole and published by Springer Nature. This book was released on 2022-03-18 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biotic stresses cause yield loss of 31-42% in crops in addition to 6-20% during post-harvest stage. Understanding interaction of crop plants to the biotic stresses caused by insects, bacteria, fungi, viruses, and oomycetes, etc. is important to develop resistant crop varieties. Knowledge on the advanced genetic and genomic crop improvement strategies including molecular breeding, transgenics, genomic-assisted breeding and the recently emerging genome editing for developing resistant varieties in oilseed crops is imperative for addressing FPNEE (food, health, nutrition. energy and environment) security. Whole genome sequencing of these crops followed by genotyping-by-sequencing have facilitated precise information about the genes conferring resistance useful for gene discovery, allele mining and shuttle breeding which in turn opened up the scope for 'designing' crop genomes with resistance to biotic stresses. The eight chapters each dedicated to an oilseed crop in this volume elucidate on different types of biotic stress agents and their effects on and interaction with the crop plants; enumerate on the available genetic diversity with regard to biotic stress resistance among available cultivars; illuminate on the potential gene pools for utilization in interspecific gene transfer; present brief on the classical genetics of stress resistance and traditional breeding for transferring them to their cultivated counterparts; depict the success stories of genetic engineering for developing biotic stress resistant varieties; discuss on molecular mapping of genes and QTLs underlying biotic stress resistance and their marker-assisted introgression into elite varieties; enunciate on different emerging genomics-aided techniques including genomic selection, allele mining, gene discovery and gene pyramiding for developing resistant crop varieties with higher quantity and quality of yields; and also elaborate some case studies on genome editing focusing on specific genes for generating disease and insect resistant crops.

Download or read book Soybean Breeding written by Felipe Lopes da Silva and published by Springer. This book was released on 2017-06-10 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written by soybean experts to cluster in a single publication the most relevant and modern topics in soybean breeding. It is geared mainly to students and soybean breeders around the world. It is unique since it presents the challenges and opportunities faced by soybean breeders outside the temperate world.