New Sources of Soybean Seed Composition Traits Identified Through Functional Genomics

New Sources of Soybean Seed Composition Traits Identified Through Functional Genomics PDF Author: Zhou Zhou
Publisher:
ISBN:
Category : Functional genomics
Languages : en
Pages : 350

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Book Description
Soybean [Glycine max (L.) Merr.] is the world's most widely grown protein/oilseed crop and provides about 70% of global protein meal and 53% of vegetable oil in the United States. Soybean seed oil contains five major fatty acids, from which palmitic acid and stearic acid are two saturated fatty acids, oleic acid improves oxidative stability and linolenic acid is an essential fatty acid for human health. Soybean seed protein and oil are two important quality indices for soybean germplasm breeding. Soluble carbohydrates present in soybean meal provide metabolizable energy in livestock feed. To develop soybean germplasm with improved seed composition traits, it is important to discover novel source of seed fatty acid, protein, and carbohydrates traits. This dissertation aims to develop novel functional genomic technology coupled with an integrated approach for facilitating molecular soybean breeding. In this study, the first objective is to develop a high-throughput TILLING (Targeting Induced Local Lesions IN Genomes) by Target Capture Sequencing (TbyTCS) technology to improve the efficiency of discovering mutations in soybean. The robustness of this technology underlies the high yield of true mutations in genes controlling complex traits in soybean. Soybean mutagenized lines with modified fatty acids composition have been successfully developed to meet the different needs of end users. Altered fatty acids phenotypes have been associated with induced mutations in 3-ketoacyl-acyl carrier protein (ACP) synthase II (GmKASII), Delta-9-stearoyl-acyl carrier protein desaturase (GmSACPD), omega-6 fatty acid desaturase 2 (GmFAD2), and omega-3 fatty acid desaturase (GmFAD3) genes identified through TbyTCS. The second objective is to characterize the soybean acyl-ACP thioesterase gene family through a comprehensive analysis. The additional members have been discovered belonging to 16:0-ACP fatty acid thioesterase (GmFATB) gene family. The mutations at oleoyl-ACP fatty acid thioesterase (GmFATA1A) have been revealed to result in the high seed oleic acid content. The novel alleles of GmFATB genes have also been identified to confer low palmitic acid and high oleic acid phenotypes in soybean seeds. The third objective is to assess the phenotypic variations and correlation among seed composition traits in mutagenized soybean populations. Correlation analyses have been conducted among soybean carbohydrates, protein, and oil content of soybean mutagenized populations and germplasm lines. Chemical mutagenesis played an essential role in soybean breeding to generate novel and desired seed composition traits.

Soybean Breeding

Soybean Breeding PDF Author: Felipe Lopes da Silva
Publisher: Springer
ISBN: 3319574337
Category : Science
Languages : en
Pages : 439

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Book Description
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.

Genetics and Genomics of Soybean

Genetics and Genomics of Soybean PDF Author: Gary Stacey
Publisher: Springer Science & Business Media
ISBN: 0387722998
Category : Science
Languages : en
Pages : 405

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Book Description
Soybean genomics is of great interest as one of the most economically important crops and a major food source. This book covers recent advances in soybean genome research, including classical, RFLP, SSR, and SNP markers; genomic and cDNA libraries; functional genomics platforms; genetic and physical maps; and gene expression profiles. The book is for researchers and students in plant genetics and genomics, plant biology and pathology, agronomy, and food sciences.

Soybean Seed Composition

Soybean Seed Composition PDF Author: Moulay Abdelmajid Kassem
Publisher: Springer Nature
ISBN: 3030829065
Category : Science
Languages : en
Pages : 638

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Book Description
Soybean Seed Composition covers three decades of advances in quantitative trait loci (QTL) mapping of seed protein, oil, fatty acids, amino acids, sugars, mineral nutrients, isoflavones, lunasin, and other beneficial compounds. It opens with coverage of seed protein, oil, fatty acids, and amino acids and the effects that genetic and environmental factors have on them. Detailed discussion of QTL that control seed protein, oil, and fatty acids follows, and the book also covers seed amino acids, macronutrients, micronutrients, sugars, and other compounds that are key to selection for crop improvement. The book also provides an overview of two decades of QTL mapping of mineral deficiencies in soybean, which sheds light on the importance of a balanced mineral nutrition in soybean and other crops, elucidates salt stress tolerance QTL mapping, which is another challenge that faces soybean and other crop production worldwide. The importance of soybean seed isoflavones from their biosynthesis and quantification methods to locations and variations in seeds, roots, and leaves, to their QTL mapping is discussed, as well as providing key information on lunasin, a bioactive anticancer peptide in soybean seeds that will help farmers and breeders to develop soybean cultivars with improved seed isoflavones and lunasin content. The book will be of interest to graduate students, academics, and researchers in the fields of genetic and QTL mapping of important agronomic traits in soybean and other crops.

The Soybean Genome

The Soybean Genome PDF Author: Henry T. Nguyen
Publisher: Springer
ISBN: 3319641980
Category : Science
Languages : en
Pages : 216

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Book Description
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.

Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean

Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean PDF Author: Samantha J. McConaughy
Publisher:
ISBN:
Category : Soybean
Languages : en
Pages : 172

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Book Description
Soybeans [Glycine max (L.) Merr.] are processed for their high-quality vegetable oil and protein meal for feed, food, and industrial applications but, because of the high negative correlations between seed protein and oil concentration, it has been difficult to develop soybean lines with concomitant increases in both protein and oil. Previous studies considered only seed protein or oil concentration. This study is unique in that populations were developed using parental lines that differed in their protein, oil, and total carbohydrate concentrations in the mature seed. Two soybean populations were developed using soybean accession PI 547827 with lower total sugars as a common parent, crossed to two different soybean lines with modified protein and oil concentrations. The objectives were to identify quantitative trait loci (QTL) related to seed protein, oil, and carbohydrate concentration as well as for individual sugars sucrose, raffinose, and stachyose. For each of the two crosses, F4-derived recombinant inbred lines (RIL) were developed through single seed descent resulting in 526 and 404 RILs, respectively. Genotypes were determined for F4 plants by genotyping-by-sequence (GbS), resulting in 1,650 to 2,850 polymorphic SNPs used for QTL analyses. Populations were grown in an augmented design in two Nebraska and one Puerto Rico environment to evaluate seed composition, yield, and maturity. The QTL analyses identified 23 novel QTL across all seed composition traits, protein, oil, sum(p+o) or carbohydrate concentration, and each of the sugars on 17 different linkage groups. Ninety nine percent of the lines in the high protein cross, and 100% of the lines in the high oil cross exceeded processor targets of 11 pounds of oil per bushel and a soybean meal with greater than 47.5% protein. Correlations between yield and the sum(p+o) were either zero or slightly positive, indicating that it should be possible to identify high-yielding lines with increased seed protein and oil concentration. Populations like these, and the QTL identified here, will be useful in achieving those objectives to provide more value for both the processor and producer.

Soybeans

Soybeans PDF Author: Lawrence A. Johnson
Publisher: Elsevier
ISBN: 0128043520
Category : Technology & Engineering
Languages : en
Pages : 853

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Book Description
This comprehensive new soybean reference book disseminates key soybean information to “drive success for soybeans via 23 concise chapters covering all aspects of soybeans--from genetics, breeding and quality to post-harvest management, marketing and utilization (food and energy applications), U.S. domestic versus foreign practices and production methods. The most complete and authoritative book on soybeans Features internationally recognized authors in the 21-chapter book Offers sufficient depth to meet the needs of experts in the subject matter, as well as individuals with basic knowledge of the topic

Genomic Selection for Yield and Seed Composition Stability in an Applied Soybean Breeding Program

Genomic Selection for Yield and Seed Composition Stability in an Applied Soybean Breeding Program PDF Author: Benjamin Mark Harms
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Stability traits are of primary importance in plant breeding to ensure consistency in phenotype across a range of environments. However, selection efficiency and accuracy for stability traits can be hindered due to the requirement of obtaining phenotype data across multiple years and environments for proper stability analysis. Genomic selection is a method that allows prediction of a phenotype prior to observation in the field using genome-wide marker data and phenotype data from a training population. To assess prediction of stability traits, two elite-yielding soybean populations developed three years apart in the same breeding program were used. The individuals in each population were tested across three years and seven or more environments, allowing for calculation of observed stability and assessment of prediction accuracy. The primary goal of this research was to provide an overview of genomic selection for yield stability, protein content stability, and oil content stability in an applied soybean breeding program. Factors affecting prediction accuracy were assessed, including SNP density, SNP marker type, and stability measure. Briefly, predictive abilities were low across all stability traits and stability measures for prediction across populations, ranging from -0.01 to 0.37. During applied prediction of non-parametric measures for yield stability, we obtained rank coincidence of roughly 0.65. When individuals in the top half of predicted stability are selected, roughly 65% of those individuals are expected to be in the top half of observed stability. For prediction of protein and oil content stability for static environmental variance stability, we obtained rank coincidence of 0.59 and 0.58. While predictive abilities were too low for use in a breeding program, rank coincidence gave more promising results for applied genomic selection for stability traits. With improvement in methods such as prediction model, SNP type, and greater training and validation phenotype environments, there is potential for genomic selection to effectively improve stability in a breeding program by implementing selection at an early stage when phenotype data are insufficient to select for stability.

Soybeans: Improvement, Production, and Uses

Soybeans: Improvement, Production, and Uses PDF Author: Billy E. Caldwell
Publisher:
ISBN:
Category : Soybean
Languages : en
Pages : 712

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Book Description


The Handbook of Plant Functional Genomics

The Handbook of Plant Functional Genomics PDF Author: Guenter Kahl
Publisher: John Wiley & Sons
ISBN: 3527622551
Category : Science
Languages : de
Pages : 576

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Book Description
In this incisive, concise overview of this booming field, the editors -- two of the leading figures in the field with a proven track record -- combine their expertise to provide an invaluable reference on the topic. Following a treatment of transcriptome analysis, the book goes on to discuss replacement and mutation analysis, gene silencing and computational analysis. The whole is rounded off with a look at emerging technologies. Each chapter is accompanied by a concise overview, helping readers to quickly identify topics of interest, while important, carefully selected words and concepts are explained in a handy glossary. Equally accessible to both experienced scientists and newcomers to the field.