Download or read book Characterization of Rps8 and Rps3 Resistance Genes to Phytophthora Sojae Through Genetic Fine Mapping and Physical Mapping of Soybean Chromosome 13 written by Andika Gunadi and published by . This book was released on 2012 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Dominant race-specific resistance genes in soybean [Glycine max (L.) Merrill] is a major component in the management of the root and stem rot pathogen Phytophthora sojae Kaufmann and Gerdemann. Several of these resistance genes, namely Rps3a, Rps3b, Rps3c and Rps8 were mapped in previous studies within the vicinity of a resistance-gene-rich region on the long arm of soybean chromosome 13. These genes provide valuable resources for breeding elite soybean cultivars with extended lifetime of resistance to P. sojae. However, a more precise determination of the relationship among these genes, as well as their cloning are necessary for expediting breeding efforts involving gene stacking of resistance genes from chromosome 13. In the first part of this study, allelism studies and linkage analysis were performed to elucidate the genetic distance and the positioning of Rps3a, Rps3c and Rps8. Isolates of P. sojae with virulence patterns specific for avirulence to all 3 genes as well as avirulence or virulence corresponding to one gene or another were used to evaluate the disease resistance within F2:3 and F3:4 mapping populations derived from crosses of soybean genotypes with Rps3a and Rps8, as well as Rps3c and Rps8. The second part of this study involved the screening of Bacterial Artificial Chromosome (BAC) libraries and the sequencing of selected BAC clones for the development of physical map of Rps3a and Rps8 genetic region. The allelism studies suggest that Rps3a and Rps8 are linked at a genetic distance of greater than or equal to 11.0 cM, while Rps3c and Rps8 are not linked. Preliminary genetic linkage maps of the long arm of chromosome 13 have been successfully developed from L83-570 (Rps3aRps3a) PI 399073 (RpsNRpsNRps8Rps8) and L92-7857 (Rps3cRps3c) PI 399073 F3:4 populations. In this study, Rps8 was mapped to a previously reported location in chromosome 13, north of the simple sequence repeat marker Satt114, and flanked by markers Sat_103 and Sat_234. Highly significant association was identified between Rps3c and single nucleotide polymorphism marker on chromosome 18 (BARC-032785-09037, P

Download or read book Mapping Multiple Novel Race specific Resistance Genes for Phytophthora Sojae in Soybean PI 408211B written by Zhifen Zhang and published by . This book was released on 2009 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Phytophthora sojae is one of the most destructive soybean pathogens. Thus far, fourteen race-specific resistance genes (Rps) towards P. sojae have been identified, however new pathotypes have emerged as they were deployed. In response to the emergence of many new pathotypes, novel Rps genes need to be identified. PI 408211B was proposed as a source of novel resistance genes for P. sojae. The objective of this study was to map one locus for resistance to isolate OH17 (vir. 1b, 1d, 2, 3a, 3b, 3c, 4, 5, 6 and 7) and the three candidate genomic regions for resistance to isolate OH25 (vir. 1a, 1b, 1c, 1k and 7). In three separate mapping populations, resistance to OH17 was mapped to Rps1 region on chromosome 3 where there is a R-gene cluster with simple sequence repeat (SSR) and single nucleotide polymorphisms (SNPs) markers. The resistance locus for OH17 was flanked by SSR markers GM3093 and GM3203, both with a genetic distance of 2.1cM from the locus, but the allelism test for this locus to Rps1 was unsuccessful. Bulk segregant analysis (BSA) was used to identify three loci for resistance to OH25 in a Stressland x PI 408211B BC4F2:7 population. Twelve DNA pools each with sixteen to twenty resistant individuals and a DNA pool of all susceptible individuals were screened with two hundred and nineteen SSR markers covering twenty chromosomes. The results of the BSA indicated that the resistance to OH25 in PI408211B was conferred by novel loci as SSR markers previously linked with known Rps locus were not associated with the resistance. In addition, ten homozygous resistant isolines were selected from this population and screened with eight hundred and eighty SNP markers to detect introgressions from PI 408211B potentially carrying novel resistance loci. Two putative loci were identified by BSA and single marker association analysis. One region tagged with Sat_044 and its adjacent markers on chromosome 9 (MLG K) associated with resistance to OH25 was identified in Stressland x PI 408211B BC4F2:7, Strong x PI 408211B BC4F2:3 and PI 408211B x Williams F4:6. Another region tagged with Satt660 and Satt549 on chromosome 3 (MLG N) associated with resistance to OH25 was identified through single marker association analysis in PI 408211B x Williams F4:5, and one introgression of PI 408211B was detected close to that region in Strong x PI 408211B BC4F2:3. Efforts were made to identify an isolate to which only one of these three loci conferred resistance, but no such isolate was identified to fine map one of the novel loci in PI 408211B.

Download or read book Functional Gene Analysis of Resistance QTL Towards Phytophthora Sojae on Soybean Chromosome 19 written by Anna K. Stasko and published by . This book was released on 2018 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phytophthora sojae is the causal agent of Phytophthora root and stem rot of soybean. One of the most effective disease management strategies against this pathogen is the use of resistant cultivars, primarily through single gene, Rps-mediated resistance. However, numerous populations of P. sojae have adapted to most Rps genes that are deployed in modern soybean cultivars, rendering them susceptible to this pathogen. Quantitative resistance, conferred by quantitative disease resistance loci (QDRL), offers an alternative to Rps-based resistance. Previous studies mapped two QDRL to chromosome 19 in the soybean cultivar Conrad, which has a high level of quantitative resistance. A recombinant inbred line (RIL) population derived from a cross of Conrad by Sloan (a moderately susceptible cultivar) used for mapping these QDRL was advanced to the F9:11 generation. This population was used to map/re-map the QDRL towards three isolates of P. sojae, and one isolate each of Pythium irregulare and Fusarium graminearum, using the SoySNP6K BeadChip for high-density marker genotyping. A total of ten, two, and three QDRL and suggestive QDRL were found that confer resistance to P. sojae, Py. irregulare, and F. graminearum, respectively. Individual QDRL explained 2-13.6% of the phenotypic variance (PV). One QDRL for both Py. irregulare and F. graminearum co-localized on chromosome 19. This resistance was contributed by Sloan and was juxtaposed to a QDRL for P. sojae with resistance contributed from Conrad. Alleles for resistance to different pathogens contributed from different parents in the same region, the number of unique QDRL for each pathogen, and the lack of correlation of resistance suggest that different mechanisms are involved in resistance towards these three pathogens. Interestingly, the QDRL located on chromosome 19 contained several genes related to auxin processes, which are known to contribute to susceptibility to several pathogens in Arabidopsis and may contribute to susceptibility of soybean to P. sojae. In this study, auxin metabolites were measured in P. sojae mycelia, media from P. sojae liquid cultures, and inoculated soybean roots. Auxin precursors were detected in the mycelia of P. sojae as well as the synthetic media. More importantly, auxin levels were significantly higher in inoculated roots than the mock controls in both resistant and susceptible genotypes at 48 hours after inoculation (hai). To examine the role of auxin transport in susceptibility to P. sojae, the nucleotide sequences and expression of root-related soybean auxin efflux transporters, GmPINs, were compared between Conrad and Sloan. There were sequence differences between the two cultivars; however, experimental variability prevented accurate detection of expression differences through a quantitative PCR approach. An auxin transport inhibitor and a synthetic auxin were applied to Conrad and Sloan to assess changes in infection of these cultivars with chemically altered auxin processes. As with the gene expression analysis, experimental variation prevented us from determining the exact effect of these treatments. Finally, several different approaches were used to begin developing a system for functional gene analysis, including composite plant-based hairy roots, cotyledon-based hairy roots, and virus-induced gene silencing (VIGS). Composite plant-based hairy roots were difficult to inoculate with P. sojae, Py. irregulare, and F. graminearum. Cotyledon-based hairy roots allowed for more consistent inoculation with P. sojae and expedited experimental testing of RNAi constructs targeting candidate genes. One of these constructs was able to reduce the expression of its target gene in three soybean genetic backgrounds. A Bean pod mottle virus (BPMV) VIGS vector used here moved systemically into soybean roots but was not effective at silencing candidate gene targets in this tissue. Future studies should continue to refine environmental/experimental conditions to reduce variation and develop a reliable method of assessing change in quantitative disease resistance to define the roles of candidate genes.

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 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 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 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 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 of Climate smart Oilseed Crops written by Chittaranjan Kole and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights modern strategies and methods to improve oilseed crops in the era of climate change, presenting the latest advances in plant molecular breeding and genomics-driven breeding. Spectacular achievements in the fields of molecular breeding, transgenics and genomics in the last three decades have facilitated revolutionary changes in oilseed- crop-improvement strategies and techniques. Since the genome sequencing of rice, as the first crop plant, in 2002, the genomes of about one dozen oilseed crops have been sequenced and more are to follow. This has made it possible to decipher the exact nucleotide sequence and chromosomal positions of agroeconomic genes. Most importantly, comparative genomics and genotyping-by-sequencing have opened up new vistas for exploring available biodiversity, particularly of wild crop relatives, for identifying useful donor genes.

Download or read book Oil Crops written by Johann Vollmann and published by Springer Science & Business Media. This book was released on 2009-09-18 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: When one is privileged to participate long enough in a professional capacity, certain trends may be observed in the dynamics of how challenges are met or how problems are solved. Agricultural research is no exception in view of how the plant sciences have moved forward in the past 30 years. For example, the once grand but now nearly forgotten art of whole plant physiology has given way almost completely to the more sophisticated realm of molecular biology. What once was the American Society of Plant Physiologists’ is now the American Society of Plant Molecular Biology; a democratic decision to indemnify efforts to go beyond the limits of the classical science and actually begin to understand the underlying biological basis for genetic regulation of metabolic mechanisms in plants. Yet, as new technologies open windows of light on the inner workings of biological processes, one might reminisce with faint nostalgia on days long past when the artisans of plant physiology, biochemistry, analytical chemistry and other scientific disciplines ebbed and waned in prominence. No intentional reference is made here regarding Darwinism; the plant sciences always have been extremely competitive. Technology is pivotal. Those who develop and/or implement innovative concepts typically are regarded as leaders in their respective fields. Each positive incremental step helps bring recognition and the impetus to push a scientific discipline forward with timely approaches to address relevant opportunities.

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 Genetics and Genomics of Soybean written by Gary Stacey and published by Springer Science & Business Media. This book was released on 2008-05-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Program Emphasis Areas written by and published by . This book was released on 1994 with total page 2 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Crop Production for Agricultural Improvement written by Muhammad Ashraf and published by Springer Science & Business Media. This book was released on 2012-06-02 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the recent years, the looming food scarcity problem has highlighted plant sciences as an emerging discipline committed to devise new strategies for enhanced crop productivity. The major factors causing food scarcity are biotic and abiotic stresses such as plant pathogens, salinity, drought, flooding, nutrient deficiency or toxicity which substantially limit crop productivity world-wide. In this scenario, strategies should be adopted to achieve maximum productivity and economic crop returns. In this book we have mainly focused on physiological, biochemical, molecular and genetic bases of crop development and related approaches that can be used for crop improvement under environmental adversaries. In addition, the adverse effects of different biotic (diseases, pathogens etc.) and abiotic (salinity, drought, high temperatures, metals etc) stresses on crop development and the potential strategies to enhance crop productivity under stressful environments are also discussed.

Download or read book Biotic and Abiotic Stress Tolerance in Plants written by Sharad Vats and published by Springer. This book was released on 2018-06-11 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights some of the most important biochemical, physiological and molecular aspects of plant stress, together with the latest updates. It is divided into 14 chapters, written by eminent experts from around the globe and highlighting the effects of plant stress (biotic and abiotic) on the photosynthetic apparatus, metabolites, programmed cell death, germination etc. In turn, the role of beneficial elements, glutathione-S-transferase, phosphite and nitric oxide in the adaptive response of plants under stress and as a stimulator of better plant performance is also discussed. A dedicated chapter addresses research advances in connection with Capsicum, a commercially important plant, and stress tolerance, from classical breeding to the recent use of large-scale transcriptome and genome sequencing technologies. The book also explores the significance of the liliputians of the plant kingdom (Bryophytes) as biomonitors/bioindicators, and general and specialized bioinformatics resources that can benefit anyone working in the field of plant stress biology. Given the information compiled here, the book will offer a valuable guide for students and researchers of plant molecular biology and stress physiology alike.

Download or read book Compendium of Soybean Diseases and Pests written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: