43 research outputs found
Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
Citation: Serba, D. D., Uppalapati, S. R., Krom, N., Mukherjee, S., Tang, Y. H., Mysore, K. S., & Saha, M. C. (2016). Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency. Bmc Genomics, 17, 14. doi:10.1186/s12864-016-3377-8Background: Switchgrass, a warm-season perennial grass studied as a potential dedicated biofuel feedstock, is classified into two main taxa - lowland and upland ecotypes - that differ in morphology and habitat of adaptation. But there is limited information on their inherent molecular variations. Results: Transcriptome analysis by RNA-sequencing (RNA-Seq) was conducted for lowland and upland ecotypes to document their gene expression variations. Mapping of transcriptome to the reference genome (Panicum virgatum v1. 1) revealed that the lowland and upland ecotypes differ substantially in sets of genes transcribed as well as levels of expression. Differential gene expression analysis exhibited that transcripts related to photosynthesis efficiency and development and photosystem reaction center subunits were upregulated in lowlands compared to upland genotype. On the other hand, catalase isozymes, helix-loop-helix, late embryogenesis abundant group I, photosulfokinases, and S-adenosyl methionine synthase gene transcripts were upregulated in the upland compared to the lowlands. At >= 100x coverage and >= 5% minor allele frequency, a total of 25,894 and 16,979 single nucleotide polymorphism (SNP) markers were discovered for VS16 (upland ecotype) and K5 (lowland ecotype) against the reference genome. The allele combination of the SNPs revealed that the transition mutations are more prevalent than the transversion mutations. Conclusions: The gene ontology (GO) analysis of the transcriptome indicated lowland ecotype had significantly higher representation for cellular components associated with photosynthesis machinery controlling carbon fixation. In addition, using the transcriptome data, SNP markers were detected, which were distributed throughout the genome. The differentially expressed genes and SNP markers detected in this study would be useful resources for traits mapping and gene transfer across ecotypes in switchgrass breeding for increased biomass yield for biofuel conversion
The autophagic response to Staphylococcus aureus provides an intracellular niche in neutrophils
Staphylococcus aureus is a major human pathogen causing multiple pathologies, from cutaneous lesions to life-threatening sepsis. Although neutrophils contribute to immunity against S. aureus, multiple lines of evidence suggest that these phagocytes can provide an intracellular niche for staphylococcal dissemination. However, the mechanism of neutrophil subversion by intracellular S. aureus remains unknown. Targeting of intracellular pathogens by macroautophagy/autophagy is recognized as an important component of host innate immunity, but whether autophagy is beneficial or detrimental to S. aureus-infected hosts remains controversial. Here, using larval zebrafish, we showed that the autophagy marker Lc3 rapidly decorates S. aureus following engulfment by macrophages and neutrophils. Upon phagocytosis by neutrophils, Lc3-positive, non-acidified spacious phagosomes are formed. This response is dependent on phagocyte NADPH oxidase as both cyba/p22phox knockdown and diphenyleneiodonium (DPI) treatment inhibited Lc3 decoration of phagosomes. Importantly, NADPH oxidase inhibition diverted neutrophil S. aureus processing into tight acidified vesicles, which resulted in increased host resistance to the infection. Some intracellular bacteria within neutrophils were also tagged by Sqstm1/p62-GFP fusion protein and loss of Sqstm1 impaired host defense. Together, we have shown that intracellular handling of S. aureus by neutrophils is best explained by Lc3-associated phagocytosis (LAP), which appears to provide an intracellular niche for bacterial pathogenesis, while the selective autophagy receptor Sqstm1 is host-protective. The antagonistic roles of LAP and Sqstm1-mediated pathways in S. aureus-infected neutrophils may explain the conflicting reports relating to anti-staphylococcal autophagy and provide new insights for therapeutic strategies against antimicrobial-resistant Staphylococci
Basics of Modeling the Probability of Corporate Borrowers' Default
The paper has developed a set of evaluation models of the probability of corporate borrowers' default, taking into account the macroeconomic and institutional factors on the example of the Russian construction industry companies. At the beginning of 2014, the lending volume of non-financial organizations was about 56% of the loan portfolio value and 39% of the value of the Russian banks' assets. The paper has given a comparative analysis of approaches to modelling the probability of default and credit risk level, the results of which were used for the classification of the existing evaluation models of the probability of default, analyzing the advantages and disadvantages of each model class, including the degree of applicability for the Russian practice. The most risk-dominant figures, application of which allows to get more relevant models in the multi-factor analysis, were studied, and this helps create the relevant methodology of social development. Having been systematized and structured, various methodological aspects of estimation the probability of default helped form a complex attitude to the estimation methods of the probability of default, taking into account the advantages and disadvantages of these methods and the degree of their applicability for the Russian practice.
Keywords: Default, risk-dominant figures, macroeconomics, corporate lending
JEL Classifications: D81, G3
Breeding Drought-Tolerant Pearl Millet using conventional and genomic approaches: Achievements and prospects
Pearl millet [Pennisetum glaucum (L.) R. Br.] is a C4 crop cultivated for its grain and stover in crop-livestock-based rain-fed farming systems of tropics and subtropics in the Indian subcontinent and sub-Saharan Africa. The intensity of drought is predicted to further exacerbate because of looming climate change, necessitating greater focus on pearl millet breeding for drought tolerance. The nature of drought in different target populations of pearl millet-growing environments (TPEs) is highly variable in its timing, intensity, and duration. Pearl millet response to drought in various growth stages has been studied comprehensively. Dissection of drought tolerance physiology and phenology has helped in understanding the yield formation process under drought conditions. The overall understanding of TPEs and differential sensitivity of various growth stages to water stress helped to identify target traits for manipulation through breeding for drought tolerance. Recent advancement in high-throughput phenotyping platforms has made it more realistic to screen large populations/germplasm for drought-adaptive traits. The role of adapted germplasm has been emphasized for drought breeding, as the measured performance under drought stress is largely an outcome of adaptation to stress environments. Hybridization of adapted landraces with selected elite genetic material has been stated to amalgamate adaptation and productivity. Substantial progress has been made in the development of genomic resources that have been used to explore genetic diversity, linkage mapping (QTLs), marker-trait association (MTA), and genomic selection (GS) in pearl millet. High-throughput genotyping (HTPG) platforms are now available at a low cost, offering enormous opportunities to apply markers assisted selection (MAS) in conventional breeding programs targeting drought tolerance. Next-generation sequencing (NGS) technology, micro-environmental modeling, and pearl millet whole genome re-sequence information covering circa 1,000 wild and cultivated accessions have helped to greater understand germplasm, genomes, candidate genes, and markers. Their application in molecular breeding would lead to the development of high-yielding and drought-tolerant pearl millet cultivars. This review examines how the strategic use of genetic resources, modern genomics, molecular biology, and shuttle breeding can further enhance the development and delivery of drought-tolerant cultivars
HIGH VOLTAGE AC PLASMA TORCH OPERATING ON VAPORS OF ORGANIC SUBSTANCES
The report deals with a three-phase high-voltage plasma torch with separate supply of gases and vapors during its operation on a mixture of steam, carbon dioxide, methane and chlorobenzene vapors. Increase in the chlorobenzene flow rate leads to increase in the arc voltage drop and electric power from 100 to 140 kW.99-9
Transcriptome analysis in switchgrass discloses ecotype difference in photosynthetic efficiency
Breeding Drought-Tolerant Pearl Millet Using Conventional and Genomic Approaches: Achievements and Prospects
Pearl millet [Pennisetum glaucum (L.) R. Br.] is a C4 crop cultivated for its grain and
stover in crop-livestock-based rain-fed farming systems of tropics and subtropics in
the Indian subcontinent and sub-Saharan Africa. The intensity of drought is predicted
to further exacerbate because of looming climate change, necessitating greater focus
on pearl millet breeding for drought tolerance. The nature of drought in different target
populations of pearl millet-growing environments (TPEs) is highly variable in its timing,
intensity, and duration. Pearl millet response to drought in various growth stages
has been studied comprehensively. Dissection of drought tolerance physiology and
phenology has helped in understanding the yield formation process under drought
conditions. The overall understanding of TPEs and differential sensitivity of various
growth stages to water stress helped to identify target traits for manipulation through
breeding for drought tolerance. Recent advancement in high-throughput phenotyping
platforms has made it more realistic to screen large populations/germplasm for droughtadaptive
traits. The role of adapted germplasm has been emphasized for drought
breeding, as the measured performance under drought stress is largely an outcome
of adaptation to stress environments. Hybridization of adapted landraces with selected
elite genetic material has been stated to amalgamate adaptation and productivity.
Substantial progress has been made in the development of genomic resources
that have been used to explore genetic diversity, linkage mapping (QTLs), markertrait
association (MTA), and genomic selection (GS) in pearl millet. High-throughput
genotyping (HTPG) platforms are now available at a low cost, offering enormous
opportunities to apply markers assisted selection (MAS) in conventional breeding
programs targeting drought tolerance. Next-generation sequencing (NGS) technology,
micro-environmental modeling, and pearl millet whole genome re-sequence information
covering circa 1,000 wild and cultivated accessions have helped to greater understand germplasm, genomes, candidate genes, and markers. Their application in molecular
breeding would lead to the development of high-yielding and drought-tolerant pearl
millet cultivars. This review examines how the strategic use of genetic resources, modern
genomics, molecular biology, and shuttle breeding can further enhance the development
and delivery of drought-tolerant cultivars
Identification, characterization, and gene expression analysis of nucleotide binding site (NB)-type resistance gene homologues in switchgrass
Abstract
Background
Switchgrass (Panicum virgatum L.) is a warm-season perennial grass that can be used as a second generation bioenergy crop. However, foliar fungal pathogens, like switchgrass rust, have the potential to significantly reduce switchgrass biomass yield. Despite its importance as a prominent bioenergy crop, a genome-wide comprehensive analysis of NB-LRR disease resistance genes has yet to be performed in switchgrass.
Results
In this study, we used a homology-based computational approach to identify 1011 potential NB-LRR resistance gene homologs (RGHs) in the switchgrass genome (v 1.1). In addition, we identified 40 RGHs that potentially contain unique domains including major sperm protein domain, jacalin-like binding domain, calmodulin-like binding, and thioredoxin. RNA-sequencing analysis of leaf tissue from ‘Alamo’, a rust-resistant switchgrass cultivar, and ‘Dacotah’, a rust-susceptible switchgrass cultivar, identified 2634 high quality variants in the RGHs between the two cultivars. RNA-sequencing data from field-grown cultivar ‘Summer’ plants indicated that the expression of some of these RGHs was developmentally regulated.
Conclusions
Our results provide useful insight into the molecular structure, distribution, and expression patterns of members of the NB-LRR gene family in switchgrass. These results also provide a foundation for future work aimed at elucidating the molecular mechanisms underlying disease resistance in this important bioenergy crop