26 research outputs found
Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India
Delhi, the national capital of India, experienced multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in 2020 and reached population seropositivity of >50% by 2021. During April 2021, the city became overwhelmed by COVID-19 cases and fatalities, as a new variant, B.1.617.2 (Delta), replaced B.1.1.7 (Alpha). A Bayesian model explains the growth advantage of Delta through a combination of increased transmissibility and reduced sensitivity to immune responses generated against earlier variants (median estimates: 1.5-fold greater transmissibility and 20% reduction in sensitivity). Seropositivity of an employee and family cohort increased from 42% to 87.5% between March and July 2021, with 27% reinfections, as judged by increased antibody concentration after a previous decline. The likely high transmissibility and partial evasion of immunity by the Delta variant contributed to an overwhelming surge in Delhi
Not Available
Not AvailableKarnal bunt (KB) of wheat (Triticum aestivum L.), known as partial bunt has its origin in
Karnal, India and is caused by Tilletia indica (Ti). Its incidence had grown drastically since late 1960s
from northwestern India to northern India in early 1970s. It is a seed, air and soil borne pathogen
mainly affecting common wheat, durum wheat, triticale and other related species. The seeds become
inedible, inviable and infertile with the precedence of trimethylamine secreted by teliospores in
the infected seeds. Initially the causal pathogen was named Tilletia indica but was later renamed
Neovossia indica. The black powdered smelly spores remain viable for years in soil, wheat straw and
farmyard manure as primary sources of inoculum. The losses reported were as high as 40% in India
and also the cumulative reduction of national farm income in USA was USD 5.3 billion due to KB.
The present review utilizes information from literature of the past 100 years, since 1909, to provide
a comprehensive and updated understanding of KB, its causal pathogen, biology, epidemiology,
pathogenesis, etc. Next generation sequencing (NGS) is gaining popularity in revolutionizing KB
genomics for understanding and improving agronomic traits like yield, disease tolerance and disease
resistance. Genetic resistance is the best way to manage KB, which may be achieved through detection
of genes/quantitative trait loci (QTLs). The genome-wide association studies can be applied to reveal
the association mapping panel for understanding and obtaining the KB resistance locus on the wheat
genome, which can be crossed with elite wheat cultivars globally for a diverse wheat breeding
program. The review discusses the current NGS-based genomic studies, assembly, annotations,
resistant QTLs, GWAS, technology landscape of diagnostics and management of KB. The compiled
exhaustive information can be beneficial to the wheat breeders for better understanding of incidence
of disease in endeavor of quality production of the crop.Not Availabl
Genome-Wide Identification and Characterization of Trihelix Gene Family in Asian and African <i>Vigna</i> Species
Trihelix transcription factors play a crucial role in varied stress responses as well as in the growth and development of plants. The role of trihelix transcription factors in the non-shattering phenotype in domesticated rice is known. The Vigna group of crops has different degrees of shattering phenotypes in different species. To understand the evolutionary conservation or divergence of the trihelix gene family in important Vigna species here, the genome-wide identification and characterization of the trihelix gene family in four Vigna species including the cowpea (Vigna unguiculata), mung bean (V. radiata), adzuki bean (V. angularis) and rice bean (V. umbellata) was performed. A total of 39, 35, 41 and 50 trihelix genes were identified in the cowpea, mung bean, adzuki bean and rice bean, respectively. The trihelix genes in each of the four Vigna species were classified into five subgroups: GT, GTγ, SH4, S1P1 and GTδ. The members of each subgroup shared similar patterns of gene structure and motif across the four species. The cross-species positional relationships of the cowpea, adzuki bean and mung bean vis-a-vis rice trihelix genes were studied. Further, the Ka/Ks ratio for the trihelix genes in the four Vigna species indicated the purifying or stabilizing selection of the family. The gene expression analysis of the trihelix gene family in the cowpea showed that most of the genes express in at least some of the seed and/or pod developmental stages, although at varying degrees. Based on detailed bioinformatic analysis, a potential target for gene editing towards a possible non-shattering phenotype in the four important Vigna crops was discussed
Generation of an induced pluripotent stem cell line IGIBi18-A from an Indian patient with Rubinstein Taybi Syndrome
Rubinstein Taybi Syndrome (RSTS) is a rare genetic disorder which is caused by mutations in either CREBBP or EP300. RSTS with mutations in CREBBP is known as RSTS-1. We have generated an induced pluripotent stem cell (iPSC) line, IGIBi018-A from an Indian RSTS-patient using the episomal reprogramming method. The CREBBP gene in the patient harbours a nonsense mutation at position NM_004380.3(c.6876 del C). IGIBi018-A iPSC showed expression of pluripotent stem cell markers, has a normal karyotype and could be differentiated into three germ layers. This iPSC line will help to explore the role of CREBBP in RSTS associated developmental defects
Geographical Landscape and Transmission Dynamics of SARS-CoV-2 Variants Across India: A Longitudinal Perspective
Globally, SARS-CoV-2 has moved from one tide to another with ebbs in between. Genomic surveillance has greatly aided the detection and tracking of the virus and the identification of the variants of concern (VOC). The knowledge and understanding from genomic surveillance is important for a populous country like India for public health and healthcare officials for advance planning. An integrative analysis of the publicly available datasets in GISAID from India reveals the differential distribution of clades, lineages, gender, and age over a year (Apr 2020–Mar 2021). The significant insights include the early evidence towards B.1.617 and B.1.1.7 lineages in the specific states of India. Pan-India longitudinal data highlighted that B.1.36* was the predominant clade in India until January–February 2021 after which it has gradually been replaced by the B.1.617.1 lineage, from December 2020 onward. Regional analysis of the spread of SARS-CoV-2 indicated that B.1.617.3 was first seen in India in the month of October in the state of Maharashtra, while the now most prevalent strain B.1.617.2 was first seen in Bihar and subsequently spread to the states of Maharashtra, Gujarat, and West Bengal. To enable a real time understanding of the transmission and evolution of the SARS-CoV-2 genomes, we built a transmission map available on https://covid19-indiana.soic.iupui.edu/India/EmergingLineages/April2020/to/March2021. Based on our analysis, the rate estimate for divergence in our dataset was 9.48 e-4 substitutions per site/year for SARS-CoV-2. This would enable pandemic preparedness with the addition of future sequencing data from India available in the public repositories for tracking and monitoring the VOCs and variants of interest (VOI). This would help aid decision making from the public health perspective
Not Available
Not AvailableThe success of drought tolerance breeding programs can be enhanced through molecular
assortment of germplasm. This study was designed to characterize molecular diversity
within and between Lens species with different adaptations to drought stress conditions
using SSR markers. Drought stress was applied at seedling stage to study the effects on
morpho-physiological traits under controlled condition, where tolerant cultivars and wilds
showed 12.8–27.6% and 9.5–23.2% reduction in seed yield per plant respectively. When
juxtaposed to field conditions, the tolerant cultivars (PDL-1 and PDL-2) and wild (ILWL-314
and ILWL-436) accessions showed 10.5–26.5% and 7.5%–15.6% reduction in seed yield
per plant, respectively under rain-fed conditions. The reductions in seed yield in the two tolerant
cultivars and wilds under severe drought condition were 48–49% and 30.5–45.3%
respectively. A set of 258 alleles were identified among 278 genotypes using 35 SSR markers.
Genetic diversity and polymorphism information contents varied between 0.321–0.854
and 0.299–0.836, with mean value of 0.682 and 0.643, respectively. All the genotypes were
clustered into 11 groups based on SSR markers. Tolerant genotypes were grouped in cluster
6 while sensitive ones were mainly grouped into cluster 7. Wild accessions were separated
from cultivars on the basis of both population structure and cluster analysis. Cluster
analysis has further grouped the wild accessions on the basis of species and sub-species
into 5 clusters. Physiological and morphological characters under drought stress were significantly
(P = 0.05) different among microsatellite clusters. These findings suggest that
drought adaptation is variable among wild and cultivated genotypes. Also, genotypes from
contrasting clusters can be selected for hybridization which could help in evolution of better
segregants for improving drought tolerance in lentil.Not Availabl
Molecular Assortment of Lens Species with Different Adaptations to Drought Conditions Using SSR Markers.
The success of drought tolerance breeding programs can be enhanced through molecular assortment of germplasm. This study was designed to characterize molecular diversity within and between Lens species with different adaptations to drought stress conditions using SSR markers. Drought stress was applied at seedling stage to study the effects on morpho-physiological traits under controlled condition, where tolerant cultivars and wilds showed 12.8-27.6% and 9.5-23.2% reduction in seed yield per plant respectively. When juxtaposed to field conditions, the tolerant cultivars (PDL-1 and PDL-2) and wild (ILWL-314 and ILWL-436) accessions showed 10.5-26.5% and 7.5%-15.6% reduction in seed yield per plant, respectively under rain-fed conditions. The reductions in seed yield in the two tolerant cultivars and wilds under severe drought condition were 48-49% and 30.5-45.3% respectively. A set of 258 alleles were identified among 278 genotypes using 35 SSR markers. Genetic diversity and polymorphism information contents varied between 0.321-0.854 and 0.299-0.836, with mean value of 0.682 and 0.643, respectively. All the genotypes were clustered into 11 groups based on SSR markers. Tolerant genotypes were grouped in cluster 6 while sensitive ones were mainly grouped into cluster 7. Wild accessions were separated from cultivars on the basis of both population structure and cluster analysis. Cluster analysis has further grouped the wild accessions on the basis of species and sub-species into 5 clusters. Physiological and morphological characters under drought stress were significantly (P = 0.05) different among microsatellite clusters. These findings suggest that drought adaptation is variable among wild and cultivated genotypes. Also, genotypes from contrasting clusters can be selected for hybridization which could help in evolution of better segregants for improving drought tolerance in lentil
BA.1, BA.2 and BA.2.75 variants show comparable replication kinetics, reduced impact on epithelial barrier and elicit cross-neutralizing antibodies.
The Omicron variant of SARS-CoV-2 is capable of infecting unvaccinated, vaccinated and previously-infected individuals due to its ability to evade neutralization by antibodies. With multiple sub-lineages of Omicron emerging in the last 12 months, there is inadequate information on the quantitative antibody response generated upon natural infection with Omicron variant and whether these antibodies offer cross-protection against other sub-lineages of Omicron variant. In this study, we characterized the growth kinetics of Kappa, Delta and Omicron variants of SARS-CoV-2 in Calu-3 cells. Relatively higher amounts infectious virus titers, cytopathic effect and disruption of epithelial barrier functions was observed with Delta variant whereas infection with Omicron sub-lineages led to a more robust induction of interferon pathway, lower level of virus replication and mild effect on epithelial barrier. The replication kinetics of BA.1, BA.2 and BA.2.75 sub-lineages of the Omicron variant were comparable in cell culture and natural infection in a subset of individuals led to a significant increase in binding and neutralizing antibodies to the Delta variant and all the three sub-lineages of Omicron but the level of neutralizing antibodies were lowest against the BA.2.75 variant. Finally, we show that Cu2+, Zn2+ and Fe2+ salts inhibited in vitro RdRp activity but only Cu2+ and Fe2+ inhibited both the Delta and Omicron variants in cell culture. Thus, our results suggest that high levels of interferons induced upon infection with Omicron variant may counter virus replication and spread. Waning neutralizing antibody titers rendered subjects susceptible to infection by Omicron variants and natural Omicron infection elicits neutralizing antibodies that can cross-react with other sub-lineages of Omicron and other variants of concern
Genome and transcriptome based comparative analysis of Tilletia indica to decipher the causal genes for pathogenicity of Karnal bunt in wheat
Abstract Tilletia indica Mitra causes Karnal bunt (KB) in wheat by pathogenic dikaryophase. The present study is the first to provide the draft genomes of the dikaryon (PSWKBGD-3) and its two monosporidial lines (PSWKBGH-1 and 2) using Illumina and PacBio reads, their annotation and the comparative analyses among the three genomes by extracting polymorphic SSR markers. The trancriptome from infected wheat grains of the susceptible wheat cultivar WL711 at 24Â h, 48h, and 7d after inoculation of PSWKBGH-1, 2 and PSWKBGD-3 were also isolated. Further, two transcriptome analyses were performed utilizing T. indica transcriptome to extract dikaryon genes responsible for pathogenesis, and wheat transcriptome to extract wheat genes affected by dikaryon involved in plant-pathogen interaction during progression of KB in wheat. A total of 54, 529, and 87 genes at 24hai, 48hai, and 7dai, respectively were upregulated in dikaryon stage while 21, 35, and 134 genes of T. indica at 24hai, 48hai, and 7dai, respectively, were activated only in dikaryon stage. While, a total of 23, 17, and 52 wheat genes at 24hai, 48hai, and 7dai, respectively were upregulated due to the presence of dikaryon stage only. The results obtained during this study have been compiled in a web resource called TiGeR ( http://backlin.cabgrid.res.in/tiger/ ), which is the first genomic resource for T. indica cataloguing genes, genomic and polymorphic SSRs of the three T. indica lines, wheat and T. indica DEGs as well as wheat genes affected by T. indica dikaryon along with the pathogenecity related proteins of T. indica dikaryon during incidence of KB at different time points. The present study would be helpful to understand the role of dikaryon in plant-pathogen interaction during progression of KB, which would be helpful to manage KB in wheat, and to develop KB-resistant wheat varieties
UPGMA tree based on dissimilarity index of 35 SSR markers for 278 lentil genotypes.
<p>UPGMA tree based on dissimilarity index of 35 SSR markers for 278 lentil genotypes.</p