Surabhi Srivastava

Background COVID-19 emerged as a global pandemic in 2020, rapidly spreading to most parts of the world. The proportion of infected individuals in a population can be reliably estimated via sero-surveillance, making it a valuable tool for planning control measures. We conducted a serosurvey study to investigate SARS-CoV-2 seroprevalence in the urban population of Hyderabad at the end of the first wave of infections. Methods The cross-sectional survey conducted in January 2021 included males and females aged 10 years and above, selected by multi-stage random sampling. 9363 samples were collected from 30 wards distributed over 6 zones of Hyderabad and tested for antibodies against SARS-CoV-2 nucleocapsid antigen. Results Overall seropositivity was 54.2%, ranging from 50-60% in most wards. Highest exposure appeared to be among 30-39y and 50-59y olds, with women showing greater seropositivity. Seropositivity increased with family size, with only marginal differences among people with varying levels of education. Seroprevalence was significantly lower among smokers. Only 11% of the survey subjects reported any COVID-19 symptoms, while 17% had appeared for Covid testing. Conclusion Over half the city’s population was infected within a year of onset of the pandemic. However, ∼46% people were still susceptible, contributing to subsequent waves of infection. Highlights ⍰ National level serosurveys under-estimate localised prevalence in dense urban areas ⍰ SARS-CoV-2 seroprevalence in Hyderabad city was 54.2% after the first wave ⍰ A large proportion of the population remains at risk over a year into the pandemic

A majority of the cases of primary male infertility are idiopathic with the underlying molecular mechanisms contributing to the pathophysiology as yet unknown. Effects of the environment can alter the sperm epigenome thereby impacting male reproductive health. Epigenetic mechanisms are crucial to understanding health and disease, and methylome alterations are now known to have far‐reaching clinical implications. Here, we report the results from our pilot study, a first of its kind analysis of the effect of the traditional practice of yoga on human sperm quality. We find marked improvement in sperm characteristics in patients of idiopathic male infertility following a supervised 21‐day yoga regimen. Furthermore, next‐generation sequencing‐based methylome analysis reveals alterations in the sperm epigenome of these patients. We find that the practice of yoga is associated with DNA methylation changes at nearly 400 genes, 147 of which were hypermethylated while 229 were hypomethylated. These included promoters of several genes linked to maintenance of fertility and genomic integrity. This novel piece of work draws a direct link between positive lifestyle practices and male reproductive health.

Microsatellites, or Simple Sequence Repeats (SSRs), are short tandem repeats of 1–6 nt motifs present in all genomes. Emerging evidence points to their role in cellular processes and gene regulation. Despite the huge resource of genomic information currently available, SSRs have been studied in a limited context and compared across relatively few species. We have identified ~ 685 million eukaryotic microsatellites and analyzed their genomic trends across 15 taxonomic subgroups from protists to mammals. The distribution of SSRs reveals taxon-specific variations in their exonic, intronic and intergenic densities. Our analysis reveals the differences among non-related species and novel patterns uniquely demarcating closely related species. We document several repeats common across subgroups as well as rare SSRs that are excluded almost throughout evolution. We further identify species-specific signatures in pathogens like Leishmania as well as in cereal crops, Drosophila, birds and primates. We also find that distinct SSRs preferentially exist as long repeating units in different subgroups; most unicellular organisms show no length preference for any SSR class, while many SSR motifs accumulate as long repeats in complex organisms, especially in mammals. We present a comprehensive analysis of SSRs across taxa at an unprecedented scale. Our analysis indicates that the SSR composition of organisms with heterogeneous cell types is highly constrained, while simpler organisms such as protists, green algae and fungi show greater diversity in motif abundance, density and GC content. The microsatellite dataset generated in this work provides a large number of candidates for functional analysis and for studying their roles across the evolutionary landscape.

Microsatellites, also known as Simple Sequence Repeats (SSRs), are evolutionarily conserved repeat elements distributed non-randomly in all genomes. Many studies have investigated their pattern of occurrence in order to understand their role, but their identification has largely been non-exhaustive and limited to a few related species or model organisms. Here, we identify ~685 million microsatellites from 719 eukaryotes and analyze their evolutionary trends from protists to mammals. We document novel patterns uniquely demarcating closely related species, including in pathogens like Leishmania as well as in higher organisms such as Drosophila , birds, primates, and cereal crops. The distribution of SSRs in coding and non-coding regions reveals taxon-specific variations in their exonic, intronic and intergenic densities. We also show that specific SSRs accumulate at longer lengths in higher organisms indicating an evolutionary selection pressure. In general, we observe greater constraints in the SSR composition of multicellular organisms with complex cell types, while simpler organisms show more diversity. The conserved microsatellite trends and species-specific signatures identified in this study closely mirror phylogenetic relationships and we hypothesize that SSRs are integral components in speciation and the evolution of organismal complexity. The microsatellite dataset generated in this work provides a large number of candidates for functional analysis and unparalleled scope for understanding their roles across the evolutionary landscape.

The process of aging is a hallmark of the natural life span of all organisms and individuals within a population show variability in the measures of age related performance. Longevity and the rate of aging are influenced by several factors such as genetics, nutrition, stress, and environment. Many studies have focused on the genes that impact aging and there is increasing evidence that epigenetic factors regulate these genes to control life span. Polycomb (PcG) and trithorax (trxG) protein complexes maintain the expression profiles of developmentally important genes and regulate many cellular processes. Here, we report that mutations of PcG and trxG members affect the process of aging in Drosophila melanogaster, with perturbations mostly associated with retardation in aging. We find that mutations in polycomb repressive complex (PRC1) components Pc and Su(z)2 increase fly survival. Using an inducible UAS-GAL4 system, we show that this effect is tissue-specific; knockdown in fat body, but not in muscle or brain tissues, enhances life span. We hypothesize that these two proteins influence life span via pathways independent of their PRC1 functions, with distinct effects on response to oxidative stress. Our observations highlight the role of global epigenetic regulators in determining life span.

Regenerative potential in adult stem cells is closely associated with the establishment of—and exit from—a temporary state of quiescence. Emerging evidence not only provides a rationale for the link between lineage determination programs and cell cycle regulation but also highlights the understanding of quiescence as an actively maintained cellular program, encompassing networks and mechanisms beyond mitotic inactivity or metabolic restriction. Interrogating the quiescent genome and transcriptome using deep-sequencing technologies offers an unprecedented view of the global mechanisms governing this reversibly arrested cellular state and its importance for cell identity. While many efforts have identified and isolated pure target stem cell populations from a variety of adult tissues, there is a growing appreciation that their isolation from the stem cell niche in vivo leads to activation and loss of hallmarks of quiescence. Thus, in vitro models that recapitulate the dynamic reversibly arrested stem cell state in culture and lend themselves to comparison with the activated or differentiated state are useful templates for genome-wide analysis of the quiescence network. In this chapter, we describe the methods that can be adopted for whole genome epigenomic and transcriptomic analysis of cells derived from one such established culture model where mouse myoblasts are triggered to enter or exit quiescence as homogeneous populations. The ability to synchronize myoblasts in G₀ permits insights into the genome in “deep quiescence.” The culture methods for generating large populations of quiescent myoblasts in either 2D or 3D culture formats are described in detail in a previous chapter in this series (Arora et al. Methods Mol Biol 1556:283–302, 2017). Among the attractive features of this model are that genes isolated from quiescent myoblasts in culture mark satellite cells in vivo (Sachidanandan et al., J Cell Sci 115:2701–2712, 2002) providing a validation of its approximation of the molecular state of true stem cells. Here, we provide our working protocols for ChIP-seq and RNA-seq analysis, focusing on those experimental elements that require standardization for optimal analysis of chromatin and RNA from quiescent myoblasts, and permitting useful and revealing comparisons with proliferating myoblasts or differentiated myotubes.

Comparative epigenomic analysis across multiple genes presents a bottleneck for bench biologists working with NGS data. Despite the development of standardized peak analysis algorithms, the identification of novel epigenetic patterns and their visualization across gene subsets remains a challenge. We developed a fast and interactive web app, C-State (Chromatin-State), to query and plot chromatin landscapes across multiple loci and cell types. C-State has an interactive, JavaScript-based graphical user interface and runs locally in modern web browsers that are pre-installed on all computers, thus eliminating the need for cumbersome data transfer, pre-processing and prior programming knowledge. C-State is unique in its ability to extract and analyze multi-gene epigenetic information. It allows for powerful GUI-based pattern searching and visualization. We include a case study to demonstrate its potential for identifying user-defined epigenetic trends in context of gene expression profiles.

While much of our understanding of genetic inheritance is based on the genome of the organism, it is becoming clear that there is an ample amount of epigenetic inheritance, which though reversible, escapes erasing process during gametogenesis and goes on to the next generation. Several examples of transgenerational inheritance of epigenetic features with potential impact on embryonic development and subsequent adult life have come to light. In placental mammals, the placenta is an additional route for epigenetic information flow. This information does not go through any meiotic reprogramming and is, therefore, likely to have a more profound influence on the organism. This also has the implication of providing epigenetic instructions for several months, which is clearly a maternal advantage. Although less well-known, there is also an impact of the embryo in emitting genetic information to the maternal system that remains well beyond the completion of the pregnancy. In this review, we discuss several factors in the context of the evolution of this mammal-specific phenomenon, including genomic imprinting, micromosaicism, and assisted reproduction. We also highlight how this kind of inheritance might require attention in the modern lifestyle within the larger context of the evolutionary process.