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Singh, A.

Publications and source records attributed to Singh, A..

At least 595 records · Page 33Linked to original sources

Transcription coordinates histone amounts and genome content

Biochemical reactions typically depend on the concentrations of the molecules involved, and cell survival therefore critically depends on the concentration of proteins. To maintain constant protein concentrations during cell growth, global mRNA and protein synthesis rates are tightly linked to cell volume. While such regulation is appropriate for most proteins, certain cellular structures do not scale with cell volume. The most striking example of this is the genomic DNA, which doubles during the cell cycle and increases with ploidy, but is independent of cell volume. Here, we show that the amount of histone proteins is coupled to the DNA content, even though mRNA and protein synthesis globally increase with cell volume. As a consequence, and in contrast to the global trend, histone concentrations (i.e. amounts per volume) decrease with cell volume but increase with ploidy. We find that this distinct coordination of histone homeostasis and genome content is already achieved at the transcript level, and is an intrinsic property of histone promoters that does not require direct feedback mechanisms. Mathematical modelling and histone promoter truncations reveal a simple and generalizable mechanism to control the cell volume- and ploidy-dependence of a given gene through the balance of the initiation and elongation rates.

molecular biology↗

TMS bursts can modulate local and networks oscillations during lower-limb movement in elderly subjects

IntroductionLower-limb motor functions involve processing information via both motor and cognitive control networks. Measuring oscillations is a key element in communication within and between cortical networks during high order motor functions. Increased midfrontal theta oscillations are related to improved lower-limb motor performances in patients with movement disorders. Non-invasive neuromodulation approaches have not been explored extensively to understand the oscillatory mechanism of lower-limb motor functions. This study aims to examine the effects of repetitive transcranial magnetic stimulation (rTMS) on local and network EEG oscillations in healthy elderly subjects. MethodsEleven healthy elder subjects (67-73 years) were recruited via advertisements, and underwent both active and sham stimulation procedures in a random, counterbalanced design. TMS bursts ({theta}-TMS; 4 pulses/sec) were applied over the midfrontal lead (vertex) before a GO-Cue pedaling task, and signals were analyzed using time-frequency methods. ResultsTMS bursts increase the theta activity in the local (p=0.02), as well as the associated network during the lower-limb pedaling task (p = 0.02). Furthermore, after task-related TMS burst sessions, increased resting-state alpha activity was observed in the midfrontal region (p= 0.01). ConclusionOur study suggests the ability of midfrontal TMS bursts to directly modulate local and network oscillations in a frequency manner during lower-limb motor task. TMS burst-induced modulation may provide insights into the functional roles of oscillatory activity during lower-limb movement in normal and disease conditions.

neuroscience↗

THE YKI-CACTUS(IKBα)-JNK AXIS PROMOTES TUMOR GROWTH AND PROGRESSION IN DROSOPHILA

Presence of inflammatory factors in the tumor microenvironment is well known yet their specific role in tumorigenesis is elusive. The core inflammatory pathways are conserved in Drosophila, including the Toll-Like Receptor (TLR) and the Tumor Necrosis Factor (TNF) pathway. We used Drosophila tumor models to study the role of inflammatory factors in tumorigenesis. Specifically, we co-activated oncogenic forms of RasV12 or its major effector Yorkie (Yki3SA) in polarity deficient cells mutant for tumor suppressor gene scribble (scrib) marked by GFP under nubGAL4 or in somatic clones. This system recapitulates the clonal origins of cancer, and shows neoplastic growth, invasion and lethality. We investigated if TLR and TNF pathway affect growth of Yki3SAscribRNAi or RasV12scribRNAi tumors through activation of tumor promoting Jun N-terminal Kinase (JNK) pathway and its target Matrix Metalloprotease1 (MMP1). We report, TLR component, Cactus (Cact) is highly upregulated in Yki3SAscribRNAi or RasV12scribRNAi tumors. Drosophila Cactus (mammalian IKB) acts as an inhibitor of NFKB signaling that plays key roles in inflammatory and immune response. Here we show an alternative role for Cactus, and by extension cytokine mediated signaling, in tumorigenesis. Downregulating Cact affects both tumor progression and invasion. Interestingly, downregulating TNF receptors in tumor cells did not affect their invasiveness despite reducing JNK activity. Genetic analysis suggested that Cact and JNK are key regulators of tumor progression. Overall, we show that Yki plays a critical role in tumorigenesis by controlling Cact, which in turn, mediates tumor promoting JNK oncogenic signaling in tumor cells.

cancer biology↗

Antioxidant nanozyme counteracts HIV-1 by modulating intracellular redox potential

Reactive oxygen species (ROS) regulates the proliferation of human immunodeficiency virus (HIV-1) and Mycobacterium tuberculosis (Mtb) inside the infected immune cells. However, the application of this knowledge to develop therapeutic strategies remained unsuccessful due to unfavorable consequences of manipulating cellular antioxidant systems that respond to ROS. Here, we show that vanadium pentoxide (V2O5) nanosheets functionally mimic the activity of natural glutathione peroxidase (GPX) to mitigate ROS associated with HIV-1 infection without triggering detrimental changes in cellular physiology. Using genetic reporters of glutathione (GSH) redox potential (EGSH; Grx1-roGFP2) and H2O2 (Orp1-roGFP2), we showed that V2O5-nanosheets catalyze GSH-dependent neutralization of ROS in HIV-1 infected cells. Notably, V2O5-nanosheets uniformly blocked HIV-1 reactivation, multiplication, and impaired survival of drug-resistant Mtb during HIV-TB co-infection. Mechanistically, V2O5-nanosheets suppressed HIV-1 by affecting the expression of pathways coordinating redox balance, virus transactivation (e.g., NF-{kappa}B and FOS), inflammation, and apoptosis. Importantly, a combination of V2O5-nanosheets with a pharmacological inhibitor of NF-{kappa}B (BAY11-7082) abrogated activation of HIV-1 from latency. Lastly, V2O5-nanosheets counteracted ROS, disease pathophysiology, and virus expression in HIV-1 transgenic mice. Our data successfully revealed the usefulness of V2O5-nanosheets against human pathogens and suggest nanozymes as future platforms to develop interventions against infectious diseases. Significance StatementRedox stress, such as those caused by the deregulation of the antioxidant glutathione, promotes the multiplication of human immunodeficiency virus-1 (HIV-1) and Mycobacterium tuberculosis (Mtb). Here we present a vanadium pentoxide (V2O5)-based antioxidant nanozyme that targets cells infected with HIV-1. The nanozyme, by mimicking the activity of glutathione peroxidase, reprograms redox signaling to subvert HIV-1 from monocytes, lymphocytes, and HIV-1 transgenic mice. Treatment with nanozyme bolsters the antiviral potential of immune cells by reducing the expression of genes involved in virus activation, inflammation, and apoptosis. The nanozyme also inhibited the proliferation of Mtb, which is a major cause of lethality in HIV patients. These V2O5-based nanozymes may be applied to numerous human pathogens where redox signaling contributes to disease progression.

bioengineering↗

Nitric oxide-inducible Fe-S cluster biogenesis enables Mycobacterium tuberculosis to persist in mice

The persistence of Mycobacterium tuberculosis (Mtb) is a major problem in managing tuberculosis (TB). Host-generated nitric oxide (NO) is perceived as one of the signals by Mtb to reprogram metabolism and respiration for persistence. However, the mechanisms involved in NO sensing and reorganizing Mtbs physiology are not fully understood. Since NO damages Fe-S clusters of essential enzymes, the mechanism(s) involved in regulating iron-sulfur (Fe-S) cluster biogenesis could help Mtb persist in host tissues. Here, we show that a transcription factor SufR (Rv1460) senses NO via its 4Fe-4S cluster and promotes persistence of Mtb by mobilizing the Fe-S cluster biogenesis system; suf operon (Rv1460-Rv1466). Analysis of anaerobically purified SufR by UV-visible spectroscopy, circular dichroism, and iron-sulfide estimation confirms the presence of a 4Fe-4S cluster. Atmospheric O2 and H2O2 gradually degrade the 4Fe-4S cluster of SufR. Furthermore, electron paramagnetic resonance (EPR) analysis demonstrates that NO directly targets SufR 4Fe-4S cluster by forming a protein-bound dinitrosyl-iron-dithiol complex. DNase I footprinting, gel-shift, and in vitro transcription assays confirm that SufR directly regulates the expression of the suf operon in response to NO. Consistent with this, RNA- sequencing of Mtb{Delta}sufR demonstrates deregulation of the suf operon under NO stress. Strikingly, NO inflicted irreversible damage upon Fe-S clusters to exhaust respiratory and redox buffering capacity of Mtb {Delta}sufR. Lastly, Mtb{Delta} sufR failed to recover from a NO-induced non-growing state and displayed persistence defect inside immune-activated macrophages and murine lungs in a NO-dependent manner. Data suggest that SufR is a sensor of NO that supports persistence by reprogramming Fe-S cluster metabolism and bioenergetics. HighlightsO_LIMycobacterium tuberculosis (Mtb) induces the expression of suf operon for Fe-S cluster biogenesis in response to nitric oxide (NO). C_LIO_LIWe found that a transcription factor SufR senses NO via its 4Fe-4S cluster and regulates the expression of the suf operon for Fe-S cluster biogenesis. C_LIO_LISufR-regulated Fe-S cluster biogenesis confers respiratory and redox features that promote recovery of Mtb from NO stress. C_LIO_LISufR activity is required to support the NO-dependent persistence of Mtb in macrophages and mice. C_LI

microbiology↗

High throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq next generation sequencing

The rapid emergence of coronavirus disease 2019 (COVID-19) as a global pandemic affecting millions of individuals globally has necessitated sensitive and high-throughput approaches for the diagnosis, surveillance and for determining the genetic epidemiology of SARS-CoV-2. In the present study, we used the COVIDSeq protocol, which involves multiplex-PCR, barcoding and sequencing of samples for high-throughput detection and deciphering the genetic epidemiology of SARS-CoV-2. We used the approach on 752 clinical samples in duplicates, amounting to a total of 1536 samples which could be sequenced on a single S4 sequencing flow cell on NovaSeq 6000. Our analysis suggests a high concordance between technical duplicates and a high concordance of detection of SARS-CoV-2 between the COVIDSeq as well as RT-PCR approaches. An in-depth analysis revealed a total of six samples in which COVIDSeq detected SARS-CoV-2 in high confidence which were negative in RT-PCR. Additionally, the assay could detect SARS-CoV-2 in 21 samples and 16 samples which were classified inconclusive and pan-sarbeco positive respectively suggesting that COVIDSeq could be used as a confirmatory test. The sequencing approach also enabled insights into the evolution and genetic epidemiology of the SARS-CoV-2 samples. The samples were classified into a total of 3 clades. This study reports two lineages B.1.112 and B.1.99 for the first time in India. This study also revealed 1,143 unique single nucleotide variants and added a total of 73 novel variants identified for the first time. To the best of our knowledge, this is the first report of the COVIDSeq approach for detection and genetic epidemiology of SARS-CoV-2. Our analysis suggests that COVIDSeq could be a potential high sensitivity assay for detection of SARS-CoV-2, with an additional advantage of enabling genetic epidemiology of SARS-CoV-2.

genomics↗

New insights of zoogeographical distribution of Himalayan goral (Naemorhedus goral) from Indian Himalayan Region

In the present study, we explored the intraspecific genetic variation and phylogeographic relationship among all the reported species in the genus Naemorhedus distributed in a wide range of habitats. The Bayesian based phylogeny demonstrated that Himalayan goral, is a highly diverged species from the other reported species of gorals. We claim the presence of two valid sub-species of Himalayan goral, i.e. N. g. bedfordi and N. g. goral, distributed in the western and central Himalaya, respectively. The comparative analysis with the inclusion of data available from different ranges, suggests the presence of plausibly six species of gorals across the distribution with a few valid subspecies. Further, we report that N. griseus is a valid species and not the synonyms of N. goral considering the observed discrepancy in the available sequences. We recommend all the sub-species present at distant locations may be considered as Evolutionary Significant Units (ESUs) and, therefore, appeal to provide them special attention for long term conservation and management.

genetics↗

Incorporation of DNA methylation into eQTL mapping in African Americans.

Epigenetics is a reversible molecular mechanism that plays a critical role in many developmental, adaptive, and disease processes. DNA methylation has been shown to regulate gene expression and the advent of high throughput technologies has made genome-wide DNA methylation analysis possible. We investigated the effect of DNA methylation in eQTL mapping (methylation-adjusted eQTLs), by incorporating DNA methylation as a SNP-based covariate in eQTL mapping in African American derived hepatocytes. We found that the addition of DNA methylation uncovered new eQTLs and eGenes. Previously discovered eQTLs were significantly altered by the addition of DNA methylation data suggesting that methylation may modulate the association of SNPs to gene expression. We found that methylation-adjusted eQTLs which were less significant compared to PC-adjusted eQTLs were enriched in lipoprotein measurements (FDR = 0.0040), immune system disorders (FDR = 0.0042), and liver enzyme measurements (FDR = 0.047), suggesting a role of DNA methylation in regulating the genetic basis of these phenotypes. Our methylation-adjusted eQTL analysis also uncovered novel SNP-gene pairs. For example, our study found the SNP, rs11546996, was associated to PNKP. In a previous GWAS, this SNP was associated with primary biliary cirrhosis although the causal gene was thought to be SPIB. Our methylation-adjusted method potentially adds new understanding to the genetic basis of complex diseases that disproportionally affect African Americans.

genomics↗

Central and peripheral GLP-1 systems independently and additively suppress eating

The anorexigenic peptide glucagon-like peptide-1 (GLP-1) is secreted from gut enteroendocrine cells and brain preproglucagon (PPG) neurons, which respectively define the peripheral and central GLP-1 systems. As peripheral satiation signals are integrated in the nucleus tractus solitarius (NTS), PPGNTS neurons are assumed to link the peripheral and central GLP-1 systems, forming a unified GLP-1 gut-brain satiation circuit. This hypothesis, however, remains unsubstantiated. We report that PPGNTS neurons encode satiation in mice, consistent with vagal gastrointestinal distension signalling. However, PPGNTS neurons predominantly receive vagal input from oxytocin receptor-expressing vagal neurons, rather than those expressing GLP-1 receptors. Furthermore, PPGNTS neurons are not necessary for eating suppression induced by the GLP-1 receptor agonists liraglutide or semaglutide, and semaglutide and PPGNTS neuron activation additively suppress eating. Central and peripheral GLP-1 systems thus suppress eating via independent gut-brain circuits, hence PPGNTS neurons represent a rational pharmacological target for anti-obesity combination therapy with GLP-1 receptor agonists. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/234427v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1c7643aorg.highwire.dtl.DTLVardef@18520daorg.highwire.dtl.DTLVardef@12fc8fdorg.highwire.dtl.DTLVardef@34809b_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract: C_FIG

neuroscience↗

Chronic exposure to IL6 leads to deregulation of glycolysis and fat accumulation in the zebrafish liver

BACKGROUND AND AIMS Inflammation is a constant in Non-Alcoholic Fatty Liver Disease (NAFLD) and is usually considered a consequence. We propose that inflammation can be a cause for NAFLD. Obesity is strongly associated with (NAFLD), but not always. NAFLD in lean individuals is more common in certain populations, especially Asian-Indians. Lean healthy Indians also have a higher basal circulating IL6 suggesting a link with inflammation. We propose that inflammation-induced fatty liver could be relevant for studying obesity-independent NAFLD. Commonly used high-fat diet-induced NAFLD animal models are not ideal for testing this hypothesis.APPROACH AND RESULTS In this study we used a transgenic zebrafish with chronic systemic overexpression of human IL6 (IL6-OE) and found accumulation of triglyceride in the liver. We performed comparative transcriptomics and proteomics on the IL6-OE liver and found an expression signature distinct from the diet-based NAFLD models. We discovered a deregulation of glycolysis/gluconeogenesis pathway, especially a robust down regulation of the glycolytic enzyme aldolase b in the IL6-OE liver. Metabolomics of the IL6-OE liver showed accumulation of hexose monophosphates and their derivatives, which can act as precursors for triglyceride synthesis. Patients with the genetic disease Hereditary Fructose Intolerance (HFI) caused by ALDOLASE B deficiency also have a higher propensity to develop fatty liver disease.CONCLUSIONS Our study demonstrates a causative role for inflammation in intrahepatic lipid accumulation. Further, our results suggest that IL6-driven repression of glycolysis/gluconeogenesis, specifically aldolase b, may be a novel mechanism for development of fatty liver, especially in obesity-independent NAFLD.Competing Interest StatementThe authors have declared no competing interest.List of AbbreviationsNAFLDNon-Alcoholic Fatty Liver DiseaseIL6Interleukin 6OEOverexpressionHFIHigh Fructose IntoleranceNASHNon-Alcoholic SteatohepatitisSLESystemic Lupus ErythematosusIBDInflammatory Bowel DiseaseRARheumatoid ArthritisHFDHigh Fat dietqRT-PCRQuantitative Real-Time Polymerase Chain ReactionPPARPeroxisome Proliferator-Activated ReceptorDHAPDihydroxyacetone PhosphateView Full Text

molecular biology↗

ANTAGONISTIC ROLES FOR ATAXIN-2 STRUCTURED AND DISORDEREDDOMAINS IN RNP CONDENSATION

Ataxin-2 is a conserved translational control protein associated with spinocerebellar ataxia type II (SCA2) and amyotrophic lateral sclerosis (ALS) as well as an important target for ALS therapeutics under development. Despite its clinical and biological significance, Ataxin-2s activities, mechanisms and functions are not well understood. While Drosophila Ataxin-2 (Atx2) mediates mRNP condensation via a C-terminal intrinsically disordered domain (cIDR), how Ataxin-2 IDRs work with structured (Lsm, Lsm-AD and PAM2) domains to enable positive and negative regulation of target mRNAs remains unclear. Using TRIBE (Targets of RNA-Binding Proteins Identified by Editing) technology, we identified and analysed Atx-2 target mRNAs in the Drosophila brain. We show that Atx2 preferentially interacts with AU-rich elements (AREs) in 3UTRs and plays a broad role in stabilization of identified target mRNAs. Strikingly, Atx2 interaction with its targets is dependent on the cIDR domain required for neuronal-granule formation. In contrast, Atx2 lacking its Lsm domain not only interacts more efficiently with the target mRNA identified, but also forms larger RNP granules. Providing an extensive dataset of Atx2-interacting brain mRNAs, our results demonstrate that Atx2: (a) interacts with target mRNAs within RNP granules; (b) modulates the turnover of these target mRNAs; (c) has an additional essential role outside of mRNP granules; and (d) contains distinct protein domains that drive or oppose RNP-granule assembly. These findings increase understanding of neuronal translational control mechanisms and inform Ataxin-2-based interventions in development for SCA2 and ALS.

neuroscience↗

Selective Nanotherapeutic Targeting of the Neutrophil Subset Mediating Inflammatory Injury

Inflammatory tissue injury such as acute lung injury (ALI) is a disorder that leads to respiratory failure, a major cause of morbidity and mortality worldwide. Excessive neutrophil influx is a critical pathogenic factor in the development of ALI. Here, we identify the subset of neutrophils that is responsible for ALI and lethality in polymicrobial sepsis. The pro-inflammatory neutrophil subpopulation was characterized by its unique ability to endocytose albumin nanoparticles (ANP), upregulation of pro-inflammatory cytokines and chemokines as well as the excessive production of reactive oxygen species (ROS) in models of endotoxemia and septicemia. ANP delivery of the drug piceatannol, a spleen tyrosine kinase (Syk) inhibitor, to the susceptible subset of neutrophils, prevented ALI and mortality in mice subjected to polymicrobial infection. Targeted inhibition of Syk in ANP-susceptible neutrophils had no detrimental effect on neutrophil-dependent host defense because the subset of ANPlow neutrophils effectively controlled polymicrobial infection. The results show that neutrophil heterogeneity can be leveraged therapeutically to prevent ALI without compromising host defense.Competing Interest StatementABM, AS, KB have interests in the biotechnology company Nano Biotherapeutics Inc.View Full Text

immunology↗

A transient heritable memory regulates HIV reactivation from latency

Reactivation of human immunodeficiency virus 1 (HIV-1) from latently infected T cells is a critical barrier to successfully eradicate HIV-1 from patients. Latency models in Jurkat T-cells reveal that individual cells reactivate in an all-or-none fashion when exposed to latency reversal agents (LRAs). Remarkably, this heterogeneity arises within a clonal cell population of genetically identical cells containing a single copy of the provirus integrated at the same genomic site. To characterize these single-cell responses, we leverage the classical Luria-Delbrück fluctuation test where single cells are isolated from a clonal population, and exposed to LRAs after a period of colony expansion. If cellular responses are purely random, then the fraction of reactivating cells should have minimal colony-to-colony fluctuations given the large number of cells present after weeks of colony growth. In contrast, data shows considerable colony-to-colony fluctuations with the fraction of reactivating cells following a skewed distribution. Systematic measurements of fluctuations over time in combination with mathematical modeling uncovers the existence of a heritable memory that regulates HIV-1 reactivation, where single cells are in a LRA-responsive state for a few weeks before switching back to an irresponsive state. These results have enormous implications for designing therapies to purge the latent reservoir and illustrate the utility of fluctuation-based assays to uncover hidden transient cellular states underlying phenotypic heterogeneity.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cell biology↗

Regional expression profiles of risk genes for depression are associated with brain activation patterns in emotion and reward tasks

The spatial relationship between gene expression profiles and neural response patterns known to be altered in neuropsychiatric disorders, e.g. depression, can guide the development of more targeted therapies. Here, we estimated the correlation between human transcriptome data and two different brain activation maps measured with functional magnetic resonance imaging (fMRI) in healthy subjects. Whole-brain activation patterns evoked during an emotional face recognition task were associated with topological mRNA expression of genes involved in cellular transport. In contrast, fMRI activation patterns related to the acceptance of monetary rewards were associated with genes implicated in neuronal development, synapse regulation, and gene transcription. An overlap of these genes with risk genes from major depressive disorder genome-wide associations studies revealed the involvement of the master regulators TCF4 and MEF2C. These results were further validated by means of meta-analytic fMRI data. Overall, the identification of stable relationships between spatial gene expression profiles and fMRI data may reshape the prospects for imaging transcriptomics studies.

neuroscience↗

Estimating leopard (Panthera pardus) densities when populations comprise polymorphic phenotypes: an application of spatial mark-resight models

Melanism is a form of pigmentation polymorphism where individuals have darker colouration than what is considered the "wild" phenotype. In the case of leopards, Panthera pardus, melanism occurs at higher frequencies amongst populations in tropical and subtropical moist forests of south and southeast Asia, presenting a unique challenge in estimating and monitoring these populations. Unlike the wild phenotype that is readily recognizable by its rosette patterns, melanism results in individuals being unidentifiable or unmarked through photographic captures obtained using white flash cameras. Spatial mark-resight (SMR) models that require only a subset of the population to be marked offer the opportunity to estimate population density. In this study, we present an application of SMR models to estimate leopard densities using camera trap survey data from three sampling years at Manas National Park (MNP), India. By using an SMR model that allowed us to include captures of unidentified sightings of marked individuals, we were also able to incorporate captures where identity was either not confirmed or only known from a single flank. Following 18,674 trap-days of sampling across three years, we obtained 728 leopard photo-captures, of which 22.6% (165) were melanistic. We estimated leopard densities of 4.33, 2.61 and 3.37 individuals/100km2 across the three years. To our best knowledge, these represent the first known estimates of leopard densities from populations comprising both melanistic and wild phenotypes. Finally, we highlight that SMR models present an opportunity to revisit past camera trap survey data for leopards and other species such as Jaguars, P. onca, that exhibit phenotypic polymorphism towards generating valuable information on populations.

ecology↗

Understanding pigeon pea (Cajanus cajan) production conditions, stakeholders preferences for varietal traits and their implications for breeding programmes in India

Pigeon pea (Cajanus cajan) is an important pulse crop in the Indian diet and one of the most important sources of dietary protein for the population. In the context of the fourth phase of the Indo-Swiss Collaboration in Biotechnology, an assessment how farmers and consumers perceive new pigeon pea cultivars and what are their preferred traits was conducted. This investigation assessed Indias food security implications due to stagnating and low yield of pigeon pea and ascertain farmers preferences of pigeon pea varietal traits, production constraints and farmers coping strategies in diverse pigeon pea production environments. Results indicated that production constraints in the studied regions were basically similar, with majority of the farmers identifying pod borer & pod fly as the major pest, and wilt as the major disease and drought as a major production constraint. Farmers indicated the use of clean seed, high yielding varieties, inter & mixed cropping, planting density, and manure application as some of the strategies they used to cope with the production constraints. In terms of preference for new cultivars, farmers want high grain yield with drought tolerance, medium to early maturity, pod borer resistance, tolerance to wilt disease, moderate plant height and ease of threshing without compromising other preferred attributes. The analysis of processors preference of grain types for dal processing showed that uniform size, oval shape, orange coloured seed and most importantly moderately hard seed coat are highly desirable. Consumers lacked awareness on the varieties, but considered traits like uniform seeds and reduced cooking time traits more desirable.

ecology↗

Integrating remote sensing and jurisdictional observation networks to improve the resolution of ecological management

The emergence of citizen science, passive sensors (e.g., trail cameras and acoustic monitoring), and satellite remote sensing have enabled biological data to be collected at unprecedented spatial and temporal scales. There is growing interest in networking these datastreams to expedite the collection and synthesis of environmental and biological data to improve broad-scale ecological monitoring, but there are no examples of such networks being developed to directly inform decision-making by managing agencies. Here, we present the implementation of one such jurisdictional observation network (JON), Snapshot Wisconsin (SW), that links satellite remote sensing (RS) with a volunteer-based trail camera network to generate new insights into wildlife distributions and improve their management by the state agency. SW relies on citizen scientists to deploy trail cameras across the state and classify images of wildlife. As of early 2020 SW comprises nearly 1800 volunteers hosting >2100 active cameras recording >37 million images across a sampling effort of >2000 combined trap-years at >3300 distinct camera locations. We use a set of case studies to demonstrate the potential power of a JON to monitor wildlife with unprecedented combinations of spatial, temporal, and biological resolution and extent. Specifically, we demonstrate that SW markedly improves the spatial and temporal resolution with which black bear distributions can be monitored or forecast, in turn improving the resolution of decision-making. Enhancing the biological resolution of monitoring (e.g., monitoring the distribution of species traits or behaviors) may provide new insights into population drivers, such as the connection between vegetation productivity and white-tailed deer foraging behaviors. Enhanced taxonomic extent provided by trail cameras and other passive sensor networks provide managers new information for a wide range of species and communities that are not otherwise monitored. Our cases further show that JONs synergize existing monitoring practices by serving as a complementary and independent line of evidence or as a tool to enhance the extent and precision of existing models through integrated modeling approaches. SW and other JONS are a powerful new tool for agencies to better achieve their missions and reshape the nature of environmental decision-making.

ecology↗

Xrn1 influences RNA pol II-dependent transcription elongation rates across the yeast genome and this control is particularly relevant for late elongation of regulatory genes

mRNA homeostasis is favored by crosstalk between transcription and degradation machineries. Both the Ccr4-Not and the Xrn1-decaysome complexes have been described to influence transcription. While Ccr4-Not has been shown to directly stimulate transcription elongation, the information available on how Xrn1 influences transcription is scarce and contradictory. In this study we have addressed this issue by mapping RNA polymerase II (RNA pol II) at high resolution, using CRAC and BioGRO-seq techniques in Saccharomyces cerevisiae. We found significant effects of Xrn1 perturbation on RNA pol II profiles across the genome. RNA pol II profiles at 5 exhibited significant alterations that were compatible with decreased elongation rates in the absence of Xrn1. Nucleosome mapping detected altered chromatin configuration in the gene bodies. We also detected accumulation of RNA pol II shortly upstream of polyadenylation sites by CRAC, although not by BioGRO-seq, suggesting higher frequency of backtracking before pre-mRNA cleavage. This phenomenon was particularly linked to genes with poorly positioned nucleosomes at this position. Accumulation of RNA pol II at 3 was also detected in other mRNA decay mutants. According to these and other pieces of evidence, Xrn1 seems to influence transcription elongation at least in two ways: by directly favoring elongation rates and by a more general mechanism that connects mRNA decay to late elongation.

genomics↗