Biology subjects

Sharma, D.

Publications and source records attributed to Sharma, D..

71 records · Page 4Linked to original sources

bioRxiv2021

Structural and functional characterization of Rv0792c from Mycobacterium tuberculosis: identifying small molecule inhibitors against GntR protein.

In order to adapt in host tissues, microbial pathogens regulate their gene expression through an array of transcription factors. Here, we have functionally characterized Rv0792c, a GntR homolog from M. tuberculosis. In comparison to the parental strain, {Delta}Rv0792c mutant strain of M. tuberculosis was compromised for survival upon exposure to oxidative stress, cell wall agents and infection in guinea pigs. RNA-seq analysis revealed that Rv0792c regulates the expression of genes that are involved in stress adaptation and virulence of M. tuberculosis. Solution small angle X-ray scattering (SAXS) data steered model building confirmed that the C-terminal region plays a pivotal role in dimer formation. Systematic evolution of ligands by exponential enrichment resulted in identification of ssDNA aptamers that can be used as a tool to identify small molecule inhibitors targeting Rv0792c. Using SELEX and SAXS data based modelling, we identified residues essential for the DNA binding activity of Rv0792c and I-OMe-Tyrphostin as an inhibitor of Rv0792c aptamer binding activity. Taken together, we provide a detailed shape-function characterization of GntR family of transcription factors from M. tuberculosis. To the best of our knowledge, this is the first study that has resulted in the identification of small molecule inhibitors against GntR family of transcription factors from bacterial pathogens.

microbiology↗

bioRxiv2021

SLC1A5 provides glutamine and asparagine necessary for bone development in mice

Osteoblast differentiation is sequentially characterized by high rates of proliferation followed by increased protein and matrix synthesis, processes that require substantial amino acid acquisition and production. How osteoblasts obtain or maintain intracellular amino acid production is poorly understood. Here we identify Slc1a5 as a critical amino acid transporter during bone development. Using a genetic and metabolomic approach, we show Slc1a5 acts cell autonomously in osteoblasts to import glutamine and asparagine. Deleting Slc1a5 or reducing either glutamine or asparagine availability prevents protein synthesis and osteoblast differentiation. Mechanistically, glutamine and asparagine metabolism support amino acid biosynthesis. Thus, osteoblasts depend on Slc1a5 to provide glutamine and asparagine, which are subsequently used to produce non-essential amino acids and support osteoblast differentiation and bone development.

developmental biology↗

bioRxiv2021

Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum

India confines more than 17% of the worlds population and has a diverse genetic makeup with several clinically relevant rare mutations belonging to many sub-group which are undervalued in global sequencing datasets like the 1000 Genome data (1KG) containing limited samples for Indian ethnicity. Such databases are critical for the pharmaceutical and drug development industry where the diversity plays a crucial role in identifying genetic disposition towards adverse drug reactions. A qualitative and comparative sequence and structural study utilizing variant information present in the recently published, largest curated Indian genome database (IndiGen) and the 1000 Genome data was performed for variants belonging to the kinase coding genes,the second most targeted group of drug targets. The sequence level analysis identified similarities and differences among different populations based on the nsSNVs and amino acid exchange frequencies whereas comparative structural analysis of IndiGen variants was performed with pathogenic variants reported in UniProtKB Humsavar data. The influence of these variations on structural features of the protein, such as structural stability, solvent accessibility, hydrophobicity, and the hydrogen-bond network were investigated. In-silico screening of the known drugs to these Indian variation-containing proteins reveal critical differences imparted in the strength of binding due to the variations present in the Indian population. In conclusion, this study constitutes a comprehensive investigation into the understanding of common variations present in the second largest population in the world, and investigating its implications in the sequence, structural and pharmacogenomic landscape. The preliminary investigation reported in this paper, supporting the screening and detection of ADRs specific to the Indian population could aid in the development of techniques for pre-clinical and post-market screening of drug-related adverse events in the Indian population.

genomics↗

bioRxiv2021

Hypertrophic Chondrocytes Serve as a Reservoir for Unique Marrow Associated Skeletal Stem and Progenitor Cells, Osteoblasts, and Adipocytes During Skeletal Development

Hypertrophic chondrocytes give rise to osteoblasts during skeletal development; however, the process by which these non-mitotic cells make this transition is not well understood. Prior studies have also suggested that skeletal stem and progenitor cells (SSPCs) localize to the surrounding periosteum and serve as a major source of marrow associated SSPCs, osteoblasts, osteocytes, and adipocytes during skeletal development. To further understand the cell transition process by which hypertrophic chondrocytes contribute to osteoblasts or other marrow associated cells, we utilized inducible and constitutive hypertrophic chondrocyte lineage tracing and reporter mouse models (Col10a1CreERT2; R26-tdTomatof/+ and Col10a1Cre; R26-tdTomatof/+) in combination with a PDGFRa-H2B-GFP transgenic line, single cell RNA-sequencing, bulk RNA-sequencing, immunofluorescence staining, and cell transplantation assays. Our data demonstrate that hypertrophic chondrocytes undergo a process of dedifferentiation to generate marrow associated SSPCs that serve as a primary source of osteoblasts during skeletal development. These hypertrophic chondrocyte derived SSPCs commit to a CXCL12-abundant reticular (CAR) cell phenotype during skeletal development and demonstrate unique abilities to recruit vasculature and promote bone marrow establishment, while also contributing to the adipogenic lineage.

developmental biology↗

bioRxiv2021

A genome-wide circular RNA transcriptome in Rat

BackgroundCircular RNAs are a novel class of non-coding RNAs that backsplice from 5 donor site and 3 acceptor site to form a circular structure. A number of circRNAs have been discovered in model organisms including human, mouse, Drosophila, among other organisms. There are a few candidate-based studies on circular RNAs in rat, a well studied model organism. The availability of a recent dataset of transcriptomes encompassing 11 tissues, 4 developmental stages and 2 genders motivated us to explore the landscape of circular RNAs in the organism. MethodologyIn order to understand the difference among different pipelines, we have used the same bodymap RNA sequencing dataset. A number of pipelines have been published to identify the backsplice junctions for the discovery of circRNAs but studies comparing these tools have suggested that a combination of tools would be a better approach to identify high-confidence circular RNAs. We employed 5 different combinations of tools including tophat_CIRCexplorer2, segemehl_CIRCexplorer2, star_CIRCexplorer, Bowtie2_findcirc and Bowtie2_findcirc (noHisat2) to identify circular RNAs from the dataset. ResultsOur analysis identified a number of tissue-specific, developmental stage specific and gender specific circular RNAs. We further independently validated 16 circRNA junctions out of 24 selected candidates in 5 tissue samples. We additionally estimated the quantitative expression of 5 circRNA candidates using real-time PCR and our analysis suggests 3 candidates as tissue-enriched ConclusionThis study is one of the most comprehensive studies that provides a circular RNA transcriptome as well as to understand the difference among different computational pipelines in Rat.

molecular biology↗

bioRxiv2021

A new method for determining ribosomal DNA copy number shows differences between Saccharomyces cerevisiae populations

Ribosomal DNA genes (rDNA) encode the major ribosomal RNAs (rRNA) and in eukaryotic genomes are typically present as one or more arrays of tandem repeats. Species have characteristic rDNA copy numbers, ranging from tens to thousands of copies, with the number thought to be redundant for rRNA production. However, the tandem rDNA repeats are prone to recombination-mediated changes in copy number, resulting in substantial intra-species copy number variation. There is growing evidence that these copy number differences can have phenotypic consequences. However, we lack a comprehensive understanding of what determines rDNA copy number, how it evolves, and what the consequences are, in part because of difficulties in quantifying copy number. Here, we developed a genomic sequence read approach that estimates rDNA copy number from the modal coverage of the rDNA and whole genome to help overcome limitations in quantifying copy number with existing mean coverage-based approaches. We validated our method using strains of the yeast Saccharomyces cerevisiae with previously-determined rDNA copy numbers, and then applied our pipeline to investigate rDNA copy number in a global sample of 788 yeast isolates. We found that wild yeast have a mean copy number of 92, consistent with what is reported for other fungi but much lower than in laboratory strains. We also show that different populations have different rDNA copy numbers. These differences can partially be explained by phylogeny, but other factors such as environment are also likely to contribute to population differences in copy number. Our results demonstrate the utility of the modal coverage method, and highlight the high level of rDNA copy number variation within and between populations. Author summaryThe ribosomal RNA gene repeats (rDNA) form large tandem repeat arrays in most eukaryote genomes. Their tandem arrangement makes the rDNA prone to copy number variation, and there is increasing evidence that this copy number variation has phenotypic consequences. However, difficulties in measuring rDNA copy number hamper investigation into rDNA copy number dynamics and their significance. Here we developed a novel bioinformatics method for measuring rDNA copy number from whole genome sequence data that is based on the modal sequence read coverage. We established parameters for optimal performance of the method and validated it using yeast strains of known rDNA copy numbers. We then applied the method to a dataset of almost 800 global yeast isolates and demonstrate that yeast populations have different rDNA copy numbers that partially correlate with phylogeny. Our work provides a simple and accurate method for determining rDNA copy number that leverages the growing number of whole genome datasets, and highlights the dynamic nature of rDNA copy number.

genomics↗

bioRxiv2021

Insights from Genomes and Genetic Epidemiology of SARS-CoV-2 isolates from the state of Andhra Pradesh

Coronavirus disease (COVID-19) emerged from a city in China and has now spread as a global pandemic affecting millions of individuals. The causative agent, SARS-CoV-2 is being extensively studied in terms of its genetic epidemiology using genomic approaches. Andhra Pradesh is one of the major states of India with the third-largest number of COVID-19 cases with limited understanding of its genetic epidemiology. In this study, we have sequenced 293 SARS-CoV-2 genome isolates from Andhra Pradesh with a mean coverage of 13,324X. We identified 564 high-quality SARS-CoV-2 variants, out of which 15 are novel. A total of 18 variants mapped to RT-PCR primer/probe sites, and 4 variants are known to be associated with an increase in infectivity. Phylogenetic analysis of the genomes revealed the circulating SARS-CoV-2 in Andhra Pradesh majorly clustered under the clade A2a (94%), while 6% fall under the I/A3i clade, a clade previously defined to be present in large numbers in India. To the best of our knowledge, this is the most comprehensive genetic epidemiological analysis performed for the state of Andhra Pradesh.

genomics↗

bioRxiv2021

Moving patronin foci and growing microtubule plus ends direct the spatiotemporal dynamics of Rho signaling and myosin during apical constriction

The contraction of the amnioserosa by apical constriction provides the major force for Drosophila dorsal closure. The nucleation, movement and dispersal of apicomedial actomyosin complexes generate pulsed constrictions during early dorsal closure whereas persistent apicomedial and circumapical actomyosin complexes drive the unpulsed constrictions that follow. What governs the spatiotemporal assembly of these distinct complexes, endows them with their pulsatile dynamics, and directs their motility remains unresolved. Here we identify an essential role for microtubule growth in regulating the timely contraction of the amnioserosa. We show that a symmetric cage of apical microtubules forms around the coalescing apicomedial myosin complex. An asymmetric tail of microtubules then trails the moving myosin complex and disperses as the myosin complex dissolves. Perturbing microtubule growth reduced the coalescence and movement of apicomedial myosin complexes and redistributed myosin and its activator, Rho kinase to the circumapical pool and altered the cell constriction and tissue contraction dynamics of the amnioserosa. We show that RhoGEF2, the activator of the Rho1 GTPase, is transiently associated with microtubule plus end binding protein EB1 and the apicomedial actomyosin complex. Our results suggest that microtubule growth from moving patronin platforms modulates actomyosin contractility through the spatiotemporal regulation of Rho1 activity. We propose that microtubule reorganisation enables a self-organising, mechanosensitive feedback loop that buffers the tissue against mechanical stresses by modulating actomyosin contractility.

cell biology↗

bioRxiv2020

Epigenetic regulation of epithelial dectin-1 through an IL-33-STAT3 axis in allergic disease

Allergic diseases arise in susceptible individuals in part because of decrements in protective pathways. The mechanism by which these anti-inflammatory molecules become repressed remains unclear. We have previously reported that epithelial dectin-1 prevents aberrant type 2 responses and is downregulated in the epithelium of allergic patients. Here we report that dectin-1 is constitutively expressed by the respiratory epithelium in humans, and that IL-33 specifically acts as a repressor of dectin-1. Mechanistically, this occurs via IL-33-dependent STAT3 activation and the subsequent repression of the dectin-1 gene, CLEC7A. We have identified a novel enhancer region upstream of the proximal promoter of CLEC7A that is only accessible in epithelial cells, but not in hematopoietic cells. Epigenetic repression of CLEC7A through this newly identified locus, downstream of an aberrant IL-33-STAT3 axis, occurs in the epithelium of allergic individuals. Collectively, our data identify a mechanism of epigenetic fine-tuning of dectin-1 expression in epithelial cells that may participate in allergenicity.

immunology↗

bioRxiv2020

Initial insights into the genetic epidemiology of SARS-CoV-2 isolates from Kerala suggest local spread from limited introductions

Coronavirus disease 2019 (COVID-19) rapidly spread from a city in China to almost every country in the world, affecting millions of individuals. Genomic approaches have been extensively used to understand the evolution and epidemiology of SARS-CoV-2 across the world. Kerala is a unique state in India well connected with the rest of the world through a large number of expatriates, trade, and tourism. The first case of COVID-19 in India was reported in Kerala in January 2020, during the initial days of the pandemic. The rapid increase in the COVID-19 cases in the state of Kerala has necessitated the understanding of the genetic epidemiology of circulating virus, evolution, and mutations in SARS-CoV-2. We sequenced a total of 200 samples from patients at a tertiary hospital in Kerala using COVIDSeq protocol at a mean coverage of 7,755X. The analysis identified 166 unique high-quality variants encompassing 4 novel variants and 89 new variants identified for the first time in SARS-CoV-2 samples isolated from India. Phylogenetic and haplotype analysis revealed that the circulating population of the virus was dominated (94.6% of genomes) by three distinct introductions followed by local spread, apart from identifying polytomies suggesting recent outbreaks. The genomes formed a monophyletic distribution exclusively mapping to the A2a clade. Further analysis of the functional variants revealed two variants in the S gene of the virus reportedly associated with increased infectivity and 5 variants that mapped to five primer/probe binding sites that could potentially compromise the efficacy of RT-PCR detection. To the best of our knowledge, this is the first and most comprehensive report of genetic epidemiology and evolution of SARS-CoV-2 isolates from Kerala.

genomics↗

bioRxiv2020

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↗

bioRxiv2020

IL-4 receptor targeting as an effective immunotherapy against triple-negative breast cancer

In many solid tumors including triple-negative breast cancer (TNBC), IL-4 receptor (IL-4R) upregulation has been shown to promote cancer cell proliferation, apoptotic resistance, metastatic potential and a Th2 response in the tumor microenvironment (TME). Immunosuppressive cells in the TME including myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) also express the IL4-R. We hypothesized that selective depletion of IL4-R bearing cells in TNBC may have dual cytotoxic and immunotherapeutic benefit. To selectively target IL-4R+ cells, we genetically constructed, expressed and purified DABIL-4, a fusion protein toxin consisting of the catalytic and translocation domains of diphtheria toxin fused to murine IL-4. We found that DABIL-4 has potent and specific cytotoxic activity against TNBC cells in vitro. In murine TNBC models, DABIL-4 significantly reduced tumor growth, splenomegaly and lung metastases, and this was associated with reductions in MDSC, TAM and regulatory T-cells (Tregs) populations with a concomitant increase in the proportion of IFN{gamma}+ CD8 T-cells. The anti-tumor activity of DABIL-4 was absent in IL-4R KO mice directly implicating IL-4R directed killing as the mechanism of anti-tumor activity. Moreover, NanoString analysis of DABIL-4 treated TNBC tumors revealed marked decline in mRNA transcripts that promote tumorigenesis and metastasis. Our findings demonstrate that DABIL-4 is a potent targeted antitumor agent which depletes both IL-4R bearing tumor cells as well as immunosuppressive cell populations in the TME. STATEMENT OF SIGNIFICANCEIn solid tumors like breast cancer, Interleukin-4 receptor (IL-4R) expression in the tumor microenvironment aids tumor growth and metastasis. IL-4R expression upon host immune cells further dampens antitumor immunity. In this study, we have genetically constructed a fusion protein toxin, DABIL-4, composed of the catalytic and translocation domains of diphtheria toxin and murine IL-4. DABIL-4 showed specific cytotoxicity against triple-negative breast cancer (TNBC) cells in vitro. DABIL-4 also markedly inhibited TNBC tumor growth and metastasis in vivo. The primary activity of DABIL-4 was found to be depletion of IL-4R+ immune cells in combination with direct elimination of tumor cells. In conclusion, DABIL-4 targeting of both tumor and immunosuppressive host cells is a versatile and effective treatment strategy for TNBC.

immunology↗

bioRxiv2020

Validating gene-phenotype associations using relationships in the UMLS

ObjectiveLarge scale next-generation sequencing of population cohorts paired with patients electronic health records (EHR) provides an excellent resource for the study of gene-disease associations. To validate those associations, researchers often consult databases that identify relationships between genes of interest and relevant disease phenotypes, which we refer to as simply "phenotypes". However, most of these databases contain phenotypes that are not suited for automated analysis of EHR data, which often captured these phenotypes in the form of International Classification of Diseases (ICD) codes. There is a need for a resource that comprehensively provides gene-phenotype mappings in a format that can be used to evaluate phenotypes from EHR. MethodsWe built a directed graph database of genes, medical concepts and ICD codes based on a subset of the National Library of Medicines Unified Medical Language System (UMLS) and other resources. To obtain associations between genes and ICD codes, we traversed the defined relationships from gene, variant and disease concepts to ICD codes, resulting in a set of mappings that link specific genes and variants to these ICD codes. ResultsOur method created 249,764 mappings between genes and ICD codes, including 27,226 "disease" phenotypes and 222,538 "symptom" phenotypes, and provided mappings for 4,456 unique genes. Paths were validated by manual review of a diverse sample of paths. In a cohort of 92,455 samples, we used these mappings to validate gene-phenotype associations in 32,786 samples where a person had a potentially disease-causing genetic mutation and at least one corresponding diagnosis in their EHR. ConclusionThe concepts and relationships in the UMLS can be used to generate gene-ICD phenotype mappings that are not explicit in the source vocabularies. We were able use these mappings to validate gene-disease associations in a large cohort of sequenced exomes paired with EHR.

bioinformatics↗

bioRxiv2020

HES1 is a critical mediator of the SHH-GLI3 axis in regulating digit number

Sonic Hedgehog/GLI3 signaling is critical in regulating digit number, such that Gli3-deficiency results in polydactyly and Shh-deficiency leads to digit number reductions. Anterior-posterior SHH/GLI3 signaling gradients regulate cell cycle factors controlling mesenchymal cell proliferation, while simultaneously regulating Grem1 to coordinate BMP-induced chondrogenesis. SHH/GLI3 also coordinates the expression of additional genes, however their importance in digit formation remain unknown. Utilizing genetic and molecular approaches, we identified HES1 as a key transcriptional regulator downstream of SHH/GLI signaling capable of inducing preaxial polydactyly (PPD), required for Gli3-deficient PPD, and capable of overcoming digit number constraints of Shh-deficiency. Our data indicate that HES1, a direct SHH/GLI signaling target, induces mesenchymal cell proliferation via suppression of Cdkn1b, while inhibiting chondrogenic genes and the anterior autopod boundary regulator, Pax9. These findings fill gaps in knowledge regarding digit number and patterning, while creating a comprehensive framework for our molecular understanding of critical mediators of SHH/GLI3 signaling.

developmental biology↗

bioRxiv2020

The kinetic landscape of an RNA binding protein in cells

Gene expression in higher eukaryotic cells orchestrates interactions between thousands of RNA binding proteins (RBPs) and tens of thousands of RNAs 1. The kinetics by which RBPs bind to and dissociate from their RNA sites are critical for the coordination of cellular RNA-protein interactions 2. However, these kinetics were experimentally inaccessible in cells. Here we show that time-resolved RNA-protein crosslinking with a pulsed femtosecond UV laser, followed by immunoprecipitation and high throughput sequencing allows the determination of binding and dissociation kinetics of the RBP Dazl for thousands of individual RNA binding sites in cells. This kinetic crosslinking and immunoprecipitation (KIN-CLIP) approach reveals that Dazl resides at individual binding sites only seconds or shorter, while the sites remain Dazl-free markedly longer. The data further indicate that Dazl binds to many RNAs in clusters of multiple proximal sites. The impact of Dazl on mRNA levels and ribosome association correlates with the cumulative probability of Dazl binding in these clusters. Integrating kinetic data with mRNA features quantitatively connects Dazl-RNA binding to Dazl function. Our results show how previously inaccessible, kinetic parameters for RNA-protein interactions in cells can be measured and how these data quantitatively link RBP-RNA binding to cellular RBP function.

biochemistry↗

bioRxiv2019

Resting-State Functional Networks of Different Topographic Representations in the Somatosensory Cortex of Macaque Monkeys and Humans

Information processing in the brain is mediated through a complex functional network architecture whose comprising nodes integrate and segregate themselves on different timescales. To gain an understanding of the network function it is imperative to identify and understand the network structure with respect to the underlying anatomical connectivity and the topographic organization. Here we show that the previously described resting-state network for the somatosensory area 3b comprises of distinct networks that are characteristic for different topographic representations. Seed-based resting-state functional connectivity analysis in macaque monkeys and humans using BOLD-fMRI signals from the face, the hand and rest of the medial somatosensory representations of area 3b revealed different correlation patterns. Both monkeys and humans have many similarities in the connectivity networks, although the networks are more complex in humans with many more nodes. In both the species face area network has the highest ipsilateral and contralateral connectivity, which included areas 3b and 4, and ventral premotor area. The area 3b hand network included ipsilateral hand representation in area 4. The emergent functional network structures largely reflect the known anatomical connectivity. Our results show that different body part representations in area 3b have independent functional networks perhaps reflecting differences in the behavioral use of different body parts. The results also show that large cortical areas if considered together, do not give a complete and accurate picture of the network architecture. HighlightsO_LISomatosensory resting-state functional network is not uniform across the entire area 3b. Different body part representations have different connectivity networks. C_LIO_LIThese functional connectivity networks have many similarities in the two primate species, i.e. macaque monkeys and humans, although the human network is more complex. C_LIO_LIIn both the species network of the face representation is most extensive, which includes ipsilateral face motor cortex and PMv in both hemispheres. C_LIO_LIThe hand representation in area 3b has connectivity with ipsilateral hand motor cortex. C_LIO_LIBilateral connectivity with homologous and nonhomologous area 3b representations was observed only in humans. C_LIO_LIThe functional connectivity networks largely reflect the underlying anatomical connectivity. C_LI

neuroscience↗

bioRxiv2019

miRNA-encoded peptide, miPEP858, regulates plant growth and development in Arabidopsis

MicroRNAs (miRNAs), small non-coding endogenous RNAs, are processed product of primary miRNAs (pri-miRNAs) and regulate target gene expression. pri-miRNAs have also been reported to encode small peptides, miRNA-Encoded Peptides (miPEPs). Though regulatory role of miPEPs has been speculated, no detailed study has been carried out to elucidate their function through developing knock-out mutants. Here, we report that pri-miR858a of Arabidopsis thaliana encodes a small peptide (miPEP858a) which regulates the expression of pri-miR858a leading to modulation in the expression of target genes involved in the plant growth and development as well as phenylpropanoid pathway. CRISPR-based miPEP858a-edited plants developed phenotypes similar to that of mature miR858-edited plants suggesting crucial role of miPEP858a in mediating miR585a function. miPEP858a-edited and miPEP858a overexpressing lines altered plant development and accumulated modulated levels of flavonoids due to changes in expression of associated genes. Exogenous treatment of synthetic-miPEP858a to the miPEP858a-edited plants complemented phenotypes and the gene function suggesting a significant role of miPEP858a in controlling the miR858 function and plant development.\n\nOne sentence summarySmall peptide, miPEP858a, encoded by primary miRNA for miR858a regulates plant growth, development and flavonoid biosynthesis\n\nThe authors responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors

plant biology↗