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Ayachit, G.

Publications and source records attributed to Ayachit, G..

2 recordsLinked to original sources

Pan-species transcriptomic analysis reveals a constitutive adaptation against oxidative stress for the highly virulent Leptospira species.

Different environments exert selective pressures on bacterial populations, favoring individuals with particular genetic traits that are well-suited for survival in those conditions. Evolutionary mechanisms such as natural selection have, therefore, shaped bacterial populations over time selecting, in a stepwise manner, the fittest bacteria that gave rise to the modern lineages that exist today. Advances in genomic sequencing, computational analysis, and experimental techniques continue to enhance our understanding of bacterial evolution and its implications. Nevertheless, these are often limited to genomic comparisons of closely related species. In the present study, we introduce Annotator-RNAtor, a graphical user interface (GUI) method for performing pan-species transcriptomic analysis and studying intragenus evolution. The pipeline uses third-party software to infer homologous genes in various species and highlight differences in the expression of the core-genes. To illustrate the methodology and demonstrate its usefulness, we focus on the emergence of the highly virulent Leptospira subclade known as P1+, which includes the causative agents of leptospirosis. Here, we expand on the genomic study through the comparison of transcriptomes between species from P1+ and their related P1-counterparts (low-virulent pathogens). In doing so, we shed light on differentially expressed pathways and focused on describing a specific example of adaptation based on a differential expression of PerRA-controlled genes. We showed that P1+ species exhibit higher expression of the katE gene, a well-known virulence determinant in pathogenic Leptospira species correlated with greater tolerance to peroxide. Switching PerRA alleles between P1+ and P1-species demonstrated that the lower repression of katE and greater tolerance to peroxide in P1+ species was solely controlled by PerRA and partly caused by a PerRA amino-acid permutation. Overall, these results demonstrate the strategic fit of the methodology and its ability to decipher adaptive transcriptomic changes, not observable by comparative genome analysis, that may have been crucial for the emergence of these pathogens. Author summaryNatural selection is one of the central mechanisms of the bacterial evolution. Speciation events and adaptation occurs such as mutations, deletions and horizontal gene transfers to enhance our understanding of evolution. Nevertheless, these are often limited to genomic comparisons between species. Here, we are developed a graphical user interface method, named Annotator-RNAtor, to perform pan-species transcriptomic analysis and studying intragenus evolution. To illustrate the methodology, we focus on the emergence of the virulent Leptospira species, causative agents of leptospirosis. We shed light on a differential regulation of several PerRA-controlled genes in P1+ Leptospira subclade (highly virulent pathogens) compared to P1-Leptospira subclade (low virulent pathogens). P1+ species exhibit higher expression of the catalase-encoding gene katE, than P1-species, correlating with a greater ability to withstand peroxide. Additionally, we demonstrate that the difference in katE expression is mediated only by PerRA and the residue 89 of the PerRA protein participates on this regulation. These findings highlight the importance to decipher adaptative transcriptomic changes to fully understand the emergence of pathogenic species.

microbiology↗

De novo transcriptome of Taverniera cuneifolia (Roth) Ali.

Taverniera cuneifolia has been described as a potent substitute of Licorice in India. It has been used as an expectorant, anti-inflammatory, anti-ulcer, wound healing, blood purifier etc. Glycyrrhizin is one of the most useful bioactive sesquiterpenoid present in this plant. The present study aim to carry out transcriptome analysis in root tissue of Taverniera cuneifolia to identify specific functional genes involved in the biosynthesis of secondary metabolites. The root transcriptome sequencing of Taverniera cuneifolia resulted in a total of ~7.29 Gb of raw data and generated 55,991,233 raw reads. The high quality reads were de novo assembled by Trinity assembler followed through CD-HIT resulted into 35,590 "Unigene" transcripts with an average size of 419 bp. The unigenes were analyzed using BLAST2GO resulted in 27,884 (78.35%) transcript with blast hits, 22,510 (63.25%) transcript with mapping and 21,066 (59.19%) transcript with annotation. Functional annotation was carried out using NCBIs non-redundant and Uniprot databases resulted in the identification of 21,066 (59.19%) annotated transcripts and GO assigned to 24751 (69.54%) transcripts. The gene ontology result shows maximum sequences match with Biological Processes (48%), Molecular Function (27%) and Cellular components (23%). A total of 289 metabolic enriched pathways were identified, which included pathways like Sesquiterpenoid and triterpenoid pathway which were involved in synthesis of secondary metabolite Glycyrrhizin biosynthesis. The enzymes, squalene monooxygenase, farnesyl-diphosphate farnesyltransferase, beta amyrin synthase, beta-amyrin 24-hydroxylase, were identified by functional annotation of transcriptome data. There were several other pathways like terpenoid backbone biosynthesis, steroid biosynthesis, Carotenoid biosynthesis, Flavonoids biosynthesis etc. which have been reported first time from this plant. Transcription factors were predicted by comparison with Plant Transcription Factor Database, and 1557 trancripts belonging to 85 trancription factor families were identified. This transcriptome analysis provided an important resource for future genomic studies in Taverniera cuneifolia, therefore representing basis in further investigation of the plant. SignificanceLicorice (Glycyrrhiza glabra roots) is used as traditional Chinese herbal medicines in majority of formulations. Licorice is also used in Industries like food, herbal and cosmetics etc. due to its high demand in the market it is imported from foreign countries and is not available locally of superior quality (Liu et al., 2015). In India, Taverniera cuneifolia has been described as a potent substitute of Licorice, it has been quoted in ancient books like Charak Samhita during the Nigandu period (Kamboj, 2000) and Barda dungar ni Vanaspati ane upyog (Thaker 1910). It has been used as an expectorant, anti-inflammatory, anti-ulcer, wound healing, blood purifier etc. Transcriptomic studies will assist in understanding the basic molecular structure, function and organization of information within the genome of Taverniera cuniefolia. This study will help us to identify the key metabolites their expressions and genes responsible for their production.

genomics↗