Jolly Basak

Dr. Jolly Basak


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 November 2015 in Frontiers in Plant Science
Verified
Journal Article
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JBJolly Basak
Jolly Basak
CNChandran Nithin
Chandran Nithin
Non-coding RNAs (ncRNAs) have emerged as versatile master regulator of biological functions in recent years. MicroRNAs (miRNAs) are small endogenous ncRNAs of 18-24 nucleotides in length that originates from long self-complementary precursors. Besides their direct involvement in developmental processes, plant miRNAs play key roles in gene regulatory networks and varied biological processes. Alternatively, long ncRNAs (lncRNAs) are a large and diverse class of transcribed ncRNAs whose length exceed that of 200 nucleotides. Plant lncRNAs are transcribed by different RNA polymerases, showing diverse structural features. Plant lncRNAs also are important regulators of gene expression in diverse biological processes. There has been a breakthrough in the technology of genome editing, the CRISPR-Cas9 (clustered regulatory interspaced short palindromic repeats/CRISPR-associated protein 9) technology, in the last decade. CRISPR loci are transcribed into ncRNA and eventually form a functional complex with Cas9 and further guide the complex to cleave complementary invading DNA. The CRISPR-Cas technology has been successfully applied in model plants such as Arabidopsis and tobacco and important crops like wheat, maize and rice. However, all these studies are focused on protein coding genes. Information about targeting non-coding genes is scarce. Hitherto, the CRISPR-Cas technology has been exclusively used in vertebrate systems to engineer miRNA/lncRNAs, but it is still relatively unexplored in plants. While briefing miRNAs, lncRNAs and applications of the CRISPR-Cas technology in human and animals, this review essentially elaborates several strategies to overcome the challenges of applying the CRISPR-Cas technology in editing ncRNAs in plants and the future perspective of this field.

27 May 2011 in Molecular Biotechnology
Verified
Journal Article
Closed access
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TLT. D. Lodha
T. D. Lodha
JBJolly Basak
Jolly Basak

15 November 2017 in BMC Genomics
Verified
Journal Article
Open access
PDF file
CNChandran Nithin
Chandran Nithin
ATAmal Thomas
Amal Thomas
JBJolly Basak
Jolly Basak
RBRanjit Prasad Bahadur
Ranjit Prasad Bahadur
Non-coding RNAs (ncRNAs) are important players in the post transcriptional regulation of gene expression (PTGR). On one hand, microRNAs (miRNAs) are an abundant class of small ncRNAs (~22nt long) that negatively regulate gene expression at the levels of messenger RNAs stability and translation inhibition, on the other hand, long ncRNAs (lncRNAs) are a large and diverse class of transcribed non-protein coding RNA molecules (> 200nt) that play both up-regulatory as well as down-regulatory roles at the transcriptional level. Cajanus cajan, a leguminosae pulse crop grown in tropical and subtropical areas of the world, is a source of high value protein to vegetarians or very poor populations globally. Hence, genome-wide identification of miRNAs and lncRNAs in C. cajan is extremely important to understand their role in PTGR with a possible implication to generate improve variety of crops. We have identified 616 mature miRNAs in C. cajan belonging to 118 families, of which 578 are novel and not reported in MirBase21. A total of 1373 target sequences were identified for 180 miRNAs. Of these, 298 targets were characterized at the protein level. Besides, we have also predicted 3919 lncRNAs. Additionally, we have identified 87 of the predicted lncRNAs to be targeted by 66 miRNAs. miRNA and lncRNAs in plants are known to control a variety of traits including yield, quality and stress tolerance. Owing to its agricultural importance and medicinal value, the identified miRNA, lncRNA and their targets in C. cajan may be useful for genome editing to improve better quality crop. A thorough understanding of ncRNA-based cellular regulatory networks will aid in the improvement of C. cajan agricultural traits.

12 June 2015 in BMC Plant Biology
Verified
Journal Article
Open access
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CNChandran Nithin
Chandran Nithin
NPNisha Patwa
Nisha Patwa
ATAmal Thomas
Amal Thomas
RBRanjit Prasad Bahadur
Ranjit Prasad Bahadur
JBJolly Basak
Jolly Basak
MicroRNAs (miRNAs) are endogenous, noncoding, short RNAs directly involved in regulating gene expression at the post-transcriptional level. In spite of immense importance, limited information of P. vulgaris miRNAs and their expression patterns prompted us to identify new miRNAs in P. vulgaris by computational methods. Besides conventional approaches, we have used the simple sequence repeat (SSR) signatures as one of the prediction parameter. Moreover, for all other parameters including normalized Shannon entropy, normalized base pairing index and normalized base-pair distance, instead of taking a fixed cut-off value, we have used 99 % probability range derived from the available data. We have identified 208 mature miRNAs in P. vulgaris belonging to 118 families, of which 201 are novel. 97 of the predicted miRNAs in P. vulgaris were validated with the sequencing data obtained from the small RNA sequencing of P. vulgaris. Randomly selected predicted miRNAs were also validated using qRT-PCR. A total of 1305 target sequences were identified for 130 predicted miRNAs. Using 80 % sequence identity cut-off, proteins coded by 563 targets were identified. The computational method developed in this study was also validated by predicting 229 miRNAs of A. thaliana and 462 miRNAs of G. max, of which 213 for A. thaliana and 397 for G. max are existing in miRBase 20. There is no universal SSR that is conserved among all precursors of Viridiplantae, but conserved SSR exists within a miRNA family and is used as a signature in our prediction method. Prediction of known miRNAs of A. thaliana and G. max validates the accuracy of our method. Our findings will contribute to the present knowledge of miRNAs and their targets in P. vulgaris. This computational method can be applied to any species of Viridiplantae for the successful prediction of miRNAs and their targets.

18 October 2018 in Functional Plant Biology
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Journal Article
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NCNibedita Chakraborty
Nibedita Chakraborty
JBJolly Basak
Jolly Basak
Vigna mungo (L.) Hepper is an economically important leguminous crop in south-east Asia. However, its production is severely affected by Mungbean yellow mosaic India virus (MYMIV). It is well established that methyl jasmonate (MeJA) is effective in inducing resistance against pathogens in several plants. To assess the role of MeJA in developing MYMIV tolerance in V. mungo, we analysed time-dependent biochemical and molecular responses of MYMIV susceptible V. mungo after exogenous application of different MeJA concentrations, followed by MYMIV infection. Our analysis revealed that exogenous application of different concentrations of MeJA resulted in decreased levels of malondialdehyde with higher membrane stability index values in MYMIV susceptible V. mungo, suggesting the protective role of MeJA through restoring the membrane stability. Moreover, the level of expression of different antioxidative enzymes revealed that exogenous MeJA is also very effective in ROS homeostasis maintenance. Enhanced expressions of the defence marker genes lipoxygenase and phenylalanine ammonia-lyase and the reduced expression of the MYMIV coat-protein encoding gene in all MeJA treated plants post MYMIV infection revealed that exogenous application of MeJA is effective for MYMIV tolerance in V. mungo. Our findings provide new insights into the physiological and molecular mechanisms of MYMIV tolerance in Vigna induced by MeJA.