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Dive into the research topics where Mridul Nair is active.

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Featured researches published by Mridul Nair.


eLife | 2015

Chromerid genomes reveal the evolutionary path from photosynthetic algae to obligate intracellular parasites

Yong H. Woo; Hifzur Rahman Ansari; Thomas D. Otto; Christen M. Klinger; Martin Kolisko; Jan Michálek; Alka Saxena; Dhanasekaran Shanmugam; Annageldi Tayyrov; Alaguraj Veluchamy; Shahjahan Ali; Axel Bernal; Javier Campo; Jaromír Cihlář; Pavel Flegontov; Sebastian G. Gornik; Eva Hajdušková; Aleš Horák; Jan Janouškovec; Nicholas J. Katris; Fred D. Mast; Diego Miranda-Saavedra; Tobias Mourier; Raeece Naeem; Mridul Nair; Aswini K. Panigrahi; Neil D. Rawlings; Eriko Padron-Regalado; Abhinay Ramaprasad; Nadira Samad

The eukaryotic phylum Apicomplexa encompasses thousands of obligate intracellular parasites of humans and animals with immense socio-economic and health impacts. We sequenced nuclear genomes of Chromera velia and Vitrella brassicaformis, free-living non-parasitic photosynthetic algae closely related to apicomplexans. Proteins from key metabolic pathways and from the endomembrane trafficking systems associated with a free-living lifestyle have been progressively and non-randomly lost during adaptation to parasitism. The free-living ancestor contained a broad repertoire of genes many of which were repurposed for parasitic processes, such as extracellular proteins, components of a motility apparatus, and DNA- and RNA-binding protein families. Based on transcriptome analyses across 36 environmental conditions, Chromera orthologs of apicomplexan invasion-related motility genes were co-regulated with genes encoding the flagellar apparatus, supporting the functional contribution of flagella to the evolution of invasion machinery. This study provides insights into how obligate parasites with diverse life strategies arose from a once free-living phototrophic marine alga. DOI: http://dx.doi.org/10.7554/eLife.06974.001


Genome Medicine | 2015

Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences

Francesc Coll; Ruth McNerney; Mark D. Preston; José Afonso Guerra-Assunção; Andrew Warry; Grant A. Hill-Cawthorne; Kim Mallard; Mridul Nair; Anabela Miranda; Adriana Alves; João Perdigão; Miguel Viveiros; Isabel Portugal; Zahra Hasan; Rumina Hasan; Judith R. Glynn; Nigel J. Martin; Arnab Pain; Taane G. Clark

Mycobacterium tuberculosis drug resistance (DR) challenges effective tuberculosis disease control. Current molecular tests examine limited numbers of mutations, and although whole genome sequencing approaches could fully characterise DR, data complexity has restricted their clinical application. A library (1,325 mutations) predictive of DR for 15 anti-tuberculosis drugs was compiled and validated for 11 of them using genomic-phenotypic data from 792 strains. A rapid online ‘TB-Profiler’ tool was developed to report DR and strain-type profiles directly from raw sequences. Using our DR mutation library, in silico diagnostic accuracy was superior to some commercial diagnostics and alternative databases. The library will facilitate sequence-based drug-susceptibility testing.


Genome Research | 2014

Genomic analysis of the causative agents of coccidiosis in domestic chickens

Adam J. Reid; Damer P. Blake; Hifzur Rahman Ansari; Karen J. Billington; Hilary P. Browne; Josephine M. Bryant; Matthew Dunn; Stacy S. Hung; Fumiya Kawahara; Diego Miranda-Saavedra; Tareq M. Malas; Tobias Mourier; Hardeep Naghra; Mridul Nair; Thomas D. Otto; Neil D. Rawlings; Pierre Rivailler; Alejandro Sanchez-Flores; Mandy Sanders; Chandra Subramaniam; Yea-Ling Tay; Yong Woo; Xikun Wu; Bart Barrell; Paul H. Dear; Christian Doerig; Arthur Gruber; Alasdair Ivens; John Parkinson; Marie-Adele Rajandream

Global production of chickens has trebled in the past two decades and they are now the most important source of dietary animal protein worldwide. Chickens are subject to many infectious diseases that reduce their performance and productivity. Coccidiosis, caused by apicomplexan protozoa of the genus Eimeria, is one of the most important poultry diseases. Understanding the biology of Eimeria parasites underpins development of new drugs and vaccines needed to improve global food security. We have produced annotated genome sequences of all seven species of Eimeria that infect domestic chickens, which reveal the full extent of previously described repeat-rich and repeat-poor regions and show that these parasites possess the most repeat-rich proteomes ever described. Furthermore, while no other apicomplexan has been found to possess retrotransposons, Eimeria is home to a family of chromoviruses. Analysis of Eimeria genes involved in basic biology and host-parasite interaction highlights adaptations to a relatively simple developmental life cycle and a complex array of co-expressed surface proteins involved in host cell binding.


PLOS ONE | 2015

Whole Genome Sequencing Based Characterization of Extensively Drug- Resistant Mycobacterium tuberculosis Isolates from Pakistan

Asho Ali; Zahra Hasan; Ruth McNerney; Kim Mallard; Grant A. Hill-Cawthorne; Francesc Coll; Mridul Nair; Arnab Pain; Taane G. Clark; Rumina Hasan

Improved molecular diagnostic methods for detection drug resistance in Mycobacterium tuberculosis (MTB) strains are required. Resistance to first- and second- line anti-tuberculous drugs has been associated with single nucleotide polymorphisms (SNPs) in particular genes. However, these SNPs can vary between MTB lineages therefore local data is required to describe different strain populations. We used whole genome sequencing (WGS) to characterize 37 extensively drug-resistant (XDR) MTB isolates from Pakistan and investigated 40 genes associated with drug resistance. Rifampicin resistance was attributable to SNPs in the rpoB hot-spot region. Isoniazid resistance was most commonly associated with the katG codon 315 (92%) mutation followed by inhA S94A (8%) however, one strain did not have SNPs in katG, inhA or oxyR-ahpC. All strains were pyrazimamide resistant but only 43% had pncA SNPs. Ethambutol resistant strains predominantly had embB codon 306 (62%) mutations, but additional SNPs at embB codons 406, 378 and 328 were also present. Fluoroquinolone resistance was associated with gyrA 91–94 codons in 81% of strains; four strains had only gyrB mutations, while others did not have SNPs in either gyrA or gyrB. Streptomycin resistant strains had mutations in ribosomal RNA genes; rpsL codon 43 (42%); rrs 500 region (16%), and gidB (34%) while six strains did not have mutations in any of these genes. Amikacin/kanamycin/capreomycin resistance was associated with SNPs in rrs at nt1401 (78%) and nt1484 (3%), except in seven (19%) strains. We estimate that if only the common hot-spot region targets of current commercial assays were used, the concordance between phenotypic and genotypic testing for these XDR strains would vary between rifampicin (100%), isoniazid (92%), flouroquinolones (81%), aminoglycoside (78%) and ethambutol (62%); while pncA sequencing would provide genotypic resistance in less than half the isolates. This work highlights the importance of expanded targets for drug resistance detection in MTB isolates.


BMC Medicine | 2016

Mycobacterium tuberculosis whole genome sequencing and protein structure modelling provides insights into anti-tuberculosis drug resistance

Jody Phelan; Francesc Coll; Ruth McNerney; David B. Ascher; Douglas E. V. Pires; Nick Furnham; Nele Coeck; Grant A. Hill-Cawthorne; Mridul Nair; Kim Mallard; Andrew Ramsay; Susana Campino; Martin L. Hibberd; Arnab Pain; Leen Rigouts; Taane G. Clark

BackgroundCombating the spread of drug resistant tuberculosis is a global health priority. Whole genome association studies are being applied to identify genetic determinants of resistance to anti-tuberculosis drugs. Protein structure and interaction modelling are used to understand the functional effects of putative mutations and provide insight into the molecular mechanisms leading to resistance.MethodsTo investigate the potential utility of these approaches, we analysed the genomes of 144 Mycobacterium tuberculosis clinical isolates from The Special Programme for Research and Training in Tropical Diseases (TDR) collection sourced from 20 countries in four continents. A genome-wide approach was applied to 127 isolates to identify polymorphisms associated with minimum inhibitory concentrations for first-line anti-tuberculosis drugs. In addition, the effect of identified candidate mutations on protein stability and interactions was assessed quantitatively with well-established computational methods.ResultsThe analysis revealed that mutations in the genes rpoB (rifampicin), katG (isoniazid), inhA-promoter (isoniazid), rpsL (streptomycin) and embB (ethambutol) were responsible for the majority of resistance observed. A subset of the mutations identified in rpoB and katG were predicted to affect protein stability. Further, a strong direct correlation was observed between the minimum inhibitory concentration values and the distance of the mutated residues in the three-dimensional structures of rpoB and katG to their respective drugs binding sites.ConclusionsUsing the TDR resource, we demonstrate the usefulness of whole genome association and convergent evolution approaches to detect known and potentially novel mutations associated with drug resistance. Further, protein structural modelling could provide a means of predicting the impact of polymorphisms on drug efficacy in the absence of phenotypic data. These approaches could ultimately lead to novel resistance mutations to improve the design of tuberculosis control measures, such as diagnostics, and inform patient management.


Nucleic Acids Research | 2014

The evolutionary dynamics of variant antigen genes in Babesia reveal a history of genomic innovation underlying host-parasite interaction

Andrew P. Jackson; Thomas D. Otto; Alistair C. Darby; Abhinay Ramaprasad; Dong Xia; Ignacio Echaide; Marisa Farber; Sunayna Gahlot; John Gamble; Dinesh Gupta; Yask Gupta; Louise Jackson; Laurence Malandrin; Tareq B. Malas; Ehab Moussa; Mridul Nair; Adam J. Reid; Mandy Sanders; Jyotsna Sharma; Alan Tracey; Michael A. Quail; William Weir; Jonathan M. Wastling; Neil Hall; Peter Willadsen; Klaus Lingelbach; Brian Shiels; Andy Tait; Matthew Berriman; David R. Allred

Babesia spp. are tick-borne, intraerythrocytic hemoparasites that use antigenic variation to resist host immunity, through sequential modification of the parasite-derived variant erythrocyte surface antigen (VESA) expressed on the infected red blood cell surface. We identified the genomic processes driving antigenic diversity in genes encoding VESA (ves1) through comparative analysis within and between three Babesia species, (B. bigemina, B. divergens and B. bovis). Ves1 structure diverges rapidly after speciation, notably through the evolution of shortened forms (ves2) from 5′ ends of canonical ves1 genes. Phylogenetic analyses show that ves1 genes are transposed between loci routinely, whereas ves2 genes are not. Similarly, analysis of sequence mosaicism shows that recombination drives variation in ves1 sequences, but less so for ves2, indicating the adoption of different mechanisms for variation of the two families. Proteomic analysis of the B. bigemina PR isolate shows that two dominant VESA1 proteins are expressed in the population, whereas numerous VESA2 proteins are co-expressed, consistent with differential transcriptional regulation of each family. Hence, VESA2 proteins are abundant and previously unrecognized elements of Babesia biology, with evolutionary dynamics consistently different to those of VESA1, suggesting that their functions are distinct.


Proceedings of the National Academy of Sciences of the United States of America | 2015

Population genomic structure and adaptation in the zoonotic malaria parasite Plasmodium knowlesi.

Samuel A. Assefa; Caeul Lim; Mark D. Preston; Craig W. Duffy; Mridul Nair; Sabir A. Adroub; Khamisah Abdul Kadir; Jonathan M. Goldberg; Daniel E. Neafsey; Paul Cliff Simon Divis; Taane G. Clark; Manoj T. Duraisingh; David J. Conway; Arnab Pain; Balbir Singh

Significance Genome sequence analysis reveals that the zoonotic malaria parasite Plasmodium knowlesi consists of three highly divergent subpopulations. Two, commonly seen in sympatric human clinical infections in Malaysian Borneo, were identified in a previous study as corresponding to parasites seen in long-tailed and pig-tailed macaque hosts, respectively. A third type has been detected in a few laboratory-maintained isolates originally derived in the 1960s elsewhere in Southeast Asia. Divergence between the subpopulations varies significantly across the genome but overall is at a level indicating different subspecies. Analysis of the diversity within the most common type in human infections shows strong signatures of natural selection, including balancing selection and directional selection, on loci distinct from those under selection in endemic human malaria parasites. Malaria cases caused by the zoonotic parasite Plasmodium knowlesi are being increasingly reported throughout Southeast Asia and in travelers returning from the region. To test for evidence of signatures of selection or unusual population structure in this parasite, we surveyed genome sequence diversity in 48 clinical isolates recently sampled from Malaysian Borneo and in five lines maintained in laboratory rhesus macaques after isolation in the 1960s from Peninsular Malaysia and the Philippines. Overall genomewide nucleotide diversity (π = 6.03 × 10−3) was much higher than has been seen in worldwide samples of either of the major endemic malaria parasite species Plasmodium falciparum and Plasmodium vivax. A remarkable substructure is revealed within P. knowlesi, consisting of two major sympatric clusters of the clinical isolates and a third cluster comprising the laboratory isolates. There was deep differentiation between the two clusters of clinical isolates [mean genomewide fixation index (FST) = 0.21, with 9,293 SNPs having fixed differences of FST = 1.0]. This differentiation showed marked heterogeneity across the genome, with mean FST values of different chromosomes ranging from 0.08 to 0.34 and with further significant variation across regions within several chromosomes. Analysis of the largest cluster (cluster 1, 38 isolates) indicated long-term population growth, with negatively skewed allele frequency distributions (genomewide average Tajima’s D = −1.35). Against this background there was evidence of balancing selection on particular genes, including the circumsporozoite protein (csp) gene, which had the top Tajima’s D value (1.57), and scans of haplotype homozygosity implicate several genomic regions as being under recent positive selection.


PLOS ONE | 2014

Recombinations in Staphylococcal Cassette Chromosome mec Elements Compromise the Molecular Detection of Methicillin Resistance in Staphylococcus aureus

Grant A. Hill-Cawthorne; Lyndsey O. Hudson; Moataz Abd El Ghany; Olaf Piepenburg; Mridul Nair; Andrew Dodgson; Matthew S. Forrest; Taane G. Clark; Arnab Pain

Clinical laboratories are increasingly using molecular tests for methicillin-resistant Staphylococcus aureus (MRSA) screening. However, primers have to be targeted to a variable chromosomal region, the staphylococcal cassette chromosome mec (SCCmec). We initially screened 726 MRSA isolates from a single UK hospital trust by recombinase polymerase amplification (RPA), a novel, isothermal alternative to PCR. Undetected isolates were further characterised using multilocus sequence, spa typing and whole genome sequencing. 96% of our tested phenotypically MRSA isolates contained one of the six orfX-SCCmec junctions our RPA test and commercially available molecular tests target. However 30 isolates could not be detected. Sequencing of 24 of these isolates demonstrated recombinations within the SCCmec element with novel insertions that interfered with the RPA, preventing identification as MRSA. This result suggests that clinical laboratories cannot rely solely upon molecular assays to reliably detect all methicillin-resistance. The presence of significant recombinations in the SCCmec element, where the majority of assays target their primers, suggests that there will continue to be isolates that escape identification. We caution that dependence on amplification-based molecular assays will continue to result in failure to diagnose a small proportion (∼4%) of MRSA isolates, unless the true level of SCCmec natural diversity is determined by whole genome sequencing of a large collection of MRSA isolates.


Proceedings of the National Academy of Sciences of the United States of America | 2016

Normocyte-binding protein required for human erythrocyte invasion by the zoonotic malaria parasite Plasmodium knowlesi.

Robert W. Moon; Hazem Sharaf; Claire H. Hastings; Yung Shwen Ho; Mridul Nair; Zineb Rchiad; Ellen Knuepfer; Abhinay Ramaprasad; Franziska Mohring; Amirah Amir; Noor A. Yusuf; Joanna Hall; Neil Almond; Yee Ling Lau; Arnab Pain; Michael J. Blackman; Anthony A. Holder

Significance Plasmodium knowlesi is a parasite that naturally infects cynomolgus monkeys but is also a major cause of severe zoonotic malaria in humans in South East Asia. Comparing the genomes of parasites restricted to growth in culture with cynomolgus RBCs and those adapted to growth in human RBCs identified a gene specifically required for invasion of human RBCs, a process that is critical for parasite replication. This gene encodes normocyte-binding protein Xa, a protein previously shown to bind human RBCs and implicated in invasion. Disruption of this gene blocks invasion of human but not cynomolgus RBCs, thus confirming a key mediator of human infection and a potential target for inclusion in vaccines to prevent human infection. The dominant cause of malaria in Malaysia is now Plasmodium knowlesi, a zoonotic parasite of cynomolgus macaque monkeys found throughout South East Asia. Comparative genomic analysis of parasites adapted to in vitro growth in either cynomolgus or human RBCs identified a genomic deletion that includes the gene encoding normocyte-binding protein Xa (NBPXa) in parasites growing in cynomolgus RBCs but not in human RBCs. Experimental deletion of the NBPXa gene in parasites adapted to growth in human RBCs (which retain the ability to grow in cynomolgus RBCs) restricted them to cynomolgus RBCs, demonstrating that this gene is selectively required for parasite multiplication and growth in human RBCs. NBPXa-null parasites could bind to human RBCs, but invasion of these cells was severely impaired. Therefore, NBPXa is identified as a key mediator of P. knowlesi human infection and may be a target for vaccine development against this emerging pathogen.


Scientific Reports | 2015

Draft genome of the most devastating insect pest of coffee worldwide: the coffee berry borer, Hypothenemus hampei

Fernando E. Vega; Stuart M. Brown; Hao Chen; Eric Shen; Mridul Nair; Javier A. Ceja-Navarro; Eoin L. Brodie; Francisco Infante; Patrick F. Dowd; Arnab Pain

The coffee berry borer, Hypothenemus hampei, is the most economically important insect pest of coffee worldwide. We present an analysis of the draft genome of the coffee berry borer, the third genome for a Coleopteran species. The genome size is ca. 163 Mb with 19,222 predicted protein-coding genes. Analysis was focused on genes involved in primary digestion as well as gene families involved in detoxification of plant defense molecules and insecticides, such as carboxylesterases, cytochrome P450, gluthathione S-transferases, ATP-binding cassette transporters, and a gene that confers resistance to the insecticide dieldrin. A broad range of enzymes capable of degrading complex polysaccharides were identified. We also evaluated the pathogen defense system and found homologs to antimicrobial genes reported in the Drosophila genome. Ten cases of horizontal gene transfer were identified with evidence for expression, integration into the H. hampei genome, and phylogenetic evidence that the sequences are more closely related to bacterial rather than eukaryotic genes. The draft genome analysis broadly expands our knowledge on the biology of a devastating tropical insect pest and suggests new pest management strategies.

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