An integrated method for targeted Oxford Nanopore sequencing and automated bioinformatics for the simultaneous detection of bacteria, fungi, and ARG.

AIMS: The use of metagenomics for pathogen identification in clinical practice has been limited. Here we describe a workflow to encourage the clinical utility and potential of NGS for the screening of bacteria, fungi, and antimicrobial resistance genes (ARGs). METHODS AND RESULTS: The method includes target enrichment, long-read sequencing, and automated bioinformatics. Evaluation of several tools and databases was undertaken across standard organisms (n = 12), clinical isolates (n = 114), and blood samples from patients with suspected bloodstream infections (n = 33). The strategy used could offset the presence of host background DNA, error rates of long-read sequencing, and provide accurate and reproducible detection of pathogens. Eleven targets could be successfully tested in a single assay. Organisms could be confidently identified considering ≥60% of best hits of a BLAST-based threshold of e-value 0.001 and a percent identity of >80%. For ARGs, reads with percent identity of >90% and >60% overlap of the complete gene could be confidently annotated. A kappa of 0.83 was observed compared to standard diagnostic methods. Thus, a workflow for the direct-from-sample, on-site sequencing combined with automated genomics was demonstrated to be reproducible. CONCLUSION: NGS-based technologies overcome several limitations of current day diagnostics. Highly sensitive and comprehensive methods of pathogen screening are the need of the hour. We developed a framework for reliable, on-site, screening of pathogens.

Development of a PNA-DiSc2 based portable absorbance platform for the detection of pathogen nucleic acids.

We report the development of a portable absorption (PortAbs)-based pathogen nucleic acid detection system using peptide nucleic acid (PNA) and a cyanine dye, DiSc2(5). When the dye binds to the PNA-DNA hybrid, it results in a characteristic ∼110 nm shift in the dye absorbance, which we measure using PortAbs. The protocol involves amplification of the target DNA, PNA-DNA hybridization and dye complexing steps followed by absorption measurement. The system is built using a broad-spectrum photodiode whose output is amplified and then measured by a high resolution (24 or 32 bit) analog-to-digital converter. The excitation pulses of light are delivered by a color-changing LED. The sequence of excitation, measurement and display of results are all controlled by an embedded Raspberry-Pi board (or alternatively a laptop). At higher concentrations of the target amplicon (∼200 ng), the color change can be detected visually. At lower concentrations, PortAbs outperforms a plate reader and can detect target DNA as low as 30 ng or approximately 10 nM which is at least 10 fold better than previously reported studies. We validate the methodology using SARS-CoV-2 clinical samples containing about 1000 copies of the viral RNA and show that the entire workflow takes about 90 min. The cost of the complete standalone system is less than INR 40 000 (approx. 500 USD).

Giant viral genomic signatures in the previously reported gut metagenomes of pre-school children in rural India.

A recent study by Ghosh et al. compared the gut microbiomes of 20 preschool children from India and found an association between the gut microbiome and the nutritional status of the child. Here, we explored these metagenomes for the presence of genomic signatures of prokaryotic and eukaryotic viruses. Several of the viral signatures found in all 20 metagenomes belonged to giant viruses (GVs). In addition, we found hits for bacteriophages to several major human pathogens, including Shigella, Salmonella, Escherichia, and Enterobacter. Concurrently, we also detected several antibiotic resistance genes (ARGs) in the metagenomes. All of the ARGs detected in this study (beta-lactam, macrolide, metronidazole, and tetracycline) are associated with mobile genetic elements (MGEs) and have been reported to cause high levels of resistance to their respective antibiotics. Despite recent reports of giant viruses and their genomic signatures in gut microbiota, their role in human physiology remains poorly understood. The effect of cooccurrence of ARGs and GVs in the gut needs further investigation.

Deregulation of Genes Associated with Alternate Drug Resistance Mechanisms in Mycobacterium tuberculosis.

Alternate mechanisms of drug resistance involving intrinsic defense pathways play an important role in development of drug resistance. Deregulation of drug efflux, cellular metabolism, and DNA repair have been indicated to have effect on drug tolerance and persistence. Here we chose eight genes from these pathways to investigate their association with development of multidrug resistance (MDR). We generated mono drug resistant and MDR strains of rifampicin and isoniazid and examined the differential expression of genes belonging to efflux, DNA repair and cell wall lipid synthesis pathways. Rv1687c, recB, ppsD and embC genes showed significant (P <0.05) upregulation in mono-resistant (both rifampicin and isoniazid) as well as MDR strains. mmr showed significant upregulation with rifampicin resistance while Rv1457c showed significant upregulation only with mono-resistant strains. Highest expression change was observed with Rv1687c and ppsD. The study identified potential key genes that are significantly associated with development of drug resistance in vitro. These genes may help identify clinical strains predisposed to acquiring drug resistance in patients during the course of treatment or help in management of MDR forms of tuberculosis.

Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples.

Routine full characterization of Mycobacterium tuberculosis is culture based, taking many weeks. Whole-genome sequencing (WGS) can generate antibiotic susceptibility profiles to inform treatment, augmented with strain information for global surveillance; such data could be transformative if provided at or near the point of care. We demonstrate a low-cost method of DNA extraction directly from patient samples for M. tuberculosis WGS. We initially evaluated the method by using the Illumina MiSeq sequencer (40 smear-positive respiratory samples obtained after routine clinical testing and 27 matched liquid cultures). M. tuberculosis was identified in all 39 samples from which DNA was successfully extracted. Sufficient data for antibiotic susceptibility prediction were obtained from 24 (62%) samples; all results were concordant with reference laboratory phenotypes. Phylogenetic placement was concordant between direct and cultured samples. With Illumina MiSeq/MiniSeq, the workflow from patient sample to results can be completed in 44/16 h at a reagent cost of £96/£198 per sample. We then employed a nonspecific PCR-based library preparation method for sequencing on an Oxford Nanopore Technologies MinION sequencer. We applied this to cultured Mycobacterium bovis strain BCG DNA and to combined culture-negative sputum DNA and BCG DNA. For flow cell version R9.4, the estimated turnaround time from patient to identification of BCG, detection of pyrazinamide resistance, and phylogenetic placement was 7.5 h, with full susceptibility results 5 h later. Antibiotic susceptibility predictions were fully concordant. A critical advantage of MinION is the ability to continue sequencing until sufficient coverage is obtained, providing a potential solution to the problem of variable amounts of M. tuberculosis DNA in direct samples.

Complete genome sequence of Kurlavirus, a novel member of the family Marseilleviridae isolated in Mumbai, India.

The complete genome sequence of Kurlavirus, a new member of the family Marseilleviridae is reported. The Kurlavirus genome was found to encode a remarkable complement of genes homologous to those of other members of the family Marseilleviridae. Interestingly, the Kurlavirus genome contains 71 fewer ORFs than that of Marseillevirus, even though their genome sizes are comparable.

Kinetics of recA and recX induction in drug-susceptible and MDR clinical strains of Mycobacterium tuberculosis.

OBJECTIVES: To investigate and compare the expression of recA and recX, components of the SOS pathway, following rifampicin treatment in drug-susceptible and MDR clinical strains of Mycobacterium tuberculosis. METHODS: Strains (M. tuberculosis and Mycobacterium smegmatis) were subjected to rifampicin- and mitomycin-induced stress for 36 h followed by RNA extraction. recA and recX in the RNA extract were estimated using qRT-PCR. RESULTS: The MDR clinical strain induced faster (24 h) and higher (7-fold) levels of recA as compared with the drug-susceptible strain (36 h) in response to rifampicin. recX levels were found to rise with an increase in levels of recA; however, the levels were relatively higher than recA. CONCLUSIONS: Drug-susceptible and MDR strains have different kinetics of induction of DNA repair.

The use and significance of a research networking system.

BACKGROUND: Universities have begun deploying public Internet systems that allow for easy search of their experts, expertise, and intellectual networks. Deployed first in biomedical schools but now being implemented more broadly, the initial motivator of these research networking systems was to enable easier identification of collaborators and enable the development of teams for research. OBJECTIVE: The intent of the study was to provide the first description of the usage of an institutional research "social networking" system or research networking system (RNS). METHODS: Number of visits, visitor location and type, referral source, depth of visit, search terms, and click paths were derived from 2.5 years of Web analytics data. Feedback from a pop-up survey presented to users over 15 months was summarized. RESULTS: RNSs automatically generate and display profiles and networks of researchers. Within 2.5 years, the RNS at the University of California, San Francisco (UCSF) achieved one-seventh of the monthly visit rate of the main longstanding university website, with an increasing trend. Visitors came from diverse locations beyond the institution. Close to 75% (74.78%, 208,304/278,570) came via a public search engine and 84.0% (210 out of a sample of 250) of these queried an individual's name that took them directly to the relevant profile page. In addition, 20.90% (214 of 1024) visits went beyond the page related to a person of interest to explore related researchers and topics through the novel and networked information provided by the tool. At the end of the period analyzed, more than 2000 visits per month traversed 5 or more links into related people and topics. One-third of visits came from returning visitors who were significantly more likely to continue to explore networked people and topics (P<.001). Responses to an online survey suggest a broad range of benefits of using the RNS in supporting the research and clinical mission. CONCLUSIONS: Returning visitors in an ever-increasing pool of visitors to an RNS are among those that display behavior consistent with using the tool to identify new collaborators or research topics. Through direct user feedback we know that some visits do result in research-enhancing outcomes, although we cannot address the scale of impact. With the rapid pace of acquiring visitors searching for individual names, the RNS is evolving into a new kind of gateway for the university.

Rapid, culture-free detection of carbapenem-resistant Klebsiella pneumoniae in a case of bloodstream infection using genomics.

Timely diagnosis and treatment of sepsis is a major challenge faced by critical care specialists around the world. The traditional blood culture methods have a significant turnaround time which delays targeted therapy leading to poor prognosis. In the current study, we highlight the clinical utility of a genomics solution for diagnosis and management of bloodstream infections by combining the real-time DNA sequencing of Oxford Nanopore Technology with an automated genomic data analysis software. We identify a carbapenem-resistant Klebsiella pneumoniae directly from a blood sample in <24 hours and thereby prove the effectiveness of the test in early diagnosis of sepsis.

Whole-genome sequencing of clinical isolates from tuberculosis patients in India: real-world data indicates a high proportion of pre-XDR cases.

Treatment decisions for tuberculosis (TB) in the absence of full drug-susceptibility data can result in amplifying resistance and may compromise treatment outcomes. Genomics of Mycobacterium tuberculosis (M.tb) from clinical samples enables detection of drug resistance to multiple drugs. We performed whole-genome sequencing (WGS) for 600 clinical samples from patients with tuberculosis to identify the drug-resistance profile and mutation spectrum. We documented the reasons reported by clinicians for referral. WGS identified a high proportion (51%) of pre-extensively drug-resistant (pre-XDR) cases followed by multidrug-resistant tuberculosis (MDR-TB) (15.5%). This correlates with the primary reason for referral, as non-response to the first-line treatment (67%) and treatment failure or rifampicin resistance (14%). Multivariate analysis indicated that all young age groups (P < 0.05), male gender (P < 0.05), and Beijing strain (P < 0.01) were significant independent predictors of MDR-TB or MDR-TB+ [pre-extensively drug-resistant tuberculosis (XDR-TB) and XDR-TB]. Ser315Thr (72.5%) in the inhA gene and Ser450Leu in the rpoB gene (65.5%) were the most prevalent mutations, as were resistance-conferring mutations to pyrazinamide (41%) and streptomycin (61.33%). Mutations outside the rifampicin resistance-determining region (RRDR), Ile491Phe and Val170Phe, were seen in 1.3% of cases; disputed mutations in rpoB (Asp435Tyr, His445Asn, His445Leu, and Leu430Pro) were seen in 6% of cases, and mutations to newer drugs such as bedaquiline and linezolid in 1.0% and 7.5% of cases, respectively. This study on clinical samples highlights that there is a high proportion of pre-XDR cases and emerging resistance to newer drugs; ongoing transmission of these strains can cause serious threat to public health; and whole-genome sequencing can effectively identify and support precision medicine for TB. IMPORTANCE: The current study is based on real-world data on the TB drug-resistance profile by whole-genome sequencing of 600 clinical samples from patients with TB in India. This study indicates the clinicians' reasons for sending samples for WGS, which is for difficult-to-treat cases and/or relapse and treatment failure. The study reports a significant proportion of cases with pre-XDR-TB strains that warrant policy makers' attention. It reflects the current iterative nature of the diagnostic tests under programmatic conditions that leads to delays in appropriate diagnosis and empirical treatment. India had an estimated burden of 2.95 million TB cases in 2020 and 135,000 multidrug-resistant cases. However, WGS profiles of M.tb from India remains disproportionately poorly represented. This study adds a significant body of data on the mutation profiles seen in M.tb isolated from patients with TB in India, mutations outside the RRDR, disputed mutations, and resistance-conferring mutations to newer drugs such as bedaquiline and linezolid.

Genomic revolution: Transforming tuberculosis diagnosis and treatment with the use of Whole Genome Sequencing - A consensus statement.

Tuberculosis (TB) is a preventable, treatable, and curable disease. However, in 2020, 9∙9 million people were estimated to have developed tuberculosis, and 1.5 million people were estimated to have died from it. Whereas in India, 2.6 million were diagnosed with TB and 436,000 succumbed to TB in 2019. India (26%) is the major contributor to the global drop in TB cases. The COVID-19 pandemic has substantially reduced access to services for the diagnosis and treatment of TB, resulting in an increase in deaths and a reversal in global progress. [1] Presently, TB incidence is falling at a rate of 2% per year, obstructed mainly by the rearing pandemic of drug-resistant tuberculosis (DRTB). Particularly concerning is multi-drug resistant TB (MDRTB), defined as resistance towards isoniazid (INH) and rifampicin (RIF). [2] The World Health Organization (WHO) targeted to reduce worldwide TB incidence by 90% until 2035. (1) Early initiation of effective treatment based on susceptibility patterns of the Mycobacterium tuberculosis complex (MTBC) is considered key to successful TB control in countries with high DRTB incidence. Worldwide MDRTB treatment outcomes are poor, with cure rates less than 60% (2) due to the lack of comprehensive Drug Susceptibility Testing (DST) in most high MDRTB burden countries. This is leading to the inadequate anti-TB activity of the provided regimens (3-5), unlike regimens advised for DST assure optimal results. (6) In addition to resistances to the established regimens, the resistance to the newer DRTB drugs is increasing. On World TB Day 2022, Academy of Advanced Medical Education, Thyrocare Technologies Limited and HyastackAnalytics - IITB along with expert pulmonologist and renowned physicians from India convened for an advisory board meeting in Delhi on 20th March 2022 to discuss the role of Whole Genome Sequencing (WGS) in the diagnosis and management of TB. Objectives and specific topics relating to WGS in MDRTB were discussed, each expert shared their views, which led to a group discussion with a commitment to putting the patient first, and increasing their collective efforts, the organizations recognized that it is possible to make this goal a reality. The organizations involved in the discussion have declared their commitment to engaging in collaborative efforts to tackle DRTB detection efficiently. They advocate for strengthening access to WGS TB services, controlling and preventing TB, improving surveillance and drug resistance management, and investing in research and development. This Round Table serves as a framework to build on and ensure that the goal of ending TB is achievable with WGS services wherever needed. Post discussion, a uniform consensus was said to be arrived if more than 80% board members agreed to the statement. The present paper is the outcome of aspects presented and discussed in the advisory board meeting.

Whole-genome sequencing of presumptive MDR-TB isolates from a tertiary healthcare setting in Mumbai.

OBJECTIVES: Whole-genome sequencing (WGS) of Mycobacterium tuberculosis (MTB), proven to be a better alternative when compared with the combined sensitivity and specificity of all other modalities for diagnosis of tuberculosis (TB), aids epidemiological surveillance investigations by combining the current research with diagnostics. This study was conducted to identify and resolve operational challenges in performing WGS-based drug resistance testing (DRT) for MTB in a TB culture and drug susceptibility testing (DST) laboratory. Three critical, non-redundant steps for WGS-based DRT were tested: viz. DNA extraction, high-throughput paired-end next-generation sequencing (NGS), and genomic analysis pipeline for automated reporting of WGS-based DRT. METHODS: DNA was extracted from 100 liquid culture isolates on a mycobacterial growth indicator tube (MGIT) using DNEASY Ultraclean Microbial Kit (Qiagen, USA) as per the manufacturer's instructions. Illumina paired-end sequencing was performed. All analysis steps were automated using custom python scripts, requiring no intervention. Variant calling was performed as per the World Health Organization (WHO) technical guide. RESULTS: The number of cultures resistant to rifampicin, isoniazid, pyrazinamide, ethambutol, and streptomycin was 89, 88, 35, 67, and 73, respectively. Resistance to amikacin, kanamycin, and capreomycin was found in 15, 17, and 15 cultures, respectively. Seventy cultures were resistant to fluoroquinolones, four were resistant to ethionamide, and 12 were resistant to linezolid. Six cultures were resistant to only one of the 18 drugs tested. Seventy-five cultures were resistant to more than three anti-TB drugs. One culture was resistant to 13 of the 18 anti-TB drugs tested for this study. The maximum number of variants were observed in the rpoB gene (n = 93, 93%), wherein the Ser450Leu was the predominant mutation (n = 68, 73%). Ser315Thr was the most common variant (n = 86, 97%) that encoded resistance to isoniazid. The Lys43Arg variant encodes resistance to streptomycin and was the third most predominant variant (n = 65, 89%). In addition to the high levels of resistance observed in the dataset, we also observed a high proportion of Beijing strains (n = 63, 63%). CONCLUSION: Compared with results from routine diagnostics based on the 'Guidelines on Programmatic Management of Drug-Resistant TB (PMDT) in India', none of the samples had DST available for all 18 drugs. This represents a gap in PMDT guidelines. The WGS-DRT must be considered as the primary DST method after a sample is flagged rifampicin-resistant by cartridge-based nucleic acid amplification testing (CBNAAT). With several research studies currently underway globally to identify novel variants associated with drug resistance and classifiy their minimum inhibitory coefficients, WGS-DRT presents a scalable technology that updates analytical pipelines, relegating the need for changing microbiological protocols.

Risk factors associated with MDR-TB at the onset of therapy among new cases registered with the RNTCP in Mumbai, India.

BACKGROUND: Multidrug - resistant TB (MDR - TB) has emerged as a major threat to global TB control efforts in recent years. Facilities for its diagnosis and treatment are limited in many high - burden countries, including India. In hyper - endemic areas like Mumbai, screening for newly diagnosed cases at a higher risk of acquiring MDR - TB is necessary, for initiating appropriate and timely treatment, to prevent its further spread. OBJECTIVE: To assess risk factors associated with MDR - TB among Category I, new sputum smear-positive cases, at the onset of therapy. MATERIALS AND METHODS: The study applied an unmatched case - control design for 514 patients (106 cases with MDR - TB strains and 408 controls with non - MDR - TB strains). The patients were registered with the Revised National Tuberculosis Control Program (RNTCP) in four selected wards of Mumbai during April 2004 - January 2007. Data were collected through semi - structured interviews and drug susceptibility test results. RESULTS: Multivariate analysis indicated that infection with the Beijing strain (OR = 3.06; 95% C.I. = 1.12 - 8.38; P = 0.029) and female gender (OR = 1.68; 95% C.I. = 1.02 - 2.87; P = 0.042) were significant predictors of MDR-TB at the onset of therapy. CONCLUSION: The study provides a starting point to further examine the usefulness of these risk factors as screening tools in identifying individuals with MDR-TB, in settings where diagnostic and treatment facilities for MDR-TB are limited.

The coevolution of large and small terminases of bacteriophages is a result of purifying selection leading to phenotypic stabilization.

Genome packaging in many dsDNA phages requires a series of precisely coordinated actions of two phage-coded proteins, namely, large terminase (TerL) and small terminase (TerS) with DNA and ATP, and with each other. Despite the strict functional conservation, TerL and TerS homologs exhibit large sequence variations. We investigated the sequence variability across eight phage types and observed a coevolutionary framework wherein the genealogy of TerL homologs mirrored that of the corresponding TerS homologs. Furthermore, a high purifying selection observed (dN/dS«1) indicated strong structural constraints on both TerL and TerS, and identify coevolving residues in TerL and TerS of phage T4 and lambda. Using the highly coevolving (correlation coefficient of 0.99) TerL and TerS of phage N4, we show that their biochemical features are similar to the phylogenetically divergent phage λ terminases. We also demonstrate using the Surface Plasma Resonance (SPR) technique that phage N4 TerL transiently interacts with TerS.

Strains of Mycobacterium tuberculosis from western Maharashtra, India, exhibit a high degree of diversity and strain-specific associations with drug resistance, cavitary disease, and treatment failure.

We performed spoligotyping of Mycobacterium tuberculosis isolates from 833 systematically sampled pulmonary tuberculosis (TB) patients in urban Mumbai, India (723 patients), and adjacent rural areas in western India (110 patients). The urban cohort consisted of two groups of patients, new cases (646 patients) and first-time treatment failures (77 patients), while only new cases were recruited in the rural areas. The isolates from urban new cases showed 71% clustering, with 168 Manu1, 62 CAS, 22 Beijing, and 30 EAI-5 isolates. The isolates from first-time treatment failures were 69% clustered, with 14 Manu1, 8 CAS, 8 Beijing, and 6 EAI-5 isolates. The proportion of Beijing strains was higher in this group than in urban new cases (odds ratio [OR], 3.29; 95% confidence limit [95% CL], 1.29 to 8.14; P = 0.003). The isolates from rural new cases showed 69% clustering, with 38 Manu1, 7 CAS, and 1 EAI-5 isolate. Beijing was absent in the rural cohort. Manu1 was found to be more common in the rural cohort (OR, 0.67; 95% CL, 0.42 to 1.05; P = 0.06). In total, 71% of isolates were clustered into 58 spoligotypes with 4 predominant strains, Manu1 (26%), CAS (9%), EAI-5 (4%), and Beijing (4%), along with 246 unique spoligotypes. In the isolates from urban new cases, we found Beijing to be associated with multidrug resistance (MDR) (OR, 3.40; 95% CL, 1.20 to 9.62; P = 0.02). CAS was found to be associated with pansensitivity (OR, 1.83; 95% CL, 1.03 to 3.24; P = 0.03) and cavities as seen on chest radiographs (OR, 2.72; 95% CL, 1.34 to 5.53; P = 0.006). We recorded 239 new spoligotypes yet unreported in the global databases, suggesting that the local TB strains exhibit a high degree of diversity.

Upregulation of miR-101 during Influenza A Virus Infection Abrogates Viral Life Cycle by Targeting mTOR Pathway.

Micro RNAs (miRNAs) are a class of small non-coding single-stranded RNA, which play an important role in modulating host-Influenza A virus (IAV) crosstalk. The interplay between influenza and miRNA interaction is defined by a plethora of complex mechanisms, which are not fully understood yet. Here, we demonstrate that in IAV infected A549 cells, a synchronous increase was observed in the expression of mTOR up to 24 hpi and significant downregulation at 48 hpi. Additionally, NP of IAV interacts with mTOR and modulates the levels of mTOR mRNA and protein, thus regulating the translation of host cell. RNA sequencing and qPCR analysis of IAV-infected A549 cells and NP transfected cells revealed that miR-101 downregulates mTOR transcripts at later stages of infection. Ectopic expression of miR-101 mimic led to a decrease in expression of NP, a reduction in IAV titer and replication. Moreover, treatment of the cells with Everolimus, a potent inhibitor of mTOR, resulted in an increase of miR-101 transcript levels, which further suppressed the viral protein synthesis. Collectively, the data suggest a novel mechanism that IAV stimulates mTOR pathway at early stages of infection; however, at a later time-point, positive regulation of miR-101 restrains the mTOR expression, and hence, the viral propagation.

Genomic and metagenomic signatures of giant viruses are ubiquitous in water samples from sewage, inland lake, waste water treatment plant, and municipal water supply in Mumbai, India.

We report the detection of genomic signatures of giant viruses (GVs) in the metagenomes of three environment samples from Mumbai, India, namely, a pre-filter of a household water purifier, a sludge sample from wastewater treatment plant (WWTP), and a drying bed sample of the same WWTP. The de novo assembled contigs of each sample yielded 700 to 2000 maximum unique matches with the GV genomic database. In all three samples, the maximum number of reads aligned to Pandoraviridae, followed by Phycodnaviridae, Mimiviridae, Iridoviridae, and other Megaviruses. We also isolated GVs from every environmental sample (n = 20) we tested using co-culture of the sample with Acanthomoeba castellanii. From this, four randomly selected GVs were subjected to the genomic characterization that showed remarkable cladistic homology with the three GV families viz., Mimivirirdae (Mimivirus Bombay [MVB]), Megaviruses (Powai lake megavirus [PLMV] and Bandra megavius [BAV]), and Marseilleviridae (Kurlavirus [KV]). All 4 isolates exhibited remarkable genomic identity with respective GV families. Functionally, the genomes were indistinguishable from other previously reported GVs, encoding nearly all COGs across extant family members. Further, the uncanny genomic homogeneity exhibited by individual GV families across distant geographies indicate their yet to be ascertained ecological significance.

The number of genes encoding repeat domain-containing proteins positively correlates with genome size in amoebal giant viruses.

Curiously, in viruses, the virion volume appears to be predominantly driven by genome length rather than the number of proteins it encodes or geometric constraints. With their large genome and giant particle size, amoebal viruses (AVs) are ideally suited to study the relationship between genome and virion size and explore the role of genome plasticity in their evolutionary success. Different genomic regions of AVs exhibit distinct genealogies. Although the vertically transferred core genes and their functions are universally conserved across the nucleocytoplasmic large DNA virus (NCLDV) families and are essential for their replication, the horizontally acquired genes are variable across families and are lineage-specific. When compared with other giant virus families, we observed a near-linear increase in the number of genes encoding repeat domain-containing proteins (RDCPs) with the increase in the genome size of AVs. From what is known about the functions of RDCPs in bacteria and eukaryotes and their prevalence in the AV genomes, we envisage important roles for RDCPs in the life cycle of AVs, their genome expansion, and plasticity. This observation also supports the evolution of AVs from a smaller viral ancestor by the acquisition of diverse gene families from the environment including RDCPs that might have helped in host adaption.

Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis.

To characterize the genetic determinants of resistance to antituberculosis drugs, we performed a genome-wide association study (GWAS) of 6,465 Mycobacterium tuberculosis clinical isolates from more than 30 countries. A GWAS approach within a mixed-regression framework was followed by a phylogenetics-based test for independent mutations. In addition to mutations in established and recently described resistance-associated genes, novel mutations were discovered for resistance to cycloserine, ethionamide and para-aminosalicylic acid. The capacity to detect mutations associated with resistance to ethionamide, pyrazinamide, capreomycin, cycloserine and para-aminosalicylic acid was enhanced by inclusion of insertions and deletions. Odds ratios for mutations within candidate genes were found to reflect levels of resistance. New epistatic relationships between candidate drug-resistance-associated genes were identified. Findings also suggest the involvement of efflux pumps (drrA and Rv2688c) in the emergence of resistance. This study will inform the design of new diagnostic tests and expedite the investigation of resistance and compensatory epistatic mechanisms.

Author Correction: Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis.

In the version of this article initially published, the URL listed for TubercuList was incorrect. The correct URL is https://mycobrowser.epfl.ch/. The error has been corrected in the HTML and PDF versions of the article.