Biology subjects

Singh, A.

Publications and source records attributed to Singh, A..

At least 649 records · Page 36Linked to original sources

bioRxiv2019

Mixture distributions in a stochastic gene expression model with delayed feedback

Noise in gene expression can be substantively affected by the presence of production delay. Here we consider a mathematical model with bursty production of protein, a one-step production delay (the passage of which activates the protein), and feedback in the frequency of bursts. We specifically focus on examining the steady-state behaviour of the model in the slow-activation (i.e. large-delay) regime. Using a quasi-steady-state (QSS) approximation, we derive an autonomous ordinary differential equation for the inactive protein that applies in the slow-activation regime. If the differential equation is monostable, the steady-state distribution of the inactive (active) protein is approximated by a single Gaussian (Poisson) mode located at the globally stable steady state of the differential equation. If the differential equation is bistable (due to cooperative positive feedback), the steady-state distribution of the inactive (active) protein is approximated by a mixture of Gaussian (Poisson) modes located at the stable steady states; the weights of the modes are determined from a WKB approximation to the stationary distribution. The asymptotic results are compared to numerical solutions of the chemical master equation.

systems biology↗

bioRxiv2019

Predictive Coding Models for Pain Perception

Pain is a complex, multidimensional experience that involves dynamic interactions between sensory-discriminative and affective-emotional processes. Pain experiences have a high degree of variability depending on their context and prior anticipation. Viewing pain perception as a perceptual inference problem, we propose a predictive coding paradigm to characterize evoked and non-evoked pain. We record the local field potentials (LFPs) from the primary somatosensory cortex (S1) and the anterior cingulate cortex (ACC) of freely behaving rats--two regions known to encode the sensory-discriminative and affective-emotional aspects of pain, respectively. We further use predictive coding to investigate the temporal coordination of oscillatory activity between the S1 and ACC. Specifically, we develop a phenomenological predictive coding model to describe the macroscopic dynamics of bottom-up and top-down activity. Supported by recent experimental data, we also develop a biophysical neural mass model to describe the mesoscopic neural dynamics in the S1 and ACC populations, in both naive and chronic pain-treated animals. Our proposed predictive coding models not only replicate important experimental findings, but also provide new prediction about the impact of the model parameters on the physiological or behavioral read-out--thereby yielding mechanistic insight into the uncertainty of expectation, placebo or nocebo effect, and chronic pain.

neuroscience↗

bioRxiv2019

Robust lysosomal rewiring in Mtb infected macrophages mediated by Mtb lipids restricts the intracellular bacterial survival

Intracellular pathogens commonly manipulate the host lysosomal system for their survival, however whether this affects the organization and functioning of the lysosomal system itself is not known. Here, we show using in vitro and in vivo infections that the lysosomal content and activity is globally elevated in M. tuberculosis infected macrophages. The enhanced lysosomal state is sustained over time and defines an adaptive homeostasis of the infected cell. Lysosomal alterations are caused by mycobacterial surface components, notably the cell wall lipid SL-1, which functions through the mTORC1-TFEB axis. Mtb mutant defective for SL-1 levels shows reduced lysosomal content and activity compared to wild type. Importantly, this phenotype is conserved during in vivo infection. The alteration in lysosomal phenotype in mutant Mtb lead to decreased lysosomal delivery of Mtb, and importantly, increased survival of intracellular Mtb. These results define the global alterations in the host lysosomal system as a crucial distinguishing feature of Mtb infected macrophages that is host protective and contribute to the containment of the pathogen.

cell biology↗

bioRxiv2019

Effective downregulation of BCR-ABL tumorigenicity by RNA targeted CRISPR-Cas13a

AimTo induce BCR-ABL gene silencing using CRISPR Cas13a. BackgroundCML is a clonal myeloproliferative disorder of pluripotent stem cells driven by a reciprocal translocation between chromosome 9 and 22, forming a BCR-ABL fusion gene. Tyrosinekinase inhibitor drugs like imatinib are the mainstay of treatment and cases resistant to these drugs have a poor prognosis in the absence of a compatible stem-cell donor. However, with rapid advancements in gene-editing technologies, most studies are now focusing on developing a translational model targeting single-gene disorders with a prospective permanent cure. ObjectiveTo explore the potential application of the RNA targeting CRISPR-Cas13a system for effective knockdown of BCR-ABL fusion transcript in a CML cell line, K562. MethodCRISPR Cas13a crRNA was designed specific to the chimeric BCR-ABL gene and the system was transfected as a two-plasmid system into a CML cell line, K562. The effects were enumerated by evaluating the expression levels of downstream genes dependent on the expression of the BCR-ABL gene. Also, next-generation sequencing was used to ascertain the effects of CRISPR on the gene. ResultsThe CRISPR system was successfully able to lower the expression of downstream genes (pCRKL and pCRK) dependent on the activated BCR-ABL kinase signal by up-to 4.3 folds. The viability of the CRISPR treated cells were also significantly lowered by 373.83-fold (p-value= 0.000891196). The time-dependent kinetics also highlighted the significant in-vitro suppressive activity to last up to 8 weeks (p-value: 0.025). As per the cDNA sequencing data from Oxford MinION next-generation sequencer, the CRISPR treated cells show 62.37% suspected cleaved reads. ConclusionThese preliminary results highlight an excellent potential application of RNA targeting CRISPRs in Haematological neoplasms like CML and should pave way for further research in this direction.

molecular biology↗

bioRxiv2019

CXCR4 intracellular protein regulates drug resistance and tumorigenic potential via modulating the expression of Death Receptor 5

CXCR4 overexpression in solid tumors has been strongly associated with poor prognosis and adverse clinical outcome. However, CXCR4 signaling inhibitor drug Plerixafor has shown limited clinical success in cancer treatment. Therefore, CXCR4 signaling may not be the exclusive contributor to its pro-tumorigenic functions. In our continuous effort to understand the chemokine receptor signaling inhibition as cancer therapy, here we unexpectedly discovered that instead of its signaling, intracellular CXCR4 protein augments therapy resistance and pro-tumorigenic functions. Unbiased proteome profiler apoptosis array followed by immunoblot, FACS, real-time PCR and ChIP analyses demonstrate that CXCR4 promotes DR5 downregulation via modulating differential recruitment of transcription factors p53 and YY1 to its promoter. Surprisingly, inhibiting CXCR4 mediated signals failed to block the above phenotype. Irrespective of CXCR4 surface expression, its loss compromised colon tumor growth in vivo. Finally, TCGA data mining and human patient sample data analysis showed CXCR4 and DR5 are inversely regulated in human cancers. Together, we showed evidence for the first time that targeting CXCR4 intracellular protein may be critical to dampen the pro-tumorigenic functions of CXCR4.

cancer biology↗

bioRxiv2019

Microfluidic removal of teratoma-forming cells from hiPSC-derived Neural Progenitor Cells

Teratoma formation remains a safety concern in therapeutic cells derived from human-induced pluripotent stem cells (hiPSCs). Residual Teratoma forming cells are present in small numbers in differentiated hiPSC cultures and yet are of significant roadblock to the manufacturing and clinical translation of stem cell therapies. Rare cells are often difficult to remove with standard flow cytometry or magnetic bead sorting techniques. Here, we first characterized time-dependent expression of a teratoma marker, stage-specific embryonic antigen (SSEA)-5, which binds the H type-1 glycan during neural differentiation of hiPSCs. We engineered a microfluidic geometrically enhanced differential immunocapture (GEDI) technology to remove SSEA-5+ rare cells from hiPSC-derived neural progenitor cells (hiPSC-NPCs). The GEDI chip presents a facile tool to potentially functionalize with multiple antibodies and robustly enhance hiPSC-derived cell population safety prior to therapeutic transplantation. The approach is potentially amenable to generate a wide variety of high-quality therapeutic cells and can be integrated within the pipeline of cell manufacturing to improve patient safety and reduce the cost of manufacturing through early removal of undesirable cell types.

developmental biology↗

bioRxiv2019

Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield of disease-associated regulatory SNPs

BackgroundMapping of allele-specific DNA methylation (ASM) can be a post-GWAS strategy for localizing regulatory sequence polymorphisms (rSNPs). However, the advantages of this approach, and the mechanisms underlying ASM in normal and neoplastic cells, remain to be clarified. ResultsWe performed whole genome methyl-seq on diverse normal cells and tissues and three types of cancers (multiple myeloma, lymphoma, glioblastoma multiforme). After excluding imprinting, the data pinpointed 15,114 high-confidence ASM differentially methylated regions (DMRs), of which 1,842 contained SNPs in strong linkage disequilibrium or coinciding with GWAS peaks. ASM frequencies were increased 5 to 9-fold in cancers vs. matched normal tissues, due to widespread allele-specific hypomethylation and focal allele-specific hypermethylation in poised chromatin. Cancers showed increased allele switching at ASM loci, but disruptive SNPs in specific classes of CTCF and transcription factor (TF) binding motifs were similarly correlated with ASM in cancer and non-cancer. Rare somatic mutations affecting these same motif classes tracked with de novo ASM in the cancers. Allele-specific TF binding from ChIP-seq was enriched among ASM loci, but most ASM DMRs lacked such annotations, and some were found in otherwise uninformative "chromatin deserts". ConclusionsASM is increased in cancers but occurs by a shared mechanism involving disruptive SNPs in CTCF and TF binding sites in both normal and neoplastic cells. Dense ASM mapping in normal plus cancer samples reveals candidate rSNPs that are difficult to find by other approaches. Together with GWAS data, these rSNPs can nominate specific transcriptional pathways in susceptibility to autoimmune, neuropsychiatric, and neoplastic diseases. Custom genome browser tracks with annotated ASM loci can be viewed at a UCSC browser session hosted by our laboratory (https://bit.ly/tycko-asm)

genomics↗

bioRxiv2019

Global Transcriptome Characterization and Assembly of Thermophilic Ascomycete Chaetomium thermophilum

A correct genome annotation is fundamental for research in the field of molecular and structural biology. The annotation of the reference genome Chaetomium thermophilum has been reported previously, but it is limited to open reading frames (ORFs) of genes and contains only a few noncoding transcripts. In this study, we identified and annotated by deep RNA sequencing full-length transcripts of C.thermophilum. We annotated 7044 coding genes and a large number of noncoding genes (n=4567). Astonishingly, 23% of the coding genes are alternatively spliced. We identified 679 novel coding genes and corrected the structural organization of more than 50% of the previously annotated genes. Furthermore, we substantially extended the Gene Ontology (GO) and Enzyme Commission (EC) lists, which provide comprehensive search tools for potential industrial applications and basic research. The identified novel transcripts and improved annotation will help understanding the gene regulatory landscape in C.thermophilum. The analysis pipeline developed here can be used to build transcriptome assemblies and identify coding and noncoding RNAs of other species. The R packages for gene and GO annotation database can be found under https://www.bzh.uni-heidelberg.de/brunner/Chaetomium_thermophilum.

bioinformatics↗

bioRxiv2019

Targeting AGTR1/NF-κB /CXCR4 axis by miR-155 attenuates oncogenesis in Glioblastoma

Glioblastoma (GBM) represents the most aggressive malignancy of the brain. Angiotensin II Receptor Type 1 (AGTR1) upregulation has been associated with proliferative and infiltrative properties of glioma cells. However, the underlying mechanism of AGTR1 upregulation in GBM is still unexplored. To understand the post-transcriptional regulation of AGTR1 in GBM, we screened 3untranslated region (3UTR) of AGTR1 by using prediction algorithms for binding of miRNA. Interestingly, miR-155 showed conserved binding on the 3UTR of AGTR1, subsequently confirmed by AGTR1-3UTR-luciferase reporter assay. Furthermore, stable miR-155 overexpressing GBM cells show decrease in AGTR1-mediated cell proliferation, invasion, foci formation and anchorage-independent growth. Strikingly, immunodeficient mice implanted with stable miR-155 overexpressing SNB19 cells show remarkable reduction ([~]95%) in tumor burden compared to control. Notably, miR-155 attenuates NF-{kappa}B signaling downstream of AGTR1 leading to reduced CXCR4 and AGTR1 levels. Mechanistically, miR-155 mitigates AGTR1-mediated, angiogenesis, epithelial-to-mesenchymal transition, stemness, ERK/MAPK signaling and promotes apoptosis. Similar effects in cell-based assays were observed by using pharmacological inhibitor of I{kappa}B Kinase (IKK) complex. Taken together, we established that miRNA-155 post-transcriptionally regulates AGTR1 expression, abrogates AGTR1/NF-{kappa}B/CXCR4 signaling axis and elicits pleiotropic anticancer effects. This study opens new avenues for using IKK inhibitors and miRNA-155 replacement therapies for the treatment of AGTR1-positive malignancies.

cancer biology↗

bioRxiv2019

An aphid host-responsive RNA transcript that migrates systemically in plants promotes aphid reproduction

Aphids are sap-feeding insects that colonize a broad range of plant species and often cause feeding damage and transmit plant pathogens, including bacteria, viruses and viroids. These insects feed from the plant vascular tissue, predominantly the phloem. However, it remains largely unknown how aphids, and other sap-feeding insects, establish intimate long-term interactions with plants. To identify aphid virulence factors, we took advantage of the ability of the green peach aphid Myzus persicae to colonize divergent plant species. We found that a M. persicae clone of near-identical females establishes stable colonies on nine plant species of five representative plant eudicot and monocot families that span the angiosperm phylogeny. Members of the novel aphid Ya family are differentially expressed in aphids on the nine plant species, are co-regulated and organized as tandem repeats in aphid genomes. Interestingly, aphids translocate Ya transcripts into plants and some transcripts migrate systemically within several plant species. RNAi-mediated knock down of Ya genes reduces M. persicae fecundity and M. persicae produces more progeny on transgenic plants that heterologously produce one of the systemically migrating Ya transcripts as a long non-coding (lnc)RNA. Taken together, our work led to the discovery of a new host-responsive aphid gene family that operate as virulence factors. Transcripts of this family translocate into plants, including a lncRNA that migrates systemically and promotes aphid reproduction.\n\nSignificance StatementThe green peach aphid Myzus persicae causes yield losses of a diverse range of economically important crops primarily as a vector of more than 100 different plant pathogens. We found that a single genotype of M. persicae is able to colonize nine plant species, including diverse dicots and maize, indicating that this aphid is truly polyphagous. Members of a new aphid Ya family undergoes coordinated expression changes in M. persicae depending on the plant species. The aphids translocate Ya transcripts into plants during feeding and these RNAs migrate to systemic leaves. Moreover, heterologous in planta expression of M. persicae Ya1 as a long non-coding RNA promotes aphid reproduction. Our findings indicate that cross kingdom deployment of RNA is more common than thought.

genomics↗

bioRxiv2019

Channel Capacity Computations for Unregulated and Autoregulated Gene Expression

How living cells can reliably process biochemical cues in the presence of molecular noise is not fully understood. Here we investigate the fidelity of information transfer in the expression of a single gene. We use the established model of gene expression to examine how precisely the protein levels can be controlled by two distinct mechanisms: (i) the transcription rate of the gene, or (ii) the translation rate for the corresponding mRNA. The fidelity of gene expression is quantified with the information-theoretic notion of information capacity. Derived information capacity formulae reveal that transcriptional control generally provides a tangibly higher capacity as compared to the translational control. We next introduce negative feedback regulation in gene expression, where the protein directly inhibits its own transcription. While negative feedback reduces noise in the level of the protein for a given input signal, it also decreases the input-to-output sensitivity. Our results show that the combined effect of these two opposing forces is a reduced capacity in the presence of feedback. In summary, our analysis presents the first analytical quantification of information transfer in simple gene expression models, which provides insight into the fidelity of basic gene expression control mechanisms.

systems biology↗

bioRxiv2019

Mitogen-independent cell cycle progression in B lymphocytes

The canonical view of the cell cycle posits that G1 progression signals are essential after each mitosis to enter S phase. A subset of tumor cells bypass this requirement and progress to the next cell division in the absence of continued signaling. B and T lymphocytes of the adaptive immune system undergo a proliferative burst, termed clonal expansion, to generate pools of antigen specific cells for effective immunity. There is evidence that rules for lymphocyte cell division digress from the canonical model. Here we show that B lymphocytes sustain several rounds of mitogen-independent cell division following the first mitosis. Such division is driven by unique characteristics of the post mitotic G1 phase and limited by extensive cell death that can be circumvented by appropriate anti-apoptotic signals. An essential component for continued cell division is Birc5 (survivin), a protein associated with chromosome segregation in G2/M. Our observation provides direct evidence for Pardees hypothesis that retention of features of G2M in post-mitotic cells could trigger further cell cycle progression. The partially active G1 phase and propensity for apoptosis that is inherited after each division may permit rapid burst of proliferation and cell death that are hallmarks of immune responses.

cell biology↗

bioRxiv2019

Optimal bang--bang feedback for bursty gene expression

Stochasticity in gene expression poses a critical challenge to the precise control of cellular function. In this paper we examine how precisely can a stochastically expressed protein attain a given target expression level. We consider a protein which is produced in bursts and which is able to control its expression via a negative feedback loop; we specifically focus on feedback of a bang-bang type which turns off the production of the protein whenever its concentration exceeds a given threshold. Using a piecewise deterministic mathematical formalism, we derive explicit expressions for the probabilistic distribution of the protein concentration, and for the mean square deviation from the target level. Employing a combination of analytic and numerical optimization, we identify the optimal value of the bang-bang threshold, in terms of minimising the deviation, and examine the dependence of the optimal value on the target level and the sub-threshold burst frequency. The systematic analysis allows us to formulate a number of quantitative and qualitative conclusions about the controllability of burst like gene expression. Finally, we outline directions for future research into the topic.

systems biology↗

bioRxiv2019

Stochastic delays suppress noise in a genetic circuit with negative feedback

We consider a mechanistic stochastic model of an autoregulatory genetic circuit with time delays. More specifically, a protein is expressed in random bursts from its corresponding gene. The synthesized protein is initially inactive and becomes active after a time delay. Rather than considering a deterministic delay, a key aspect of this work is to incorporate stochastic time delays, where delay is an independent and identically distributed random variable. The active protein inhibits its own production creating a negative feedback loop. Our analysis reveals that for an exponentially-distributed time delay, the noise in the protein levels decreases to the Poisson limit with increasing mean time delay. Interesting, for a gamma-distributed time delay contrasting noise behaviors emerge based on the negative feedback strength. At low feedback strengths the protein noise levels monotonically decreases to the Poisson limit with increasing average delay. At intermediate feedback strengths, the noise levels first increase to reach a maximum, and then decease back to the Poisson limit with increasing average delay. Finally, for strong feedbacks the protein noise levels monotonically increase with the average delay. For each of these scenarios we provide approximate analytical formulas for the protein mean and noises levels, and validate these results by performing exact Monte Carlo simulations. In conclusion, our results uncover a counter intuitive feature where inclusion of stochastic delays in a negative feedback circuit can play a beneficial role in buffering deleterious fluctuations in the level of a protein.

systems biology↗

bioRxiv2019

Loss of dop-2 causes increased dopamine release and locomotory defects in the presence of ethanol

Ethanol is a widely used drug, excessive consumption of which could lead to medical conditions with diverse symptoms. Ethanol abuse causes disinhibition of memory, attention, speech and locomotion across species. Dopamine signaling plays an essential role in ethanol dependent behaviors in animals ranging from C. elegans to humans. We devised an ethanol dependent assay in which mutants in the dopamine autoreceptor, dop-2, displayed a unique sedative locomotory behavior causing the animals to move in circles while dragging the posterior half of their body. We identify the posterior dopaminergic sensory neuron as being essential to modulate this behavior. We further demonstrate that in dop-2 mutants, ethanol exposure increases dopamine secretion and results in enhanced function of the DVA interneuron. DVA releases the neuropeptide NLP-12 and leads to the excitation of cholinergic motor neurons that affect movement. Thus, DOP-2 modulates dopamine levels at the synapse and regulates alcohol induced movement through NLP-12.

neuroscience↗

bioRxiv2019

A bestiary of genetic mouse lines and related tools for inducible and reversible intersectional misexpression

Thanks to many advances in genetic manipulation, mouse models have become very powerful in their ability to interrogate biological processes. In order to precisely target expression of a gene of interest to particular cell types, intersectional genetic approaches utilizing two promoter/enhancers unique to a cell type are ideal. Within these methodologies, variants that add temporal control of gene expression are the most powerful. We describe the development, validation and application of an intersectional approach that involves three transgenes, requiring the intersection of two promoter/enhancers to target gene expression to precise cell types. Furthermore, the approach utilizes available lines expressing tTA/rTA to control timing of gene expression based on whether doxycycline is absent or present, respectively. We also show that the approach can be extended to other animal models, using chicken embryos. We generated three mouse lines targeted at the Tigre (Igs7) locus with TRE-loxP-tdTomato-loxP upstream of three genes (p21, DTA and Ctgf) and combined them with Cre and tTA/rtTA lines that target expression to the cerebellum and limbs. Our tools will facilitate unraveling biological questions in multiple fields and organisms. Summary statementAhmadzadeh et al. present a collection of four mouse lines and genetic tools for misexpression-mediated manipulation of cellular activity with high spatiotemporal control, in a reversible manner.

molecular biology↗

bioRxiv2019

Anatomical features, efficient photosystem, and Rubisco activity contribute to high leaf photosynthesis in wild rice

The importance of increasing photosynthetic efficiency for sustainable crop yield increases to feed the growing world population is well recognized. The natural genetic variation for leaf photosynthesis in crop plants is largely unexploited for increasing genetic yield potential. The genus Oryza, including cultivated rice and wild relatives, offers tremendous genetic variability to explore photosynthetic differences, and underlying biochemical, photochemical, and developmental bases. We quantified leaf photosynthesis and related physiological parameters for six cultivated and three wild rice genotypes, and identified photosynthetically efficient wild rice accessions. Fitting A/Ci curves and biochemical analyses showed that the leaf photosynthesis in cultivated rice varieties, IR64 and Nipponbare, was limited due to leaf nitrogen content, Rubisco activity, and electron transport rate compared to photosynthetically efficient accessions of wild rice Oryza australiensis and Oryza latifolia. The selected wild rice accessions with high leaf photosynthesis per unit area had striking anatomical features, such as larger mesophyll cells with more chloroplasts, fewer mesophyll cells between two consecutive veins, and higher mesophyll cell and chloroplast surface area exposed to intercellular space. Our results show the existence of desirable variations in Rubisco activity, electron transport rate, and leaf anatomical features in the rice system itself that could be targeted for increasing the photosynthetic efficiency of cultivated rice varieties. HighlightDistinct leaf biochemical, photochemical, and developmental features contribute to efficient photosynthesis in the selected wild rice accessions that could potentially be exploited to increase rice leaf photosynthesis.

plant biology↗

bioRxiv2019

Mycobacterium riyadhense clinical isolates provide insights into ancestry and adaptive evolution in tuberculosis

Current evolutionary scenarios posit the emergence of Mycobacterium tuberculosis, the deadliest bacterial pathogen for humans globally, from an environmental saprophyte through a cumulative process of genome adaptation. Mycobacterium riyadhense is a novel non-tuberculous mycobacterium (NTM) that is being increasingly isolated from human clinical cases with tuberculosis (TB)-like symptoms in various parts of the world. We provide evidence here that M. riyadhense is likely a missing link in our understanding of the evolution of M. tuberculosis. To elucidate the genomic hallmarks that define the evolutionary relationship between M. riyadhense and other mycobacterial species, including members of the Mycobacterium tuberculosis complex (MTBC), eight clinical isolates of M. riyadhense were sequenced and analyzed. We show, among other features, that M. riyadhense shares a large number of conserved orthologues with the MTBC; contains linear and circular plasmids carrying type IV and type VII secretion systems; and shows expansion of toxin/anti-toxin pairs. We conclude that M. riyadhense is an emerging mycobacterial pathogen that shares a common ancestor with members of the MTBC and that can serve as an experimental model to study the evolution and pathogenesis of tubercle bacilli.\n\nAuthor summaryMycobacterium tuberculosis is one of the most prolific infectious killers in humans and is a member of the Mycobacterium tuberculosis complex (MTBC) - a group of genetically related pathogens that cause tuberculosis (TB) in mammalian species. It is postulated that MTBC has evolved from a free-living environmental ancestor into an obligate pathogen. In this evolutionary context, a comprehensive understanding of the genomic hallmarks of the free-living environmental ancestors of the MTBC is of particular scientific interest for better understanding of the evolution of the MTBC. Mycobacterium riyadhense is a novel environmental mycobacterium, first isolated in 2009 in a hospital in Riyadh, that is increasingly being isolated from clinical cases with typical tuberculosis (TB)-like symptoms in humans. In this study, we report the characterization of eight clinical isolates of M. riyadhense, compare their genomes to members of the MTBC, and provide a comprehensive insight into the adaptive changes associated with the evolution of the MTBC from environmental mycobacteria. We show that M. riyadhense is one of the closest known environmental mycobacteria related to the MTBC, and we provide several lines of molecular evidence that M. riyadhense is likely the missing link in the evolution of M. tuberculosis. It shares a common ancestor with members of the MTBC that have evolved through a process of genome reduction, expansion of toxin/antitoxin (T/A) gene systems, and ultimately host adaptation.

evolutionary biology↗