Biology subjects

Alam, I.

Publications and source records attributed to Alam, I..

9 recordsLinked to original sources

bioRxiv2024

Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI

The interdisciplinary time-series analysis literature encompasses thousands of statistical features for quantifying interpretable properties of dynamical data. But for any given application, it is likely that just a small subset of informative time-series features is required to capture the dynamical quantities of interest. So, while comprehensive libraries of time-series features have been developed, it is useful to construct reduced and computationally efficient subsets for specific applications. In this work, we demonstrate a systematic process to deduce such a reduced set, focused on the problem of distinguishing changes to functional Magnetic Resonance Imaging (fMRI) time series caused by a range of experimental manipulations of excitatory and inhibitory neural activity in mouse cortical circuits. We reduce a comprehensive library of over 7000 candidate time-series features down to a subset of 16 features, which we call catchaMouse16, that aims to both: (i) accurately characterize biologically relevant properties of fMRI time series; and (ii) minimize inter-feature redundancy. The catchaMouse16 feature set accurately classifies experimental perturbations of neuronal activity from fMRI recordings, and also shows strong generalization performance on an unseen mouse and human resting-state fMRI data where it tracks spatial variations in excitatory and inhibitory cortical cell densities, often with greater statistical power than the full hctsa feature set. We provide an efficient, open-source implementation of the catchaMouse16 feature set in C (achieving an approximately 60 times speed-up relative to the native Matlab code of the same features), with wrappers for Python and Matlab. This work demonstrates a procedure to reduce a large candidate time-series feature set down to the key statistical properties of mouse fMRI dynamics that can be used to efficiently quantify and interpret informative dynamical patterns in neural time series.

neuroscience↗

bioRxiv2024

Chromosome-scale pearl millet genomes reveal a CARLACTONOIC ACID METHYL TRANSFERASE as key determinant of strigolactone pattern and Striga susceptibility

The yield of pearl millet, a resilient cereal crop crucial for African food security, is severely impacted by the root parasitic weed Striga hermonthica, which requires host-released strigolactones (SLs) for seed germination. Herein, we identified four SLs present in the Striga-susceptible line SOSAT-C88-P10 (P10), but absent in the resistant 29Aw (Aw). We generated chromosome-scale genome assemblies including four gapless chromosomes for each line. We found the Striga-resistant Aw lacks a 0.7 Mb genome segment containing two putative CARLACTONOIC ACID METHYL TRANSFERASE1 (CLAMT1) genes. Upon transient expression, P10CLAMT1b produced methyl carlactonoate (MeCLA), an intermediate in SL biosynthesis. Feeding Aw with MeCLA resulted in the production of two P10-specific SLs. Screening a diverse pearl millet panel confirmed the pivotal role of the CLAMT1 section for SL diversity and Striga susceptibility. Our results reveal a reason for Striga susceptibility in pearl millet and pave the way for generating resistant lines through marker-assisted breeding or direct genetic modification.

plant biology↗

bioRxiv2021

Rapid Evolution of SARS-CoV-2 Challenges Human Defenses

Evolutionary ecology theory provides an avenue to anticipate the future behavior of SARS-CoV-2. Here we quantify the accelerating evolution of SARS-CoV-2 by tracking the SARS-CoV-2 mutation globally, with a focus on the Receptor Binding Domain (RBD) of the spike protein believed to determine infectivity. We estimate that 384 million people were infected by March 1st, 2021, producing up to 1021 copies of the virus, with one new RBD variant appearing for every 600,000 human infections, resulting in approximately three new effective RBD variants produced daily. Doubling the number of RBD variants every 71.67 days followed by selection of the most infective variants challenges our defenses and calls for a shift to anticipatory, rather than reactive tactics. One-Sentence SummaryAccelerating evolution of SARS-CoV-2 demands formulating universal vaccines and treatments based on big-data simulations of possible new variants.

evolutionary biology↗

bioRxiv2021

Molecular Dynamics Study on the Effects of Charged Amino Acid Distribution Under low pH Condition to the Unfolding of Hen Egg White Lysozyme and Formation of Beta Strands.

Aggregation of unfolded or misfolded proteins into amyloid fibrils can cause various diseases in humans. However, the fibrils synthesized in vitro can be developed toward useful biomaterials under some physicochemical conditions. In this study, atomistic molecular dynamics simulations were performed to address the mechanism of beta-sheet formation of the unfolded hen egg white lysozyme (HEWL) under a high temperature and low pH. Simulations of the protonated HEWL at pH 2 and the non-protonated HEWL at pH 7 were performed at the highly elevated temperature of 450 K to accelerate the unfolding, followed by the 333 K temperature in some previous in vitro studies. The simulations showed that HEWL unfolded faster and refolded into structures with higher beta-strand contents at pH 2. The mechanism of beta-strand formation at the earlier stage of amyloidosis was addressed in terms of the radial distribution of amino acids, affected by the high protonation level at a low pH.

biophysics↗

bioRxiv2020

Rapid Evolution of Plastic-degrading Enzymes Prevalent in the Global Ocean

Estimates of marine plastic stocks, a major threat to marine life (1), are far lower than expected from exponentially-increasing litter inputs, suggesting important loss factors (2, 3). These may involve microbial degradation, as the plastic-degrading polyethylene terephthalate enzyme (PETase) has been reported in marine microbial communities (4). An assessment of 416 metagenomes of planktonic communities across the global ocean identifies 68 oceanic PETase variants (oPETase) that evolved from ancestral enzymes degrading polycyclic aromatic hydrocarbons. Twenty oPETases show predicted efficiencies comparable to those of laboratory-optimized PETases, suggesting strong selective pressures directing the evolution of these enzymes. We found oPETases in 90.1% of samples across all oceans and depths, particularly abundant at 1,000 m depth, with a strong dominance of Pseudomonadales containing putative highly-efficient oPETase variants in the dark ocean. Enzymatic degradation may be removing plastic from the marine environment while providing a carbon source for bathypelagic microbial communities.

evolutionary biology↗

bioRxiv2020

Rapid tolerance to morphine in the myenteric neurons of the small intestine is independent of β-arrestin-2

Background and PurposeG-protein biased -opioid agonists against {beta}-arrestin-2 activation are being investigated to reduce adverse effects. While opioid tolerance is strongly linked to the development of dependence, there is a dissociation between the two phenomena in the gut as tolerance does not develop to opioid-induced constipation, but diarrhea still manifests upon withdrawal. Here, we investigated the mechanism by which morphine tolerance in the small intestine develops. Experimental ApproachMechanism of morphine tolerance in the small intestine was evaluated in vivo and at the neuronal level. Whole-cell patch clamp electrophysiology was used to investigate tolerance in individual ileum myenteric neurons. Rate of morphine tolerance development in the small intestine was assessed against peripheral antinociception and whole gut transit. Key ResultsTolerance develops to inhibition of small intestinal motility after one day of morphine exposure, and is more rapid compared to peripheral antinociception and constipation in chronic morphine-treated mice. Morphine tolerance was reversed by the PKC inhibitor, Tamoxifen, but not by {beta}-arrestin-2 deletion. Similarly, {beta}-arrestin-2 deletion did not prevent morphine tolerance to inhibition of neuronal excitability in ileum myenteric neurons. However, neuronal tolerance was attenuated by inhibiting PKC. Conclusions and ImplicationsUnlike antinociceptive tolerance, rapid morphine tolerance in the small intestine is independent of {beta}-arrestin-2 but is PKC-mediated. These findings reveal a potential mechanism for differences in the rates of tolerances to opioids, implicate myenteric neurons of the ileum as the primary cause for opioid-induced withdrawal effects and suggest that undesired gastrointestinal effects will persist with biased opioid agonist use. SummaryWhat is already known: O_LITolerance does not develop to chronic-opioid-induced constipation but diarrhea is produced upon withdrawal C_LIO_LINovel G-protein biased agonists that preclude {beta}-arrestin-2 activation at the -opioid receptor are in development C_LI What this study adds: O_LIMorphine tolerance in the ileum develops systemically and in individual myenteric neurons independent of {beta}-arrestin-2 C_LIO_LIMorphine tolerance in the small intestine develops before antinociception and is reversed by PKC inhibition C_LI Clinical significance: O_LIClinical use of G-protein biased opioid agonists will not prevent tolerance development in the ileum C_LIO_LITolerance in ileum myenteric neurons might be the basis of opioid-induced withdrawal in the gut C_LI

pharmacology and toxicology↗

bioRxiv2020

Functional pangenome analysis provides insights into the origin, function and pathways to therapy of SARS-CoV-2 coronavirus

The spread of the novel coronavirus (SARS-CoV-2) has triggered a global emergency, that demands urgent solutions for detection and therapy to prevent escalating health, social and economic impacts. The spike protein (S) of this virus enables binding to the human receptor ACE2, and hence presents a prime target for vaccines preventing viral entry into host cells1. The S proteins from SARS-CoV-1 and SARS-CoV-2 are similar2, but structural differences in the receptor binding domain (RBD) preclude the use of SARS-CoV-1-specific neutralizing antibodies to inhibit SARS-CoV-23. Here we used comparative pangenomic analysis of all sequenced Betacoronaviruses to reveal that, among all core gene clusters present in these viruses, the envelope protein E shows a variant shared by SARS and SARS-Cov2 with two completely-conserved key functional features, an ion-channel and a PDZ-binding Motif (PBM). These features trigger a cytokine storm that activates the inflammasome, leading to increased edema in lungs causing the acute respiratory distress syndrome (ARDS)4-6, the leading cause of death in SARS-CoV-1 and SARS-CoV-2 infection7,8. However, three drugs approved for human use may inhibit SARS-CoV-1 and SARS-CoV-2 Protein E, either acting upon the ion channel (Amantadine and Hexamethylene amiloride9,10) or the PBM (SB2035805), thereby potentially increasing the survival of the host, as already demonstrated for SARS-CoV-1in animal models. Hence, blocking the SARS protein E inhibits development of ARDS in vivo. Given that our results demonstrate that the protein E subcluster for the SARS clade is quasi-identical for the key functional regions of SARS-CoV-1 and SARS-CoV-2, we conclude that use of approved drugs shown to act as SARS E protein inhibitors can help prevent further casualties from COVID-2019 while vaccines and other preventive measures are being developed.

genomics↗

bioRxiv2018

Imaging of red-shifted photons from bioluminescent tumours using fluorescence by unbound excitation from luminescence

Early detection of tumours is today a major challenge and requires sensitive imaging methodologies coupled with new efficient probes. Bioluminescence imaging has been widely used in the field of oncology and several cancer cell lines have been genetically modified to provide bioluminescence signals. However, photons that are emitted by the majority of commonly used luciferases are usually in the blue part of the visible spectrum, where tissue absorption is still very high, making deep tissue imaging non-optimal and calling for optimised optical imaging methodologies. We have previously shown that red-shifting of bioluminescence signal by Fluorescence Unbound Excitation from Luminescence (FUEL) is a mean to increase bioluminescence signal sensitivity detection in vivo. Here, we applied FUEL to tumour detection in two different subcutaneous tumour models: the auto-luminescent human embryonic kidney (HEK293) cell line and the murine B16-F10 melanoma cell line previously transfected with the plasmid Luc2. Tumour size and bioluminescence were measured over time and tumour vascularization characterized. We then locally injected near infrared emitting Quantum Dots (NIR QDs)in the tumour site and observed a red-shifting of bioluminescence signal by (FUEL) indicating that FUEL could be used to allow deeper tumour detection.

bioengineering↗

bioRxiv2017

The genome sequence of the wild tomato Solanum pimpinellifolium provides insights into salinity tolerance

Solanum pimpinellifolium, a wild relative of cultivated tomato, offers a wealth of breeding potential for several desirable traits such as tolerance to abiotic and biotic stresses. Here, we report the genome and annotation of S. pimpinellifolium LA0480. The LA0480 genome size (811 Mb) and the number of annotated genes (25,970) are within the range observed for other sequenced tomato species. We developed and utilized the Dragon Eukaryotic Analyses Platform (DEAP) to functionally annotate the LA0480 protein-coding genes. Additionally, we used DEAP to compare protein function between S. pimpinellifolium and cultivated tomato. Our data suggest enrichment in genes involved in biotic and abiotic stress responses. Moreover, we present phenotypic data from one field experiment that demonstrate a greater salinity tolerance for fruit-and yield-related traits in S. pimpinellifolium compared with cultivated tomato. To understand the genomic basis for these differences in S. pimpinellifolium and S. lycopersicum, we analyzed 15 genes that have previously been shown to mediate salinity tolerance in plants. We show that S. pimpinellifolium has a higher copy number of the inositol-3-phosphate synthase and phosphatase genes, which are both key enzymes in the production of inositol and its derivatives. Moreover, our analysis indicates that changes occurring in the inositol phosphate pathway may contribute to the observed higher salinity tolerance in LA0480. Altogether, our work provides essential resources to understand and unlock the genetic and breeding potential of S. pimpinellifolium, and to discover the genomic basis underlying its environmental robustness.

plant biology↗