Biology subjects

Levy, A.

Publications and source records attributed to Levy, A..

45 records · Page 3Linked to original sources

bioRxiv2021

Genome sequences of the five Sitopsis species of Aegilops and the origin of polyploid wheat B-subgenome

Bread wheat (Triticum aestivum L., BBAADD) is a major staple food crop worldwide. The diploid progenitors of the A- and D-subgenomes have been unequivocally identified, that of B however remains ambiguous and controversial but is suspected to be related to species of Aegilops, section Sitopsis. Here, we report the assembly of chromosome-level genome sequences of all five Sitopsis species, namely Ae. bicornis, Ae. longissima, Ae. searsii, Ae. sharonensis, and Ae. speltoides, as well as partial assembly of Ae. mutica genome for phylogenetic analysis. Our results support that the donor of bread wheat B-subgenome is a distinct, probably extinct, diploid species that diverged from an ancestral progenitor of the B-lineage similar to Ae. mutica and Ae. speltoides. The five Sitopsis species have variable genome sizes (4.11-5.89 Gb) with high proportions of repetitive sequences (85.99-89.81%); nonetheless, they retain high collinearity with other wheat genomes. Differences in genome size are primarily due to independent post-speciation amplification of transposons rather than to inter-specific genetic introgression. We also identified a set of Sitopsis genes pertinent to important agronomic traits that can be harnessed for wheat breeding. These resources provide a new roadmap for evolutionary and genetic studies of the wheat group. SignificanceThe origin of the B-subgenome of hexaploid bread wheat remains unknown. Here we report the assembly of chromosome-level genome sequences of all five Sitopsis species of the genus Aegilops, which are previously considered as possible direct progenitors or contributors to the B-subgenome. Our comparative genomic analyses reveal that the B-subgenome originated from an unknown, most likely extinct species phylogenetically distinct from Ae. speltoides, its extant closest relative. We also provide evidence that Ae. speltoides is neither the direct progenitor of the G-subgenome of tetraploid wheat Triticum timopheevii. The high-quality Sitopsis genomes provide novel avenues to identify new important genes for wheat breeding.

evolutionary biology↗

bioRxiv2021

Knocking out AtCALS7 disturbs photoassimilate distribution and weakens defence against phytoplasma infection

Callose deposition around sieve pores, under control of callose synthase 7 (AtCALS7), has been interpreted as a mechanical response to limit pathogen spread in phytoplasma-infected plants. Wild-type and Atcals7ko mutants were therefore employed to unveil the mode of involvement of CALS7 in the plants response to phytoplasma infection. The fresh weights of healthy and CY-(Chrysanthemum Yellows) phytoplasma-infected Arabidopsis wild-type and mutant plants indicated two superimposed effects of the absence of CALS7: a partial impairment of photo-assimilate transport and a stimulated phytoplasma proliferation as illustrated by a significantly increased phytoplasma titre in Atcal7ko mutants. Further studies solely dealt with the effects of CALS7 absence on phytoplasma growth. Phytoplasma infection affected sieve-element substructure to a larger extent in mutants than in wild-type plants, which was also true for the levels of some free carbohydrates. Moreover, infection induced a similar upregulation of gene expression of enzymes involved in sucrose cleavage (AtSUS5, AtSUS6) and transmembrane transport (AtSWEET11) in mutants and wild-type plants, but an increased gene expression of carbohydrate transmembrane transporters (AtSWEET12, AtSTP13, AtSUC3) in infected mutants only. It remains still unclear how the absence of AtCALS7 leads to gene upregulation and how an increased intercellular mobility of carbohydrates and possibly effectors contributes to a higher susceptibility. It is also unclear if modified sieve-pore structures in mutants allow a better spread of phytoplasmas giving rise to higher titre. Author SummaryPhytoplasma infections are one of the most limiting factors for production of important crops all over the world. Phytoplasma disease epidemics can be handled mainly by insect-vector control using insecticides. Basic information about plant-phytoplasma interactions are still limited, nevertheless it is necessary to design new management and breeding strategies aimed to obtain more tolerant or resistant cultivars. Phytoplasmas are obligate intracellular parasites restricted to the phloem sieve tubes. Callose deposition at the sieve plates has been described since the 70s as a mechanical defence process to limit pathogen spread by occluding sieve pores. Studies reported 40 years later demonstrated that callose at the sieve pores is also involved in sieve-pore development and function and, hence, in mass-flow regulation, carbohydrate metabolism and distribution, and plant growth. Here, we reported on the role(s) of sieve-element callose in phytoplasma-infected Arabidopsis, using a mutant lacking AtCALS7, the enzyme responsible for callose synthesis in the sieve elements. The results indicate that loss of AtCAL7 appears to confer increased susceptibility to phytoplasma infection, due to alterations in expression of genes involved in sugar metabolism and membrane transport. In the long run, the identification of plant resistance or susceptibility traits against phytoplasmas will allow a complete re-organization of chemical control strategies, with obvious opportunities of reducing insecticide burden.

plant biology↗

bioRxiv2021

Deeplasmid: Deep learning accurately separates plasmids from bacterial chromosomes

Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by mediating horizontal transfer of important genes, such as antimicrobial resistance genes. Many microbial genomes have been sequenced by short read sequencers and have resulted in a mix of contigs that derive from plasmids or chromosomes. New tools that accurately identify plasmids are needed to elucidate new plasmid-borne genes of high biological importance. We have developed Deeplasmid, a deep learning tool for distinguishing plasmids from bacterial chromosomes based on the DNA sequence and its encoded biological data. It requires as input only assembled sequences generated by any sequencing platform and assembly algorithm and its runtime scales linearly with the number of assembled sequences. Deeplasmid achieves an AUC-ROC of over 93%, and it was much more precise than the state-of-the-art methods. Finally, as a proof of concept, we used Deeplasmid to predict new plasmids in the fish pathogen Yersinia ruckeri ATCC 29473 that has no annotated plasmids. Deeplasmid predicted with high reliability that a long assembled contig is part of a plasmid. Using long read sequencing we indeed validated the existence of a 102 Kbp long plasmid, demonstrating Deeplasmids ability to detect novel plasmids. AvailabilityThe software is available with a BSD license: deeplasmid.sourceforge.io. A Docker container is available on DockerHub under: billandreo/deeplasmid. Contactwandreopoulos@lbl.gov alevy@mail.huji.ac.il

bioinformatics↗

bioRxiv2020

The spatial-temporal dynamics of respiratory syncytial virus infections across the east-west coasts of Australia during 2016-17

Respiratory syncytial virus (RSV) is an important human respiratory pathogen. In temperate regions a distinct seasonality is observed, where peaks of infections typically occur in early winter, often preceding the annual influenza season. Infections are associated with high rates of morbidity and mortality, and in some populations exceeds that of influenza. Two subtypes, RSV-A and RSV-B, have been described, and molecular epidemiological studies have shown that both viruses mostly co-circulate. This trend also appears to be the case for Australia, however previous genomic studies have been limited to cases from one Eastern state - New South Wales. As such, the broader spatial patterns and viral traffic networks across the continent are not known. Here, we conducted a whole genome study of RSV comparing strains across eastern and western Australia during the period January 2016 to June 2017. In total, 96 new RSV genomes were sequenced, compiled with previously generated data, and examined using a phylodynamic approach. This analysis revealed that both RSV-A and RSV-B strains were circulating, and each subtype was dominated by a single genotype, RSV-A/ON1-like and RSV-B/BA10-like viruses. Some geographical clustering was evident in strains from both states with multiple distinct sub-lineages observed and relatively low mixing across jurisdictions suggesting that endemic transmission was likely seeded from imported, unsampled locations. Overall, the RSV phylogenies reflected a complex pattern of interactions across multiple epidemiological scales from fluid virus traffic across global and regional networks to fine-scale local transmission events.

microbiology↗

bioRxiv2020

The extracellular contractile injection system is enriched in environmental microbes and associates with numerous toxins

Bacteria employ toxin delivery systems to exclude bacterial competitors and to infect host cells. Characterization of these systems and the toxins they secrete is important for understanding microbial interactions and virulence in different ecosystems. The extracellular Contractile Injection System (eCIS) is a toxin delivery particle that evolved from a bacteriophage tail. Four known eCIS systems have been shown to mediate interactions between bacteria and their invertebrate hosts, but the broad ecological function of these systems remains unknown. Here, we identify eCIS loci in 1,249 prokaryotic genomes and reveal a striking enrichment of these loci in environmental microbes and absence from mammalian pathogens. We uncovered 13 toxin genes that associate with eCIS from diverse microbes and show that they can inhibit growth of bacteria, yeast or both. We also found immunity genes that protect bacteria from self-intoxication, supporting an antibacterial role for eCIS. Furthermore, we identified multiple new eCIS core genes including a conserved eCIS transcriptional regulator. Finally, we present our data through eCIStem; an extensive eCIS repository. Our findings define eCIS as a widespread environmental prokaryotic toxin delivery system that likely mediates antagonistic interactions with eukaryotes and prokaryotes. Future understanding of eCIS functions can be leveraged for the development of new biological control systems, antimicrobials, and cell-free protein delivery tools.

microbiology↗

bioRxiv2020

Continuous administration of the p38α inhibitor neflamapimod during the subacute phase after transient ischemia-induced stroke in the rat promotes dose-dependent functional recovery accompanied by increase in brain BDNF protein level

There is unmet need for effective stroke therapies. Numerous neuroprotection attempts for acute cerebral ischemia have failed and there is growing interest in developing therapies that widen the treatment initiation window and promote functional recovery through increasing synaptic plasticity. The p38 mitogen-activated protein kinase is an already proven target for acute experimental stroke intervention and was hypothesized to also contribute to neuroinflammation-mediated impairment of recovery during the subacute phase. Neflamapimod, an orally bioavailable, brain-penetrant, potent and selective small molecule p38 inhibitor was evaluated as a subacute phase stroke treatment to promote recovery in this research study. Neflamapimod administration at two clinically relevant dose levels was initiated outside of the previously characterized neuroprotection window of less than 24 hours after stroke for p38 inhibitors to rats after transient middle cerebral artery occlusion. Continuous administration of neflamapimod, starting at 48 hours after reperfusion, significantly improved behavioral outcomes assessed by the modified neurological severity score at four- and six-weeks post stroke in a dose-dependent manner. Neflamapimod also demonstrated beneficial effects on additional measures of sensory and motor function and resulted in a dose-related increase in the terminal brain-derived neurotrophic factor protein level in both the injured and uninjured brain hemisphere. Variable interleukin-1{beta} levels were detected in the injured brain hemisphere at study termination in a subset of the animals within every test group, implying ongoing, chronic inflammation, however, no clear neflamapimod effect on interleukin-1{beta} production was observable. The dose-related in vivo efficacy of neflamapimod offers the possibility of both expanding the window for initiation of therapy after stroke and for improving recovery after a completed stroke. Since neflamapimod is already in mid-stage clinical trials for Alzheimers disease and related dementias, the current results make it especially attractive for evaluation in a proof-of- concept clinical trial as therapeutic to promote recovery after ischemic stroke.

pharmacology and toxicology↗

bioRxiv2020

Mouth magnetoencephalography: A unique perspective on the human hippocampus

Traditional magnetoencephalographic (MEG) brain imaging scanners consist of a rigid sensor array surrounding the head; this means that they are maximally sensitive to superficial brain structures. New technology based on optical pumping means that we can now consider more flexible and creative sensor placement. Here we explored the magnetic fields generated by a model of the human hippocampus not only across scalp but also at the roof of the mouth. We found that simulated hippocampal sources gave rise to dipolar field patterns with one scalp surface field extremum at the temporal lobe and a corresponding maximum or minimum at the roof of the mouth. We then constructed a fitted dental mould to accommodate an Optically Pumped Magnetometer (OPM). We collected data using a previously validated hippocampal-dependent task to test the empirical utility of a mouth-based sensor, with an accompanying array of left and right temporal lobe OPMs. We found that the mouth sensor showed the greatest task-related theta power change. We also found that, as predicted by the simulations, the mouth sensor was anti-correlated with those on over the temporal lobes. We found that this sensor had a mild effect on the reconstructed power in the hippocampus (~10% change) but that coherence images between the mouth sensor and reconstructed source images showed a global maximum in the right hippocampus. We conclude that augmenting a scalp-based MEG array with sensors in the mouth shows unique promise for both basic scientists and clinicians interested in interrogating the hippocampus.

neuroscience↗

bioRxiv2019

In the Body’s Eye: The Computational Anatomy of Interoceptive Inference

A growing body of evidence highlights the intricate linkage of exteroceptive perception to the rhythmic activity of the visceral body. In parallel, interoceptive inference theories of emotion and self-consciousness are on the rise in cognitive science. However, thus far no formal theory has emerged to integrate these twin domains; instead most extant work is conceptual in nature. Here, we introduce a formal model of cardiac active inference, which explains how ascending cardiac signals entrain exteroceptive sensory perception and confidence. Through simulated psychophysics, we reproduce the defensive startle reflex and commonly reported effects linking the cardiac cycle to fear perception. We further show that simulated interoceptive lesions blunt fear expectations, induce psychosomatic hallucinations, and exacerbate metacognitive biases. Through synthetic heart-rate variability analyses, we illustrate how the balance of arousal-priors and visceral prediction errors produces idiosyncratic patterns of physiological reactivity. Our model thus offers the possibility to computationally phenotype disordered brain-body interaction.

neuroscience↗

bioRxiv2017

Large-scale rewiring in a yeast hybrid

The merging of genomes in inter-specific hybrids can result in novel phenotypes, including increased growth rate and biomass yield, a phenomenon known as heterosis. We describe a budding yeast hybrid that grows faster than its parents under different environments. Phenotypically, the hybrid progresses more rapidly through cell cycle checkpoints, relieves the repression of respiration in fast growing conditions, does not slow down its growth when presented with ethanol stress, and shows increasing signs of DNA damage. A systematic genetic screen identified hundreds of alleles affecting hybrid growth whose identity vastly differed between the hybrid and its parent and between growth conditions. This large-scale rewiring of allele effects suggests that despite showing clear heterosis, the hybrid is perturbed in multiple regulatory processes. We discuss the possibility that incompatibilities contribute to hybrid vigor by perturbing safeguard mechanisms that limit growth in the parental background.

systems biology↗