Biology subjects

Shrestha, B.

Publications and source records attributed to Shrestha, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Stabilizing gas in aqueous liquids with metal-organic frameworks for persistent acoustic transduction

Gas is the most efficient mediator of acoustic energy owing to its high compressibility, yet its thermodynamic instability in aqueous environments makes it inherently transient, limiting sustained ultrasound-biological interfacing. Here, we show that gas can be stabilized, confined, and manipulated in the liquid phase to function as a persistent acoustic transducer. By trapping gas within designed microporous metal-organic framework (MOF) nanocrystals, interfacial forces establish a stable ternary-phase equilibrium that suppresses water intrusion and prevents gas collapse, enabling reversible, non-destructive oscillations under ultrasound stimulation and providing design principles for stabilizing gas in liquid environments. By leveraging high-resolution ultra-high-speed digital image correlation (DIC), we unveil the previously inaccessible spatiotemporal dynamics of confined gas oscillations within these nanotransducers under ultrasound stimulation, revealing localized amplification of the surrounding acoustic field and establishing a quantitative structure-function relationship for programmable acoustic transduction. These aqueous-phase gas nanotransducers exhibit sustained acoustic amplification over millions of excitation cycles and remain functional after prolonged storage (>2 years) under physiological conditions. In vitro and in vivo, this platform enables long-term ultrasound imaging and sustained, non-invasive neuromodulation by converting confined gas oscillations into persistent and amplified mechanical actuation. Our findings establish a generalizable design framework for stabilizing gas in liquid environments to achieve persistent and programmable acoustic transduction, thereby enabling sustained ultrasound-biological interfacing and opening opportunities for gas-based therapeutics.

bioengineering↗

bioRxiv2026

Microscale Characterization of Undecalcified Bone Tissue Using Correlative Atomic Force Microscopy and Histology

Characterizing bone tissue in its mineralized state remains technically challenging. Conventional approaches typically compromise mechanical integrity through decalcification or lack the structural resolution necessary to capture microscale heterogeneity. Here we present an integrated workflow combining atomic force microscopy (AFM) with histological and immunofluorescence assays on adjacent undecalcified bone tissue cryosections. Using a tape-transfer mounting approach, we resolve mechanically and structurally distinct tissue types within a minimally processed single mouse femur section. Furthermore, we show that decalcification substantially alters nanoscale surface topography and local mechanical properties. Applied to an aging cohort of C57BL/6J female mice spanning 7 to 115 weeks, the proposed method detects age-associated changes in bone matrix structure and stiffness. The approach provides a practical methodology for spatially correlating nanomechanical properties with molecular markers in bone and other mineralized tissues, with broad applicability to disease models including cancer metastasis, osteoporosis, and osteoarthritis.

biophysics↗

bioRxiv2026

Lytic bacteriophages against Salmonella Typhi as a potential alternative to antibiotics

IntroductionEnteric fever, being endemic with seasonal peaks in low- and middle-income countries, is a major health concern. Moreover, the rise in antibiotic resistance has exacerbated the situation. This study was undertaken to investigate the lytic bacteriophages against Salmonella Typhi with a potential for phage therapy. Materials and MethodsA hospital-based cross-sectional study was conducted from October 2023 to March 2024. Blood cultures were processed by the BACTEC automated culture system following standard microbiological techniques to isolate typhoidal Salmonella. Antibiotic susceptibility was tested by the modified Kirby-Bauer disc diffusion method. Lytic bacteriophages isolated by the double-layer agar method were assessed for their host range and lytic ability with spot and turbidimetric assays. ResultsOf the total 1054 blood specimens, 35 (3.2%) were positive for S. Typhi. All the isolates were susceptible to first-line antibiotics--ampicillin, chloramphenicol, and cotrimoxazole. The isolates were also sensitive to nalidixic acid (80%) as well as fluoroquinolones; ciprofloxacin (62.86%), levofloxacin (77.14%), and ofloxacin (80%). Fifteen lytic phages were isolated against S. Typhi Ty2 and CT18 strains. Four phages--vB_SaTy_ST2, vB_SaTy_ST7, vB_SaTy_ST17, and vB_SaTy_ST18--lysed all 35 clinical S. Typhi isolates. While vB_SaTy_ST17 and vB_SaTy_ST18 also lysed 7 out of 20 S. Paratyphi A isolates. Three phages (vB_SaTy_ST2, vB_SaTy_ST7, vB_SaTy_ST17) were tested against S. Typhi isolate S30. Individually, vB_SaTy_ST17 suppressed the growth for 13 hours, vB_SaTy_ST2 and vB_SaTy_ST7 for 10 hours. The phage cocktail vB_SaTy_ST2 + vB_SaTy_ST17 was the most effective, which extended the inhibition time to 15 hours. ConclusionThis study highlights the ongoing burden of enteric fever in Nepal and the increase in susceptibility of S. Typhi to nalidixic acid and fluoroquinolones. It also demonstrates the promising lytic potential of bacteriophages, particularly vB_SaTy_ST17 and the phage cocktail vB_SaTy_ST2 + vB_SaTy_ST17, against clinical S. Typhi, highlighting their potential as alternatives to antibiotics.

microbiology↗

bioRxiv2026

Cell state-specific metabolic networks govern ferroptosis versus apoptosis in small cell lung cancer

Cellular heterogeneity and plasticity are hallmarks of cancer that contribute to tumor growth and therapy resistance. Here we investigated metabolic heterogeneity in small cell lung cancer (SCLC), an aggressive neuroendocrine (NE) cancer type. Through integrated transcriptomic and metabolomic analyses, we identified a universal dependency on exogenous cysteine/cystine (Cys) across all NE/non-NE SCLC cell states. Notably, NE and non-NE cells with low levels of the ASCL1 transcription factor die from ferroptosis upon Cys depletion. In contrast, ASCL1-high cells die from apoptosis but are ferroptosis resistant. This resistance to ferroptosis is driven by the direct upregulation of the gene coding for the GCH1 enzyme by ASCL1, which results in higher levels of the BH4/BH2 antioxidants. Accordingly, combining cysteine depletion with BH4/BH2 synthesis inhibition effectively reduces tumor growth in patient-derived xenografts. This work elucidates distinct metabolic states in SCLC and suggests new approaches to induce cell death in this lethal form of cancer.

cancer biology↗

bioRxiv2026

Probing the Glymphatic System Using Optical Imaging and Mathematical Modeling

The glymphatic system is a macroscopic waste clearance pathway in the central nervous system (CNS), crucial to maintaining neural homeostasis through the exchange of cerebrospinal fluid (CSF) and interstitial fluid (ISF). Impairments in this system have been associated with neurodegenerative diseases such as Alzheimers and Parkinsons, emphasizing the need to understand and potentially improve glymphatic clearance. We investigate tracer diffusion and transport in the glymphatic system by combining optical imaging in rats and mathematical modeling using a partial differential equation of advection-diffusion type. The experimental conditions differ in the levels of isoflurane-induced anesthesia (1.5, 2 and 3%) and the molecular weight of the tracer compounds (1 and 160 kDa). The optimal parameters show a close clustering of the diffusion coefficients and a wider spread of the flow velocities of the cerebrospinal fluid. Our work contributes to a better understanding of flow processes in the brain parenchyma during sleep.

neuroscience↗

bioRxiv2025

Long-read sequencing of single cell-derived melanoma subclones reveals divergent and parallel genomic and epigenomic evolutionary trajectories

Tumor evolution is driven by various mutational processes, ranging from single-nucleotide vari- ants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alter- ations due to inherent technical limitations. To overcome that, here we introduce an approach for long-read sequencing of single-cell derived subclones, and use it to profile 23 subclones of a mouse melanoma cell line, characterized with distinct growth phenotypes and treatment responses. We develop a computational frame- work for harmonization and joint analysis of different variant types in the evolutionary context. Uniquely, our framework enables detection of recurrent amplifications of putative driver genes, generated by indepen- dent SVs across different lineages, suggesting parallel evolution. In addition, our approach revealed gradual and lineage-specific methylation changes associated with aggressive clonal phenotypes. We also show our set of phylogeny-constrained variant calls along with openly released sequencing data can be a valuable resource for the development of new computational methods.

genomics↗

bioRxiv2025

Styx: A multi-language API Generator for Command-Line Tools

In numerous scientific domains, established tools have often been developed with complex command-line interfaces. Such is the case for brain imaging and bioinformatics, making the use of powerful legacy tools in modern workflow paradigms challenging. We present (i) Styx, a compiler for generating language-native wrapper functions from static tool metadata, leading to seamless integration of command-line tools within the data science ecosystem. Alongside Styx, we have created (ii) NiWrap, a collection of more than 1900 neuroimaging command-line function descriptions as a proof-of-concept implementation. These interfaces, available in Python, R, and TypeScript (available at https://github.com/styx-api), significantly reduce the complexity of writing and interpreting software pipelines, particularly when composing workflows across packages with distinct API standards. The compiler architecture of Styx facilitates maintainability and portability across computing environments. As with all metadata-dependent infrastructure, creating sufficient metadata annotations remains a barrier to adoption. Accordingly, NiWrap demonstrates approaches that lower this barrier through direct source code extraction and LLM-assisted documentation parsing. Together, Styx and NiWrap offer a sustainable solution for interfacing diverse command-line tools with modern data science ecosystems. This modular approach enhances reproducibility and efficiency in pipeline development while ensuring portability across computing environments and programming languages.

bioinformatics↗

bioRxiv2025

Global Metagenomics Reveals Plastid Diversity and Unexplored Algal Lineages

Photosynthetic organelles in eukaryotes originated through primary endosymbiosis with a cyanobacterium, an event that profoundly shaped the evolutionary landscape of the eukaryotic tree of life. Primary plastids in Archaeplastida, especially in cultivable plants and algae, contribute most to known plastid diversity. Secondary and higher-order endosymbiosis, involving eukaryotic hosts and algal endosymbionts, further spread photosynthesis among protists within the CASH lineages (Cryptophyta, Alveolata, Stramenopila, and Haptophyta). Despite various hypotheses explaining secondary plastid evolution and distribution, empirical support remains limited. Here, we employ cultivation-independent global metagenomics to expand plastid diversity and investigate plastid origins. We captured 1,027 plastid sequences, including 300 novel sequences belonging to previously unsequenced plastids and representing yet-to-be described microeukaryotes. This includes a new lineage that offers insights into plastid evolution in haptophytes and cryptophytes. Our results confirm that Archaeplastida plastids originated from an early-branching cyanobacterial lineage closely related to Gloeomargaritales and identify the closest extant relative of Paulinella plastids. Additionally, our findings suggest two independent origins of secondary red algal plastids, contributing to plastid diversity in CASH lineages and challenging the prevailing model of single secondary plastid origin. Our study highlights the importance of metagenomic data in uncovering biological diversity and advancing understanding of plastid relationships across photosynthetic eukaryotes.

evolutionary biology↗

bioRxiv2025

MISO: Microfluidic protein isolation enables single particle cryo-EM structure determination from a single cell colony

Single particle cryo-EM enables reconstructing near-atomic or even atomic resolution 3D maps of proteins by visualizing thousands to a few million purified protein particles embedded in nanometer- thick vitreous ice. This corresponds to picograms of purified protein, which can potentially be isolated from a few thousand cells. Hence, cryo-EM holds the potential of one of the most sensitive analytical methods that deliver a high-resolution protein structure as a readout. In practice, more than a million times more starting biological material is required to prepare cryo-EM grids. To close the gap, we developed a micro isolation (MISO) method that combines microfluidics-based protein purification with cryo-EM grid preparation. We validated the method on soluble bacterial and eukaryotic membrane proteins. We showed that MISO enables protein structure determination starting from below one microgram of a target protein and going from cells to cryo-EM grids within a few hours. This scales down the purification by a factor of a few hundred to a few thousand and opens possibilities for the structural characterization of hitherto inaccessible proteins.

biophysics↗

bioRxiv2024

Regular Plasmodium falciparum importation onto Bioko Island, Equatorial Guinea, hampers malaria elimination from the island

The Bioko Island Malaria Elimination Project (BIMEP) has made significant progress in reducing the prevalence of Plasmodium falciparum on Bioko Island, Equatorial Guinea. However, like other malaria endemic islands like Sao Tome and Principe and Zanzibar, Tanzania, elimination efforts are hampered by imported infections. In an effort to understand the local transmission dynamics and the influence of importation on Bioko Islands P. falciparum population, whole-genome sequences were generated from field samples collected during the BIMEPs 2019 Malaria Indicator Survey (MIS). Within the sub-Saharan African context, we observed Bioko Island parasites did not significantly differentiate from nearby continental neighbors. Among Bioko infections, within-host diversity and the quantity of polyclonal infections appear similar to an area of moderate malaria transmission. However, we observed higher than expected genetic diversity among Bioko parasites, similar to high transmission areas, suggesting imported strains are contributing to transmission on the island. Among Biokos closest geographical neighbors, the flow of parasites with Bioko appeared more pronounced with the Gabonese parasite population, implying more importation may be coming from this region than others. Overall, despite significant investment in malaria control, results illustrate the challenges of eliminating malaria without both interrupting local transmission and accounting for importation from higher transmission areas, likely due to human migration. For there to be sustained progress towards elimination, the BIMEP needs, if feasible, to conduct targeted interventions of outgoing/incoming travelers, and ideally expand malaria control interventions to the continental region of Equatorial Guinea. ImportancePlasmodium falciparum accounts for the majority of malaria deaths globally, with over 500,000 estimated deaths in 2023, predominantly in sub-Saharan Africa, despite strong investment in control and elimination interventions. Incorporating sequencing technologies into malaria surveillance is viewed as a powerful tool to improve control strategies, including identifying parasite transmission pathways. Here, we provide the first genomic characterization of P. falciparum on Bioko Island and Equatorial Guinea since malaria control began in 2004, and use these data to better understand the contribution of neighboring regions to Biokos P. falciparum population. Results highlight the need to account for offisland contributors to transmission and to understand how unmitigated transmission in neighboring regions can hamper progress. This study furthers our understanding of how the flow of parasites between regions impacts infectious disease control and provides foundational genomic data in a previously undescribed region that can be used to inform malaria elimination efforts.

genomics↗

bioRxiv2024

Well-resolved phylogeny reveals multiple origins of keel flowers during the diversification of papilionoid legumes

O_LIThe butterfly-shaped keel flower is a highly successful floral form in angiosperms. These flowers steer the mechanical interaction with bees and thus are hypothesized to accelerate pollinator-driven diversification. The exceptionally labile evolution of keel flowers in Papilionoideae (Fabaceae) provides a suitable system to test this hypothesis. C_LIO_LIUsing 1,456 low-copy nuclear loci, we confidently resolve the early divergence history of Papilionoideae. Constrained by this backbone phylogeny, we generated a time tree for 3,326 Fabales to evaluate the tempo and mode of diversification within a state-dependent evolutionary framework. C_LIO_LIThe first keel flowers emerged around 59.0 Ma in Papilionoideae, predating the earliest fossil by 3-4 million years. The Miocene diversification of Papilionoideae coincided with rapid evolution of keel flowers. At least six independent origins and thirty-two losses of keel flowers were identified in Papilionoideae, Cercidoideae, and Polygalaceae. However, the state-dependent diversification model was not favored. C_LIO_LILack of radiation associated with keel flowers suggests that diversification within Papilionoideae was not solely driven by pollinator-mediated selection, but instead an outcome of the synergistic effects of multiple innovations including nitrogen fixation and chemical defense as well as dispersal into subtropical and temperate regions. C_LI

evolutionary biology↗

bioRxiv2024

Pharyngeal neuronal mechanisms governing sour taste perception in Drosophila melanogaster

Sour taste, which is elicited by low pH, may serve to help animals distinguish appetitive from potentially harmful food sources. In all species studied to date, the attractiveness of oral acids is contingent on concentration. Many carboxylic acids are attractive at ecologically relevant concentrations but become aversive beyond some maximal concentration. Recent work found that Drosophila ionotropic receptors IR25a and IR76b expressed by sweet-responsive gustatory receptor neurons (GRNs) in the labellum, a peripheral gustatory organ, mediate appetitive feeding behaviors toward dilute carboxylic acids. Here, we disclose the existence of pharyngeal sensors in D. melanogaster that detect ingested carboxylic acids and are also involved in the appetitive responses to carboxylic acids. These pharyngeal sensors rely on IR51b, IR94a, and IR94h, together with IR25a and IR76b, to drive responses to carboxylic acids. We then demonstrate that optogenetic activation of either Ir94a+ or Ir94h+ GRNs promotes an appetitive feeding response, confirming their contributions to appetitive feeding behavior. Our discovery of internal pharyngeal sour taste receptors opens up new avenues for investigating the internal sensation of tastants in insects.

neuroscience↗

bioRxiv2024

Human Cells for Human Proteins: Isotope Labeling in Mammalian Cells for Functional NMR Studies of Disease-Relevant Proteins

In biological and biomedical research the focus progressively moves towards difficult human proteins, which often can only be expressed in higher eukaryotic cells. Nuclear magnetic resonance (NMR) could contribute significantly to the understanding of important proteins as it is one of the most information-rich methods: it allows studying structure, function and dynamics of biomolecules and, importantly, their interactions with natural ligands or drugs. However, to exploit the full potential of NMR, proteins must be isotope labeled. Although expression protocols in e.g. HEK293 cells are often established, isotope labeling is difficult and very expensive. To resolve this disparity, we have developed a comprehensive suite of protocols for isotope labeling in HEK293 cells. We demonstrate uniform 15N and 13C labeling, as well as specific labeling, with special focus on methyl bearing amino acids, including the popular ILV 13C-methyl labeling pattern. Labeling is achieved with a simple laboratory setup and affordable labeling media. These are based on either labeled amino acids, their precursors or amino extracts from microorganisms, like yeast, algae or bacteria. This enables NMR studies of important, but difficult to produce proteins, like receptors. We therefore expect that these new methods make many highly important proteins accessible to NMR studies and allow exploiting the high information content of this method for accelerating biological and pharmaceutical research.

biophysics↗

bioRxiv2024

Prevalence of Class 1 integron in disease-causing carbapenem-resistant Escherichia coli in a tertiary hospital in Kathmandu, Nepal

BackgroundHigh prevalence of carbapenem resistance genes have been abundantly reported within clinical E. coli in Nepal but their co-prevalence with class-1 integron is poorly documented. These Class I Integrons play pivotal role in evolution and spread of antimicrobial resistance (AMR). Therefore, it is necessary to highlight their epidemiological significance, so this study determined the prevalence of Class 1 integrons within Carbapenem resistance Escherichia coli (CREc) population. MethodsFifty-two clinical E. coli with confirmed resistance to Meropenem were collected between January 2020-April 2022 in Kathmandu Model Hospital, and undergone antimicrobial susceptibility testing for 11 antimicrobial classes. Carbapenemase production was confirmed by eCIM and mCIM methods. Presence of Class I integron and carbapenemase genes, blaNDM-1, blaKPC, blaIMP, blaVIM, blaOXA-23, blaOXA-48, was confirmed by PCR method. ResultsThe result revealed 92.3% (n=48/52) of the isolates harbored intI1 gene. Among integron-positive population, 97.9% (n=47/48) were carbapenemase producers which were further identified as metallo {beta}-lactamase (MBL) producers (82.9%, n=39/47) and serine {beta}-lactamase (SBL) producer (17%, n=8/47). Carbapenemase gene blaNDM-1 (79.2%, n=38/48) was highly prevalent within integron-positive isolates, followed by blaOXA-23 (62.5%, n=30/48) and blaOXA-48 (54.2%, n=26/48). All integron-positive CREc isolates were resistant to minimum 16 antibiotics tested, but were susceptible to Colistin, Polymixin B, and Tigecycline. ConclusionIn conclusion, Class 1 integrons were highly prevalent within clinical CREc in Nepal, and their co-prevalence with other CRE gene is concerning due to possibility of wider spread. Therefore, an in-depth genomic analysis of Class 1 integrons is needed to understand the integron mediated AMR in high risk clones like CREc and inform intervention measures to stop spread of such pathogens.

microbiology↗

bioRxiv2024

The Impact of Anesthesia on Ultrasonic Glymphatic Perturbation Protocol: Alertness, and Glymphatic Influx

We have recently discovered that transcranial low-intensity focused ultrasound can enhance glymphatic transport, which facilitates the removal of waste metabolites from the brain in a preclinical rat model [1]. The central hypothesis was that ultrasound, functioning as a pressure wave, has the potential to influence the convective forces generated by arterial pulsations, which are also pressure waves, serving as the primary mechanism for glymphatic transport. Importantly, our data revealed that (i) the ultrasound protocol (650 kHz at 0.2MPa for 10 minutes to the entire brain) is safe, as histological evaluations showed no parenchymal damage and no difference in levels of neuronal degeneration or astrocytic activation 72 hours after the intervention, and (ii) the required pressure is significantly low, 10 times below FDA-approved limits for diagnostic ultrasound, and can be achieved using existing FDA-approved clinical transcranial focused ultrasound systems, suggesting its ease of translation into clinical applications. However, the study was conducted under specific physiological states with approximately 2.5% isoflurane-induced anesthesia. There is a limitation in fully understanding the potential bioeffects of ultrasound within the glymphatic space across various physiological conditions, primarily because the glymphatic transports efficiency fluctuates with anesthetically induced physiological states. Hence, establishing standardized protocols of ultrasonic glymphatic transport at optimal physiological state is crucial for ensuring consistent, reliable results across research laboratories during the preclinical development of this technique. The primary objective of this study is to evaluate how ultrasonically manipulated glymphatic transport is influenced by different levels of isoflurane-induced anesthetic conditions, including 3% (just above 2.5%), 2% (slightly below 2.5%), and 1.5% (quasi-awake state, resembling the existing clinical practice of ultrasound treatment). Results show that the impact of ultrasound during glymphatic transport depends on the level of anesthesia. It increases alertness in lightly anesthetized animals and improves glymphatic transport, while it induces drowsiness in heavily anesthetized animals, leading to reduced glymphatic transport. The results suggest that lighter anesthesia is beneficial for efficient ultrasonic glymphatic transport, making it more in line with the awake state in current clinical ultrasound treatments, thus advancing the technology closer to clinical translation.

bioengineering↗

bioRxiv2023

A single pair of pharyngeal neurons functions as a commander to reject high salt in Drosophila melanogaster

Salt is an essential nutrient for survival, while excessive NaCl can be detrimental. In the fruit fly, Drosophila melanogaster, internal taste organs in the pharynx are critical gatekeepers impacting the decision to accept or reject a food. Currently, our understanding of the mechanism through which pharyngeal gustatory receptor neurons (GRNs) sense high salt are rudimentary. Here, we found that a member of the ionotropic receptor family, Ir60b, is expressed exclusively in a pair of GRNs activated by high salt. Using a two-way choice assay (DrosoX) to measure ingestion volume, we demonstrate that IR60b and two coreceptors IR25a and IR76b, are required to prevent high salt consumption. Mutants lacking external taste organs but retaining the internal taste organs in the pharynx exhibit much higher salt avoidance than flies with all taste organs but missing the three IRs. Our findings highlight the vital role for IRs in a pharyngeal GRN to control ingestion of high salt.

neuroscience↗

bioRxiv2023

Folate receptor overexpression shortens C. elegans lifespan by impeding adaptation to microbial metabolism

Folate receptor (FR) alpha and beta (FR and FR{beta}) are membrane-anchored transporters that mediate folate uptake through endocytosis. Unlike other folate transporters, FRs are expressed at low levels in normal tissues, while their expression is strongly increased in several cancers. In addition to its canonical role in folate transport, FR, the most studied FR, also regulates signaling pathways unrelated to folate- or one-carbon metabolism. Nevertheless, it is not known how loss of folate receptors, or their overexpression, affects health- and lifespan. To elucidate this, we utilized Caenorhabditis elegans, in which FOLR-1 is the sole homolog of folate receptors. Interestingly, loss of FOLR-1 does not affect reproduction, fitness, proteostasis or lifespan, indicating that it is not required for folate transport to maintain health. Strikingly, in contrast to folr-1 depletion, folr-1 overexpression shortens lifespan in a cocultured E. coli strain-dependent manner. Furthermore, we found that folr-1 overexpression blunts the lifespan extension upon treatment with sulfamethoxazole, a sulfonamide that promotes longevity by limiting folate in E. coli. These data suggest that animals overexpressing folr-1 are deficient in their ability to adapt to changes in microbial metabolism, thus revealing an intriguing and non-canonical role of FR in lifespan regulation. Therefore, this work could serve as a basis for further studies to elucidate the organismal effects of abnormal FR expression in diseases such as cancer. Author SummaryFolate receptors (FRs) differ from other folate transporters based on, for example, these two things: their expression is strongly restricted, and they can regulate intracellular cellular processes independently of folate- and one-carbon metabolism (OCM). Interestingly, FRs have an essential role in embryonic development, but on the other hand, their overexpression in cancer have been shown to reduce patient survival. Apart from development and disease, the role of FRs in aging remains unknown. By utilizing C. elegans, we show that FOLR-1 (FR homolog in C. elegans) is not required to maintain normal physiology, whereas its overexpression shortens lifespan through a mechanism dependent on cocultured bacteria. Since cocultured bacteria constitute the C. elegans gut microbiota, this study places elevated FR expression as a link between gut commensal bacteria and organisms lifespan, raising the intriguing question of whether the same mechanism applies in cancer.

genetics↗

bioRxiv2022

Welcome to the big leaves: best practices for improving genome annotation in non-model plant genomes

* Premise of the studyRobust standards to evaluate quality and completeness are lacking for eukaryotic structural genome annotation. Genome annotation software is developed with model organisms and does not typically include benchmarking to comprehensively evaluate the quality and accuracy of the final predictions. Plant genomes are particularly challenging with their large genome sizes, abundant transposable elements (TEs), and variable ploidies. This study investigates the impact of genome quality, complexity, sequence read input, and approach on protein-coding gene prediction. * MethodsThe impact of repeat masking, long-read, and short-read inputs, de novo, and genome-guided protein evidence was examined in the context of the popular BRAKER and MAKER workflows for five plant genomes. Annotations were benchmarked for structural traits and sequence similarity. * ResultsBenchmarks that reflect gene structures, reciprocal similarity search alignments, and mono-exonic/multi-exonic gene counts provide a more complete view of annotation accuracy. Transcripts derived from RNA-read alignments alone are not sufficient for genome annotation. Gene prediction workflows that combine evidence-based and ab initio approaches are recommended, and a combination of short and long-reads can improve genome annotation. Adding protein evidence from de novo assemblies, genome-guided transcriptome assemblies, or full-length proteins from OrthoDB generates more putative false positives as implemented in the current workflows. Post-processing with functional and structural filters is highly recommended. * DiscussionWhile annotation of non-model plant genomes remains complex, this study provides recommendations for inputs and methodological approaches. We discuss a set of best practices to generate an optimal plant genome annotation, and present a more robust set of metrics to evaluate the resulting predictions.

bioinformatics↗