Miracle-dz/UniFAR-FTUs huggingface dataset:
ConVarT: a search tool for orthologous variants: 1 A method and server for functional inference of human genetic variants 2

10 The availability of genetic variations, together with phenotypic annotations from model organisms, 11 facilitates comparing these variants with equivalent variants. However, existing databases and 12 search tools do not make it easy to scan for equivalent variants, namely “orthologous variants,” 13 between humans and other organisms. Therefore, we developed an integrated search engine called 14 ConVarT (http://www.convart.org/) for orthologous variants between humans, mice, and C. 15 elegans . ConVarT incorporates annotations (including phenotypic and pathogenic) into variants, 16 and these previously unexploited phenotypic OrthoVars from mice and C. elegans can give clues 17 about the functional consequence of human genetic variants. Our analysis shows that many 18 phenotypic variants in different genes from mice and C. elegans , so far, have no counterparts in 19 humans, and thus, can be useful resources when evaluating a relationship between a new human 20 mutation and a disease.
Genetic analysis of DinG-family helicase YoaA and its interaction with replication clamp-loader protein HolC in E. coli

The XP-D/DinG family of DNA helicases contribute to genomic stability in all three domains of life. We investigate here the role of one of these proteins,YoaA, of Escherichia coli. In E. coli,YoaA aids tolerance to the nucleoside azidothymidine (AZT), a DNA replication inhibitor and physically interacts with a subunit of the DNA polymerase III holoenzyme, HolC. We map the residues of YoaA required for HolC interaction to its C-terminus by yeast two-hybrid analysis. We propose that this interaction competes with HolC’s interaction with HolD and the rest of the replisome;YoaA indeed inhibits growth when overexpressed, dependent on this interaction region. By gene fusions we show YoaA is repressed by LexA and induced in response to DNA damage as part of the SOS response. Induction of YoaA by AZT is biphasic with an immediate response after treatment and a slower response that peaks in the late log phase of growth. This growth-phase dependent induction by AZT is not blocked by lexA3 (Ind-), which normally negates its self-cleavage, implying another means to induce the DNA damage response that responds to the nutritional state of the cell. We propose that YoaA helicase activity increases access to the 3’ nascent strand during replication; consistent with this,YoaA appears to aid removal of potential A-to-T transversion mutations in ndk mutants, which are prone to nucleotide misincorporation. YoaA and its paralog DinG also may initiate template-switching that leads to deletions between tandem repeats in DNA. IMPORTANCE Maintaining genomic stability is crucial for all living organisms. Replication of DNA frequently encounters barriers that must be removed to complete genome duplication. Balancing DNA synthesis with its repair is critical and not entirely understood at a mechanistic level.The YoaA protein, studied here, is required for certain types of DNA repair and interacts in an alternative manner with proteins that catalyze DNA replication. YoaA is part of the well-studied LexA-regulated response to DNA damage, the SOS response. We describe an unusual feature of its regulation that promotes induction after DNA damage as the culture begins to experience starvation. Replication fork repair integrates both DNA damage and nutritional signals. We also show that YoaA affects genomic stability.
Spatial Congruence Analysis (SCAN): An objective method for detecting biogeographical patterns based on species’ range congruences

Similar species ranges may represent outcomes of common biological processes and so form the basis for biogeographical concepts such as areas of endemism and ecoregions. Nevertheless, spatial range congruence is rarely quantified, much less incorporated in bioregionalization methods as an explicit parameter. Furthermore, most available methods suffer from limitations related to the loss, or the excess of range information, or scale bias associated with the use of grids, and the incapacity to recognize independent overlapped patterns or gradients of range distributions. Here, we propose an analytical method, Spatial Congruence Analysis (SCAN), to identify biogeographically meaningful groups of species, called biogeographic elements. Such elements are based on direct and indirect spatial relationships among species’ ranges and vary depending on an explicit measure of range congruence controlled as a numerical parameter in the analysis. A one-layered network connects species (vertices) using pairwise spatial congruence estimates (edges). This network is then analyzed for each species, separately, by an algorithm that accesses the entire web of spatial relationships to the reference species. The method was applied to two datasets: a simulated gradient of ranges and real distributions of birds. The gradient results showed that SCAN can describe gradients of distribution with a high level of detail, without confounding transition zones with true biogeographical units, a frequent pitfall of other methods. The bird dataset showed that only a small portion of range overlaps is biogeographically meaningful, and that there is a large variation in types of patterns that can be found with real distributions. Distinct reference species may converge on similar or identical groups of spatially related species, may lead to recognition of nested species groups, or may even generate similar spatial patterns with no species in common. The biological significance or causal processes of these patterns should be investigated a posteriori. Patterns can vary from simple ones, composed by few highly congruent species, to complex, with numerous alternative component species and spatial configurations, depending on particular parameter settings as determined by the investigator. This approach eliminates or reduces limitations of other methods and permits pattern description without hidden assumptions about processes, and so should make a valuable contribution to the biogeographer’s toolbox. “If there is any basic unit of biogeography, it is the geographic range of a species. ” - Brown, Stevens & Kaufman [1]. “[spatial] congruence […] should be optimized, while realizing that this criterion will most likely never be fully met” - HP Linder [2].
Positive and neutral updating reconsolidate aversive episodic memories via different routes

Aversive memories are long-lasting and prone to have adverse effects on our emotional wellbeing and mental health. Yet, how to remedy the maladaptive effects of aversive memories remains elusive. Using memory reactivation and emotional updating manipulations, we investigated how positive and neutral emotion updates aversive memories for reconsolidation in humans. We found that positive updating after reactivation was equivalent to neutral updating in altering true memories of the aversive story, but introduced more false memory. Moreover, an additional 12 hours of sleep reconsolidation did not further enlarge true memory differences, but attenuated the effect of reactivation and updating on false memory. Interestingly, the neutral rather than the positive updating reduced the emotional arousal of the aversive memory 24 hours later. Our findings provide novel insights into real-world therapeutic applications regarding how updating with positive and neutral emotion may reshape aversive memories, especially when taking wake- and sleep-filled reconsolidation into account.
Repeated injury promotes tracheobronchial tissue stem cell attrition

Chronic lung disease has been attributed to stem cell aging and/or exhaustion. To address this issue, we investigated the lifespan of tracheobronchial tissue stem cells (TSC) over time and in response to repeated injury. Chromatin and nucleotide labeling studies in mice indicated that: 1) injury activated a subset of the TSC pool and that this process conserved TSC over time; and 2) activated TSC were predisposed to further proliferation and this activated state lead to terminal differentiation. Analysis of human TSC and clonal isolates indicated that repeated TSC proliferation led to telomere shortening and analysis of TSC from Dyskeratosis Congenita donors indicated that mutations in telomere biology genes accelerated TSC depletion. RNAseq and functional studies indicated that human TSC terminated as a secretory committed cell. These data support a model in which a repeated epithelial injury depletes the TSC pool and initiates the abnormal repair associated with chronic lung disease.
Emergent organization of multiple visuotopic maps without a feature hierarchy

The primate visual system is comprised of multiple visual areas. Despite their foundational relevance, there are no normative accounts for why there are multiple areas nor why they have their signature “mirrored map” topography. Here I show that the stereotyped cortical organization of multiple mirrored areas naturally emerges in simulated cortex, in which self-organizing processes are used to map a multi-scale representation of visual space smoothly onto a two-dimensional cortical sheet. Predominant accounts of multiple areas emphasize hierarchical processing, where each area extends and elaborates on the previous areas’ representation. Here, no explicit hierarchical relationships were required to manifest this multi-areal organization, suggesting that feature hierarchies may be the derived rather than the driving force of this organization. This modeling work thus provides a simple computational explanation for the hallmark features of early visual topography, and the presence of multiple areas, as emergent from a single functional goal — to smoothly represent the visual field at multiple spatial scales. One Sentence Summary This work presents a formal model of simulated cortex with multiple visual areas, where purely spatial relationships underlie the large-scale motifs of visual cortex.
Local genetic context shapes the function of a gene regulatory network

Gene expression levels are influenced by multiple coexisting molecular mechanisms. Some of these interactions, such as those of transcription factors and promoters have been studied extensively. However, predicting phenotypes of gene regulatory networks remains a major challenge. Here, we use a well-defined synthetic gene regulatory network to study how network phenotypes depend on local genetic context, i.e. the genetic neighborhood of a transcription factor and its relative position. We show that one gene regulatory network with fixed topology can display not only quantitatively but also qualitatively different phenotypes, depending solely on the local genetic context of its components. Our results demonstrate that changes in local genetic context can place a single transcriptional unit within two separate regulons without the need for complex regulatory sequences. We propose that relative order of individual transcriptional units, with its potential for combinatorial complexity, plays an important role in shaping phenotypes of gene regulatory networks.
Different translation dynamics of β- and γ-actin regulates cell migration

β- and γ-cytoplasmic actins are ubiquitously expressed in every cell type and are nearly identical at the amino acid level but play vastly different roles in vivo. Their essential roles in embryogenesis and cell migration critically depend on the nucleotide sequences of their genes, rather than their amino acid sequence. However it is unclear which gene elements underlie this effect. Here we address the specific role of the coding sequence in β- and γ-cytoplasmic actins’ intracellular functions, using stable cell lines with exogenously expressed actin isoforms and their “codon-switched” variants. When targeted to the cell periphery using the β-actin 3′UTR, β-actin and γ-actin have differential effects on cell migration. These effects directly depend on the coding sequence. Single molecule measurements of actin isoform translation, combined with fluorescence recovery after photobleaching, demonstrate a pronounced difference in β- and γ-actins’ translation elongation rates, leading to changes in their dynamics at focal adhesions, impairments in actin bundle formation, and reduced cell anchoring to the substrate during migration. Our results demonstrate that coding sequence-mediated differences in actin translation play a key role in cell migration.
Environmental enrichment delays the development of stereotypic behavior and reduces variability in behavioral experiments using California mice (Peromyscus californicus)

Domesticated mice and rats have shown to be powerful model systems for biomedical research, but there are cases in which the biology of species is a poor match for the hypotheses under study. The California mouse (Peromyscus californicus) has unique physiological and behavioral traits and has emerged as a powerful model for studying sex differences in the biology of psychiatric disease, which is particularly relevant considering the new NIH guidelines that require the inclusion of sex as a biological variable. Despite its growing role in preclinical research, there is a lack of studies assessing species-specific housing needs, which presents a challenge for research facilities seeking to ensure good welfare and obtaining high-quality experimental data. Indeed, captive California mice present a high prevalence of stereotypic backflipping behavior, a common consequence of suboptimal housing and a potential source of experimental outcome variability. Using three different cage systems, the present studies show that increasing housing space as well as social and environmental complexity can delay the development of stereotypic behavior in male and female California mice. Critically, this reduction in stereotypy is accompanied by increased effect sizes of stress in an established model for social anxiety. These results suggest that increased cage size and enrichment could enhance welfare in California mice while simultaneously increasing the quality of behavioral experiments.
Oncofly: A CURE for Cancer

Course-based Undergraduate Research Experiences (CURE’s) are emerging as a means to engage large numbers of undergraduate students in meaningful inquiry-based research activities. We describe here a simple laboratory exercise as part of an undergraduate genetics course that illustrates the contributions of oncogenes and tumor suppressors to the formation of neoplasms in an invertebrate model system. In addition, students were challenged to investigate whether flies reared on a diet containing a variety of additives display a higher number of invasive tumors in the larval abdomen. The goal of the exercise was to (i) familiarize students with the multigenic origin of the cancer phenotype, to (ii) introduce some of the fundamental molecular cancer hallmarks, and to (iii) highlight the significance of invertebrate model systems in biomedical research. Furthermore, (iv) students learn to execute a molecular test for transgenic produce and (v) apply statistical tools to test a simple hypothesis. We evaluated student learning and changes in opinions and attitudes relating to environmental versus genetic causes of cancer and several common misconceptions using a questionnaire before and after completing the exercise. Overall, significant improvements in the rate of factually correct responses and reductions in uncertainty were demonstrated. Although resistance to change was apparent in regard to identifying some risk factors, there was clear learning and understanding of the core concepts of carcinogenesis and the utility of basic research with model organisms.
Proton-gated coincidence detection is a common feature of GPCR signaling

Significance In complex biological systems, cells are constantly exposed to multiple physical and chemical stimuli. To decode such diverse inputs, cells use proteins embedded in the membrane to distinguish signal from noise and mount appropriate cellular responses. G protein-coupled receptors (GPCRs) represent the largest family of cell surface receptors in humans with more than 800 unique members. Here, we show that many GPCRs function as molecular coincidence detectors that couple proton (H+) binding to receptor agonism. Our findings provide insights into the fundamentals of GPCR signaling and avenues for exploring GPCR responses to coincident H+ signals generated by a variety of biological processes and pathological scenarios. The evolutionary expansion of G protein-coupled receptors (GPCRs) has produced a rich diversity of transmembrane sensors for many physical and chemical signals. In humans alone, over 800 GPCRs detect stimuli such as light, hormones, and metabolites to guide cellular decision-making primarily using intracellular G protein signaling networks. This diversity is further enriched by GPCRs that function as molecular sensors capable of discerning multiple inputs to transduce cues encoded in complex, context-dependent signals. Here, we show that many GPCRs are coincidence detectors that couple proton (H+) binding to GPCR signaling. Using a panel of 28 receptors covering 280 individual GPCR-Gα coupling combinations, we show that H+ gating both positively and negatively modulates GPCR signaling. Notably, these observations extend to all modes of GPCR pharmacology including ligand efficacy, potency, and cooperativity. Additionally, we show that GPCR antagonism and constitutive activity are regulated by H+ gating and report the discovery of an acid sensor, the adenosine A2a receptor, which can be activated solely by acidic pH. Together, these findings establish a paradigm for GPCR signaling, biology, and pharmacology applicable to acidified microenvironments such as endosomes, synapses, tumors, and ischemic vasculature.
AncestralClust: Clustering of Divergent Nucleotide Sequences by Ancestral Sequence Reconstruction using Phylogenetic Trees

Motivation Clustering is a fundamental task in the analysis of nucleotide sequences. Despite the exponential increase in the size of sequence databases of homologous genes, few methods exist to cluster divergent sequences. Traditional clustering methods have mostly focused on optimizing high speed clustering of highly similar sequences. We develop a phylogenetic clustering method which infers ancestral sequences for a set of initial clusters and then uses a greedy algorithm to cluster sequences. Results We describe a clustering program AncestralClust, which is developed for clustering divergent sequences. We compare this method with other state-of-the-art clustering methods using datasets of homologous sequences from different species. We show that, in divergent datasets, AncestralClust has higher accuracy and more even cluster sizes than current popular methods. Availability and implementation AncestralClust is an Open Source program available at https://github.com/lpipes/ancestralclust. Contact lpipes@berkeley.edu Supplementary information Supplementary figures and table are available online.
Determinants of genetic diversity and species richness of North American amphibians

Ecological limits on the population sizes and number of species a region is capable of supporting are thought to simultaneously produce spatial patterns in genetic diversity and species richness. However, we do not know the extent to which resource-based environmental limits jointly determine these patterns of biodiversity in ectotherms because of their low energy requirements compared to endotherms. Here, we adapt a framework for the ways ecological limits may shape genetic diversity and species richness previously tested in mammals for amphibians to determine whether similar processes produce continental patterns of biodiversity across both taxa. Repurposing open, raw microsatellite data from 19 species sampled at 554 sites in North America we found that spatial patterns of genetic diversity run opposite to patterns of species richness and genetic differentiation. However, while measures of resource availability and niche heterogeneity predict 89% of the variation in species richness, these landscape metrics are poor predictors of genetic diversity. Although heterogeneity appears to be an important driver of genetic and species biodiversity patterns in both amphibians and mammals, our results suggest that variation in genetic diversity both within and across species makes it difficult to infer general processes producing spatial patterns of amphibian genetic diversity.
Coordinated overexpression of OsSUT1, OsSWEET11 and OsSWEET14 in rice impairs carbohydrate metabolism that has implications in plant growth, yield and susceptibility to Xanthomonas oryzae pv oryzae (Xoo)

Enhancing carbohydrate export to sink tissues is considered as a feasible approach for improving photosynthetic efficiency and crop yield. In Oryza sativa Sucrose Transporter OsSUT1 located in companion cells and Sugars Will Eventually be Exported Transporters (SWEETs); OsSWEET11 and OsSWEET14 present in phloem parenchyma mesophyll cell plasma membranes are involved in long distance sucrose transport. OsSWEET11 and OsSWEET14 also play important role in host-pathogen interaction of rice plants and Xanthomonas oryzae pv oryzae (Xoo) that causes bacterial leaf blight. Three genes, OsSUT1, OsSWEET11, and OsSWEET14 were overexpressed under the control of their native promoters in rice to modulate long distance sugar transport and disease resistance. The transgenics displayed several phenotypic aberrations such as reduced plant height and seed weight due to altered sucrose transport and metabolism. Lower sucrose transport rate in transgenics than the WT resulted in reduced sucrose, fructose and glucose and increased starch accumulation in their leaves at the end of dark period. Transcriptional analysis revealed a reduction in the expression of genes involved in sucrose synthesis pathway in transgenics. Normal growth and development of transgenic seedlings were restored in growth media supplemented with 3% sucrose demonstrating in planta sucrose limitation. Remarkably, transgenic lines had diminished susceptibility to Xoo than the WTs due to low sugar content in the leaves demonstrating that rice plants maintain an optimum level of SWEETs for proper plant growth and development, and upregulation of these SWEETs in rice mimicks Xoo attack impelling plants to reduce sugar content in the apoplasm to inhibit pathogen growth.