Biology subjects

Smith, T. B.

Publications and source records attributed to Smith, T. B..

7 recordsLinked to original sources

bioRxiv2025

charisma: An R package to perform reproducible color characterization of digital images for biological studies

O_LIAdvances in digital imaging and software tools have provided increasingly accessible datasets and methods for analyzing color evolution. Despite the variety of computational packages available, most rely on color classification before running analyses. Previous methods to characterize color limit the ability to analyze large-scale image databases and are not always representative of biologically relevant color classes, which decrease the accuracy of downstream analyses. C_LIO_LIHere, we present charisma, an R package designed to characterize the distribution of distinct color classes in images suitable for large-scale studies of biological organisms. Here, we demonstrate the utility of our package through an analysis of color evolution in a sample of diverse and charismatic birds, tanagers, in the subfamily Thraupinae. C_LIO_LIWe show that charisma can quickly and accurately classify every pixel in an image and validate these results using pre-identified, canonical color swatches. We find that charisma color classifications are consistent with those made by color-pattern experts in the field. Applying charisma to tanager color evolution, we find that charisma outputs seamlessly integrate with downstream evolutionary analyses. C_LIO_LIOur results demonstrate that using charisma to manually curate and characterize colors in images provides a standardized, reliable, and reproducible framework for high-throughput color classification. C_LI Anonymized Data/Code for Peer ReviewO_LIAnalytic data/code for this manuscript can be found on the following Open Science Frame-work repo: https://osf.io/cqg59/overview?view_only=29c9786a338e48618fabbab2883937cc C_LIO_LIcharisma package GitHub repo: https://anonymous.4open.science/r/charisma-C87E/ C_LI

evolutionary biology↗

bioRxiv2024

Environmentally-mediated selection parallels population divergence across a chimpanzee subspecies contact zone

Species evolve from populations with ancestor-descendant relationships in a bifurcating process shaped by geography, gene flow, genetic drift, and natural selection leading to local adaptation to prevailing environmental and ecological conditions. Building on this foundational understanding, we explored local adaptation in chimpanzees (Pan troglodytes) at a key geographical intersection in Cameroon where the two main chimpanzee phylogenetic lineages converge. The Nigeria-Cameroon chimpanzee (P. t. ellioti) and central chimpanzee (P. t. troglodytes) last shared a common ancestor about 500 thousand years ago, with occasional gene flow between them. The evolutionary processes driving their prolonged separation are not fully understood, but neutral evolutionary mechanisms alone cannot account for the observed divergence pattern. Cameroon is often referred to as Africa in miniature because the Gulf of Guinea Forest, Congo Basin Forest, and savanna converge there, forming an ecotone. Thus, this contact zone between subspecies in Cameroon provides a unique natural laboratory that enabled us to investigate how environmental variation and natural selection shape divergence in chimpanzees. We developed a genome-wide panel of single-nucleotide polymorphisms (SNPs) in 112 wild chimpanzees sampled in multiple habitats across this contact zone. We augmented SNP discovery by sequencing eight new chimpanzee genomes from Cameroon and analyzing them with previously published chimpanzee genomes. We found that P. t. ellioti and P. t. troglodytes diverged from one another around 478,000 years ago and occasionally exchange migrants. We identified 1,690 unique SNPs across 905 genes associated with 31 environmental variables that describe the habitat. These genes are involved in essential biological processes, including immune response, neurological development, behavior, and dietary adaptations. This study highlights the importance of understanding the geographical context of natural selection, paving the way for future studies to interpret evidence for genetic variation with phenotypic traits and deepening our understanding of how populations diverge in response to environmental pressures. Author SummaryWe investigated how local adaptation contributes to shaping the diversification of chimpanzee subspecies at the geographical convergence point for the two major branches of the chimpanzee phylogenetic tree. We analyzed genome-wide SNP genotypes of 112 chimpanzees sampled from natural communities located in this understudied area. We used tiered methods that identified 905 genes subject to selection, each associated with one or more of 31 environmental predictors describing the habitat. We found strong signals of selection in immune response genes that separate P. t. troglodytes from P. t. ellioti, highlighting the important role of different pathogen histories in their evolution. We also found evidence of selection in genes associated with neurological development, behavior, and diet, that separate both the subspecies and populations of P. t. ellioti that occupy different niches. These findings suggest that ecological and cultural factors may also contribute to shaping the diversification of chimpanzees across the contact zone.

genomics↗

bioRxiv2024

A highly contiguous genome assembly for the Yellow Warbler (Setophaga petechia)

The Yellow Warbler (Setophaga petechia) is a small songbird in the New World Warbler family (Parulidae) that exhibits phenotypic and ecological differences across a widespread distribution and is important to Californias riparian habitat conservation. Here, we present a high-quality de novo genome assembly of a vouchered female Yellow Warbler from southern California. Using HiFi long-read and Omni-C proximity sequencing technologies, we generated a 1.22 Gb assembly including 687 scaffolds with a contig N50 of 6.80 Mb, scaffold N50 of 21.18 Mb, and a BUSCO completeness score of 96.0%. This highly contiguous genome assembly provides an essential resource for understanding the history of gene flow, divergence, and local adaptation and can inform conservation management of this charismatic bird species.

evolutionary biology↗

bioRxiv2021

Selection and structural characterisation of anti-TREM2 scFvs that reduce levels of shed ectodomain

Single point mutations in TREM2, a receptor expressed by microglia in the brain, are associated with an increased risk of neurodegeneration including Alzheimers disease. Numerous studies support a role for TREM2 in sensing damaging stimuli and triggering signalling cascades necessary for neuroprotection. Despite its significant role, ligands and regulators of TREM2 activation, and the mechanisms governing TREM2-dependent responses and its cleavage from the membrane, remain poorly characterised. Here, we present phage display generated scFv antibody binders to human TREM2 ectodomain. Cocrystal structures revealed the binding of two scFvs to an epitope on the globular TREM2 domain distal to the putative ligand-binding site. Enhanced functional activity was observed for oligomeric scFv species which inhibited the production of soluble TREM2 in a HEK293 cell model. We hope that detailed characterisation of their epitopes and properties will facilitate the use of these renewable binders as structural and functional biology tools for TREM2 research.

molecular biology↗

bioRxiv2020

Genetic variation reveals individual-level climate tracking across the full annual cycle of a migratory bird

For migratory species, seasonal movements complicate local climate adaptation, as it is unclear whether individuals track climate niches across the annual cycle. In the migratory songbird yellow warbler (Setophaga petechia), we find a correlation between individual-level wintering and breeding precipitation but not temperature. Birds wintering in the driest regions of the Neotropics breed in the driest regions of North America. Individuals from drier regions also possess distinct morphologies and population responses to varying rainfall. We find a positive association between bill size and breeding season precipitation which, given documented climate-associated genomic variation, might reflect adaptation to local precipitation regimes. Relative abundance in the breeding range is linked to interannual fluctuations in precipitation, but the directionality of this response varies across geography. Together, our results suggest that variation in climate optima may exist across the breeding range of yellow warblers and provide a mechanism for selection across the annual cycle.

evolutionary biology↗

bioRxiv2020

ShearFAST: a user-friendly in vitro toolset for high throughput, inexpensive fluid shear stress experiments.

Fluid shear stress is a key modulator of cellular physiology in vitro and in vivo, but its effects are under-investigated due to requirements for complicated induction methods. Herein we report the validation of ShearFAST; a smartphone application that measures the rocking profile on a standard laboratory cell rocker and calculates the resulting shear stress arising in tissue culture plates. ShearFAST measured rocking profiles were validated against a graphical analysis and also against measures reported by an 8-camera motion tracking system. ShearFAST angle assessments correlated well with both analyses (r [≥]0.99, p [≤]0.001) with no significant differences in pitch detected across the range of rocking angles tested. Rocking frequency assessment by ShearFAST also correlated well when compared to the two independent validatory techniques (r [≥]0.99, p [≤]0.0001), with excellent reproducibility between ShearFAST and video analysis (mean frequency measurement difference of 0.006 {+/-} 0.005Hz) and motion capture analysis (mean frequency measurement difference of 0.008 {+/-} 0.012Hz) These data make the ShearFAST assisted cell rocker model make it an attractive approach for economical, high throughput fluid shear stress experiments. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/929513v3_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@1d8c1eborg.highwire.dtl.DTLVardef@1a346eborg.highwire.dtl.DTLVardef@8503a8org.highwire.dtl.DTLVardef@b31a3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2016

Identifying Migrant Origins Using Genetics, Isotopes, and Habitat Suitability

O_LIIdentifying migratory connections across the annual cycle is important for studies of migrant ecology, evolution, and conservation. While recent studies have demonstrated the utility of high-resolution SNP-based genetic markers for identifying population-specific migratory patterns, the accuracy of this approach relative to other intrinsic tagging techniques has not yet been assessed.\nC_LIO_LIHere, using a straightforward application of Bayes' Rule, we develop a method for combining inferences from high-resolution genetic markers, stable isotopes, and habitat suitability models, to spatially infer the breeding origin of migrants captured anywhere along their migratory pathway. Using leave-one-out cross validation, we compare the accuracy of this combined approach with the accuracy attained using each source of data independently.\nC_LIO_LIOur results indicate that when each method is considered in isolation, the accuracy of genetic assignments far exceeded that of assignments based on stable isotopes or habitat suitability models. However, our joint assignment method consistently resulted in small, but informative increases in accuracy and did help to correct misassignments based on genetic data alone. We demonstrate the utility of the combined method by identifying previously undetectable patterns in the timing of migration in a North American migratory songbird, the Wilson's warbler.\nC_LIO_LIOverall, our results support the idea that while genetic data provides the most accurate method for tracking animals using intrinsic markers when each method is considered independently, there is value in combining all three methods. The resulting methods are provided as part of a new computationally-efficient R-package, GIAIH, allowing broad application of our statistical framework to other migratory animal systems.\nC_LI

ecology↗