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Woods, C.

Publications and source records attributed to Woods, C..

14 recordsLinked to original sources

Fitness costs of antibiotic resistance mutations in rich media do not reliably predict those in infection-like environments

The acquisition of antibiotic resistance is typically associated with a fitness cost, reducing the competitive ability of cells in the absence of antibiotics. Our ability to predict these costs informs our ability to predict how likely it is that resistance will subside in the absence of treatment. Fitness costs are typically measured in laboratory cultures using a nutritionally rich medium for growth. Here, we tested the impact of infection-like environments on the prevalence and magnitude of fitness costs associated with antibiotic resistance mutations in the opportunistic pathogen Pseudomonas aeruginosa. We assessed two different clinically relevant infection niches, the lung and urinary tract, through the use of infection-niche mimicking media that models the chemical compositions of these niches. The fitness costs of resistance mutations in rich media did not reliably predict those in infection-like environments, on average costs were increased in the lung-mimicking environment and costly mutations were less prevalent in the urinary tract-mimicking environment. Synthetic human urine significantly enhanced the fitness of P. aeruginosa with resistance mutations in nfxB, encoding a multidrug efflux pump transcriptional repressor, and we identified oxalate as the likely component driving this effect. Our findings highlight the importance of environmental chemical composition for shaping the fitness costs of resistance in P. aeruginosa and suggest that nfxB mutants may have a selective advantage in the urinary tract, mediated by the presence of oxalate.

microbiology↗

MeLSI: Metric Learning for Statistical Inference in Microbiome Community Composition Analysis

Microbiome beta diversity analysis relies on distance-based methods including PERMANOVA combined with fixed ecological distance metrics (Bray-Curtis, Euclidean, Jaccard, and UniFrac), which treat all microbial taxa uniformly regardless of their biological relevance to community differences. This "one-size-fits-all" approach may miss subtle but biologically meaningful patterns in complex microbiome data. We present MeLSI (Metric Learning for Statistical Inference), a novel machine learning framework that learns data-adaptive distance metrics optimized for detecting community composition differences in multivariate microbiome analyses. MeLSI employs an ensemble of weak learners using bootstrap sampling, feature subsampling, and gradient-based optimization to learn optimal feature weights, combined with rigorous permutation testing for statistical inference. The learned metrics can be used with PERMANOVA for hypothesis testing and with Principal Coordinates Analysis (PCoA) for ordination visualization. Comprehensive validation on synthetic benchmarks and real datasets shows that MeLSI maintains proper Type I error control while delivering competitive or superior F-statistics when signal structure aligns with CLR-based weighting and, crucially, supplies interpretable feature-weight profiles that clarify which taxa drive group separation. On the Atlas1006 dataset, MeLSI achieved stronger effect sizes than the best traditional methods, and even when performance was comparable, the learned feature weights provided biological insight that fixed metrics cannot supply. MeLSI therefore offers a statistically rigorous tool that augments beta diversity analysis with transparent, data-driven interpretability. IMPORTANCEUnderstanding which microbes differ between groups of interest could reveal therapeutic targets and diagnostic biomarkers. However, current analysis methods treat all microbes equally (similar to using the same ruler to measure everything, regardless of what matters most). This means subtle but clinically important differences may go undetected, especially when only a few key species drive disease while hundreds of "bystander" species add noise. MeLSI solves this by learning which microbes matter most for each specific comparison. In comparing male and female gut microbiomes, MeLSI identified specific bacterial families driving the differences, providing actionable biological insights that standard methods miss. This capability is particularly crucial for detecting early disease biomarkers, where differences are subtle and masked by biological variability. By telling researchers not just whether groups differ, but which specific microbes drive those differences, MeLSI accelerates the path from microbiome data to testable biological hypotheses and clinical applications.

microbiology↗

Familial Alzheimers disease mutations impair neutrophil phagocytosis and release of immune modulators

Recent reports show that neutrophil activity plays a role in the cognitive decline associated with Alzheimers Disease (AD). There is evidence of altered functions in neutrophils isolated from AD patients. Whether these altered functions are inherent to the AD disease state is unknown. The goal of this study was to determine if neutrophil functions are altered in AD mice and if these changes occur only after symptoms appear. To address this hypothesis, we used a primary neuronal culture model, generated from 3xTg perinatal mice, since AD is considered a CNS disease. The 3xTg primary neuronal culture gradually increase the release of A{beta} (40 and 42) as the culture ages. To assess neutrophil functions, neutrophils isolated from young male/female mice (3-6 months of age) or aged male/female mice (16-18 months of age) of WT or 3xTg mice were exposed to 3xTg primary neuronal cultures. To assess phagocytosis, we characterized the effect of neutrophils on pathogenic amyloid beta (A{beta}) 42 levels. To assess the levels of immune modulators (cytokines, chemokines, growth factors, NETosis, and neutrophil granular content), culture media were assessed using Luminex multiplex assay. Our results show that neutrophils from young AD mice have impaired phagocytosis, as observed in a decreased ability to remove A{beta} and cellular debris in vitro. Neutrophils from young AD mice also increased release of pro-inflammatory cytokines, granule content, and NETs in 3xTg primary neuronal cultures. Interestingly, neutrophils from aged 3xTg mice decreased A{beta} levels in culture and expression of proinflammatory cytokines when compared to neutrophils from aged WT mice. These neutrophils increased their release of granule content and NETs in 3xTg primary neuronal cultures. These data show that in AD neutrophil function is altered both prodromal (young mice) and diseased (old mice) stage.

immunology↗

Aging changes the underlying mechanism of JAK2 modulation in neutrophil function

Janus Kinase 2 (JAK2) has been linked to various neutrophil functions, but the intracellular mechanisms underlying its modulation are unknown. Neutrophils are essential cells for host defense. Neutrophil effector functions include migration, reactive oxygen species (ROS) production, degranulation, and neutrophil extracellular trap (NET) formation. The goal of this study was to elucidate the signaling mechanism through which JAK2 modulates neutrophil function and the effect of aging on this pathway. We hypothesized that JAK2-mediated modulation changes the molecular mechanisms associated with neutrophil function in an age- and sex-dependent manner. Neutrophils from young (3 months) and aged (22+ months), male and female C57BL/6J mice were isolated, treated with a JAK2 inhibitor (AZD1480) or a pan-JAK inhibitor (Baricitinib), and stimulated with Phorbol 12-myristate 13-acetate (PMA). Functional assays were conducted to assess migration, ROS production, degranulation, NETosis, and metabolism. Mass spectrometry and Luminex assays provided proteomic and cytokine profiles. Our data show that JAK2 promotes migration via membrane composition and actin remodeling, with age-dependent shifts in chemokine secretion. JAK2 indirectly affects NETosis by modulating IL-1 signaling and ROS production. It also primes ROS production by altering NADPH oxidase components. In young neutrophils, JAK2 influences degranulation through actin remodeling, while aged neutrophils display impaired granule release. Metabolically, JAK2 enhances pentose phosphate pathway activity in young neutrophils and decreases glycogen breakdown in aged cells. These findings reveal mechanisms by which JAK2 modulates neutrophil function and suggest age-specific therapeutic targeting in inflammatory diseases.

immunology↗

Perimenopause promotes neuroinflammation in select hippocampal regions in a mouse model of Alzheimers disease

Alzheimers disease (AD) is the most common neurodegenerative disorder characterized by age-dependent amyloid beta (A{beta}) aggregation and accumulation, neuroinflammation, and cognitive deficits. Significantly, there are prominent sex differences in the risk, onset, progression, and severity of AD, as well as response to therapies, with disease burden disproportionately affecting women. Although menopause onset (i.e., perimenopause) may be a critical transition stage for AD susceptibility in women, the role of early ovarian decline in initial disease pathology, particularly key neuroinflammatory processes, is not well understood. To study this, we developed a unique mouse model of perimenopausal AD by combining an accelerated ovarian failure (AOF) model of menopause induced by 4-vinylcyclohexene diepoxide (VCD) with the 5xFAD transgenic AD mouse model. To target early stages of disease progression, 5xFAD females were studied at a young age ([~]4 months) and at the beginning stage of ovarian failure analogous to human perimenopause (termed "peri-AOF"), and compared to age-matched males. Assessment of neuropathology was performed by immunohistochemical labeling of A{beta} as well as markers of astrocyte and microglia activity in the hippocampus, a brain region involved in learning and memory that is deleteriously impacted during AD. Our results show that genotype, AOF, and sex contributed to AD-like pathology. Aggregation of A{beta} was heightened in female 5xFAD mice and further increased at peri-AOF, with hippocampal subregion specificity. Further, select increases in glial activation also paralleled A{beta} pathology in distinct hippocampal subregions. However, cognitive function was not affected by peri-AOF. These findings align with the hypothesis that perimenopause constitutes a period of susceptibility for AD pathogenesis in women.

neuroscience↗

Assessing the Biosecurity Risk of Footwear as a Fomite for Transmission of Adventitious Infectious Agents to Mice

The soles of staff shoes accessing vivaria can become contaminated on urban streets, potentially serving as a source of fomite-mediated transmission of adventitious agents to laboratory rodents. While shoe covers may mitigate this risk, donning them can lead to hand contamination. Staff accessing our vivaria use motor-driven shoe cleaners hundreds of times daily to remove and collect particulates via a vacuum collection system from the top, sole, and sides of shoes instead of shoe covers. Shoe cleaner debris (SCD) and contact media (CM) exposed to SCD from shoe cleaners in 5 vivaria were assessed by PCR for 84 adventitious agents. SCD and CM samples tested positive for 33 and 37 agents, respectively, and a combined 39 agents total. To assess SCD infectivity, NSG and Swiss outbred mice were housed for 7 days in direct contact with SCD and oronasally inoculated with a suspension created from SCD collected from each of the 5 vivaria. Mice were tested by PCR and serology 3-, 7-, 14- and 63-days post-inoculation. All mice remained healthy until the studys end and tested negative for all agents found in SCD/CM except murine astrovirus 1, Staphyloccocus xylosus and Candidatus Savagella, agents known to be enzootic in the experimental mouse source colony. In a follow-up study, the soles of 27 staff street shoes were directly sampled using CM. Half of CM was used for PCR, while the other half was added as bedding material to a cage containing NSG and Swiss outbred mice. While CM tested positive for 11 agents, all mice were healthy 63 days post-exposure and again positive for only enzootic agents. These results suggest that shoe debris might not be a significant biosecurity risk to laboratory mice, questioning the need for shoe covers or cleaners when entering experimental barrier vivaria.

microbiology↗

Chlamydia muridarum Causes Persistent Subclinical Infection and Elicits Innate and Adaptive Immune Responses in C57BL/6J, BALB/cJ and J:ARC(S) Mice Following Exposure to Shedding Mice

Chlamydia muridarum (Cm) has reemerged as a moderately prevalent infectious agent in research mouse colonies. Despite its experimental use, few studies evaluate Cms effects on immunocompetent mice following its natural route of infection. A Cm field isolate was administered (orogastric gavage) to 8-week-old female BALB/cJ (C) mice. After confirming shedding (through 95d), these mice were cohoused with naive C57BL/6J (B6), C, and Swiss (J:ARC[S]) mice (n=28/strain) for 30 days. Cohoused mice (n=3-6 exposed and 1-6 control/strain) were evaluated 7, 14, 21, 63, 120, and 180 days post-cohousing (DPC) via hemograms, serum biochemistry analysis, fecal qPCR, histopathology, and Cm MOMP immunohistochemistry. Immunophenotyping was performed on spleen (B6, C, S; n=6/strain) and intestines (B6; n=6) at 14 and 63 DPC. Serum cytokine concentrations were measured (B6; n=6 exposed and 2 control) at 14 and 63 DPC. All B6 mice were shedding Cm by 3 through 180 DPI. One of 3 C and 1 of 6 S mice began shedding Cm at 3 and 14 DPC, respectively, with the remaining shedding thereafter. Clinical pathology was nonremarkable. Minimal-to-moderate enterotyphlocolitis and gastrointestinal associated lymphoid tissue (GALT) hyperplasia was observed in 15 and 47 of 76 Cm-infected mice, respectively. Cm antigen was frequently detected in GALT-associated surface intestinal epithelial cells. Splenic immunophenotyping revealed increased monocytes and shifts in T cell population subsets in all strains/timepoints. Gastrointestinal immunophenotyping (B6) revealed sustained increases in total inflammatory cells and elevated cytokine production in innate lymphoid cells and effector T cells (large intestine). Elevated concentrations of pro-inflammatory cytokines were detected in the serum (B6). Results demonstrate that while clinical disease was not appreciated, 3 commonly utilized strains of mice are susceptible to chronic enteric Cm infection which may alter various immune responses. Considering the widespread use of mice to model GI disease, institutions should consider excluding Cm from their colonies.

microbiology↗

Human Immune Cell Epigenomic Signatures in Response to Infectious Diseases and Chemical Exposures

The epigenomic landscape of human immune cells is dynamically shaped by both genetic factors and environmental exposures. However, the relative contributions of these elements are still not fully understood. In this study, we employed single-nucleus methylation sequencing and ATAC-seq to systematically explore how pathogen and chemical exposures, along with genetic variation, influence the immune cell epigenome. We identified distinct exposure-associated differentially methylated regions (eDMRs) corresponding to each exposure, revealing how environmental factors remodel the methylome, alter immune cell states, and affect transcription factor binding. Furthermore, we observed a significant correlation between changes in DNA methylation and chromatin accessibility, underscoring the coordinated response of the epigenome. We also uncovered genotype-associated DMRs (gDMRs), demonstrating that while eDMRs are enriched in regulatory regions, gDMRs are preferentially located in gene body marks, suggesting that exposures and genetic factors exert differential regulatory control. Notably, disease-associated SNPs were frequently colocalized with meQTLs, providing new cell-type-specific insights into the genetic basis of disease. Our findings underscore the intricate interplay between genetic and environmental factors in sculpting the immune cell epigenome, offering a deeper understanding of how immune cell function is regulated in health and disease.

genomics↗

Parasitism does not reduce thermal limits in the intermediate host of a bopyrid isopod

Parasitism has strong effects on community dynamics. Given the detrimental effects parasites have on host health, infection or infestation might be expected to reduce upper thermal limits, increasing the vulnerability of host species to future climate change. Copepods are integral components of aquatic food webs and biogeochemical cycles. They also serve as intermediate hosts in the life cycle of parasitic isopods in the family Bopyridae. Given the important effects both copepods and isopod parasites play in aquatic communities, it is important to understand how the interaction between parasite and host affects thermal limits in order to better predict how community dynamics may change in a warming climate. Here we examined the effect of infestation by larvae of a bopyrid isopod on cosmopolitan copepod Acartia tonsa to test the hypothesis that infestation reduces thermal limits. To aid with this work, we developed an affordable, highly portable system for measuring critical thermal maxima of small ectotherms. We also used meta-analysis to summarize the effects of parasitism on critical thermal maxima in a wider range of taxa to help contextualize our findings. Contrary to both our hypothesis and the results of previous studies, we observed no reduction of thermal limits by parasitism in A. tonsa. These results suggest that life history of the host and parasite may interact to determine how parasite infestation affects environmental sensitivity.

physiology↗

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

We seek to completely revise current models of airborne transmission of respiratory viruses by providing never-before-seen atomic-level views of the SARS-CoV-2 virus within a respiratory aerosol. Our work dramatically extends the capabilities of multiscale computational microscopy to address the significant gaps that exist in current experimental methods, which are limited in their ability to interrogate aerosols at the atomic/molecular level and thus ob-scure our understanding of airborne transmission. We demonstrate how our integrated data-driven platform provides a new way of exploring the composition, structure, and dynamics of aerosols and aerosolized viruses, while driving simulation method development along several important axes. We present a series of initial scientific discoveries for the SARS-CoV-2 Delta variant, noting that the full scientific impact of this work has yet to be realized. ACM Reference FormatAbigail Dommer1{dagger}, Lorenzo Casalino1{dagger}, Fiona Kearns1{dagger}, Mia Rosenfeld1, Nicholas Wauer1, Surl-Hee Ahn1, John Russo,2 Sofia Oliveira3, Clare Morris1, AnthonyBogetti4, AndaTrifan5,6, Alexander Brace5,7, TerraSztain1,8, Austin Clyde5,7, Heng Ma5, Chakra Chennubhotla4, Hyungro Lee9, Matteo Turilli9, Syma Khalid10, Teresa Tamayo-Mendoza11, Matthew Welborn11, Anders Christensen11, Daniel G. A. Smith11, Zhuoran Qiao12, Sai Krishna Sirumalla11, Michael OConnor11, Frederick Manby11, Anima Anandkumar12,13, David Hardy6, James Phillips6, Abraham Stern13, Josh Romero13, David Clark13, Mitchell Dorrell14, Tom Maiden14, Lei Huang15, John McCalpin15, Christo- pherWoods3, Alan Gray13, MattWilliams3, Bryan Barker16, HarindaRajapaksha16, Richard Pitts16, Tom Gibbs13, John Stone6, Daniel Zuckerman2*, Adrian Mulholland3*, Thomas MillerIII11,12*, ShantenuJha9*, Arvind Ramanathan5*, Lillian Chong4*, Rommie Amaro1*. 2021. #COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy ofDeltaSARS-CoV-2 in a Respiratory Aerosol. In Supercomputing 21: International Conference for High Perfor-mance Computing, Networking, Storage, and Analysis. ACM, New York, NY, USA, 14 pages. https://doi.org/finalDOI

biophysics↗

Application of transposon-insertion sequencing to determine gene essentiality in the acetogen Clostridium autoethanogenum

The majority of the genes present in bacterial genomes remain poorly characterised with up to one third of those that are protein encoding having no definitive function. Transposon insertion sequencing represents a high-throughput technique that can help rectify this deficiency. The technology, however, can only be realistically applied to easily transformable species leaving those with low DNA-transfer rates out of reach. Here we have developed a number of approaches that overcome this barrier in the autotrophic species Clostridium autoethanogenum using a mariner-based transposon system. The inherent instability of such systems in the Escherichia coli conjugation donor due to transposition events was counteracted through the incorporation of a conditionally lethal codA marker on the plasmid backbone. Relatively low frequencies of transformation of the plasmid into C. autoethanogenum were circumvented through the use of a plasmid that is conditional for replication coupled with the routine implementation of an Illumina library preparation protocol that eliminates plasmid-based reads. A transposon library was then used to determine the essential genes needed for growth using carbon monoxide as a sole carbon and energy source. IMPORTANCEAlthough microbial genome sequences are relatively easily determined, assigning gene function remains a bottleneck. Consequently, relatively few genes are well characterised, leaving the function of many as either hypothetical or entirely unknown. High-throughput, transposon sequencing can help remedy this deficiency, but is generally only applicable to microbes with efficient DNA-transfer procedures. These exclude many microorganisms of importance to humankind either as agents of disease or as industrial process organisms. Here we developed approaches to facilitate transposon-insertion sequencing in the acetogen Clostridium autoethanogenum, a chassis being exploited to convert single-carbon waste gases, CO and CO2, into chemicals and fuels at an industrial scale. This allowed the determination of gene essentiality under heterotrophic and autotrophic growth providing insights into the utilisation of CO as a sole carbon and energy source. The strategies implemented are translatable and will allow others to apply transposon-insertion sequencing to other microbes where DNA-transfer has until now represented a barrier to progress.

molecular biology↗

A potent SARS-CoV-2 neutralizing human monoclonal antibody that reduces viral burden and disease severity in Syrian hamsters

The emergence of COVID-19 has led to a pandemic that has caused millions of cases of disease, variable morbidity and hundreds of thousands of deaths. Currently, only remdesivir and dexamethasone have demonstrated limited efficacy, only slightly reducing disease burden, thus novel approaches for clinical management of COVID-19 are needed. We identified a panel of human monoclonal antibody clones from a yeast display library with specificity to the SARS-CoV-2 spike protein receptor binding domain that neutralized the virus in vitro. Administration of the lead antibody clone to Syrian hamsters challenged with SARS-CoV-2 significantly reduced viral load and histopathology score in the lungs. Moreover, the antibody interrupted monocyte infiltration into the lungs, which may have contributed to the reduction of disease severity by limiting immunopathological exacerbation. The use of this antibody could provide an important therapy for treatment of COVID-19 patients.

microbiology↗

Pioneer factor Foxa2 enables ligand-dependent activation of LXRα

Type II nuclear hormone receptors, such as FXR, LXR, and PPAR, which function in glucose and lipid metabolism and serve as drug targets for metabolic diseases, are permanently positioned in the nucleus regardless of the ligand status. Ligand activation of these receptors is thought to occur by co-repressor/co-activator exchange, followed by initiation of transcription. However, recent genome-wide location analysis showed that LXR and PPAR binding in the liver is largely ligand-dependent. We hypothesized that pioneer factor Foxa2 evicts nucleosomes to enable ligand-dependent receptor binding. We show that chromatin accessibility, LXR occupancy, and LXR-dependent gene expression upon ligand activation require Foxa2. Unexpectedly, Foxa2 occupancy is drastically increased when LXR is bound by an agonist. Our results suggest that Foxa2 and LXR bind DNA as an interdependent complex during ligand activation. Our model requiring pioneering activity for ligand activation challenges the existing co-factor exchange mechanism and expands current understanding of nuclear receptor biology, suggesting that chromatin accessibility needs to be considered in design of drugs targeting nuclear receptors.

genetics↗

Loss of function variants in PCYT1A causing spondylometaphyseal dysplasia with cone/rod dystrophy have broad consequences on lipid metabolism, chondrocyte differentiation, and lipid droplet formation.

AbstractSpondylometaphyseal dysplasia with cone-rod dystrophy (SMD-CRD) is a rare autosomal recessive disorder of the skeleton and the retina caused by biallelic variants in PCYT1A, encoding the nuclear enzyme CTP:phosphocholine cytidylyltransferase (CCT), which catalyzes the rate-limiting step in phosphatidylcholine (PC) biosynthesis by the Kennedy pathway. As a first step in understanding the consequences of PCYT1A variants on SMD-CRD pathophysiology, we generated and characterized a series of cellular models for SMD-CRD, including CRISPR-edited PCYT1A-null HEK293 and ATDC5 cell lines. Immunoblot and PC synthesis assays of cultured skin fibroblasts from SMD-CRD patient cell lines revealed patient genotype-specific reductions in CCT steady state levels (10-75% of wild-type) and choline incorporation into PC (22-54% of wild-type). While PCYT1A-null HEK293 cells exhibited fewer and larger lipid droplets in response to oleate loading than their wild-type counterparts, SMD-CRD patient fibroblasts (p.Ser323Argfs*38 homozygotes) failed to show significant differences in lipid droplet numbers or sizes as compared to controls. Lipid droplet phenotypes in PCYT1A-null HEK293 cells were rescued by transfection with wild-type, p.Ala99Val, and p.Tyr240His human PCYT1A cDNAs. While both edited cellular models had normal morphology and proliferation rates compared to unedited controls, Pcyt1a-null ATDC5 cells demonstrated accelerated rates of chondrocyte differentiation as compared to their wild-type counterparts. Lipidomics revealed changes in 75-200 lipid levels in PCYT1A-null HEK293 and ATDC5 cells or in SMD-CRD patient fibroblasts as compared to wild-type controls. The specific lipids altered and extent of change varied by cell type. Importantly, both PCYT1A-null HEK293 cells and SMD-CRD patient fibroblast cell lines had decreased phosphatidylcholine:phosphatidylethanolamine (PC:PE) ratios and decreased levels of several lysophosphatidylcholine (LPC) species as compared to wild-type controls, suggesting compensatory PC production through increased LPC remodeling by LPCAT or decreased conversion of PC to LPC by phospholipase A2. Our results show that all tested PCYT1A alleles associated with SMD-CRD are hypomorphic and suggest involvement of PCYT1A in chondrocyte differentiation, PC:PE ratio maintenance and LPC metabolism, and lipid droplet formation. Author SummaryRare genetic disorders can reveal the function of genes on an organismal scale. When normal gene activity is lost, patients can experience a range of symptoms, often dependent on the residual activity of the encoded protein. Rare variants in the gene PCYT1A can cause multiple inherited disorders, including a disorder of the skeleton and the retina characterized by short stature, bone abnormalities, and blindness. PCYT1A is required for normal cellular function, particularly lipid metabolism, but the role of this gene in human disease is still poorly understood. To determine consequences of genetic variants in patients with this disorder, we made and studied a series of cellular models, including cells cultured from patients and CRISPR-edited cell lines lacking normal copies of PCYT1A. Here we show that patient variants lead to reduced PCYT1A expression and/or function and have adverse consequences on cell biology and lipid metabolism that are often cell-type specific. This work advances understanding of the role of lipid metabolism in skeletal and eye development.

genetics↗