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PubMed2025

Twisted Sister1: an agravitropic mutant of bread wheat (Triticum aestivum) with altered root and shoot architectures.

We identified a mutant of hexaploid wheat (Triticum aestivum) with impaired responses to gravity. The mutant, named Twisted Sister1 (TS1), had agravitropic roots that were often twisted along with altered shoot phenotypes. Roots of TS1 were insensitive to externally applied auxin, with the genetics and physiology suggestive of a mutated AUX/IAA transcription factor gene. Hexaploid wheat possesses over 80 AUX/IAA genes, and sequence information did not identify an obvious candidate. Bulked segregant analysis of an F2 population mapped the mutation to chromosome 5A, and subsequent mapping located the mutation to a 41 Mbp region. RNA-seq identified the TraesCS5A03G0149800 gene encoding a TaAUX/IAA protein to be mutated in the highly conserved domain II motif. We confirmed TraesCS5A03G0149800 as underlying the mutant phenotype by generating transgenic Arabidopsis thaliana. Analysis of RNA-seq data suggested broad similarities between Arabidopsis and wheat for the role of AUX/IAA genes in gravity responses, although there were marked differences. Here we show that the sequenced wheat genome, along with previous knowledge of the physiology of gravity responses from other plant species, gene mapping, RNA-seq, and expression in Arabidopsis have enabled the cloning of a key wheat gene that defines plant architecture.

Triticum↗

PubMed2026

Dolichocolon May Differentially Associate with Ulcerative Colitis Phenotype in Children.

BACKGROUND: Dolichocolon (DC) is an underrecognized anatomic variant associated with constipation; its association with ulcerative colitis (UC) is unknown. METHODS: We retrospectively reviewed abdominal MRI and CT scans in children with UC, Crohn's disease (CD), and non-inflammatory bowel disease (non-IBD) controls, classifying DC subtypes. RESULTS: A total of 111 cases (66 with UC) were examined. DC was similarly common (p = 0.4436) in patients with constipated (69%) or non-constipated (NC-UC: 57%) UC. In non-constipated (NC) patients, DC prevalence was higher in children with UC than those with CD or controls. Type 1 DC predominated in NC children with proctitis/left-sided UC (E1/E2), while Type 2 DC was enriched in children with extensive/pancolitis (E3/E4). DISCUSSION: DC may be associated with different phenotypes of UC and may influence disease distribution independent of constipation. However, given the cross-sectional design of this study, these associations should be interpreted cautiously and require confirmation in longitudinal studies.

Humans↗

PubMed2025

The ecology, evolution, and physiology of Cardinium: a widespread heritable endosymbiont of invertebrates.

Candidatus Cardinium hertigii (Cardinium) are maternally transmitted obligate intracellular bacteria found in a wide range of invertebrate hosts, including arthropods and nematodes. Infection with Cardinium has substantial consequences for host biology, with many strains manipulating host reproduction to favor symbiont transmission by (i) feminizing male hosts, (ii) altering host sex allocation, (iii) inducing parthenogenesis, or (iv) causing cytoplasmic incompatibility. Other Cardinium strains can confer benefits to their host or alter host behavior. Cardinium-modified host phenotypes can result in selective sweeps of cytological elements through host populations and potentially reinforce host speciation. Cardinium has potential for applications in controlling arthropod pest species and arthropod-vectored disease transmission, although much remains to be explored regarding Cardinium physiology and host interactions. In this review, we provide an overview of Cardinium evolution and host distribution. We describe the various host phenotypes associated with Cardinium and how biological and environmental factors influence these symbioses. We also provide an overview of Cardinium metabolism, physiology, and potential mechanisms for interactions with hosts based on recent studies using genomics and transcriptomics. Finally, we discuss new methodologies and directions for Cardinium research, including improving our understanding of Cardinium physiology, response to environmental stress, and potential for controlling arthropod pest populations.

Symbiosis↗

PubMed2026

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor-Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study.

BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Early identification of individuals at an elevated risk of these conditions, such as those presenting with mild cognitive impairment (MCI) or prefrailty, can provide a critical window for prompt intervention aimed at preventing or reversing disease progression. To promote such early identification, there is a burgeoning interest in the use of digital sensor technology and predictive modeling. OBJECTIVE: This study aimed to use a continuous, home-based monitoring sensor system for older adults to distinguish those exhibiting normal aging from those with MCI, early dementia, prefrailty, or frailty, and to predict their transition from normal aging to one of these conditions. METHODS: This longitudinal cohort study will recruit 200 community-dwelling adults aged ≥65 years with normal cognition or MCI at baseline. A multi-sensor system will be installed in participants' homes, including passive infrared motion sensors, door contact sensors, bed sensors, medication box sensors, wearable activity bands, and Bluetooth proximity beacons. These devices will continuously capture spatiotemporal activity patterns, mobility indicators, sleep behaviors, and medication-taking routines. Annual assessments will include standardized cognitive tests (eg, Montreal Cognitive Assessment, Mini-Mental State Examination, Rey Auditory-Verbal Learning Test, digit span, Color Trails Test, semantic fluency, Stroop), frailty measures (modified Fried phenotype, gait speed, grip strength), mental health scales, sleep quality, and psychosocial indicators. Sensor-derived features-such as gait variability, activity regularity, sleep fragmentation, and medication adherence patterns-will be integrated with clinical data to develop supervised machine learning models. Planned approaches include logistic regression, random forests, gradient boosting, and deep learning. Model performance will be evaluated using cross-validation and independent test sets. Primary metrics will include area under the receiver operating characteristic curve, sensitivity, specificity, precision, recall, and F1-score. Models will be benchmarked against gold-standard clinical diagnoses and validated using temporal subsets of the dataset. RESULTS: Enrollment for this study started in November 2019 and will continue until March 2030. As of June 2025, we have enrolled 138 participants. Full data analysis has yet to begin. CONCLUSIONS: We aim to develop a reliable and effective sensor system for in-home use that will facilitate the early detection of cognitive and physical decline. In so doing, it will add to our current understanding of digital biomarkers. It is common for older adults to seek clinical intervention only when their cognitive impairment has already reached an advanced stage. The implementation of readily deployable sensor systems within community settings presents us with opportunities for prompt intervention, which holds the potential for delaying or reversing disease progression and allowing for a greater number of functional and meaningful years.

Humans↗

PubMed2026

Interplay between DNA and RNA methylation shapes cancer cell plasticity.

Cellular plasticity refers to the ability of healthy cells to shift between phenotypic states and modify their characteristics to maintain tissue homeostasis and integrity. In the tumor context, cancer stem cells (CSCs) exploit this flexibility to withstand stress, facilitate tumor dissemination, and evade therapeutic interventions. Epigenetic regulation, particularly DNA methylation at CpG sites, is recognized as a well-known driver of tumor plasticity by repressing differentiation programs through modulation of chromatin accessibility. More recently, RNA modifications (epitranscriptomics) have emerged as crucial post-transcriptional regulators of gene expression that shape RNA fate and function. Among these, N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), and N7-methylguanosine (m7G) contribute to the regulation of cell identity by modulating stemness-differentiation balance, stress adaptation, and epithelial-to-mesenchymal transition (EMT). Notably, dysregulation of both DNA and RNA methylation signatures is frequently observed in tumors, suggesting potential functional interactions between these regulatory layers. Emerging evidence indicates that DNA CpG methylation and RNA methylation pathways may cooperate to influence stemness, survival, and EMT-associated signaling, thereby supporting CSCs' plasticity. Although the molecular mechanisms underlying this crosstalk remain incompletely understood, accumulating studies suggest that DNA and RNA methylation could converge within interconnected regulatory networks that contribute to the control of cancer cell identity. A deeper understanding of these interactions may uncover novel vulnerabilities for targeting tumor plasticity. In this review, we summarize the current knowledge on the interplay between DNA and RNA methylation in regulating tumor plasticity, highlighting emerging mechanistic insights, functional interactions, and potential implications for future epigenetic and epitranscriptomic therapeutic strategies.

Humans↗

PubMed2026

Mice humanized by syntenic replacement with full-length NLRP3 disease-associated variants model the clinical cryopyrinopathy continuum.

Next-generation sequencing technologies are increasingly used to diagnose genetic disorders, particularly immunological diseases with broad and overlapping immune dysregulation. Cryopyrin-associated periodic syndromes (CAPS) are caused by gain-of-function mutations in NLRP3 and include 3 autoinflammatory diseases spanning a continuum of severity: familial cold autoinflammatory syndrome (FCAS), Muckle-Wells syndrome (MWS), and neonatal-onset multisystem inflammatory disease (NOMID). Linking NLRP3 variants to protein dysfunction and clinical phenotype remains challenging because of genetic modifiers and environmental factors. We report the generation and phenotyping of 5 mouse lines expressing either the common human NLRP3 allele or 1 of 4 CAPS mutations spanning the disease spectrum from FCAS to NOMID. In these lines, the murine Nlrp3 locus is replaced by syntenic integration of the human NLRP3 locus, yielding 1 line with the common allele and 4 lines each carrying a distinct CAPS mutation. Unlike models in which a human mutation is introduced into the mouse protein, these lines recapitulate the spectrum of disease severity observed in humans. These findings support a model in which evaluation of nonsynonymous mutations in mice is optimized when introduced in the context of the human gene. This suggests that species-specific regulation and/or intramolecular epistasis may impact modeling of disease-associated variants.

Animals↗

PubMed2025

COL4A1 and COL4A2-related disorders: Clinical features, diagnostic guidelines, and management.

PURPOSE: Collagen type 4 alpha 1 (COL4A1) and alpha 2 (COL4A2) chains, encoded by COL4A1 and COL4A2, are essential for basement membrane integrity, contributing to structural stability and cell regulation. Pathogenic variants in these genes cause a spectrum of autosomal dominant and, more rarely, autosomal recessive disorders, which are collectively known as COL4A1/A2-related disorders. These multisystem disorders can include neurologic, ophthalmologic, renal, and other organ system pathology and vary widely in symptoms, complicating diagnosis and management. METHODS: Using a modified eDelphi method, we obtained consensus from international experts across medical subspecialties on the evaluation and management of COL4A1/A2-related disorders, with consensus set at ≥70% agreement. RESULTS: Consensus was achieved on recommendations for evaluating and managing these conditions. CONCLUSION: Genetic testing and counseling are advised for individuals showing symptoms of COL4A1/A2-related disorders and for at-risk relatives. Given the complexity and rarity of these disorders, management requires a multidisciplinary approach informed by current understanding of disease mechanisms. Recommended care includes neurological and ophthalmological imaging and monitoring of cardiovascular and renal function. Ongoing research is critical to uncover genotype-phenotype links and potential modifiers, with clinical research participation encouraged to advance knowledge and treatments.

Humans↗

PubMed2026

Performance of seven carbapenemase detection assays in Pseudomonas aeruginosa across different epidemiological settings: a multicenter cross-sectional study.

The detection of carbapenemases in Pseudomonas aeruginosa remains challenging due to a great variety of other resistance mechanisms, and most laboratories, therefore, do not test for them. This study aimed to comparatively evaluate seven phenotypic carbapenemase detection assays across three epidemiological settings. A total of 320 P. aeruginosa isolates from three German centers with varying carbapenemase prevalences (5.8%-51.4%), including 113 carbapenemase-producing isolates carrying VIM-2 (n = 58), NDM-1 (n = 19), and GIM-1 (n = 16), underwent whole-genome sequencing as reference to assess seven phenotypic carbapenemase-detection tests: modified- and modified-zinc-supplemented carbapenem inactivation method (mCIM and mzCIM), simplified carbapenem inactivation method (sCIM), Carba NP, imipenem-cloxacillin test (IC-4000), and two imipenem-EDTA disk assays. Of all confirmation assays, mzCIM and sCIM showed the best overall performance for carbapenemase detection (sensitivity/specificity: 100%/94.2% and 99.1%/92.8%), followed by mCIM (93.8%/96.1%). Carba NP achieved the highest specificity (99.0%), but the lowest sensitivity (85.8%). EDTA-based assays and IC-4000 were highly sensitive (96.5%-100%) but less specific (79.7%-87.0%). Negative predictive values were consistently high (≥98%-100%) across all assays and prevalence settings, whereas positive predictive values varied (72.5%-98.0%). Both mzCIM and sCIM exhibited robust performance for carbapenemase detection in P. aeruginosa, representing the most suitable approach across diverse epidemiological settings. Their high negative predictive values indicate that these assays are particularly effective for ruling out carbapenemase production. Furthermore, both assays are cost-effective, simple to perform, and can be readily implemented in any routine microbiology laboratory.IMPORTANCEThis study provides comparative diagnostic accuracy data for seven phenotypic carbapenemase detection assays in Pseudomonas aeruginosa (PA) across different prevalence settings. Modified-zinc-supplemented carbapenem inactivation method (mzCIM) and simplified carbapenem inactivation method (sCIM) are the most robust screening tools and show that local carbapenemase-producing P. aeruginosa (CP-PA) prevalence substantially influences the utility of all evaluated assays.

CIM↗

PubMed2026

Precision Medicine in Transfusion-Dependent and Non-Transfusion-Dependent β-Thalassemia: Toward Personalized Diagnosis and Therapy.

β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complications vary widely among individuals. This structured narrative review summarizes practical applications of precision medicine in transfusion-dependent thalassemia (TDT) and non-transfusion-dependent thalassemia (NTDT), with explicit attention to which strategies apply to each clinical category. Literature indexed in PubMed and Scopus from 2000 to 2025 was reviewed using terms related to thalassemia, precision medicine, magnetic resonance imaging (MRI), chelation tailoring, next-generation sequencing (NGS), fetal hemoglobin (HbF) modifiers, luspatercept, mitapivat, hepcidin, gene therapy, gene editing, and artificial intelligence (AI). Evidence was synthesized descriptively because interventions, outcomes, and populations were heterogeneous, and no pooled meta-analysis was performed. In TDT, precision care is centered on individualized transfusion planning, extended red-cell antigen matching, MRI-guided cardiac and hepatic iron monitoring, organ-directed chelation intensification, and selection of disease-modifying or curative approaches. In NTDT, precision care emphasizes accurate phenotype classification, MRI liver iron concentration, because serum ferritin may underestimate iron burden, selective chelation, surveillance for NTDT-specific complications, and individualized use of agents that improve anemia. Personalized chelation should include deferiprone, either alone or in combination, when cardiac iron is increased. Comprehensive molecular diagnosis should include HBB together with HBA1 and HBA2 assessment, while secondary and tertiary modifiers help explain phenotypic variability and complication risk. Hepcidin and growth differentiation factor 15 (GDF-15) are discussed as investigational biomarkers; transferrin saturation is not recommended for routine iron-overload assessment in thalassemia. AI currently has its strongest role in screening and diagnosis, whereas risk-stratification models remain exploratory. Equitable implementation requires standardized TDT/NTDT pathways, regional MRI and genomics access, longitudinal registries, and multidisciplinary interpretation.

Humans↗

PubMed2026

Unraveling the Clinical Spectrum of DNASE1L3 Deficiency: Insights from Case Series and Systematic Literature Review.

BACKGROUND: DNASE1L3 deficiency is a rare monogenic cause of lupus and lupus-like autoimmunity resulting from impaired extracellular DNA clearance and sustained immune activation. Although most reported patients present with early-onset systemic lupus erythematosus (SLE), emerging evidence suggests broader phenotypic variability, including vasculitic and overlap manifestations. Whether these presentations represent distinct clinical entities or a continuum of DNASE1L3-associated immune dysregulation remains unclear. We aimed to define the clinical spectrum of DNASE1L3 deficiency and examine the relationship between recurrent pathogenic variants and disease severity. METHODS: We conducted a combined pediatric case series and systematic literature review. Four children with genetically confirmed biallelic DNASE1L3 variants followed at a tertiary pediatric rheumatology centre were retrospectively analysed for clinical, immunological, genetic, treatment, and outcome data. In parallel, a systematic search of PubMed/MEDLINE, Scopus, and Web of Science identified previously reported patients with confirmed biallelic pathogenic or likely pathogenic DNASE1L3 variants and extractable patient-level clinical data. To facilitate cross-case comparison, we applied an exploratory three-tier descriptive framework reflecting increasing disease severity: vasculitic or organ-limited disease (G1), systemic lupus or overlap phenotypes without irreversible organ damage (G2), and severe systemic organ-damaging disease (G3). The assigned grades were descriptive rather than permanent categories, as some patients may meet the criteria for a higher grade if broader systemic manifestations or irreversible organ damage develop during follow-up. FINDINGS: Fifteen reports provided extractable patient-level data, corresponding to 45 unique previously reported patients after accounting for known or probable overlapping reports. Combined with four patients from our centre, the analysis included 49 genetically confirmed individuals. SLE-dominant disease was the most frequent phenotype (27 [60%] of 45), followed by hypocomplementaemic urticarial vasculitis/HUVS-dominant disease (10 [22.2%]) and overlap phenotypes (8 [17.8%]). Renal involvement was reported in 30 (66.7%) of 45 patients, and disease onset occurred by age 3 years in 20 (44.4%). Persistent hypocomplementemia affecting C3 and C4 was frequently reported across the spectrum. Recurrent DNASE1L3 variants were observed across multiple phenotypic and severity grades. Variants such as p.Asn191Ser and p.Thr97Ilefs*2 occurred in patients spanning organ-limited vasculitic disease, lupus overlap phenotypes, and severe multisystem lupus with major organ involvement. CONCLUSION: DNASE1L3 deficiency was associated with a broad clinical spectrum of immune-mediated disease rather than a single clinicopathological entity. The occurrence of identical pathogenic variants across distinct phenotypic and severity states argues against a simple genotype-phenotype model and suggests that additional modifiers influence disease expression.

Humans↗

PubMed2026

PheBee: A Graph-Aware System for Scalable, Traceable, and Semantic Phenotyping.

OBJECTIVES: Phenotype-driven workflows in clinical and translational research require standardized ontology-based representation, ontology-aware cohort discovery, and provenance inspection for each assertion. Existing approaches optimize either for semantic traversal or scalable batch analytics, but not both. We describe PheBee, a hybrid system that links semantic assertions to scalable evidence storage via a deterministic identifier, preserving provenance while supporting ontology-aware discovery at cohort scale. MATERIALS AND METHODS: PheBee represents phenotype assertions in a knowledge graph as ontology-linked nodes with clinical modifier context (e.g., negated, family history), and stores supporting evidence records in a scalable row-oriented evidence table for cohort-scale access. The two layers are connected by a deterministic identifier enabling stable joins across repeated ingestions without duplicating high-volume evidence in the graph. We evaluated PheBee using synthetic datasets designed to exercise end-to-end ingestion and query workflows. RESULTS: Functional evaluation validated hierarchical term expansion, qualifier-aware retrieval, duplicate-free assertion handling under re-ingestion, and privacy-conscious management of subjects shared across multiple research projects. At scale (10,000 subjects producing 12M evidence records) PheBee completed ingestion in ~30 minutes and responded to interactive queries within 6 seconds under concurrent load. DISCUSSION: PheBee exposes a unified API for ontology-aware cohort discovery with hierarchical term expansion, subject-centric retrieval of phenotypes and clinical modifiers, and evidence and provenance queries. Its data model aligns with GA4GH Phenopackets, facilitating interoperability with phenotype exchange standards. CONCLUSION: By combining ontology-aware semantics with scalable, provenance-bearing evidence storage, PheBee provides a practical open-source foundation for phenotype-driven research workflows that demand both semantic precision and cohort-scale traceability.

cohort studies↗

PubMed2026

The first 25 years of the NICHD structural birth defects initiative.

Initiated by NICHD and crafted with clinicians and laboratory scientists, the Structural Birth Defects (SBD) Initiative has supported research into the clinical, genetic, biochemical, mechanistic, developmental, and environmental basis of human disorders with structural anomalies for 25 years. The SBD Initiative has supported and continues to fund research teams studying a broad spectrum of single gene (Mendelian) disorders along with defining loci and susceptibility genes in oligogenic phenotypes, including genetic and environmental risk modifiers. The Initiative required and currently convenes biennial meetings of SBD investigators to share data, exchange ideas and initiate collaborations. In alternate years, online trainee symposia provide a platform for medical fellows, postdoctoral fellows and graduate students to present their data, with the goal of attracting and retaining this future generation of investigators in SBD research. In addition to determining their etiology, the SBD Initiative has supported remarkable progress in developing a fundamental mechanistic understanding of this diverse group of phenotypes. Together, scientific progress has led to translational benefits that include 1) widespread diagnostic testing for families with these disorders, both within the United States and across the world, and 2) pharmacological treatments for affected individuals. This progress has fulfilled the promise of the vision of the architects of the program, which is reviewed in this article, and continues to drive the field forward.

Animals↗

PubMed2025

The evolution of separate sexes in waterhemp is associated with surprising chromosomal diversity and complexity.

The evolution of separate sexes is hypothesized to occur through distinct pathways involving few large-effect or many small-effect alleles. However, we lack empirical evidence for how these different genetic architectures shape the transition from quantitative variation in sex expression to distinct male and female phenotypes. To explore these processes, we leveraged the recent transition of Amaranthus tuberculatus to dioecy within a predominantly monoecious genus, along with a sex-phenotyped population genomic dataset, and six newly generated chromosome-level haplotype phased assemblies. We identify a ~3 Mb region strongly associated with sex through complementary SNP genotype and sequence-depth-based analyses. Comparative genomics of these proto-sex chromosomes within the species and across the Amaranthus genus demonstrates remarkable variability in their structure and genic content, including numerous polymorphic inversions. No such inversion underlies the extended linkage we observe associated with sex determination. Instead, we identify a complex presence/absence polymorphism reflecting substantial Y-haplotype variation-structured by ancestry, geography, and habitat-but only partially explaining phenotyped sex. Just over 10% of sexed individuals show phenotype-genotype mismatch in the sex-linked region, and along with observation of leakiness in the phenotypic expression of sex, suggest additional modifiers of sex and dynamic gene content within and between the proto-X and Y. Together, this work reveals a complex genetic architecture of sex determination in A. tuberculatus characterized by the maintenance of substantial haplotype diversity, and variation in the expression of sex.

Haplotypes↗

PubMed2024

Genetic and Microbial Analysis of Invasiveness for Escherichia coli Strains Associated With Inflammatory Bowel Disease.

BACKGROUND & AIMS: The adherent-invasive Escherichia coli (AIEC) pathotype is implicated in inflammatory bowel disease (IBD) pathogenesis. AIEC strains are currently defined by phenotypic measurement of their pathogenicity, including invasion of epithelial cells. This broad definition, combined with the genetic diversity of AIEC across patients with IBD, has complicated the identification of virulence determinants. We sought to quantify the invasion phenotype of clinical isolates from patients with IBD and identify the genetic basis for their invasion into epithelial cells. METHODS: A pangenome with core and accessory genes (genotype) was assembled using whole genome sequencing of 168 E coli samples isolated from 13 patients with IBD. A modified assay for invasion of epithelial cells (phenotype) was established with consideration of antibiotic resistance phenotypes. Isolate genotype was correlated to invasiveness phenotype to identify genetic factors that cosegregate with invasion. RESULTS: Pangenome-wide comparisons of E coli clinical isolates identified accessory genes that can cosegregate with invasion phenotype. These correlations found the acquisition of antibiotic resistance genes in clinical isolates compromised the traditional gentamicin protection assays used to quantify invasion. Therefore, an alternate assay, based on amikacin resistance, identified genes cosegregating with invasion. These genes encode an arylsulfatase, a glycoside hydrolase, and genetic islands carrying propanediol utilization and sulfoquinovose metabolism pathways. CONCLUSIONS: This study highlights the importance of incorporating antibiotic resistance screening for invasion assays used in AIEC identification. Accurately screened invasion phenotypes identified accessory genome elements among E coli IBD isolates that correlate with their ability to invade epithelial cells. These results help explain why single genetic markers for the AIEC phylotype are challenging to identify.

Humans↗

PubMed2026

Complex genotype-phenotype relationships in neurodevelopmental disorders.

With the advent of sequencing technologies in recent years, hundreds of high-confidence risk genes have been implicated in neurodevelopmental disorders (NDDs). However, individuals carrying pathogenic variants in the same gene frequently exhibit diverse clinical presentations, including varied symptoms and diagnoses. We propose that this heterogeneity arises from different interacting factors that modulate the phenotypic outcomes of pathogenic variants, including variant-level features, modifying variation across the genome, prenatal and early-life environmental exposures, and developmental noise. Resolving these factors requires integrative approaches that combine population-scale genetics and functional genomics with environmental monitoring and quantitative assessments of stochastic developmental variation. Advancing our understanding of these factors is critical to elucidating the etiology of NDDs and improving diagnostic and personalized therapeutic strategies.

Humans↗

PubMed2026

Domestication as gene-culture coevolution.

Human preferences can shape the genetic evolution of other species via conservation practices, public health actions, and domestication. While the dynamics of domestication have been explored in depth through empirical and theoretical analyses, few studies have analyzed models for the coevolution of human cultural preferences with the genetics of a domesticate population. Humans shape the fitness landscape of domesticate populations both intentionally and unconsciously, by selecting for desirable traits and modifying environments; in turn, changes in domesticate phenotypes can affect the cultural preferences in the domesticator population. We present a model for the dynamics of domestication which includes interactions between genetic evolution, cultural transmission, and selective pressures. The model includes forms of selection due to culturally transmitted domesticator preferences that can affect the dynamics of domesticate genetic variants, which then affect the dynamics of domesticators. Equilibria with simultaneous genetic and cultural polymorphisms may exist, and may occur under apparent heterozygote disadvantage in the domesticate. Stable quasiperiodic cycles in both domesticates and domesticators are also possible.

Humans↗

PubMed2024

cAMP/PKA signaling regulates TDP-43 aggregation and mislocalization.

Cytoplasmic mislocalization and aggregation of TDP-43 protein are hallmarks of amyotrophic lateral sclerosis (ALS) and are observed in the vast majority of both familial and sporadic cases. How these two interconnected processes are regulated on a molecular level, however, remains enigmatic. Genome-wide screens for modifiers of the ALS-associated genes TDP-43 and FUS have identified the phospholipase D (Pld) pathway as a key regulator of ALS-related phenotypes in the fruit fly Drosophila melanogaster [M. W. Kankel et al., Genetics 215, 747-766 (2020)]. Here, we report the results of our search for downstream targets of the enzymatic product of Pld, phosphatidic acid. We identify two conserved negative regulators of the cAMP/PKA signaling pathway, the phosphodiesterase dunce and the inhibitory subunit PKA-R2, as modifiers of pathogenic phenotypes resulting from overexpression of the Drosophila TDP-43 ortholog TBPH. We show that knockdown of either of these genes results in a mitigation of both TBPH aggregation and mislocalization in larval motor neuron cell bodies, as well as an amelioration of adult-onset motor defects and shortened lifespan induced by TBPH. We determine that PKA kinase activity is downstream of both TBPH and Pld and that overexpression of the PKA target CrebA can rescue TBPH mislocalization. These findings suggest a model whereby increasing cAMP/PKA signaling can ameliorate the molecular and functional effects of pathological TDP-43.

Animals↗

PubMed2026

Natural variation in the PmbHLH162 promoter regulates anthocyanin biosynthesis and accumulation in Prunus mume.

Anthocyanin accumulation is a vital agronomic and ornamental trait, as it not only contributes to adaptation to environmental stress but also enhances ornamental value. In this study, a genome-wide association study (GWAS) was conducted using 328 accessions of mei (Prunus mume) to identify single-nucleotide polymorphisms (SNPs) associated with red pigmentation in petals, filaments, and xylem. Based on these significant SNPs, we defined 2 haplotypes (bHLH162hap1 and bHLH162hap2) and identified PmbHLH162, a bHLH transcription factor gene responsible for anthocyanin biosynthesis regulation. Transient silencing of PmbHLH162 in mei petals via Agrobacterium-mediated transformation resulted in significant color fading, whereas its overexpression dramatically elevated anthocyanin levels. Haplotype analysis showed that 2 promoter variants in bHLH162hap2 (Chr03_2669885 A/C and Chr03_2670272 A/G) alter the binding affinity of transcription factors PmWRKY18 and PmWRKY70. Stronger binding to the G/C alleles gave rise to higher PmbHLH162 expression in bHLH162hap2, thereby promoted red pigmentation in multiple tissues. By contrast, accessions carrying bHLH162hap1 displayed light/colorless phenotype without accumulation of red pigment. Furthermore, PmbHLH162 interacted respectively with PmMYC2, PmTT8, and PmEGL1 to form heterodimers, and markedly enhanced PmMYC2-mediated transcriptional activation of the anthocyanin biosynthetic structural genes PmCHS and PmANS. Geographic haplotype analysis revealed that bHLH162hap2 was predominantly enriched in high-latitude northern populations but was declining markedly at lower latitudes. Collectively, our study reveals the genetic and molecular basis underlying anthocyanin accumulation in mei and identifies a PmbHLH162-PmMYC2 regulatory module in which PmbHLH162 enhances PmMYC2-mediated activation of key anthocyanin biosynthetic genes. The additional interactions of PmbHLH162 with the MBW-associated bHLH factors PmTT8 and PmEGL1 further suggest potential crosstalk between this module and the canonical anthocyanin regulatory network.

Anthocyanins↗