Punctate Palmoplantar Epidermal Differentiation Disorder Caused by AAGAB Variants: Large-Scale Genomic Data Suggest Under-recognition.
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Chromosome-scale genome assembly and genomic prediction of essential oil compounds in Atractylodes lancea for genomics-assisted breeding.
Atractylodes lancea rhizomes are used as crude drugs. Essential oil compounds, including atractylodin, hinesol, β-eudesmol, and atractylon, are key determinants of crude drug quality. Conventional breeding of A. lancea is difficult because of its perennial growth. In this study, a chromosome-scale reference genome of A. lancea (4.79 Gb) was generated, and genome-wide association studies (GWAS) and genomic predictions of essential oil compounds were conducted to explore the potential for genome-assisted breeding. Genotyping of 480 lines using double-digest restriction-site-associated DNA-sequencing yielded 29,136 high-quality SNPs. All the compounds showed high genomic heritability (h2 = 0.758-0.915), indicating strong genetic control. Despite the high genomic heritability, GWAS detected only one weak association with atractylon and no significant loci for the three compounds. However, genomic prediction achieved moderate to high accuracy across multiple models, particularly the ridge regression, genomic best linear unbiased prediction, and Bayesian approaches. The prediction accuracy, measured as the Pearson correlation coefficient between the observed and predicted values, exceeded 0.6 for all four essential oil compounds. These results demonstrate the efficacy of genomic selection for improving essential oil compound levels in A. lancea and provide a foundation for genome-assisted breeding of medicinal plants with long breeding cycles.
Atractylodes lancea↗
Digital Kennison: A bioinformatics pipeline for rapid mapping of sequences to the Drosophila melanogaster Y chromosome.
The Drosophila melanogaster Y chromosome is currently known to contain 13 single-copy protein-coding genes, six of which are essential for male fertility, as well as several non-coding genes and abundant repetitive DNA. Localization of Y-linked sequences has traditionally relied on labor-intensive crosses using Kennison's translocation strains, which map Y-linked loci by generating flies deficient for each of the six Y-chromosome fertility regions (ks-1, ks-2, kl-1, kl-2, kl-3, and kl-5). Here we present Digital Kennison, a computational pipeline that recasts this classical mapping strategy as a sequence-based analysis. The pipeline queries eight genomic databases derived from Kennison's strains using BLAST and read coverage, assigning sequences to fertility regions or the centromeric region with a calibrated confidence score. We benchmarked the method on 60 Y-linked sequences spanning all seven regions, including single-copy protein-coding genes, Mst77Y family members, non-coding RNAs, and the centromere. Digital Kennison achieved 97% precision while resolving challenging cases, including boundary-spanning genes (PRY and Ppr-Y), fragmented Mst77Y copies, and FDY, which has a closely related autosomal paralog. Beyond validating known localizations, the pipeline localized the unmapped gene CG41561 to the kl-1region and reassigned the transcript CR40629-RC from the kl-2 region to kl-5. It also localized 7 of 16 recently transferred Y-linked sequences, including 4 with high confidence. Applied to 904 R6 scaffolds, Digital Kennison assigned 75% to fertility regions, including five currently annotated as autosomal-pericentromeric. Digital Kennison reduces sequence localization from weeks of genetic crosses to minutes of computation while preserving the power of classical translocation mapping.
Drosophila melanogaster↗
Maize Gametophytic factor loci Ga3 through Ga11 modify reproductive barriers.
Gametophytic factor (Ga) barriers are maize (Zea mays ssp. mays) reproductive barriers controlled by molecular incompatibilities between pollen and silks. Twelve distinct Ga loci have been identified in maize populations since the first genetic evidence of a Ga barrier was reported in 1901. Of the twelve, however, only three have been validated by modern molecular, functional and genomic studies: Ga1, Ga2, and Tcb1. The remaining "higher" Ga loci, spanning Ga3 to Ga11, were reported in the historical literature, but their associated phenotypes segregated in unexpected ways or disappeared over subsequent generations. Here we introduce and explore the hypothesis that the higher Ga loci represent modifiers of Ga1, Ga2, and Tcb1 barrier functions. By revisiting the historical literature, we found that barrier phenotypes fall into two phenotypic and functional categories. Phenotypically, the two categories represented healthy pollen with a silk-length effect and unhealthy pollen without a silk-length effect. These phenotypic categories were supported by genomic data; we identified candidate genes in each higher Ga locus by comparing historical linkage mapping data to the corresponding genomic sequence of maize reference line B73. We discovered candidate genes related to two broad pathways: pollen tube growth and RNA-directed DNA methylation. We conclude that the past century of evidence aligns with our hypothesis that maize loci Ga3 through Ga11 modify rather than directly control Ga barriers. This brief investigation provides a starting point for geneticists and evolutionary biologists to explore how strong reproductive barriers are shaped by epistatic interactions.
Epistasis↗
Evaluating a coaching intervention for Dementia Care Practice Recommendations in care communities: a cluster randomized controlled trial.
BACKGROUND AND OBJECTIVES: Within care communities, including nursing home and assisted living settings, person-centered dementia care, outlined by the 2018 Alzheimer's Association Dementia Care Practice Recommendations (DCPR), is foundational to quality care and improving staff outcomes. This study evaluates the effectiveness of a 6-month Care Community Coaching Program in enhancing person-centered dementia care and staff outcomes in alignment with the DCPR. RESEARCH DESIGN AND METHODS: A cluster randomized controlled trial was conducted with 77 care communities and 434 staff members-227 from 38 intervention communities and 207 from 39 control communities. Outcomes included employee satisfaction (areas: job satisfaction, team building and communication, scheduling and staffing, training, and management and leadership), person-centered care practices (areas: workplace practices, individualized care and services, caregiver-resident relationships), and dementia care confidence, measured pre- and post-intervention and at 3-month follow-up. A generalized Estimating Equations model was used to estimate intervention effects. RESULTS: Care communities assigned to the coaching intervention showed statistically significant improvements in employee satisfaction and staff perceptions of workplace practices and individualized care. No statistically significant effects on staff perceptions of caregiver-resident relationships or on dementia care confidence were noted. DISCUSSION AND IMPLICATIONS: Findings provide direction for future research and intervention development, including examining coaching's impact on resident quality outcomes, and incorporating skills training into future models. Collectively, findings provide evidence of the effectiveness of a Care Community Coaching Program in improving staff outcomes and person-centered practices, offering a practical path towards improving the lived experience of residents and staff in care communities.
Humans↗
Bacterial motility in rhizosphere colonization: mechanisms, constraints, and implications for microbial inoculants.
Although the potential of microbial inoculants for sustainable agriculture and environmental restoration has been widely recognized, their field performance remains highly variable and often unpredictable. Current research and development frameworks for microbial inoculants primarily focus on their plant growth-promoting functions and metabolic traits, often overlooking the ecological processes that determine whether introduced strains can successfully disperse, access, and establish within the rhizosphere. Increasing evidence suggests that successful dispersal and establishment cannot be assumed in the highly heterogeneous conditions of soil systems. Here, we summarize the key mechanisms underlying bacterial motility and discuss its role within the broader framework of microbial dispersal, highlighting how motility-mediated processes contribute to rhizosphere colonization. We propose that bacterial motility represents a key mechanistic determinant of biofertilizer efficacy. Its role extends beyond the ability of inoculant strains to physically reach the rhizosphere, encompassing competitive colonization on the root surface, long-term persistence, and the ability to respond to dynamic root-derived chemical gradients associated with newly developing root tissues. We argue that inoculant motility should be elevated from a passive descriptive trait to a core design parameter that can be systematically incorporated and regulated during the development and optimization of microbial inoculants. We outline a multi-tiered strategic framework for next-generation biofertilizer engineering that integrates strain selection, community design, motility regulation, and deployment strategies, thereby unlocking the full potential of synthetic microbial consortia for sustainable agriculture, ecosystem restoration, and climate change mitigation.
Biofertilizer↗
Evaluating Substitution of Hazardous Solvents in USP Monograph HPLC Methods.
BACKGROUND: Hazardous solvents, such as dichloromethane (DCM), n-hexane, and acetonitrile (ACN), are widely used in HPLC methods, posing significant health and environmental risks. OBJECTIVE: To evaluate the feasibility and impact of substituting hazardous solvents with greener alternatives in USP monograph methods. METHODS: Six high-impact solvents were identified from USP-NF monographs. Two representative monographs per solvent were selected. Substitution strategies were assessed, and performance was compared using system suitability and sample acceptance criteria. Greenness improvement was evaluated using the Analytical GREEnness (AGREE) metric. RESULTS: Performance remained equivalent across all twelve substitution cases. In almost every instance, only the mobile phase required modification, either by direct substitution or by adjusting the solvent-to-buffer ratio, except for one case that required a minor adjustment in column temperature. The AGREE Greenness metric increased by 18-65% in ten out of twelve cases; for n-hexane, improvements were modest at just 6% when replaced with n-heptane but exceeded 40% when substituted with supercritical CO₂. CONCLUSIONS: Greener solvents are highly likely to replace hazardous solvents used in compendial chromatography methods without loss of performance. HIGHLIGHTS: Demonstrated performance equivalency for greener solvent substitutions; Quantified greenness improvements using AGREE; Discussed strategies to implement greener solvents in USP monograph methods.
HPLC↗
Decoding gene regulation in plant genomes with artificial intelligence.
One of the central goals of plant functional genomics is to uncover regulatory mechanisms that shape agriculturally important traits to inform crop improvement. Recent advances in machine learning (ML) and artificial intelligence (AI), especially Large Language Models (LLMs), have greatly transformed our ability to derive regulatory information from complex genomics data. This review starts with a brief introduction of recent advances in AI and ML. We then present a plant-focused synthesis of emerging applications of AI- and LLM tools to: (i) predict epigenomic features, regulatory DNA elements, and gene expressions; (ii) infer gene regulatory network; and (iii) estimate post-transcriptional regulation.
Artificial intelligence↗
Identification of Novel Sources and Genetic Mapping for Bacterial Leaf Streak Resistance in a Geographically Diverse Panel of Wheat.
Bacterial leaf streak (BLS), caused by Xanthomonas translucens pv. undulosa (Xtu), has recently emerged as a significant threat to wheat production in the Northern Great Plains region of the United States. Deploying resistant cultivars is an economical and practical method of controlling BLS. To identify novel sources of BLS resistance, we screened a set of 355 bread wheat landraces and cultivars representing global diversity for their response to BLS. A wide distribution of seedling responses against BLS was observed, with most genotypes displaying a moderately to highly susceptible response. Notably, we identified 5 resistant and 33 moderately resistant responses. A high-resolution genome-wide association study using 302,524 high-quality single-nucleotide polymorphisms (SNPs) identified 10 significant marker-trait associations (MTAs) on chromosomes 1A, 1D, 3B, 4A, and 5A corresponding to unique genomic regions associated with BLS resistance. Compared with previous studies, four of these genomic regions are likely novel. Of these, MTA 'scaffold15531_2782724' associated with q5A.1 was highly significant (-log10P = 9.39) and exhibited the highest SNP effect (0.35). An association on chromosome 3B validated a previously identified 3B quantitative trait locus (QTL) mapped at approximately 6 Mbp in the hard red spring wheat cultivar 'Boost', and the high-resolution mapping from our study further refined the interval for this QTL. Furthermore, the narrow haplotype blocks reported in this study could be valuable for fine mapping of important regions. The novel resistant sources, along with identified genomic loci and corresponding SNP markers from this study, would be helpful for wheat-breeding programs to enhance BLS resistance.[Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
BLS↗
Fusarium oxysporum f. sp. crypti, a novel forma specialis causing Fusarium wilt of mitsuba, Cryptotaenia japonica.
Fusarium oxysporum isolates causing Fusarium wilt in mitsuba (Cryptotaenia japonica Hassk.; also referred to as Japanese honeywort, Japanese honewort, or Japanese parsley) have traditionally been classified as f. sp. apii. However, some reports have indicated that the host-pathogenic F. oxysporum isolates derived from mitsuba are nonpathogenic to celery, the principal host of f. sp. apii. In this study, we aimed to elucidate the differences among isolates from mitsuba, coriander, and celery in terms of host range, phylogenetic relationships, genomic synteny, and effector profiles. Inoculation assays revealed a clear distinction in host range between the mitsuba, coriander, and celery isolates. Phylogenetic analyses based on the rDNA intergenic spacer and translation elongation factor sequences indicated a distant relationship between mitsuba isolates and those from coriander and celery. Whole-genome analysis based on high-quality de novo-assembled genomes, including telomere-to-telomere-level assemblies of isolates from mitsuba, coriander, and celery, showed that the mitsuba isolates possess conserved accessory chromosomal regions absent in celery and coriander isolates. Moreover, effector profiling identified a specific pattern of effector repertoires shared by the mitsuba isolates. These findings suggest that the host-pathogenic F. oxysporum isolates derived from mitsuba represent a forma specialis distinct from f. sp. apii. Thus, we propose designating the F. oxysporum isolates from mitsuba that cause Fusarium wilt as Fusarium oxysporum f. sp. crypti forma specialis nova.
Cryptotaenia japonica↗
Biocontrol Potential of a Novel Bacillus velezensis Strain Against Major Soft Rot Bacteria Pectobacterium and Dickeya.
Management of soft rot Pectobacteriaceae (SRP) remains a major challenge because effective control options such as bactericides, chemical treatments, or resistant commercial varieties are currently lacking. In a quest for an effective control measure against SRP, we isolated bacteria from soil and potato samples from potato fields across Montana. The bacterial isolates were screened for their effective suppression of major soft rot and blackleg pathogens Pectobacterium brasiliense strain Pb1692 and Dickeya dianthicola strain ME23. We screened more than 3,000 bacterial isolates using inhibition-zone assays on nutrient agar plates. From this collection, we identified a strong antagonist effective against Pb1692 and ME23. This isolate successfully suppressed potato soft rot and blackleg disease in both laboratory and greenhouse evaluations. Genome sequencing identified the bacterial antagonist as Bacillus velezensis strain DN539, which can survive well at 8°C, a potato postharvest storage temperature. We enriched the B. velezensis DN539 supernatant in bioactive fractions, and mass spectrometry analysis identified the bioactive compound as isomers of surfactin. Scanning electron microscopy identified that surfactin-enriched fraction resulted in the leakage of the cellular content of phytobacteria tested in our study in as little as 10 min, followed by complete degradation of bacterial cells within 1 h. The surfactin-enriched fraction also had antimicrobial effects against other economically important phytobacteria such as Erwinia amylovora, Xanthomonas campestris, and Pseudomonas syringae. These indicate that surfactin synthesized by Bacillus velezensis DN539 has potential to be developed as a biocontrol agent against broad range of phytobacteria.
Pectobacterium↗
Argument in Favor of Reporting Adult-onset Conditions in Prenatal Diagnosis.
Prenatal genomic sequencing can detect far more than clinicians conventionally report. Whether adult-onset conditions diagnosed in the fetus should be disclosed prenatally remains debated, and most laboratories and guidelines restrict reporting to childhood-onset disease. We argue that this restriction is not supported by available evidence. Prospective parents consistently elect to receive adult-onset findings, most often to plan for a child's future health. Pediatric and newborn sequencing studies have not demonstrated the psychological, relational, or developmental harms critics anticipated, and pregnancy offers an unmatched opportunity to reach an otherwise unscreened population. Policy should be guided by informed consent and patient autonomy.
adult-onset conditions↗
The Effect of Pancreatic Exocrine Insufficiency and Pancreatic Enzyme Replacement Therapy on Gut Microbiome Composition in Pancreatic Disease: A Prospective Cohort Study.
OBJECTIVES: Increasing evidence demonstrates that pancreatic exocrine insufficiency (PEI) is associated with harmful changes to the gut microbiome. The mainstay of PEI treatment is with pancreatic enzyme replacement therapy (PERT), which has been shown to lead to significant survival benefit in pancreatic disease. The aim of this study was to determine how treatment of PEI with PERT affects gut microbiome composition. METHODS: This is a prospective observational cohort study of patients being treated for pancreatic disease at a single centre. PEI status of patients was assessed at the time of recruitment using published diagnostic criteria. Pre-PERT samples were taken before treatment was started and post-PERT samples were taken after at least 4 weeks of treatment. To profile the gut microbiome composition, shotgun metagenomic sequencing was performed with DNA extracted from stool samples. RESULTS: 25 patients with pancreatic disease were included. The abundance of pathogenic bacteria, such as Viridans group Streptococcus and Campylobacter species, was significantly increased in the gut microbiome of patients with PEI compared to those without PEI. Following PERT treatment, analysis of the gut microbiome of treated patients showed a significant reduction in the abundance of multiple pathogenic species, such as those from Viridans group Streptococci, compared to untreated PEI patients. CONCLUSIONS: Treatment with PERT leads to significant changes in the gut microbiome composition of patients with pancreatic disease. Changes include a significant reduction in potentially pathogenic bacteria and so may contribute to the survival benefits seen with PERT treatment in pancreatic disease.
gut microbiome↗
Two Genomes, one Outcome: Stratifying Donor and Recipient Polygenic Risk Score to Improve Kidney Allograft Longevity.
Kidney transplantation outcomes arise from complex interactions among donor organ quality, recipient susceptibility, and immunologic compatibility, yet conventional clinical risk models explain only a modest fraction of outcome variability. Polygenic risk scores (PRS) offer a promising framework to enhance transplant risk assessment by integrating genome-wide genetic information from both donor and recipient into biologically informed models. This narrative review examines the mechanistic basis for PRS application in kidney transplantation and variant clustering approaches that link polygenic signals to specific biological pathways underlying alloimmunity, fibrosis, and metabolic dysfunction. We compare current PRS construction methodologies, highlighting their respective strengths and limitations in transplant cohorts. Transplant PRS are distinguished from single-genome disease models by their capacity to capture dual-genome interactions, simultaneously quantifying inherited donor organ liability and recipient genetic susceptibility within an integrated framework. This dual-genome architecture requires novel risk stratification paradigms in which combined donor-recipient polygenic profiles inform pretransplant decision-making in ways that neither genome alone can achieve. However, current PRS contribute only incremental variance beyond established clinical predictors, and critical limitations persist, including European ancestry bias, small cohort sizes, incomplete replication, and undefined clinical actionability thresholds. We critically evaluate these implementation barriers and outline future directions for integrating dual-genome PRS with clinical, molecular, and environmental data. The longer-term goal is to advance precision kidney transplantation through applications such as donor selection, immunosuppression tailoring, and individualized posttransplant surveillance. Realizing this potential will require validation in adequately powered, ancestry diverse, prospective transplant cohorts.
Journal Article↗
Human MutLα activates methylpurine DNA glycosylase to induce alkylation damage cytotoxicity.
Alkylation chemotherapy is commonly used against tumors such as glioblastoma, yet resistance often develops through downregulation of mismatch repair (MMR). Previous work has established that loss of MMR prevents the excision of the thymine-containing strand across O 6meG-T mismatches, thereby avoiding the futile repair cycle that ultimately leads to cell death. Here, we provide an alternative explanation to this prevailing mechanism of chemoresistance by MMR loss. We found that the MMR protein MutLα physically and functionally interacts with the base excision repair (BER) enzyme methylpurine DNA glycosylase (MPG), which processes common alkylation adducts, such as 7meG and 3meA. Biochemical reconstitution demonstrates that MutLα activates MPG glycosylase activity by promoting MPG substrate binding, and enhancing MPG release from the abasic site product, thereby facilitating enzyme turnover. This glycosylase stimulation requires ATP hydrolysis as well as the MLH1-interacting region on MPG. Both MutLα or its ability to interact with MPG promote the generation of alkylation-induced abasic sites in cells, which contribute to the cytotoxicity of methyl methanesulfonate (MMS), an SN2 alkylating agent that does not produce O 6meG. Our results provide new insight into the mechanism of alkylation chemoresistance and uncover an unappreciated cross-talk between MMR and BER.
DNA repair↗
Sharp cell type boundaries emerge from coordinated morphogen signaling.
Classic models of the French flag problem depict sharp cell type boundaries emerging from threshold responses to morphogen gradients. How discrete cell type boundaries arise from morphogen signals that vary continuously across developing tissues remains incompletely understood. We use hair follicle dermal condensate (DC) formation to study a sharp developmental transition in which proliferative progenitors undergo cell cycle exit concurrent with molecular differentiation. Using genetic and genomic approaches, we show that Wnt and Hedgehog signaling coordinate separable cellular events during DC commitment. Elevated Wnt signaling promotes cell cycle exit through reduced chromatin binding of the Hedgehog mediator GLI3, while Hedgehog signaling induces differentiation genes in a Wnt-dependent manner and simultaneously elevates Wnt activity. When these responses coincide, differentiation and cell cycle exit occur together, limiting the duration and abundance of intermediate states and producing a sharp boundary. When they do not, intermediate states persist and expand, producing a graded boundary. Thus, a sharp boundary can emerge from a continuous transition that is compressed in time and space.
Hedgehog↗
A HUWE1 regulatory helix gates ASCL1 degradation through its C-terminal phospho-degron in small cell lung cancer.
Lineage-defining transcription factors are key oncogenic drivers but remain difficult to target pharmacologically due to the absence of ligandable pockets. The molecular rules governing substrate recognition by large HECT ubiquitin ligases also remain incompletely understood, limiting efforts to exploit these enzymes for targeted protein degradation. Here we combine genome-wide CRISPR knockout screening with base editor tiling screens at amino acid resolution, both coupled to an endogenous knock-in reporter of the SCLC lineage oncogenic transcription factor ASCL1, to systematically interrogate the mechanisms governing its degradation. These complementary screens unbiasedly identify the HECT ubiquitin ligase HUWE1 as the dominant regulator of ASCL1 stability in small cell lung cancer (SCLC) and resolve a conserved C-terminal phospho-degron centered on Ser207 and terminal Trp/Phe residues that are required for HUWE1 docking and ubiquitin-mediated degradation. Unexpectedly, base editor screening further uncovers a previously unrecognized regulatory module within HUWE1: a short negatively charged helix that functions as an autoinhibitory gate controlling access of phospho-degron substrates to HUWE1. Charge-flipping mutations within this regulatory helix relieve autoinhibition and accelerate degradation of multiple HUWE1 phospho-degron substrates, including ASCL1 and the canonical HUWE1 substrate DDIT4. Stabilization of ASCL1 through degron disruption paradoxically impairs SCLC proliferation, revealing that dynamic proteasome-coupled turnover is required for transcription factor function. Together, these findings reveal molecular rules governing HUWE1 phospho-degron recognition and identify a regulatory gate controlling substrate engagement. They also illustrate a generalizable strategy for resolving degradation mechanisms of undruggable transcription factors in their endogenous cellular context.
ASCL1↗
Detecting Meiotic Crossing-Overs in Maize Using Chromatin Immunoprecipitation-Sequencing (ChIP-seq).
During meiosis, homologous chromosomes engage in reciprocal exchanges of segments in a process known as crossing over (CO). About 85% of CO events in maize are products of the class I pathway. Class I COs are interference-sensitive, meaning that the formation of one CO reduces the likelihood of another CO forming close by. This protocol describes a chromatin immunoprecipitation-sequencing (ChIP-seq)-based method for mapping meiotic COs in maize, using an antibody against MutL Homolog 3 (MLH3), a key component of the class I CO pathway. CO sites are determined by Illumina sequencing of DNA isolated from MLH3-associated chromatin fragments. Traditionally, COs have been identified through genetic mapping, which relies on the segregation of genetic markers in the progeny of hybrid plants. However, conventional genetic mapping provides limited resolution and requires large numbers of progeny individuals. The MLH3 ChIP-seq approach enables direct detection of COs, providing high-resolution and genome-wide coverage, including genome regions with low DNA sequence polymorphism, which are inaccessible to genetic CO mapping. Furthermore, MLH3 ChIP-seq enables screening of thousands of CO events, greatly accelerating the analysis and reducing its cost. This protocol can also be used to examine any chromatin-bound meiotic proteins and adapted to studying chromatin-associated proteins in somatic cells.
Journal Article↗