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Estimating the Exposure-Response Relationship between Fine Mineral Dust Concentration and Coccidioidomycosis Incidence Using Speciated Particulate Matter Data: A Longitudinal Surveillance Study.
Environ Health Perspect
January 2025
Department of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Nevada, Reno, Reno, Nevada, USA.
Background: Coccidioidomycosis, caused by inhalation of spp. spores, is an emerging infectious disease that is increasing in incidence throughout the southwestern US. The pathogen is soil-dwelling, and spore dispersal and human exposure are thought to co-occur with airborne mineral dust exposures, yet fundamental exposure-response relationships have not been conclusively estimated.
View Article and Find Full Text PDFIdentification of novel genes responsible for a pollen killer present in local natural populations of Arabidopsis thaliana.
PLoS Genet
January 2025
Université Paris-Saclay, INRAE, AgroParisTech, Institute Jean-Pierre Bourgin for Plant Sciences (IJPB), Versailles, France.
Gamete killers are genetic loci that distort segregation in the progeny of hybrids because the killer allele promotes the elimination of the gametes that carry the sensitive allele. They are widely distributed in eukaryotes and are important for understanding genome evolution and speciation. We had previously identified a pollen killer in hybrids between two distant natural accessions of Arabidopsis thaliana.
View Article and Find Full Text PDFPreparation, Modification, Quantitation, and Dentin Biomodification Activity of Selectively Enriched Proanthocyanidins.
J Nat Prod
January 2025
Pharmacognosy Institute and Department of Pharmaceutical Sciences, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois 60612, United States.
To date, quantitative analysis of proanthocyanidin (PAC) containing materials including plant extracts and fractions depends on colorimetric assays or phloroglucinolysis/thiolysis combined with UV-HPLC analysis. Such assays are of limited accuracy, particularly lack specificity, require extensive sample preparation and degradation, and need appropriate physical reference standards. To address this analytical challenge and toward our broader goal of developing new plant-sourced biomaterials that chemically and mechanically modulate the properties of dental tissue for clinical interventions, we have characterized 12 different PAC DESIGNER (Depletion and Enrichment of Select Ingredients Generating Normalized Extract Resources) materials.
View Article and Find Full Text PDFData reuse in agricultural genomics research: challenges and recommendations.
Gigascience
January 2025
Department of Animal Science, Iowa State University, Ames, IA, 50011, US.
The scientific community has long benefited from the opportunities provided by data reuse. Recognizing the need to identify the challenges and bottlenecks to reuse in the agricultural research community and propose solutions for them, the data reuse working group was started within the AgBioData consortium framework. Here, we identify the limitations of data standards, metadata deficiencies, data interoperability, data ownership, data availability, user skill level, resource availability, and equity issues, with a specific focus on agricultural genomics research.
View Article and Find Full Text PDFAn Efficient and Cost-Effective Novel Strategy for Identifying CRISPR-Cas-Mediated Mutants in Plant Offspring.
CRISPR J
January 2025
Plant Biotechnology Research Center, Fudan-SJTU-Nottingham Plant Biotechnology R&D Center, School of Agriculture and Biology, Shanghai Jiao Tong University, Minhang, Shanghai, China.
The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 system has revolutionized targeted mutagenesis, but screening for mutations in large sample pools can be time-consuming and costly. We present an efficient and cost-effective polymerase chain reaction (PCR)-based strategy for identifying edited mutants in the T generation. Unlike previous methods, our approach addresses the challenges of large progeny populations by using T generation sequencing results for genotype prediction.
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