The distribution of Aedes aegypti (L.) in Australia is currently restricted to northern Queensland, but it has been more extensive in the past. In this study, we evaluate the genetic structure of Ae. aegypti populations in Australia and Vietnam and consider genetic differentiation between mosquitoes from these areas and those from a population in Thailand. Six microsatellites and two exon primed intron crossing markers were used to assess isolation by distance across all populations and also within the Australian sample. Investigations of founder effects, amount of molecular variation between and within regions and comparison of F(ST) values among Australian and Vietnamese populations were made to assess the scale of movement ofAe. aegypti. Genetic control methods are under development for mosquito vector populations including the dengue vector Ae. aegypti. The success of these control methods will depend on the population structure of the target species including population size and rates of movement among populations. Releases of modified mosquitoes could target local populations that show a high degree of isolation from surrounding populations, potentially allowing new variants to become established in one region with eventual dispersal to other regions.
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http://dx.doi.org/10.1603/033.046.0514 | DOI Listing |
Extremophiles
January 2025
Microbiology Laboratory, Department of Botany (DST-FIST and UGC-DRS Funded), Institute of Science, Visva-Bharati (A Central University), Santiniketan, West Bengal, 731235, India.
To fish-out novel salt-tolerance genes, metagenomic DNA of moderately saline sediments of India's largest hypersaline Sambhar Lake was cloned in fosmid. Two functionally-picked clones helped the Escherichia coli host to tolerate 0.6 M NaCl.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute (ICAR-IVRI), Izatnagar, Bareilly 243 122, Uttar Pradesh, India.
Background: Litter size in mice is an important fitness and economic feature that is controlled by several genes and influenced by non-genetic factors too. High positive selection pressure in each generation for Litter size at birth (LSB), resulted in the development of high and low prolific lines of inbred Swiss albino mice (SAM). Despite uniform management conditions, these lines showed variability in LSB across the generation.
View Article and Find Full Text PDFAppl Microbiol Biotechnol
January 2025
Department of Frontier Science for Advanced Environment, Graduate School of Environmental Studies, Tohoku University, Sendai, Japan.
RNA viruses have high genetic diversity, allowing rapid adaptation to environmental pressures, such as disinfection. This diversity increases the likelihood of mutations influencing the viral sensitivity to disinfectants. Ethanol is widely used to control viral transmission; however, insufficient disinfection facilitates the survival of less-sensitive viruses.
View Article and Find Full Text PDFPlant Cell
December 2024
Shenzhen Research Institute, State Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.
A complex regulatory network governs fruit ripening, but natural variations and functional differentiation of fruit ripening genes remain largely unknown. Utilizing a genome-wide association study (GWAS), we identified the NAC family transcription factor MdNAC18.1, whose expression is closely associated with fruit ripening in apple (Malus × domestica Borkh.
View Article and Find Full Text PDFAnn Med
December 2025
Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recurrence, necessitating the development of novel predictive tools.
Methods: We analyzed microarray data of NMIBC samples obtained from the ArrayExpress and GEO databases.
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