Dataset Information

Genomics data of L. borgpetersenii strain HP364 and L. weilii strain SC295 isolated from rodents captured from human leptospirosis outbreak areas in Selangor, Malaysia.

ABSTRACT: We report complete genome sequences of two Leptospira isolates, Leptospira borgpetersenii strain HP364 and Leptospira weilii strain SC295. The genome sizes of L. borgpetersenii strain HP364 and L. weilii strain SC295 were 3,874,738 bp and 4,063,712 bp, respectively. Both genomes have been deposited in NCBI GenBank.

SUBMITTER: Neela VK

PROVIDER: S-EPMC10871061 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genomics data of L. borgpetersenii strain HP364 and L. weilii strain SC295 isolated from rodents captured from human leptospirosis outbreak areas in Selangor, Malaysia.

Neela Vasantha Kumari VK Philip Noraini N Raja Pappitha P Sekawi Zamberi Z

Microbiology resource announcements 20231114 12

We report complete genome sequences of two Leptospira isolates, Leptospira borgpetersenii strain HP364 and Leptospira weilii strain SC295. The genome sizes of L. borgpetersenii strain HP364 and L. weilii strain SC295 were 3,874,738 bp and 4,063,712 bp, respectively. Both genomes have been deposited in NCBI GenBank. ...[more]

PMID: 37962390

Similar Datasets

Project description:BackgroundLeptospirosis is considered a neglected zoonotic disease in temperate regions but an endemic disease in countries with tropical climates such as South America, Southern Asia, and Southeast Asia. There has been an increase in leptospirosis incidence in Malaysia from 1.45 to 25.94 cases per 100,000 population between 2005 and 2014. With increasing incidence in Selangor, Malaysia, and frequent climate change dynamics, a study on the disease hotspot areas and their association with the hydroclimatic factors would further enhance disease surveillance and public health interventions.ObjectiveThis study aims to examine the association between the spatio-temporal distribution of leptospirosis hotspot areas from 2011 to 2019 with the hydroclimatic factors in Selangor using the geographical information system and remote sensing techniques to develop a leptospirosis hotspot predictive model.MethodsThis will be an ecological cross-sectional study with geographical information system and remote sensing mapping and analysis concerning leptospirosis using secondary data. Leptospirosis cases in Selangor from January 2011 to December 2019 shall be obtained from the Selangor State Health Department. Laboratory-confirmed cases with data on the possible source of infection would be identified and georeferenced according to their longitude and latitudes. Topographic data consisting of subdistrict boundaries and the distribution of rivers in Selangor will be obtained from the Department of Survey and Mapping. The ArcGIS Pro software will be used to evaluate the clustering of the cases and mapped using the Getis-Ord Gi* tool. The satellite images for rainfall and land surface temperature will be acquired from the Giovanni National Aeronautics and Space Administration EarthData website and processed to obtain the average monthly values in millimeters and degrees Celsius. Meanwhile, the average monthly river hydrometric levels will be obtained from the Department of Drainage and Irrigation. Data are then inputted as thematic layers and in the ArcGIS software for further analysis. The artificial neural network analysis in artificial intelligence Phyton software will then be used to obtain the leptospirosis hotspot predictive model.ResultsThis research was funded as of November 2022. Data collection, processing, and analysis commenced in December 2022, and the results of the study are expected to be published by the end of 2024. The leptospirosis distribution and clusters may be significantly associated with the hydroclimatic factors of rainfall, land surface temperature, and the river hydrometric level.ConclusionsThis study will explore the associations of leptospirosis hotspot areas with the hydroclimatic factors in Selangor and subsequently the development of a leptospirosis predictive model. The constructed predictive model could potentially be used to design and enhance public health initiatives for disease prevention.International registered report identifier (irrid)PRR1-10.2196/43712.

Project description:BackgroundMalaria is a vector-borne parasitic disease which is prevalent in many developing countries. Recently, it has been found that Plasmodium knowlesi, a simian malaria parasite can be life-threatening to humans. Long-tailed macaques, which are widely distributed in Malaysia, are the natural hosts for simian malaria, including P. knowlesi. The aim of the present study was to determine the prevalence of simian malaria parasites in long-tailed macaques in the district of Hulu Selangor, Selangor, Malaysia.MethodsA total of 70 blood samples were collected from Macaca fascicularis dwelling in the forest of Hulu Selangor by the Department of Wildlife and National Parks Peninsular Malaysia, Kuala Lumpur, Malaysia. DNA was extracted using PureLink™ Genomic DNA Kits. Conventional and nested PCR were used to detect the genus and species of Plasmodium parasites respectively. In addition, phylogenetic analysis was carried out to confirm the species of Plasmodium parasites.ResultsThirty-five (50 %) of the 70 samples were positive for Plasmodium using genus-specific primers. These positive samples were then subjected to nested PCR targeting the 18S ribosomal RNA genes to detect all five simian malaria parasites: namely, P. knowlesi, Plasmodium inui, Plasmodium cynomolgi, Plasmodium fieldi, and Plasmodium coatneyi. All five species of simian malaria parasites were detected. Of these, P. inui was the predominant (65.7 %), followed by P. knowlesi (60 %), P. cynomolgi (51.4 %) P. coatneyi (45.7 %) and P. fieldi (2.9 %). A total of nine macaques had mono-infection with P. knowlesi (four), P. cynomolgi (two), P. coatneyi (two) and P. fieldi (one). Eleven of the macaques had dual infections while 12 had triple infections. Three macaques were infected with four species of Plasmodium. Molecular and phylogenetic analysis confirmed the five species of Plasmodium parasites.ConclusionThis study has provided evidence to elucidate the presence of transmission of malaria parasites among the local macaques in Hulu Selangor. Since malaria is a zoonosis, it is important to determine the new control strategies for the control of malaria.

Dataset Information

Genomics data of L. borgpetersenii strain HP364 and L. weilii strain SC295 isolated from rodents captured from human leptospirosis outbreak areas in Selangor, Malaysia.

Publications

Genomics data of <i>L. borgpetersenii</i> strain HP364 and <i>L. weilii</i> strain SC295 isolated from rodents captured from human leptospirosis outbreak areas in Selangor, Malaysia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets