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Genomic data of Leptospira interrogans HP358 isolated from rodent captured from the human leptospirosis suspected areas of Selangor state, Malaysia.

ABSTRACT: The data provided in this article is the genomic sequence of new Leptospira isolate, Leptospira interrogans strain HP358 (L. interrogans HP358) isolated from rodent, Sundamys muelleri (S. muelleri), captured from the human leptospirosis suspected area, in forest environment, Hulu Perdik, Selangor. The kidney of the rodent was cultured, and the genomic DNA of pure Leptospira isolate was extracted and sequenced. The de novo assembly of genome generated 118 contigs with N50 of 133,176bp. The genome size of the L. interrogans HP358 was determined with a length of 4,808,724 and 35.01% G+C content with 229 subsystems, 5236 coding sequences and 39 RNAs. The whole genome shotgun project has been deposited in NCBI GenBank under the accession number JAFCYY000000000.1.

SUBMITTER: Philip N

PROVIDER: S-EPMC8281603 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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Genomic data of Leptospira interrogans HP358 isolated from rodent captured from the human leptospirosis suspected areas of Selangor state, Malaysia.

Philip Noraini N Jani Jaeyres J Azhari Nurul Natasya NN Sekawi Zamberi Z Neela Vasantha Kumari VK

Data in brief 20210710

The data provided in this article is the genomic sequence of new Leptospira isolate, Leptospira interrogans strain HP358 (L. interrogans HP358) isolated from rodent, Sundamys muelleri (S. muelleri), captured from the human leptospirosis suspected area, in forest environment, Hulu Perdik, Selangor. The kidney of the rodent was cultured, and the genomic DNA of pure Leptospira isolate was extracted and sequenced. The de novo assembly of genome generated 118 ...[more]

PMID: 34295952

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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.

Dataset Information

Genomic data of Leptospira interrogans HP358 isolated from rodent captured from the human leptospirosis suspected areas of Selangor state, Malaysia.

Publications

Genomic data of <i>Leptospira interrogans</i> HP358 isolated from rodent captured from the human leptospirosis suspected areas of Selangor state, Malaysia.

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