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Main Authors: Talamantes-Becerra, Berenice, Chang, Wei-Shan, Michie, Michelle, Hodda, Mike, Hopper, Mariana, Caron, Valerie
Format: Artículo científico
Language:en
Published: Data in brief 2025
Online Access:https://pubmed.ncbi.nlm.nih.gov/41140871/
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author Talamantes-Becerra, Berenice
Chang, Wei-Shan
Michie, Michelle
Hodda, Mike
Hopper, Mariana
Caron, Valerie
author_facet Talamantes-Becerra, Berenice
Chang, Wei-Shan
Michie, Michelle
Hodda, Mike
Hopper, Mariana
Caron, Valerie
Talamantes-Becerra, Berenice
Chang, Wei-Shan
Michie, Michelle
Hodda, Mike
Hopper, Mariana
Caron, Valerie
collection PubMed - marine biology
contents RNA-seq dataset of land snails collected in Australia. Talamantes-Becerra, Berenice Chang, Wei-Shan Michie, Michelle Hodda, Mike Hopper, Mariana Caron, Valerie Snails are known to be host of pathogens and parasites and they can play an important role in the transmission of some parasites and pathogens, including nematodes and trematodes of medical and veterinary importance. They have a diverse diet, and can be classified as detritivores, plant feeders, or carnivores. The datasets presented here include raw RNA-seq data of 10 terrestrial land snails collected in three locations in Australia, including Northern Territory, Queensland and South Australia. The snails were identified morphologically, and RNA was extracted from whole organisms using a modified version of the Maxwell ® RSC simplyRNA Tissue Kit. The sequencing was performed in all samples and generated an average of at least 56 million paired-end reads per sample. RNA-seq raw reads and assembled transcripts including both host-derived and non-host sequences were deposited into a DRYAD repository. Assembled transcripts including only host data are also provided in this project. The dataset has reuse potential for environmental studies related to conservation biology, invasive species surveillance, disease research, educational purposes, development of bioinformatic tools for environmental transcriptomics or host-pathogen interactions. Moreover, the dataset can be used for benchmarking metatranscriptomic classification tools in non-model invertebrates.
format Artículo científico
id pubmed_41140871
institution PubMed
language en
publishDate 2025
publisher Data in brief
record_format pubmed
spellingShingle RNA-seq dataset of land snails collected in Australia.
Talamantes-Becerra, Berenice
Chang, Wei-Shan
Michie, Michelle
Hodda, Mike
Hopper, Mariana
Caron, Valerie
RNA-seq dataset of land snails collected in Australia. Talamantes-Becerra, Berenice Chang, Wei-Shan Michie, Michelle Hodda, Mike Hopper, Mariana Caron, Valerie Snails are known to be host of pathogens and parasites and they can play an important role in the transmission of some parasites and pathogens, including nematodes and trematodes of medical and veterinary importance. They have a diverse diet, and can be classified as detritivores, plant feeders, or carnivores. The datasets presented here include raw RNA-seq data of 10 terrestrial land snails collected in three locations in Australia, including Northern Territory, Queensland and South Australia. The snails were identified morphologically, and RNA was extracted from whole organisms using a modified version of the Maxwell ® RSC simplyRNA Tissue Kit. The sequencing was performed in all samples and generated an average of at least 56 million paired-end reads per sample. RNA-seq raw reads and assembled transcripts including both host-derived and non-host sequences were deposited into a DRYAD repository. Assembled transcripts including only host data are also provided in this project. The dataset has reuse potential for environmental studies related to conservation biology, invasive species surveillance, disease research, educational purposes, development of bioinformatic tools for environmental transcriptomics or host-pathogen interactions. Moreover, the dataset can be used for benchmarking metatranscriptomic classification tools in non-model invertebrates.
title RNA-seq dataset of land snails collected in Australia.
url https://pubmed.ncbi.nlm.nih.gov/41140871/