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Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei

Eisenia fetida and Eisenia andrei are closely related earthworm species that play a crucial part in soil and influence its structure and organic matter cycling. Due to their essential environmental role, they are widely used as model organisms in a vast spectrum of research areas. In this work, we p...

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Autores principales: Jaskulak, Marta, Vandenbulcke, Franck, Rorat, Agnieszka, Pauwels, Maxime, Zorena, Kararzyna, Grzmil, Paweł, Płytycz, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679477/
https://www.ncbi.nlm.nih.gov/pubmed/36425961
http://dx.doi.org/10.1016/j.dib.2022.108612
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author Jaskulak, Marta
Vandenbulcke, Franck
Rorat, Agnieszka
Pauwels, Maxime
Zorena, Kararzyna
Grzmil, Paweł
Płytycz, Barbara
author_facet Jaskulak, Marta
Vandenbulcke, Franck
Rorat, Agnieszka
Pauwels, Maxime
Zorena, Kararzyna
Grzmil, Paweł
Płytycz, Barbara
author_sort Jaskulak, Marta
collection PubMed
description Eisenia fetida and Eisenia andrei are closely related earthworm species that play a crucial part in soil and influence its structure and organic matter cycling. Due to their essential environmental role, they are widely used as model organisms in a vast spectrum of research areas. In this work, we partially sequenced genomes of E. fetida and E. andrei, using Illumina technology (Nano 2 × 250 v2 - MiSeq) and de novo assembly strategy. A total of 3785 and 4258 microsatellite or Simple Sequence Repeat (SSR) markers were identified within E. fetida and E. andrei genomic DNA, respectively. The microsatellite markers will facilitate the analyses of genetic diversity and population genetics studies for the two selected earthworm species and their interspecific hybrids.
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spelling pubmed-96794772022-11-23 Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei Jaskulak, Marta Vandenbulcke, Franck Rorat, Agnieszka Pauwels, Maxime Zorena, Kararzyna Grzmil, Paweł Płytycz, Barbara Data Brief Data Article Eisenia fetida and Eisenia andrei are closely related earthworm species that play a crucial part in soil and influence its structure and organic matter cycling. Due to their essential environmental role, they are widely used as model organisms in a vast spectrum of research areas. In this work, we partially sequenced genomes of E. fetida and E. andrei, using Illumina technology (Nano 2 × 250 v2 - MiSeq) and de novo assembly strategy. A total of 3785 and 4258 microsatellite or Simple Sequence Repeat (SSR) markers were identified within E. fetida and E. andrei genomic DNA, respectively. The microsatellite markers will facilitate the analyses of genetic diversity and population genetics studies for the two selected earthworm species and their interspecific hybrids. Elsevier 2022-09-18 /pmc/articles/PMC9679477/ /pubmed/36425961 http://dx.doi.org/10.1016/j.dib.2022.108612 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Jaskulak, Marta
Vandenbulcke, Franck
Rorat, Agnieszka
Pauwels, Maxime
Zorena, Kararzyna
Grzmil, Paweł
Płytycz, Barbara
Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title_full Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title_fullStr Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title_full_unstemmed Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title_short Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei
title_sort data on the identification of microsatellite markers in eisenia fetida and eisenia andrei
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679477/
https://www.ncbi.nlm.nih.gov/pubmed/36425961
http://dx.doi.org/10.1016/j.dib.2022.108612
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