Published 2024 | Version v2
Dataset Open

The Influence of Vaginal Microbiota on Ewe Fertility: A Metagenomic and Functional Genomic Approach

  • 1. ROR icon Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
  • 2. ROR icon Universidad Politécnica de Madrid
  • 3. ROR icon Instituto de Investigacións Mariñas
  • 4. Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria: Madrid, Madrid, ES
  • 5. ROR icon Centro de Investigación y Tecnología Agroalimentaria de Aragón

Description

This dataset contains FASTQ files of sequencing data from the study "The Influence of Vaginal Microbiota on Ewe Fertility: A Metagenomic and Functional Genomic Approach" conducted by the same research team. The dataset includes raw metagenomic sequencing reads generated from the vaginal microbiota of ewes using nanopore technology.

The data comprises 13 sequencing runs performed with nanopore technology. Each run contains 24 FASTQ files, with each file corresponding to a unique barcode that represents the sequence of a specific sample (see the metadata file for details). Barcode 24 in each run is a control and does not correspond to a biological sample. Run FAW56643 includes 21 samples, so barcodes 22 and 23 are empty and not associated with any sequences. Details of the samples and their corresponding barcodes are provided in the metadata table.

The sequencing data have been filtered to remove reads shorter than 200 base pairs to minimize noise and optimize storage efficiency. These data were analyzed to investigate the composition and diversity of microbial communities, their potential influence on reproductive performance, and the genes and pathways associated with these communities.

Files

Metadata_Metagenome_Fertiliry.txt

Files (134.5 GB)

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md5:6673a8bb6cc4602e1576cb3f4ba5f185
9.5 GB Download
md5:51042735c4d92973d1c8aad30f7bf5c2
9.3 GB Download
md5:6c1169374025280def8440022f456194
8.7 GB Download
md5:7aa466865be612f7989b91a1c942e548
12.4 GB Download
md5:713736b0a58bab94a304604e328e926f
8.6 GB Download
md5:9aaa75db2824a9aad2f7fdf01a3d9984
12.5 GB Download
md5:3187dd1026b98f627a9552e783dd6ea3
12.6 GB Download
md5:0cb83394757f7f4ac2a0976e8d3ea20c
11.1 GB Download
md5:8739872ea3a9fb41aca01ef95634be0a
12.7 GB Download
md5:e24b52096647f0709aa47b5ed6b6bb8b
11.0 GB Download
md5:8260381951a29bf413acb80d925f792d
9.5 GB Download
md5:48399123994ef958521bad14b2ee03a5
8.0 GB Download
md5:74363e5253a31806f678f4c12c789e63
8.4 GB Download
md5:434770eb80f6c88816714728ce992356
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Additional details

Funding

Ministerio de Ciencia, Innovación y Universidades
Ministerio de Ciencia, Innovación y Universidades, Spain RTI-2018-096487-R-C33
Ministerio de Ciencia, Innovación y Universidades
Ministerio de Ciencia, Innovación y Universidades, Spain PRE2019-090087