BUSCADOR RECOLECTA

Bacterial genera present in several areas of a pig farm were analyzed using high-throughput sequencing techniques. Samples were collected from the skin and feces of animals, as well as from surfaces, water, and air. The analyses revealed a strong correlation between air and skin samples, supporting the idea that bacterial growth on skin is potentially a mechanism of aerosolization and airborne transport. A water?air transmission route also appears to be present, although the direction of the transport mechanism cannot yet be determined. Other potential routes, such as contact with surfaces or feces, seem to be less efficient., European Commission

The COVID-19 pandemic highlighted the dangers of airborne pathogen transmission. SARS-CoV-2 is known to be transmitted through aerosols; however, little is known about the dynamics of these aerosols in real environments, the conditions, and the minimum viral load required for infection. Efficiently measuring and capturing pathogens present in the air would help to understand the infection process. Air samplers usually take several hours to obtain an air sample. In this work a fast (1?2 min) method for capturing bioaerosols into a liquid medium has been tested in hospital rooms with COVID-19 patients. This fast sampling allows detecting transient levels of aerosols in the air. SARS-CoV-2 RNA is detected in aerosols from several hospital rooms at different levels. Interestingly, there are sudden boosts of the SARS-CoV-2 load in the air, suggesting that SARS-CoV-2 could be released abundantly at certain moments. These results show that the distribution of SARS-CoV-2-containing aerosols is not homogeneous in the hospital room. This technology is a fast and effective tool for capturing airborne matter in a very short time, which allows for fast decision-making any kind of hazard in the air is detected. It is also useful for a better understanding of aerosols dynamics., European Union

[Notes]
A total of 67 samples were obtained from the farm, out of which sufficient DNA was extracted from 63 samples for 16S sequencing.The type of samples analyzed were environmental and animal samples: air, surfaces, water, animal skin and animal feces.

Sequencing libraries were generated using TruSeq® DNA PCR-Free Sample Preparation Kit (Illumina, USA), according to the manufacturer’s instructions, and index codes were added. Library quality was assessed using the Qubit@ 2.0 Fluorometer (Thermo Scientific) and the Agilent Bioanalyzer 2100 system. Finally, sequencing was performed on an Illumina NovaSeq platform, generating 250 bp paired-end reads. The sequencing of the 16S region was performed to assess the microbial composition of the collected samples., [Materia]
Ciencias de la tierra y el medioambiente., Metagenomic study of environmental samples collected at a pig farm in Spain. This study is part of the HE-FARM project under the Horizon Europe programme, which aims to improve biosecurity on farms.

Bacterial genera present in several areas of a pig farm were analyzed using high-throughput sequencing techniques. Samples were collected from the skin and feces of animals, as well as from surfaces, water, and air. The analyses revealed a strong cor-relation between air and skin samples, supporting the idea that bacterial growth on skin is potentially a mechanism of aerosolization and airborne transport. A water–air trans-mission route also appears to be present, although the direction of the transport mecha-nism cannot yet be determined. Other potential routes, such as contact with surfaces or feces, seem to be less efficient.

This data contains the raw data used for metagenomic analyses (16S) of environmental samples in a pig farm.

It includes the genomic data for each sample analyzed and compared in the study titled 'Skin Aerosolisation Predominance in a Pig Farm'. The data is organized in a way that facilitates further exploration and analysis, ensuring that researchers can effectively utilize it for their own studies., European Union: PROYECTO HORIZON-CL6-2022-FARM2FORK-01-HE-FARM-101084097 HE-FARM, Peer reviewed