<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY accession="ERP107533" alias="ena-STUDY-PROIMI-15-03-2018-18:47:33:220-1967" center_name="PROIMI">
    <IDENTIFIERS>
      <PRIMARY_ID>ERP107533</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject">PRJEB25599</EXTERNAL_ID>
      <SUBMITTER_ID namespace="PROIMI">ena-STUDY-PROIMI-15-03-2018-18:47:33:220-1967</SUBMITTER_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Metagenomics of Brava and Tebenquiche lakes microbial mats</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Atacama region in Chile is one of the most arid locations in the world. Extreme conditions in the area include: high UV irradiation, hypersalinity, drastic temperature changes, and desiccation. Hypersaline lakes can be found in this environment, and therein, bacterial communities thrive in microbial mats and other structures. WGS metagenomics allows to analyze the genes in the environment and infer functional and taxonomic diversity, and also their influence in the biogeochemical setting. In the datasets from this project, two microbial mats from lakes Brava and Tebenquiche, in Atacama region in Chile, were analyzed.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>Brava and Tebenquiche metagenomes</CENTER_PROJECT_NAME>
      <STUDY_DESCRIPTION>Atacama region in Chile is one of the most arid locations in the world. Extreme conditions in the area include: high UV irradiation, hypersalinity, drastic temperature changes, and desiccation. Hypersaline lakes can be found in this environment, and therein, bacterial communities thrive in microbial mats and other structures. WGS metagenomics allows to analyze the genes in the environment and infer functional and taxonomic diversity, and also their influence in the biogeochemical setting. In the datasets from this project, two microbial mats from lakes Brava and Tebenquiche, in Atacama region in Chile, were analyzed.</STUDY_DESCRIPTION>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-FIRST-PUBLIC</TAG>
        <VALUE>2018-03-21</VALUE>
      </STUDY_ATTRIBUTE>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-LAST-UPDATE</TAG>
        <VALUE>2018-03-15</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
