<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="BioProject" alias="PRJNA744339" accession="SRP327278">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP327278</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA744339</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Julong hot spring sediment metagenome Raw sequence reads</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Metagenomics"/>
      <STUDY_ABSTRACT>Julong high-altitude volcanic hot springs in northeast China are of undeniable interest for microbiological studies, due to their unique, extreme environmental conditions. The objective of this study was to provide a comprehensive analysis of the unexplored fungal and bacterial community composition, structure and networks in sediments and water from Julong Hot Springs, using a combination of culture-based methods and metabarcoding. A total of 65 fungal and 21 bacterial strains were isolated. Fungal genera Trichoderma and Cladosporium were dominant in sediments, while the most abundant fungi in hot spring water were Aspergillus and Alternaria. Bacterial community in sediments and water was dominated by the genera Chryseobacterium and Pseudomonas, respectively. Metabarcoding analysis revealed significant differences in the microorganism communities from the two hot springs. Results suggested a strong influence of pH on the analyzed microbial diversity, at least when the environmental conditions became clearly alkaline. Our analyses indicated that mutualistic interactions may play an essential role in shaping stable microbial networks in the studied hot springs. The much more complicated bacterial than fungal network described in our study may suggest that the more flexible trophic strategies of bacteria are beneficial for their survival and fitness under extreme conditions.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>Julong hot spring sediment metagenome</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
  </STUDY>
</STUDY_SET>
