<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE168060" accession="SRP308848">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP308848</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA705971</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE168060</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Transcriptome profiling of local Kashmiri Vs commercial poultry for disease resistance against salmonellosis</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Salmonella being one of the major infectious diseases in poultry causes considerable economical losses in terms of mortality and morbidity especially in countries which lack effective vaccination programs. Salmonellosis is considered to be most important zoonotic disease which causes considerable foodborne illness that leads to enormous economic loses. To minimize such losses, enhancing disease resistance to different pathogens seems to be a promising strategy. The indigenous chicken, evolved through thousands of years of natural selection, are well adapted to the local climatic conditions with better resistance to diseases. In the present study we investigated liver and spleen transcriptome profile of indigenous (Kashmir faverolla) breed and commercial broiler poultry at day 5 post-inoculation with Salmonella typhimurium using RNA sequencing. The DEGs and pathways identified shall provide potential targets to enhance disease resistance in poultry through successful breeding programmes. Overall design: Two tissues (liver and spleen) from two chicken breeds i.e. Kashmir faverolla and commercial broiler were taken following infection with Salmonella typhimurium. The samples were taken in replicates with respective controls aswell.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE168060</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>37098463</ID>
        </XREF_LINK>
      </STUDY_LINK>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>37372463</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
