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Transcriptomic analysis on the promoter regions discover gene networks involving mastitis in cattle.
Gorji, Abdolvahab Ebrahimpour; Roudbari, Zahra; Sadeghi, Balal; Javadmanesh, Ali; Sadkowski, Tomasz.
Afiliação
  • Gorji AE; Department of Fisheries, Faculty of Animal Sciences and Fisheries, Sari Agricultural and Natural Resources University, Sari, Iran.
  • Roudbari Z; Department of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran. Electronic address: Roudbari.zahra@ujiroft.ac.ir.
  • Sadeghi B; Department of Food Hygiene and Public Health, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran. Electronic address: sadeghi.balal@uk.ac.ir.
  • Javadmanesh A; Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
  • Sadkowski T; Department of Physiological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, Warsaw, Poland.
Microb Pathog ; 137: 103801, 2019 Dec.
Article em En | MEDLINE | ID: mdl-31618669
ABSTRACT
Mastitis is one of the costliest diseases in dairy farms caused by infection of different microorganisms such as Escherichia coli, Streptococcus uberis and Staphylococcus aureus. Promoters are significantly involved in regulating gene expression and shedding light on the mechanisms of transcriptional regulation in physiological and immunological processes of the infections. Exploiting regulatory elements such as transcription factor binding sites (TFBSs modules) on the promoter region could reveal co-regulated genes, which allow screating regulatory models and executing a cross-sectional analysis on several databases. In this study, the promoter regions of 11 genes associated with contagious mastitis including CCL4, CXCL8, STAT3, IKBKB, MAPK14, NFKBIA, NFKB1, TNF, IL18, IL6, and HCK were investigated to predict the activating regulatory modules on promoters and to discover the key related transcription factors. By exploring the promoter regions, 228 genes were discovered comprising the same transcription factors modules. Out of 228 genes, 36 were validated using five microarray datasets. The promoter research of these genes revealed that as many as 7 down-regulated and 12 up-regulated genes are predictable in the network. The genes whose functions were associated with the initial gene list (11 genes), were identified by DAVID queries with TFBSs models implying that the approach provides a clear image of the underlying regulatory mechanism of gene expression profile and offers a novel approach in designing gene networks in cattle.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Regiões Promotoras Genéticas / Redes Reguladoras de Genes / Mastite Bovina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Microb Pathog Assunto da revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Regiões Promotoras Genéticas / Redes Reguladoras de Genes / Mastite Bovina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Microb Pathog Assunto da revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irã