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Characterization and comparative analysis of transcriptional profiles of porcine colostrum and mature milk at different parities.
Keel, Brittney N; Lindholm-Perry, Amanda K; Oliver, William T; Wells, James E; Jones, Shuna A; Rempel, Lea A.
Afiliación
  • Keel BN; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA. brittney.keel@usda.gov.
  • Lindholm-Perry AK; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Oliver WT; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Wells JE; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Jones SA; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA.
  • Rempel LA; USDA-ARS Roman L Hruska US Meat Animal Research Center, Clay Center, NE, 68933, USA.
BMC Genom Data ; 22(1): 25, 2021 08 10.
Article en En | MEDLINE | ID: mdl-34376140
BACKGROUND: Porcine milk is a complex fluid, containing a myriad of immunological, biochemical, and cellular components, made to satisfy the nutritional requirements of the neonate. Whole milk contains many different cell types, including mammary epithelial cells, neutrophils, macrophages, and lymphocytes, as well nanoparticles, such as milk exosomes. To-date, only a limited number of livestock transcriptomic studies have reported sequencing of milk. Moreover, those studies focused only on sequencing somatic cells as a proxy for the mammary gland with the goal of investigating differences in the lactation process. Recent studies have indicated that RNA originating from multiple cell types present in milk can withstand harsh environments, such as the digestive system, and transmit regulatory molecules from maternal to neonate. Transcriptomic profiling of porcine whole milk, which is reflective of the combined cell populations, could help elucidate these mechanisms. To this end, total RNA from colostrum and mature milk samples were sequenced from 65 sows at differing parities. A stringent bioinformatic pipeline was used to identify and characterize 70,841 transcripts. RESULTS: The 70,841 identified transcripts included 42,733 previously annotated transcripts and 28,108 novel transcripts. Differential gene expression analysis was conducted using a generalized linear model coupled with the Lancaster method for P-value aggregation across transcripts. In total, 1667 differentially expressed genes (DEG) were identified for the milk type main effect, and 33 DEG were identified for the milk type x parity interaction. Several gene ontology (GO) terms related to immune response were significant for the milk type main effect, supporting the well-known fact that immunoglobulins and immune cells are transferred to the neonate via colostrum. CONCLUSIONS: This is the first study to perform global transcriptome analysis from whole milk samples in sows from different parities. Our results provide important information and insight into synthesis of milk proteins and innate immunity and potential targets for future improvement of swine lactation and piglet development.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Paridad / Calostro / Perfilación de la Expresión Génica / Leche Límite: Animals / Pregnancy Idioma: En Revista: BMC Genom Data Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Paridad / Calostro / Perfilación de la Expresión Génica / Leche Límite: Animals / Pregnancy Idioma: En Revista: BMC Genom Data Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido