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Metagenomic analysis of the intestinal microbiome in goats on cactus and Salicornia-based diets

  • Fredy Fabián Domínguez
  • , Milly Edith Vega Crisanto
  • , Rosa Liliana Solís Castro
  • , Lourdes Vásquez Rojas
  • , Vanessa Miluska Baylon Cuba
  • , Gabriela Raquel Sucapuca Santos
  • , Marcos Walter Sanjinez Salazar
  • , Carlos Alberto Luque Ramos
  • , Eric Mialhe

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: The Peruvian coast is characterized by its arid and saline soils, the cactus being an alternative for arid soils and Salicornia for saline soils. Therefore, it is necessary to develop nutrition based on the intestinal microbiota in goats. Aim: To identify the intestinal microbiota in goats through a metagenomic analysis. Methods: In this study, goats and kids were randomly selected and fed cacti and Salicornia as potential forage species compared to native grass to study the changes in the microbiota using massive sequencing using the 16S rRNA gene as a marker. Results: The sequencing results showed the taxonomic levels of Bacteroidetes and Firmicutes at the phylum level as the most abundant in creole goats’ microbiome, varying from 18% to 36% and 47% to 66%, respectively. At the genus level, variants of the genus Ruminococcaceae stand out, related to cellulose degradation, as the most dominant in all samples, followed by Christensenellaceae, Rikenellaceae, and Prevotellaceae. Also, the genus Akkermansia appeared in greater abundance in kids fed with cactus, being necessary for being related to the intestinal mucosa’s health and avoiding the adhesion of pathogens to the intestinal epithelium. Conclusion: These microbiota changes based on diets with high fiber content are necessary to understand the adaptation of this species to favorable dietary changes.

Original languageEnglish
Pages (from-to)61-68
Number of pages8
JournalOpen Veterinary Journal
Volume12
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022, Faculty of Veterinary Medicine, University of Tripoli. All rights reserved.

Keywords

  • Bacteria
  • Bioinformatic
  • Forage
  • Microbiota
  • Ruminants

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