title: Effects of two probiotic Lactobacillus strains on jejunal and cecal microbiota of broiler chicken under acute heat stress condition as revealed by molecular analysis of 16S rRNA genes.
abstract: We examined the effects of probiotic Lactobacillus strains of Lactobacillus agilis JCM 1048 and Lactobacillus salivarius subsp. salicinius JCM 1230 on jejunal and cecal microbiota of broiler chicken under heat stress condition using terminal restriction fragment length polymorphism (T-RFLP) analysis. The jejunal bacterial community was limited to a few bacterial groups, mostly Lactobacillus spp. A relatively abundant and higher prevalence of Lactobacillus spp. were observed in the jejunal and cecal microbiota of the probiotic chickens compared with those of the control chickens under heat stress condition. In general, the probiotic strains did not significantly affect the abundance of L. agilis and L. salivarius in chicken intestine but clearly contributed to increasing their prevalence in the probiotic chickens. The probiotic Lactobacillus strains enriched the diversity of Lactobacillus flora in chicken jejunum and cecum by increasing the abundance and prevalence of Lactobacillus spp. inhabiting the intestine. The richness of Lactobacillus species tended to be similar among the jejunal and cecal microbiota. The bacterial community of cecum was complex and age-dependent. The major components of the cecal microbiota were clostridia and lactobacilli. The Clostridium subcluster XIVa was the most predominant group in chicken cecum. Probiotic Lactobacillus strains restored the microbial balance and maintained the natural stability of indigenous bacterial microbiota following heat stress-induced changes.
authors.affiliation: Institute of Biotechnology, Vietnamese Academy of Science and Technology, Hanoi, Vietnam.
authors.forename: Pham Thi Ngoc
authors.initials: PT
authors.lastname: Lan
authors.forename: Mitsuo
authors.initials: M
authors.lastname: Sakamoto
authors.forename: Yoshimi
authors.initials: Y
authors.lastname: Benno
mesh_terms: D000367:Age Factors; D000818:Animals; D002432:Cecum / Q000382:microbiology*; D002645:Chickens / Q000382:microbiology*; D016000:Cluster Analysis; D015169:Colony Count, Microbial / Q000662:veterinary; D004269:DNA, Bacterial / Q000737:chemistry / Q000235:genetics; D018882:Heat Stress Disorders / Q000382:microbiology*; D007583:Jejunum / Q000382:microbiology*; D007778:Lactobacillus / Q000235:genetics / Q000502:physiology*; D016133:Polymerase Chain Reaction / Q000662:veterinary; D012150:Polymorphism, Restriction Fragment Length; D019936:Probiotics / Q000494:pharmacology*; D012336:RNA, Ribosomal, 16S / Q000032:analysis* / Q000737:chemistry / Q000235:genetics; D011897:Random Allocation; D018709:Statistics, Nonparametric
chemical_list: D004269:DNA, Bacterial; D012336:RNA, Ribosomal, 16S