Microbial community diversity of Jinghong laying hens at peak production based on 16S rRNA sequencing

被引:6
|
作者
Fu, Shijun [1 ]
Guo, Shijin [1 ]
Wang, Jianjun [1 ]
Wang, Yumao [1 ]
Zhang, Zhimei [2 ]
Shen, Zhiqiang [1 ,2 ]
机构
[1] Shandong Binzhou Anim Sci & Vet Med Acad, 169 Yellow River 2 Rd, Binzhou, Shandong, Peoples R China
[2] Shandong Lvdu Ante Anim Drug Co Ltd, Biznhou, Peoples R China
关键词
Laying hen; 16S rRNA; microbiome; gastrointestinal tract; GASTROINTESTINAL-TRACT; PROBIOTICS; MILLIONS; CECUM;
D O I
10.1080/09712119.2018.1520713
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
In this study, the diversity within the duodenum (S), jejunum (K) and caecum (M) contents of the three different intestinal gut sections microbiota of 30-week-old (peak production stage) Jinghong laying hens were evaluated. The bacterial DNA was sequentially isolated and the V3 to V4 regions of 16S rRNA genes were amplified. Results showed that the average bacterial sequences from the duodenum, jejunum and caecum content were identified to be 175.33 +/- 26.63, 64.00 +/- 20.95 and 305.33 +/- 4.16 OTUs, respectively. The inherent OTUs were found among duodenum (75), jejunum (2) and caecum (172). The caecum had the highest diversity (Shannon = 5.57 +/- 0.06) among the three communities. Firmicutes (65.54%) and Proteobacteria (32.68%) were the predominant bacterial phyla in the duodenum content. Firmicutes (97.27%) was the most commonly detected phyla in the jejunum content. As to the caecum, the relatively prominent phyla were Bacteroidetes and Firmicutes and Fusobacteria, accounting for 48.70%, 28.91% and 15.93%, respectively. At the genus level, Lactobacillus, Helicobacter, Bacillus, Peptoclostridium and Campylobacter were the relatively abundant genera in the duodenum content, accounting for 51.76%, 28.07%, 5.89%, 5.04% and 1.70%, respectively. Within the jejunum content, Lactobacillus was the most commonly detected genera, which represent 96.26% of the total genera.
引用
收藏
页码:1430 / 1436
页数:7
相关论文
共 50 条
  • [31] Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
    Sonthiphand, Prinpida
    Rattanaroongrot, Pasunun
    Mek-yong, Kasarnchon
    Kusonmano, Kanthida
    Rangsiwutisak, Chalida
    Uthaipaisanwong, Pichahpuk
    Chotpantarat, Srilert
    Termsaithong, Teerasit
    PEERJ, 2021, 9
  • [32] Deciphering chicken gut microbial dynamics based on high-throughput 16S rRNA metagenomics analyses
    Mohd Asrore Mohd Shaufi
    Chin Chin Sieo
    Chun Wie Chong
    Han Ming Gan
    Yin Wan Ho
    Gut Pathogens, 7
  • [33] Enhanced microbial diversity in the saliva microbiome induced by short-term probiotic intake revealed by 16S rRNA sequencing on the IonTorrent PGM platform
    Dassi, Erik
    Ballarini, Annalisa
    Covello, Giuseppina
    Quattrone, Alessandro
    Jousson, Olivier
    De Sanctis, Veronica
    Bertorelli, Roberto
    Denti, Michela Alessandra
    Segata, Nicola
    JOURNAL OF BIOTECHNOLOGY, 2014, 190 : 30 - 39
  • [34] Microbiota and Autism: A Review on Oral and Gut Microbiome Analysis Through 16S rRNA Sequencing
    Anaclerio, Federico
    Minelli, Maria
    Antonucci, Ivana
    Gatta, Valentina
    Stuppia, Liborio
    BIOMEDICINES, 2024, 12 (12)
  • [35] Impact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy Products
    Xue, Zhengyao
    Kable, Mary E.
    Marco, Maria L.
    MSPHERE, 2018, 3 (05)
  • [36] Bacterial Community Profile of Bovine Mastitis Infected Dairy Cow Milk by 16S rRNA Amplicon Sequencing
    Sabarish, Sasikumar
    Dhanasekaran, Dharumadurai
    INDIAN JOURNAL OF MICROBIOLOGY, 2024,
  • [37] The Bacteriology of Pouchitis A Molecular Phylogenetic Analysis Using 16S rRNA Gene Cloning and Sequencing
    McLaughlin, Simon D.
    Walker, Alan W.
    Churcher, Carol
    Clark, Susan K.
    Tekkis, Paris P.
    Johnson, Matthew W.
    Parkhill, Julian
    Ciclitira, Paul J.
    Dougan, Gordon
    Nicholls, Ralph John
    Petrovska, Liljana
    ANNALS OF SURGERY, 2010, 252 (01) : 90 - 98
  • [38] Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system
    Schloss, Patrick D.
    Jenior, Matthew L.
    Koumpouras, Charles C.
    Westcott, Sarah L.
    Highlander, Sarah K.
    PEERJ, 2016, 4
  • [39] Combining 16S rRNA gene variable regions enables high-resolution microbial community profiling
    Garold Fuks
    Michael Elgart
    Amnon Amir
    Amit Zeisel
    Peter J. Turnbaugh
    Yoav Soen
    Noam Shental
    Microbiome, 6
  • [40] Microbial diversity and community composition of caecal microbiota in commercial and indigenous Indian chickens determined using 16s rDNA amplicon sequencing
    Ramesh J. Pandit
    Ankit T. Hinsu
    Namrata V. Patel
    Prakash G. Koringa
    Subhash J. Jakhesara
    Jalpa R. Thakkar
    Tejas M. Shah
    Georgina Limon
    Androniki Psifidi
    Javier Guitian
    David A. Hume
    Fiona M. Tomley
    Dharamshibhai N. Rank
    M. Raman
    K. G. Tirumurugaan
    Damer P. Blake
    Chaitanya G. Joshi
    Microbiome, 6