METABOLIC COOPERATION IN ORAL MICROBIAL COMMUNITIES DURING GROWTH ON MUCIN

被引:128
|
作者
BRADSHAW, DJ
HOMER, KA
MARSH, PD
BEIGHTON, D
机构
[1] ROYAL COLL SURGEONS ENGLAND,KINGS COLL SCH MED & DENT,FAC CLIN DENT,DEPT DENT SCI,LONDON SE5 9RW,ENGLAND
[2] CTR APPL MICROBIOL & RES,DIV RES,SALISBURY SP4 0JG,WILTS,ENGLAND
来源
MICROBIOLOGY-UK | 1994年 / 140卷
关键词
DENTAL PLAQUE; BACTERIAL COMMUNITIES; CHEMOSTAT; GLYCOSIDASE; MUCIN;
D O I
10.1099/13500872-140-12-3407
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Hog gastric mucin has been used as a model glycoprotein to determine the role of particular glycosidases produced by different oral bacteria in the development of stable, diverse microbial communities. The patterns of glycosidase and protease activity were determined in pure cultures of ten representative species of oral bacteria using synthetic substrates. A five-member mixed culture was established in a chemostat, comprising species with minimal glycosidase and protease activity, in which hog gastric mucin was the major carbon and energy source. Introduction of additional species with novel enzyme activities (e.g. sialidase, alpha-fucosidase and endopeptidase) led to their establishment within the community to make communities with seven, eight, nine and ten members and resulted in an increase in the total viable counts of the microbial consortium. This increase in viable count was made up of the numbers of the newly added species as well as from a rise in the numbers of the existing community members. This result suggested that glycoprotein catabolism involved the synergistic and concerted action of several species with overlapping patterns of enzyme activity. Such metabolic cooperation results in the liberation of additional nutrients, and this may help to maintain the characteristic diversity of resident microbial communities found in many natural habitats.
引用
收藏
页码:3407 / 3412
页数:6
相关论文
共 50 条
  • [31] Interspecies interactions within oral microbial communities
    Kuramitsu, Howard K.
    He, Xuesong
    Lux, Renate
    Anderson, Maxwell H.
    Shi, Wenyuan
    MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, 2007, 71 (04) : 653 - +
  • [32] Intercellular communications in multispecies oral microbial communities
    Guo, Lihong
    He, Xuesong
    Shi, Wenyuan
    FRONTIERS IN MICROBIOLOGY, 2014, 5
  • [33] Bottom-Up Approaches to Synthetic Cooperation in Microbial Communities
    Amor, Daniel Rodriguez
    Dal Bello, Martina
    LIFE-BASEL, 2019, 9 (01):
  • [34] Effects of Transplantation and Microhabitat on Rhizosphere Microbial Communities during the Growth of American Ginseng
    Chang, Fan
    Jia, Feng-An
    Guan, Min
    Jia, Qing-An
    Sun, Yan
    Li, Zhi
    AGRONOMY-BASEL, 2023, 13 (07):
  • [35] Growth dynamics and the evolution of cooperation in microbial populations
    Cremer, Jonas
    Melbinger, Anna
    Frey, Erwin
    SCIENTIFIC REPORTS, 2012, 2
  • [36] Growth dynamics and the evolution of cooperation in microbial populations
    Jonas Cremer
    Anna Melbinger
    Erwin Frey
    Scientific Reports, 2
  • [37] Responses of microbial communities and metabolic activities in the rhizosphere during phytoremediation of Cd-contaminated soil
    Liu, Chenjing
    Lin, Hai
    Li, Bing
    Dong, Yingbo
    Yin, Tingting
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2020, 202
  • [38] Structures and anaerobic metabolic activity of attached microbial communities during biofilm formation in aquaculture systems
    Li, Jialei
    Li, Zhifei
    Xie, Jun
    Wang, Guangjun
    Zhang, Kai
    Yu, Ermeng
    Gong, Wangbao
    Tian, Jingjing
    Nature Environment and Pollution Technology, 2019, 18 (04): : 1283 - 1291
  • [39] Rumen microbial communities influence metabolic phenotypes in lambs
    Morgavi, Diego P.
    Rathahao-Paris, Estelle
    Popova, Milka
    Boccard, Julien
    Nielsen, Kristian F.
    Boudra, Hamid
    FRONTIERS IN MICROBIOLOGY, 2015, 6
  • [40] Metabolic modelling approaches for describing and engineering microbial communities
    Garcia-Jimenez, Beatriz
    Torres-Bacete, Jesus
    Nogales, Juan
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 226 - 246