Microbial Changes Associated with IBD Mouse Model and Microbiota Transplantation Confers Colitis Symptom in Microbiota Deletion Mice
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Role of the Intestinal Microbiota in the Modulation of Food Intake and Body Weight
THE ROLE OF THE INTESTINAL MICROBIOTA IN THE MODULATION OF FOOD INTAKE AND BODY WEIGHT Matthew John Dalby BSc (Hons) Medical Microbiology, University of Edinburgh MSc (Distinction) Molecular Nutrition, University of Aberdeen A thesis presented for the degree of Doctor of Philosophy at the University of Aberdeen 2016 DECLARATION I declare that this thesis has been composed by myself and not been presented or accepted in any previous application for degree. The work recorded herein was carried out by myself unless otherwise stated. All sources of information have been acknowledged by means of reference. Matthew John Dalby Page | II ACKNOWLEDGEMENTS I would like to express my gratitude to my supervisors, Peter Morgan and Sandy Ross, for their continuous support and guidance during my project, for being so understanding when my health has made work difficult, and for generally being the best supervisors I could have wished for. I am indebted to Lynn Thomson for her invaluable help, advice in the lab, and for always knowing where everything is; and, to Karen Garden for enabling the completion of work I would not have been able to finish. I also wish to thank Lynda Williams for her advice over the years. I am grateful to everyone associated with the Lawson Lab for being so kind, friendly, and helpful throughout my time there. I am also indebted to Alan Walker for his teaching and time in grasping the complexities Next Generation sequencing. I am grateful to Donna Wallace and all of the staff at the MRF for all of the help and work in setting up and running the mouse studies, and to Christine Grant for her aid with sample collection. -
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core Contents 1 Methods: 1 1.1 Sequencing . .1 1.2 Data processing . .1 2 Summary of Findings: 2 2.1 Sequencing analysis . .2 2.2 Microbial diversity . .2 2.2.1 Alpha Diversity . .2 2.2.2 Beta Diversity . 10 2.3 Data analysis using taxa abundance data . 13 2.3.1 Stacked bar graphs of Taxa abundances at each level . 14 A Appendix 1 (Taxa Abundance Tables) 30 B Appendix 2 (Taxa removed from filtered datasets at each level) 37 References: 43 Core Contacts: Helen E. Raybould, Ph.D., Core Leader ([email protected]) Trina A. Knotts, Ph.D., Core Co-Leader ([email protected]) Michael L. Goodson, Ph.D., Core Scientist ([email protected]) Client(s): Kent Lloyd, DVM PhD ;MMRRC; UC Davis Project #: MBP-2079 MMRRC strain ID: MMRRC_043687 Animal Information: The strain was donated to the MMRRC by John Rubenstein at UCSF. Fecal samples were obtained from animals housed under the care of John Rubenstein at UCSF. 1 Methods: Brief Project Description: MMRRC strains are often contributed to the MMRRC to fulfill the resource sharing aspects of NIH grants. Since transporting mice to another facilty often causes a microbiota shift, having a record of the original fecal microbiota from the donor institution where the original phenotyping or testing was performed may prove helpful if a phenotype is lost after transfer. Several MMRRC mouse lines were selected for fecal microbiota profiling of the microbiota. Table 1: Animal-Strain Information X.SampleID TreatmentGroup Animal_ID Genotype Line Sex MMRRC.043687.M218 MMRRC.043687_Het_M M218 Het MMRRC.043687 M MMRRC.043687.M221 MMRRC.043687_Het_M M221 Het MMRRC.043687 M 1 1.1 Sequencing Frozen fecal or regional gut samples were shipped on dry ice to UC Davis MMPC and Host Microbe Systems Biology Core. -
A-1 A-2 A-3 A-4 B-1 B-2 B-3 B-4 Firmicutes 64.124 53.5694
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) Gut Supplementary table 4. Abundance of gut microbes in eight normal diet mice Group A Group B Mean Mean Taxon Bacteria abundance abundance P-value A-1 A-2 A-3 A-4 B-1 B-2 B-3 B-4 in A(%) in B(%) Firmicutes 64.124 53.5694 61.0436 49.0273 55.938 54.0848 57.4528 55.3436 56.94108 55.7048 1 Bacteroidetes 20.5758 34.0121 25.5683 37.3629 32.2311 35.1894 26.227 27.9919 29.37978 30.40985 0.885714 Proteobacteria 3.9745 2.937 2.5058 3.082 2.408 2.6496 2.6024 3.3909 3.124825 2.762725 0.485714 Deferribacteres 4.0744 7.5101 4.5577 5.5551 3.1394 2.2448 7.2437 7.6617 5.424325 5.0724 0.885714 Phylum Tenericutes 4.2897 0.1079 3.5036 3.0895 3.3889 3.2412 5.0215 3.4831 2.747675 3.783675 0.685714 Actinobacteria 2.3601 0.813 1.6599 1.0556 2.4452 1.9419 0.8619 1.2973 1.47215 1.636575 0.685714 Cyanobacteria 0.3613 0.6001 0.9922 0.7201 0.3425 0.4982 0.4453 0.7358 0.668425 0.50545 0.485714 Saccharibacteria 0.2037 0.1497 0.1369 0.0792 0.062 0.133 0.1091 0.0821 0.142375 0.09655 0.2 Verrucomicrobia 0.0077 0 0 0 0 0 0 0 0.001925 0 0.453255 Clostridia 53.0789 52.2715 56.6566 42.6842 47.843 43.2599 50.5484 51.7449 51.1728 48.34905 0.342857 Bacteroidia 20.5758 34.0121 25.5683 37.3629 32.2311 35.1894 26.227 27.9886 29.37978 30.40903 0.885714 Deferribacteres 4.0744 7.5101 4.5577 5.5551 3.1394 2.2448 7.2437 7.6617 5.424325 5.0724 0.885714 Erysipelotrichia 9.6979 0.5569 -
Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core
D4006- Gut Microbiota Analysis UC Davis MMPC - Microbiome & Host Response Core Contents 1 Methods: 1 1.1 Sequencing . .1 1.2 Data processing . .1 2 Summary of Findings: 2 2.1 Sequencing analysis . .2 2.2 Microbial diversity . .2 2.2.1 Alpha Diversity . .2 2.2.2 Beta Diversity . 10 2.3 Data analysis using taxa abundance data . 13 2.3.1 Stacked bar graphs of Taxa abundances at each level . 14 A Appendix 1 (Taxa Abundance Tables) 30 B Appendix 2 (Taxa removed from filtered datasets at each level) 37 References: 43 Core Contacts: Helen E. Raybould, Ph.D., Core Leader ([email protected]) Trina A. Knotts, Ph.D., Core Co-Leader ([email protected]) Michael L. Goodson, Ph.D., Core Scientist ([email protected]) Client(s): Kent Lloyd, DVM PhD ;MMRRC; UC Davis Project #: MBP-2079 MMRRC strain ID: MMRRC_043616 Animal Information: The strain was donated to the MMRRC by Kathleen Cho at University of Michigan Medical School. Fecal samples were obtained from animals housed under the care of Kathleen Cho at University of Michigan Medical School. 1 Methods: Brief Project Description: MMRRC strains are often contributed to the MMRRC to fulfill the resource sharing aspects of NIH grants. Since transporting mice to another facilty often causes a microbiota shift, having a record of the original fecal microbiota from the donor institution where the original phenotyping or testing was performed may prove helpful if a phenotype is lost after transfer. Several MMRRC mouse lines were selected for fecal microbiota profiling of the microbiota. Table 1: Animal-Strain Information X.SampleID TreatmentGroup Animal_ID Genotype Line Sex MMRRC.043616.M12421 MMRRC.043616_Tg.plus_M M12421 Tg.plus MMRRC.043616 M MMRRC.043616.M12422 MMRRC.043616_Tg.plus_M M12422 Tg.plus MMRRC.043616 M 1 1.1 Sequencing Frozen fecal or regional gut samples were shipped on dry ice to UC Davis MMPC and Host Microbe Systems Biology Core. -
Jatrorrhizine Balances the Gut Microbiota and Reverses Learning
www.nature.com/scientificreports OPEN Jatrorrhizine Balances the Gut Microbiota and Reverses Learning and Memory Defcits in APP/PS1 transgenic mice Sheng Wang1,4, Wei Jiang2,4, Ting Ouyang1, Xiu-Yin Shen1, Fen Wang1, Yu-hua Qu3, Min Zhang1, Tao Luo1* & Hua-Qiao Wang1* Alzheimer’s disease (AD) is a complex disorder infuenced by both genetic and environmental components and has become a major public health issue throughout the world. Oxidative stress and infammation play important roles in the evolution of those major pathological symptoms. Jatrorrhizine (JAT), a main component of a traditional Chinese herbal, coptidis rhizome, has been shown to have neuroprotective efects and we previously showed that it is also able to clear oxygen free radicals and reduce infammatory responses. In this study, we demonstrated that JAT administration could alleviate the learning and memory defcits in AD. Furthermore, we also found that JAT treatment reduced the levels of Aβ plaques in the cortex and hippocampus of APP/PS1 double-transgenic mice. Other studies suggest that there are gut microbiome alterations in AD. In order to explore the underlying mechanisms between gut microbiota and AD, DNA sequencing for 16s rDNA V3-V4 was performed in fecal samples from APP/PS1 transgenic mice and C57BL/6 wild-type (WT) mice. Our results indicated that APP/PS1 mice showed less Operational Taxonomic Units (OTUs) abundance in gut microbiota than WT mice and with diferent composition. Furthermore, JAT treatment enriched OTUs abundance and alpha diversity in APP/PS1 mice compared to WT mice. High dose of JAT treatment altered the abundance of some specifc gut microbiota such as the most predominant phylum Firmicutes and Bacteroidetes in APP/ PS1 mice.