TY - JOUR
T1 - Emerging Priorities for Microbiome Research
AU - Cullen, Chad M.
AU - Aneja, Kawalpreet K.
AU - Beyhan, Sinem
AU - Cho, Clara E.
AU - Woloszynek, Stephen
AU - Convertino, Matteo
AU - McCoy, Sophie J.
AU - Zhang, Yanyan
AU - Anderson, Matthew Z.
AU - Alvarez-Ponce, David
AU - Smirnova, Ekaterina
AU - Karstens, Lisa
AU - Dorrestein, Pieter C.
AU - Li, Hongzhe
AU - Sen Gupta, Ananya
AU - Cheung, Kevin
AU - Powers, Jennifer Gloeckner
AU - Zhao, Zhengqiao
AU - Rosen, Gail L.
N1 - Funding Information:
The authors of the review were brought together through the 2017 NIH-NSF BD2K Innovation Lab on Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome in which everyone was funded to attend. SB is funded by the Office of Naval Research (N00014-17-1-2677). DAP was supported by a grant from the National Science Foundation (MCB 1818288) and by Pilot Grants from Nevada INBRE (P20GM103440) and the Smooth Muscle Plasticity COBRE
Funding Information:
We thank the NIH and NSF for the 2017 Innovation Lab on Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome, which sparked great conversations to allow this review to happen.
Publisher Copyright:
© Copyright © 2020 Cullen, Aneja, Beyhan, Cho, Woloszynek, Convertino, McCoy, Zhang, Anderson, Alvarez-Ponce, Smirnova, Karstens, Dorrestein, Li, Sen Gupta, Cheung, Powers, Zhao and Rosen.
PY - 2020/2/19
Y1 - 2020/2/19
N2 - Microbiome research has increased dramatically in recent years, driven by advances in technology and significant reductions in the cost of analysis. Such research has unlocked a wealth of data, which has yielded tremendous insight into the nature of the microbial communities, including their interactions and effects, both within a host and in an external environment as part of an ecological community. Understanding the role of microbiota, including their dynamic interactions with their hosts and other microbes, can enable the engineering of new diagnostic techniques and interventional strategies that can be used in a diverse spectrum of fields, spanning from ecology and agriculture to medicine and from forensics to exobiology. From June 19–23 in 2017, the NIH and NSF jointly held an Innovation Lab on Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome. This review is inspired by some of the topics that arose as priority areas from this unique, interactive workshop. The goal of this review is to summarize the Innovation Lab’s findings by introducing the reader to emerging challenges, exciting potential, and current directions in microbiome research. The review is broken into five key topic areas: (1) interactions between microbes and the human body, (2) evolution and ecology of microbes, including the role played by the environment and microbe-microbe interactions, (3) analytical and mathematical methods currently used in microbiome research, (4) leveraging knowledge of microbial composition and interactions to develop engineering solutions, and (5) interventional approaches and engineered microbiota that may be enabled by selectively altering microbial composition. As such, this review seeks to arm the reader with a broad understanding of the priorities and challenges in microbiome research today and provide inspiration for future investigation and multi-disciplinary collaboration.
AB - Microbiome research has increased dramatically in recent years, driven by advances in technology and significant reductions in the cost of analysis. Such research has unlocked a wealth of data, which has yielded tremendous insight into the nature of the microbial communities, including their interactions and effects, both within a host and in an external environment as part of an ecological community. Understanding the role of microbiota, including their dynamic interactions with their hosts and other microbes, can enable the engineering of new diagnostic techniques and interventional strategies that can be used in a diverse spectrum of fields, spanning from ecology and agriculture to medicine and from forensics to exobiology. From June 19–23 in 2017, the NIH and NSF jointly held an Innovation Lab on Quantitative Approaches to Biomedical Data Science Challenges in our Understanding of the Microbiome. This review is inspired by some of the topics that arose as priority areas from this unique, interactive workshop. The goal of this review is to summarize the Innovation Lab’s findings by introducing the reader to emerging challenges, exciting potential, and current directions in microbiome research. The review is broken into five key topic areas: (1) interactions between microbes and the human body, (2) evolution and ecology of microbes, including the role played by the environment and microbe-microbe interactions, (3) analytical and mathematical methods currently used in microbiome research, (4) leveraging knowledge of microbial composition and interactions to develop engineering solutions, and (5) interventional approaches and engineered microbiota that may be enabled by selectively altering microbial composition. As such, this review seeks to arm the reader with a broad understanding of the priorities and challenges in microbiome research today and provide inspiration for future investigation and multi-disciplinary collaboration.
KW - gut microbiome
KW - microbial forensics
KW - microbiome ecology
KW - microbiome evolution
KW - microbiome interactions
KW - prebiotics
KW - probiotics
KW - skin microbiome
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UR - http://www.scopus.com/inward/citedby.url?scp=85081227728&partnerID=8YFLogxK
U2 - 10.3389/fmicb.2020.00136
DO - 10.3389/fmicb.2020.00136
M3 - Review article
C2 - 32140140
AN - SCOPUS:85081227728
SN - 1664-302X
VL - 11
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
M1 - 136
ER -