EDITORIAL

Microbiome research outlook: past, present, and future

  • Yunyun Gao 1 ,
  • Danyi Li 2 ,
  • Yong-Xin Liu , 1
Expand
  • 1. Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
  • 2. R-Institute Co. Ltd., Beijing 100011, China
liuyongxin@caas.cn

Accepted date: 09 May 2023

Copyright

2023 The Author(s) 2023. Published by Oxford University Press on behalf of Higher Education Press.

Cite this article

Yunyun Gao , Danyi Li , Yong-Xin Liu . Microbiome research outlook: past, present, and future[J]. Protein & Cell, 2023 , 14(10) : 709 -712 . DOI: 10.1093/procel/pwad031

1
Chen T, Zhang H, Liu Y et al. EVenn: easy to create repeatable and editable Venn diagrams and Venn networks online. J Genet Genom 2021;48:863–866.

DOI

2
Chen T, Liu Y-X, Huang L. ImageGP: an easy-to-use data visualization web server for scientific researchers. iMeta 2022;1:e5.

DOI

3
Gao S, Wang J. Maternal and infant microbiome: next-generation indicators and targets for Perinatal Health Care. Protein Cell 2023.

DOI

4
Gao L, Xu T, Huang G et al. Oral microbiomes: more and more importance in oral cavity and whole body. Protein Cell 2018;9:488–500.

DOI

5
Gou W, Miao Z, Deng K et al. Nutri-microbiome epidemiology, an emerging field to disentangle the interplay between nutrition and microbiome for human health. Protein Cell 2023.

DOI

6
Li W, Wang L, Li X et al. Sequence-based functional metagenomics reveals novel natural diversity of functioning CopA in environmental microbiomes. Genom Proteom Bioinform 2022.

DOI

7
Liu Y-X, Qin Y, Chen T et al. A practical guide to amplicon and metagenomic analysis of microbiome data. Protein Cell 2020;12:315–330.

DOI

8
Liu Y-X, Chen T, Li D et al. iMeta: integrated meta-omics for biology and environments. iMeta 2022;1:e15.

DOI

9
Lynch SV, Ng SC, Shanahan F et al. Translating the gut microbiome: ready for the clinic? Nat Rev Gastroenterol Hepatol 2019;16:656–661.

DOI

10
Maghini DG, Moss EL, Vance SE et al. Improved high-molecular-weight DNA extraction, nanopore sequencing and metagenomic assembly from the human gut microbiome. Nat Protoc 2021;16:458–471.

DOI

11
Shi H, Yu X, Cheng G. Impact of the microbiome on mosquito-borne diseases. Protein Cell 2023.

DOI

12
Wan T, Wang Y, He K et al. Microbial sensing in the intestine. Protein Cell 2023.

DOI

13
Wang Z, Zhao Y. Gut microbiota derived metabolites in cardiovascular health and disease. Protein Cell 2018;9:416–431.

DOI

14
Wang Q, Yang Q, Liu X. The microbiota–gut–brain axis and neurodevelopmental disorders. Protein Cell 2023.

DOI

15
Wen T, Xie P, Yang S et al. ggClusterNet: an R package for microbiome network analysis and modularity-based multiple network layouts. iMeta 2022;1:e32.

DOI

16
Wen T, Niu G, Chen T et al. The best practice for microbiome analysis using R. Protein Cell 2023.

DOI

17
Wilmanski T, Diener C, Rappaport N et al. Gut microbiome pattern reflects healthy ageing and predicts survival in humans. Nat Metab 2021;3:274–286.

DOI

18
Yin R, Wang T, Dai H et al. Immunogenic molecules associated with gut bacterial cell walls: chemical structures, immune-modulating functions, and mechanisms. Protein Cell 2023.

DOI

19
Zhang J, Liu Y-X, Guo X et al. High-throughput cultivation and identification of bacteria from the plant root microbiota. Nat Protoc 2021;16:988–1012.

DOI

20
Zheng H, Zhang C, Zhang J et al. “Sentinel or accomplice”—gut microbiota and microglia cross-talk in disorders of gut-brain interaction. Protein Cell 2023.

DOI

Outlines

/