--- author: - contributor_roles: [] family: Edmunds given: Scott url: https://orcid.org/0000-0001-6444-1436 blog: authors: null community_id: 52db0518-e228-4260-8c54-c4e323b2569d created: 1675555200 current_feed_url: null description: Data driven blogging from the GigaScience editors doi: https://doi.org/10.59350/gigablog favicon: https://rogue-scholar.org/api/communities/52db0518-e228-4260-8c54-c4e323b2569d/logo feed_format: application/atom+xml feed_url: http://gigasciencejournal.com/blog/feed/atom/ filter: null generator: Other home_page_url: https://gigasciencejournal.com/blog issn: null language: eng license: https://creativecommons.org/licenses/by/4.0/legalcode prefix: '10.59350' relative_url: null secure: false slug: gigablog status: archived subfield: '1311' title: GigaBlog updated: null use_api: null container: GigaBlog date: '2018-08-31T00:00:00+00:00' date_updated: '2025-12-06T10:25:19+00:00' guid: http://gigasciencejournal.com/blog/?p=2469 identifier: https://doi.org/10.59350/zvk4r-9ba55 image: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-265x300.jpg images: - alt: Monkey microbiome height: '119' sizes: '(max-width: 132px) 100vw, 132px' src: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome-300x270.png srcset: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome-300x270.png, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome.png width: '132' - alt: Monkey microbiome height: '200' src: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/100064_GutMicrobiota.jpg width: '184' - height: '300' sizes: '(max-width: 265px) 100vw, 265px' src: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-265x300.jpg srcset: http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-265x300.jpg, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-768x870.jpg, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-904x1024.jpg, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque.jpg width: '265' issn: null keywords: - Biology - BGI - Genome - GigaDB - Metagenomics lang: en license: https://creativecommons.org/licenses/by/4.0/legalcode rid: kayea-g1f89 rights: https://creativecommons.org/licenses/by/4.0/legalcode summary: Monkey Microbiome Business Research just out in GigaScience introduces the macaque monkey to the microbial gene catalogue club, joining other important model organisms including the (also recently published in GigaScience) Rat, Mouse, Pig and Cow. title: Of Mice and Men (and Monkey) Microbiomes. url: https://wayback.archive-it.org/22098/2025-05-01T17:13:42Z/http://gigasciencejournal.com/blog/monkey-microbiome version: v1 --- ***Monkey Microbiome Business*** *![Monkey microbiome](http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome-300x270.png){.alignleft .wp-image-2470 loading="lazy" decoding="async" srcset="http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome-300x270.png 300w, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/monkey_microbiome.png 700w" sizes="(max-width: 132px) 100vw, 132px" width="132" height="119"}Research just [out in GigaScience](https://doi.org/10.1093/gigascience/giy100) introduces the macaque monkey to the microbial gene catalogue club, joining other important model organisms including the (also [recently published](https://doi.org/10.1093/gigascience/giy055) in GigaScience) Rat, Mouse, Pig and Cow. To explain more, in this posting we give some insight into what this data shows, and how this growing library of gut microbial genes can be used to better understand human health.* ![Monkey microbiome](http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/100064_GutMicrobiota.jpg){.alignright .size-full .wp-image-2474 loading="lazy" decoding="async" width="184" height="200"}While the famous quote that there are [10 times as many microbial cells cells in the human body as there are human cells ]{.ILfuVd .yZ8quc}has [been scaled back a bit](https://www.nature.com/news/scientists-bust-myth-that-our-bodies-have-more-bacteria-than-human-cells-1.19136), there is no doubt that in terms of numbers of genes we are massively out numbered by genes in our \"other genome\", [the microbiome](https://en.wikipedia.org/wiki/Microbiota). In 2014 our colleagues at BGI [published](https://www.nature.com/articles/nbt.2942) an integrated catalogue of reference genes in the human gut microbiome; combining 6.4TB whole-genome shotgun sequencing data from the [MetaHIT](http://dx.doi.org/10.1038/nature08821) consortium, the Human Microbiome Project ([HMP](http://www.hmpdacc.org/HMASM/)) and a [diabetes study on Chinese adults.](http://dx.doi.org/10.5524/100036) The final high-quality  reference catalogue contained 9,879,896 non-redundant genes, and to aid the sharing of this massive dataset we hosted it openly [in our GigaDB repository](http://dx.doi.org/10.5524/100064). With the aim of facilitating quantitative characterization of multi-omics data from the gut microbiome to understand its variation across populations in human health and disease, this data has been the most downloaded and popular dataset in our GigaDB repository. The tens of thousands of downloads hopefully demonstrating the utility and use of this dataset. Following this approach research groups from the Institute of Metagenomics of BGI Research have continued this work in other model organisms, [publishing](https://doi.org/10.1038/nbt.3353) and [releasing via GigaDB](http://dx.doi.org/10.5524/100114) the microbial gene [catalogue of the mouse](http://dx.doi.org/10.5524/100114) in 2015, the [pig microbial catalogue](http://dx.doi.org/10.5524/100187) in 2016, and just recently published the gene [catalogue](http://dx.doi.org/10.5524/100440) of the [Sprague-Dawley rat gut metagenome in *GigaScience*](https://doi.org/10.1093/gigascience/giy055). Our microbiome may seem complicated, but the 9.9M genes in the human gut microbiomes are outnumbered by the 13.8M genes in a the cow rumen, with data [out in GigaDB](http://dx.doi.org/10.5524/100391) earlier this year and a [preprint describing this](https://doi.org/10.1101/272690) also out. **Monkey News**\ Latest to join this microbiome club is the monkey, with a [publication just out](https://doi.org/10.1093/gigascience/giy100) in *GigaScience* describing the construction of the first *Macaca fascicularis* gut microbiome gene catalogue, and data again [out in GigaDB](http://dx.doi.org/10.5524/100470). *Macaca fascicularis*, or the [cynomolgus or [crab-eating]{.st} macaque](https://en.wikipedia.org/wiki/Crab-eating_macaque), is a primate whose genetics and physiology are close to humans, making it an important model in biomedical research and drug development. However, detailed information of cynomolgus macaque gut microbiota had not been well developed. In order to construct the cynomolgus macaque gut microbial gene catalogue and explore differences of cynomolgus macaque gut microbiome under different diet conditions, 20 cynomolgus macaques were selected and separated into two groups fed high-fat/low fibre or low-fat/high fibre diets. After three months of feeding, fecal samples were collected and sequenced using metagenomic shotgun sequencing technology. In total, 140Gb of sequencing data were generated. The researchers then constructed the first non-redundant *Macaca fascicularis* gene catalogue comprising 1,991,169 genes. By aligning against the NCBI-NR database, 65.68% of the macaque gut genes have  taxonomic annotation information, and 53.65% of the macaque gut genes could be annotated to the phylum level. At the functional level, 53.09% of the macaque gut genes can be assigned to KEGG orthologs (KOs). **Pigs and Mice and Monkey Microbiomes, Oh My!** ![](http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-265x300.jpg){.alignleft .size-medium .wp-image-2475 loading="lazy" decoding="async" srcset="http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-265x300.jpg 265w, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-768x870.jpg 768w, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque-904x1024.jpg 904w, http://gigasciencejournal.com/blog/wp-content/uploads/2018/08/macaque.jpg 1178w" sizes="(max-width: 265px) 100vw, 265px" width="265" height="300"}In order to explore the feasibility of cynomolgus macaque as an animal model for human gut microbiome research, the team compared macaque the gut bacterial gene catalogue with the human, pig and mouse catalogues that we are currently hosting in GigaDB. The results showed that 39.49% of the cynomolgus macaque gut bacterial genes were included in the human gut bacterial gene catalogue, and 25.45% of the genes were presented in the pig gut bacterial gene catalogue, whereas only 0.6% of the genes were found in the mouse gut gene catalogue. Additionally, high quality reads from each 20 faecal samples of cynomolgus macaque, pig and mouse were also mapped with the 9.9M human gut bacterial gene catalogue. More reads of cynomolgus macaque gut microbiome (39.23%) could be mapped to the human gut bacterial gene catalog compared to reads from the pig (26.98%) and mouse (16.01%). These new findings indeed show that cynomolgus macaque could become a promising model for human gut microbiome research due to its greater similarity compared with other mammals. When we asked Xiaoping Li, head of this project at the Institute of Metagenomics, BGI-Research about why they set up these efforts in cataloguing the microbial world she said: \"The established animal gut microbial gene catalogues (GMGCs) can increase our knowledge in the animal gut microbial composition and functionality. GMGCs could also serve a valuable reference and resource for researchers wishing to work with rat and monkey models in the biomedical field, as well as those in poultry industry who are interested in pigs and cows.\" With this menagerie of microbiomes already completed of where this area of research is going next, Xiaoing says: \"The gut microbial gene catalogues of human will be further updated by including metagenomic data from different ethnic groups and also bacteria isolates from faecal samples. The GMGC of chicken, one of the most commonly consumed high-protein foods, is also in our plans.\" It feels appropriate seeing this pioneering microbiome data coming from macaques, as the genome of this species was amongst the first batch of genomes [released in GigaDB](http://dx.doi.org/10.5524/100003), and was the first of our DOI\'s to get cited in a [scientific article](https://www.nature.com/articles/nbt.1992) in October 2011 (and [covered in one of our first postings in GigaBlog](http://gigasciencejournal.com/blog/gigadata-news-macaque-dois-published-in-nature-biotechnology/) then). **A catalogue of microbiome gene catalogues:** Al-Aama et al. (2014): Supporting data for the paper: \"An integrated catalog of reference genes in the human gut microbiome\". GigaScience Database. Backhed et al. (2015): A Catalogue of the Mouse Gut Metagenome. GigaScience Database. Chatelier et al. (2016): A catalogue of the pig gut microbiome GigaScience Database. Li  et al. (2018): Supporting data for \"A catalog of microbial genes from the bovine rumen reveals the determinants of herbivory\" GigaScience Database. Pan et al. (2018): A gene catalogue of the Sprague-Dawley rat gut metagenome. GigaScience Database. Li et al. (2018): Supporting data for \"Establishment of a *Macaca fascicularis* gut microbiome gene catalog and comparison with the human, pig and mouse gut microbiomes\". GigaScience Database. \*\*Further Reading\ **[1.](https://www.nature.com/articles/nbt.2942) Li J, Jia H, Cai X, Zhong H, Feng Q, Sunagawa S, Arumugam M, Kultima JR, Prifti E, Nielsen T, Juncker AS, Manichanh C, Chen B, Zhang W, Levenez F, Wang J, Xu X, Xiao L, Liang S, Zhang D, Zhang Z, Chen W, Zhao H, Al-Aama JY, Edris S, Yang H, Wang J, Hansen T, Nielsen HB, Brunak S, Kristiansen K, Guarner F, Pedersen O, Doré J, Ehrlich SD; MetaHIT Consortium, Bork P, Wang J; MetaHIT Consortium. An integrated catalog of reference genes in the human gut microbiome. Nat Biotechnol. 2014 Aug;32(8):834-41. doi: [10.1038/nbt.2942](https://www.nature.com/articles/nbt.2942).**\ \*\*[2.](https://doi.org/10.1093/gigascience/giy055) Pan H, Guo R, Zhu J, Wang Q, Ju Y, Xie Y, Zheng Y, Wang Z, Li T, Liu Z, Lu L, Li F, Tong B, Xiao L, Xu X, Li R, Yuan Z, Yang H, Wang J, Kristiansen K, Jia H, Liu L. A gene catalogue of the Sprague-Dawley rat gut metagenome. Gigascience. 2018 May 1;7(5). doi: [10.1093/gigascience/giy055](https://doi.org/10.1093/gigascience/giy055).\ [3.](https://doi.org/10.1093/gigascience/giy100) Li X, Liang S, Xia Z, Qu J, Liu H, Liu C, Yang H, Wang J, Madsen L, Hou Y, Li J, Jia H, Kristiansen K, Xiao L. Establishment of a Macaca fascicularis gut microbiome gene catalog and comparison with the human, pig and mouse gut microbiomes. *Gigascience*. 2018 Aug 18. doi: [10.1093/gigascience/giy100](https://doi.org/10.1093/gigascience/giy100). 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