poopomics

The Microbiome Metadata Crisis Consortium: 450+ members

UC San DiegoNorthwesternJohns HopkinsDukeHarvardYaleColumbiaNew York UniversityUCLAMichiganVirginiaIllinois Urbana-ChampaignArizona StateDartmouthBaylorFlorida InternationalHarvey MuddSoonchunhyangEast Jefferson General Hospital

A large-scale citizen science effort

450undergraduates, grads, postdocs & professors
19institutions
3main projects
8undergraduate-led subprojects
1publication
2preprints
2submissions under review

See the People page

News

Publications

PhD Program Acceptances!

  • Zoey Hall

    Zoey Hall — Epidemiology, UNC Chapel Hill

    Accepted to the PhD programme in epidemiology.

  • Luis Xu

    Luis Xu — Bioinformatics, UC San Diego

    Accepted to the bioinformatics PhD programme.

Masters Program Acceptances!

  • Kaiyuan Du

    Kaiyuan Du — ScM in Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health

    Graduated from Johns Hopkins as an undergraduate in May 2026 and starts the ScM programme this autumn.

  • Randima Bellana

    Randima Bellana — MSE in Computer Science, Johns Hopkins University

    Accepted to the residential master's programme.

  • Tyra Gravesande

    Tyra Gravesande — MSPH in Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health

    Accepted to the master's programme.

  • Saleem Sabeer

    Saleem Sabeer — Applied Science in Computer Science (MSc), University of Pennsylvania

    Accepted to the master's programme.

  • Xaolin (Diego) Wang

    Xaolin (Diego) Wang — MPhil in Finance and Economics, University of Cambridge

    Accepted to the MPhil programme.

Medical School Acceptances!

  • Emily Kelleher
    2026

    Emily Kelleher — University of Northern Colorado

    Accepted to the programme.

  • Sadaf Moradi
    2024

    Sadaf Moradi — Washington University School of Medicine

    Accepted to medical school.

Conferences

  • 5 June 2026

    Analysis of Transnational and Cross-Continental Collaboration Trends in Microbiome Papers

    ASM Microbe 2026, Washington DC · poster HEALTH-FRI-329

    Ariadne García Reyes presented the MMC collaboration work — how often microbiome research crosses borders, and which countries are left out of it. With Vudatha, Kisselev, Kobobel, Degregori and Knight.

People

Sam Degregori
Sam DegregoriDirectorPostdoctoral fellow, UC San Diego
Katherine Amato
Katherine AmatoAdvisorAssociate professor, Northwestern University
Rob Knight
Rob KnightAdvisorProfessor, UC San Diego

Project leads

Isabella HuangProject manager
Lynn Fetcinko
Ariadne García Reyes
David Kobobel
Harrison Gu
Bree Xie
Soumya Khadye
Kevin Wu
Vanessa Yang
Malleeka Suy
Emily Song
Harrison Martel
Dmitry Kisselev
Chloé Légé
Noah Schulhof
Akhil Kommala

GMToL interns

Xaolin (Diego) Wang
Sophia Jukovich
Hebe Chen
Emma Smith
Kota Suzuki
Erica Hong
Emily Kelleher
Zoey Hall
Jack Ryzman
Nour Touqatqa

HMToL interns

Luis Xu
Ananya Krishnan
Eric Gan
Maggie Ma
Jake Castillo
Joy Qui
Ritvik Chand
Siddarth Sivalanka
Mariya Alsaiari
Saanvi Gireesh
Emanoel Agbayani

MMC interns

Jake A
Tomisin Adebari
Aniqa Ahmed
Ben Alfinito
Jack Anderson
Blessing Anyangwe
Fnu Babita
Maya Balakumaran
Efe Mert Balkanli
Chaya S Bangalore
Randima Bellana
Jeffrey Bohrer
Melody Borg
Alisa Bryantseva
Sidhaarth Bulusu
Rohan Butani
Solana Callaway
Kaicheng Cao
Victor Ceballos
Stephanie Chang
Kriti Chauhan
Dingjun Chen
Alex Chen
Monalia Sadia Rahman Chowdhury
Weil Chu
Trisha D
Afolake Dairo
Laya Devulapalli
Arnav Dhole
Odia Diallo
Kaiyuan Du
Jack Elder
Eve
Suya Fang
Rachel Fernandes
Andre Fortes
Claudio Franc
Nathalia Franco
Bansal Gandhi
Aryan Gautam
Írena Héðinsdóttir Gonzalez
Elijah Gordon
Tyra Gravesande
Yueyi Guan
Ariana Hampton
Vyasa Hari
Kai Henrikson-Brandt
David Hong
Max Hong
Zaima Hossain
Annie Huang
Qihong Huang
Emily Hung
Daniel Hutcherson
Nidhi Iyengar
Unnati Jain
Keshav Jha
Amelia Joseph
Sreyas Kanaparti
Ishanvi Karthikeyan
Ashar Keeys
Avnish Khandeshi
Akshita Kikkuru
Kirsha
Belgin Kozanoğlu
Aditi Lagad
Shloka Lakka
Sonija Lam
Emily Lam
Seoyeong Lee
Yoonseo Lee
Luz Letona
Alan Li
Felix Liang
Weili Lu
Lia Lucas
Zinia Mahabub
Sahithi Malleboyina
Ammar Mandviwalla
Aryan Masaldan
Jeffrey Mathew
Julia Messing
Micah
Akshaya Mohan
Julia Moosikasuwan
Sadaf Moradi
Saketh Nallapaty
Alex Nath
Calis Nguyen
Truc Nguyen
Khanh Nguyen
Noah O'Connor
Aarushi Pandey
Dev Patel
Vedant Patel
Anjali Phadnis
Anoushka Prabhu
Mike Qiu
rama
Nicolas Rodrigo
Giacomo Rossi
Aditya S
Saleem Sabeer
Robert Sallash
Karishmaa Sampath
Paul Sandhu
Simriya Sandhu
Michael Schweitzer
Iman Sharif
King Shi
Nadine Shill
Camille Sicat
Cynthia Sofia
Lindy Stadtlander
Alexandra Streaker
Serena Strode
Ana-Laura Tamez
Sarah Tan
Ellen Tang
Sarah Tasnim
Zihan Tian
Khue Tran
Kian Vargo
Sneha Verma
Anjali Vinodh
Ritvik Vudatha
Christian Walter
Rex Wang
Derek Wang
Christine Wong
Christine Woo
AMY XIA
Victoria Xu
Nicolas Zepeda
David Zhao
温博栋
 
 
 
 
 
 
 
 
 
 

Institutions

UC San DiegoNorthwesternJohns HopkinsDukeHarvardYaleColumbiaNew York UniversityUCLAMichiganVirginiaIllinois Urbana-ChampaignArizona StateDartmouthBaylorFlorida InternationalHarvey MuddSoonchunhyangEast Jefferson General Hospital

MMC Consortium

  • Jake A
  • Gail Ackermann
  • Tomisin Adebari
  • Emanoel Agbayani
  • Aniqa Ahmed
  • Ben Alfinito
  • Celeste Allaband
  • Mariya Alsaiari
  • Katherine Amato
  • Madison Ambre
  • Jack Anderson
  • Blessing Anyangwe
  • Fnu Babita
  • Maya Balakumaran
  • Efe Mert Balkanli
  • Chaya S Bangalore
  • Randima Bellana
  • Amanda Birmingham
  • Jeffrey Bohrer
  • Melody Borg
  • Alisa Bryantseva
  • Sidhaarth Bulusu
  • Rohan Butani
  • Solana Callaway
  • Kaicheng Cao
  • Jake Castillo
  • Victor Ceballos
  • Ritvik Chand
  • Stephanie Chang
  • Kriti Chauhan
  • Hebe Chen
  • Dingjun Chen
  • Alex Chen
  • Monalia Sadia Rahman Chowdhury
  • Weil Chu
  • Trisha D
  • Afolake Dairo
  • Sam Degregori
  • Laya Devulapalli
  • Arnav Dhole
  • Odia Diallo
  • Pieter C. Dorrestein
  • Kaiyuan Du
  • Jack Elder
  • Emiley A. Eloe-Fadrosh
  • Eve
  • Suya Fang
  • Rachel Fernandes
  • Lynn Fetcinko
  • Andre Fortes
  • Claudio Franc
  • Nathalia Franco
  • Eric Gan
  • Bansal Gandhi
  • Aryan Gautam
  • Jack Gilbert
  • Saanvi Gireesh
  • Írena Héðinsdóttir Gonzalez
  • Antonio González
  • Elijah Gordon
  • Tyra Gravesande
  • Harrison Gu
  • Yueyi Guan
  • Zoey Hall
  • Ariana Hampton
  • Vyasa Hari
  • Kai Henrikson-Brandt
  • Erica Hong
  • David Hong
  • Max Hong
  • Zaima Hossain
  • Isabella Huang
  • Annie Huang
  • Qihong Huang
  • Emily Hung
  • Daniel Hutcherson
  • Michael Iter
  • Nidhi Iyengar
  • Unnati Jain
  • Keshav Jha
  • Amelia Joseph
  • Sophia Jukovich
  • Sreyas Kanaparti
  • Ishanvi Karthikeyan
  • Ashar Keeys
  • Emily Kelleher
  • Julia Kelliher
  • Soumya Khadye
  • Avnish Khandeshi
  • Akshita Kikkuru
  • Jonathan Kirkland
  • Kirsha
  • Dmitry Kisselev
  • Rob Knight
  • David Kobobel
  • Akhil Kommala
  • Belgin Kozanoğlu
  • Ananya Krishnan
  • Aditi Lagad
  • Shloka Lakka
  • Sonija Lam
  • Emily Lam
  • Seoyeong Lee
  • Yoonseo Lee
  • Luz Letona
  • Yangxi Li
  • Alan Li
  • Felix Liang
  • Weili Lu
  • Lia Lucas
  • Chloé Légé
  • Maggie Ma
  • Zinia Mahabub
  • Sahithi Malleboyina
  • Ammar Mandviwalla
  • Harrison Martel
  • Aryan Masaldan
  • Jeffrey Mathew
  • Daniel McDonald
  • Julia Messing
  • Saurabh Methta
  • Micah
  • Akshaya Mohan
  • Julia Moosikasuwan
  • Sadaf Moradi
  • Christopher J. Mungall
  • Saketh Nallapaty
  • Alex Nath
  • Khanh Nguyen
  • Calis Nguyen
  • Truc Nguyen
  • Noah O'Connor
  • Aarushi Pandey
  • Lucas Patel
  • Dev Patel
  • Vedant Patel
  • Anjali Phadnis
  • Anoushka Prabhu
  • Mohak Prakash
  • Mike Qiu
  • Joy Qui
  • rama
  • Ariadne García Reyes
  • Nicolas Rodrigo
  • Giacomo Rossi
  • Jack Ryzman
  • Aditya S
  • Saleem Sabeer
  • Robert Sallash
  • Karishmaa Sampath
  • Paul Sandhu
  • Simriya Sandhu
  • Noah Schulhof
  • Michael Schweitzer
  • Iman Sharif
  • King Shi
  • Nadine Shill
  • Camille Sicat
  • Aditya Sinha
  • Siddarth Sivalanka
  • Emma Smith
  • Cynthia Sofia
  • Emily Song
  • Lindy Stadtlander
  • Alexandra Streaker
  • Serena Strode
  • Malleeka Suy
  • Kota Suzuki
  • Taichi A. Suzuki
  • Ana-Laura Tamez
  • Sarah Tan
  • Ellen Tang
  • Sarah Tasnim
  • Zihan Tian
  • Nour Touqatqa
  • Khue Tran
  • Kian Vargo
  • Eduard Flores Ventura
  • Sneha Verma
  • Anjali Vinodh
  • Ritvik Vudatha
  • Christian Walter
  • Xaolin (Diego) Wang
  • Rex Wang
  • Derek Wang
  • Yuhan Weng
  • Christine Wong
  • Christine Woo
  • Sterling Wright
  • Kevin Wu
  • AMY XIA
  • Bree Xie
  • Luis Xu
  • Victoria Xu
  • Vanessa Yang
  • Nicolas Zepeda
  • Jianshu Zhao
  • David Zhao
  • 温博栋

The Gut Microbiome Tree of Life

The Gut Microbiome Tree of Life visualized across multi-dimensional space

Principal coordinates analysis coloured by host class
Unweighted UniFrac ordination of the whole dataset, coloured by host class, with marginal densities for the dominant phyla. Mammals occupy one end of PC1 and insects the other, with birds, fishes, reptiles and amphibians filling the space between. Manuscript Fig. 3A
Host phylogeny

Composition across the host tree

Circular time-calibrated host phylogeny with stacked bacterial phylum bars
Samples merged by host species (n=828, matched to NCBI). Stacked bars at the tips give the relative abundance of the major bacterial phyla; the host phylogeny is time-calibrated. Manuscript Fig. 2A
Diversity

How diversity varies across host classes

Diversity boxplots across host classes under a host phylogeny
Faith's phylogenetic diversity and Shannon diversity per host class, under the time-calibrated host phylogeny. Chordates carry the highest diversity on average — with exceptions. Manuscript Fig. 3C

Papers

Microbiome Metadata Crisis Study OverviewFully editable Inkscape-safe vector SVG. Hide or delete preview background for transparent export.MICROBIOMEMETADATACRISISMMCCATALOGUEIDENTIFIED ARTICLESFILTERED USINGPUBMED BEST-MATCHFOCUSED ONHUMAN HEALTHMETADATA VARIABLESRECORDEDTOTAL DATAENTRIESCURATED BY THEMMC CONSORTIUM33,564articles3,300articles3,145articles related tohuman health70different variablescaptured per article143,220total data entries300professors, postdocs,graduate, andundergraduatestudentsMicrobiome Metadata Crisis Study Overview
From 33,564 candidate articles down to 3,300 after filtering and the 3,145 human-health studies read in full, with roughly 70 variables recorded per article — 143,220 data entries, curated by a consortium of about 300 professors, postdocs, graduate and undergraduate students.
Reusability

3,145 clinical human microbiome studies that we meticulously surveyed, shown at the sample level

2026-08-31T22:30:17.330742 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ Tier 1 · 3.9% 39,782 samples Tier 2 · 7.6% 77,093 samples Tier 3 · 19.6% 198,987 samples Tier 4 · 68.8% 697,260 samples 896,247 samples lost to lack of metadata — 88% 116,875 of 1,013,122 samples reusable — 11.5%
One square is about 320 samples, banded by the reusability tier of the study they came from. Tier 1 carries biological annotation in the repository itself; Tier 2 has sample names informative enough to recover the biology; Tier 3 has unique sample IDs but no biology; Tier 4 cannot be reused at all. Only Tiers 1 and 2 support reuse without going back to the manuscript — 116,875 samples of 1,013,122, or 11.5%. The other 896,247 are lost to missing metadata.
Over time

Volume climbs; reusability does not follow

2026-08-31T22:30:17.489067 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 year of publication 0 50 100 150 200 250 300 350 studies reviewed Tier 1 — repository biological annotation Tier 2 — informative sample names Tier 3 — unique sample IDs, no biology Tier 4 — not reusable
Studies reviewed per year, stacked by reusability tier. 2025 is a partial year — the review closed mid-year. Computed from the earlier export of 2,046 studies, which is why the bars total less than the 3,145 above.
Method

16S is still how most of the literature was sequenced

2026-08-31T22:30:17.516777 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 2012 2014 2016 2018 2020 2022 2024 year of publication 0 20 40 60 80 100 share of studies (%) 16S Shotgun Both
Share of studies per year by sequencing approach, among the 2,045 studies of the earlier export where it was recorded.

Papers

Led by the MMC Consortium

Sam Degregori
Katherine Amato
Rob Knight
Isabella Huang
Lynn Fetcinko
Ariadne García Reyes
David Kobobel
Harrison Gu
Bree Xie
Soumya Khadye
Kevin Wu
Vanessa Yang
Malleeka Suy
Emily Song
Harrison Martel
Dmitry Kisselev
Chloé Légé
Noah Schulhof
Akhil Kommala
Jake A
Tomisin Adebari
Aniqa Ahmed
Ben Alfinito
Jack Anderson
Blessing Anyangwe
Fnu Babita
Maya Balakumaran
Efe Mert Balkanli
Chaya S Bangalore
Randima Bellana
Jeffrey Bohrer
Melody Borg
Alisa Bryantseva
Sidhaarth Bulusu
Rohan Butani
Solana Callaway
Kaicheng Cao
Victor Ceballos
Stephanie Chang
Kriti Chauhan
Dingjun Chen
Alex Chen
Monalia Sadia Rahman Chowdhury
Weil Chu
Trisha D
Afolake Dairo
Laya Devulapalli
Arnav Dhole
Odia Diallo
Kaiyuan Du
Jack Elder
Eve
Suya Fang
Rachel Fernandes
Andre Fortes
Claudio Franc
Nathalia Franco
Bansal Gandhi
Aryan Gautam
Írena Héðinsdóttir Gonzalez
Elijah Gordon
Tyra Gravesande
Yueyi Guan
Ariana Hampton
Vyasa Hari
Kai Henrikson-Brandt
David Hong
Max Hong
Zaima Hossain
Annie Huang
Qihong Huang
Emily Hung
Daniel Hutcherson
Nidhi Iyengar
Unnati Jain
Keshav Jha
Amelia Joseph
Sreyas Kanaparti
Ishanvi Karthikeyan
Ashar Keeys
Avnish Khandeshi
Akshita Kikkuru
Kirsha
Belgin Kozanoğlu
Aditi Lagad
Shloka Lakka
Sonija Lam
Emily Lam
Seoyeong Lee
Yoonseo Lee
Luz Letona
Alan Li
Felix Liang
Weili Lu
Lia Lucas
Zinia Mahabub
Sahithi Malleboyina
Ammar Mandviwalla
Aryan Masaldan
Jeffrey Mathew
Julia Messing
Micah
Akshaya Mohan
Julia Moosikasuwan
Sadaf Moradi
Saketh Nallapaty
Alex Nath
Calis Nguyen
Truc Nguyen
Khanh Nguyen
Noah O'Connor
Aarushi Pandey
Dev Patel
Vedant Patel
Anjali Phadnis
Anoushka Prabhu
Mike Qiu
rama
Nicolas Rodrigo
Giacomo Rossi
Aditya S
Saleem Sabeer
Robert Sallash
Karishmaa Sampath
Paul Sandhu
Simriya Sandhu
Michael Schweitzer
Iman Sharif
King Shi
Nadine Shill
Camille Sicat
Cynthia Sofia
Lindy Stadtlander
Alexandra Streaker
Serena Strode
Ana-Laura Tamez
Sarah Tan
Ellen Tang
Sarah Tasnim
Zihan Tian
Khue Tran
Kian Vargo
Sneha Verma
Anjali Vinodh
Ritvik Vudatha
Christian Walter
Rex Wang
Derek Wang
Christine Wong
Christine Woo
AMY XIA
Victoria Xu
Nicolas Zepeda
David Zhao
温博栋
 
 
 
 
 
 
 
 
 
 

The Human Microbiome Tree of Life

European and North American subjects still dominate the human gut microbiome literature. HMToL is the human-focused successor to GMToL: 16,956 gut microbiomes drawn from public data spanning 124 studies and 70 countries, harmonised onto one phylogeny so that geography, development and age can be compared without the study-to-study noise that usually swamps them.

Summary

What has been collected, and from where

2026-08-29T17:16:46.361037 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 1 0 0 studies contributed · grey = not reached
Studies contributed per country across the whole collection — 124 studies from 70 countries. The scale is logarithmic because a handful of countries contribute several studies each while most contribute one. Countries in grey are ones the collection has not reached.
Succession

Genus trajectories across the lifespan

2026-08-29T17:16:46.701500 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 1 0 4 1 0 3 1 0 2 rel. abundance Lachnospira 1 0 4 1 0 3 Dysosmobacter 0 20 40 60 80 age (years) 1 0 4 1 0 3 1 0 2 rel. abundance Faecousia 0 20 40 60 80 age (years) 1 0 4 1 0 3 1 0 2 Alistipes_A Africa Asia Europe North America South America
Relative abundance of four genera against age, one line per continent, log scale. Age bins with fewer than eight samples are dropped, so some continents stop early.
Westernization

Distance from the industrialised gut

2026-08-29T17:16:46.482526 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 0.60 0.62 0.64 0.66 mean UniFrac to the Global-North reference
Adult samples only, 26 countries. Colour is mean unweighted UniFrac distance to a Global-North reference set — darker means farther.
HDI gradient

That distance tracks development, not age

2026-08-29T17:16:46.522724 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ 0.4 0.5 0.6 0.7 0.8 0.9 country HDI 0.58 0.60 0.62 0.64 0.66 0.68 westernization distance Spearman ρ = -0.52, p = 6.2e-03 France Japan Netherlands Sweden Global South Global North
Each point is a country. The gradient holds against the Human Development Index and, unlike between-country spread, survives restricting the data to adults.
Core microbiome

There is barely a global core microbiome

2026-08-29T17:16:46.793156 image/svg+xml Matplotlib v3.10.8, https://matplotlib.org/ Africa Asia Australia Europe North America South America 0 10 20 30 40 50 60 70 80 taxa present in ≥50% of samples dashed line: only 5 shared by all six Africa Asia Australia Europe North America South America Streptococcus thermophilus Gemmiger_A_73129 Collinsella sp000434535 Escherichia Faecalibacterium duncaniae 0.4 0.5 0.6 0.7 0.8 0.9 1.0 prevalence
Left: taxa present in at least half the samples of each continent, out of 14,461 features. North America has 66; Australia has 11. Right: the five taxa that clear that bar on every continent. The imbalance is partly biology and partly how unevenly the world has been sampled.

Papers

  • A dataset paper is in preparation
    No preprint yet — nothing to link
Status. HMToL is unpublished. The ordination, the maps and the trajectories above are real HMToL results; the tree component's two ring encodings are placeholder values carried over from the report prototype it came from, kept only to show the interaction.