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Nat Commun January 2022 PMID 35039521

Microbiome differential abundance methods produce different results across 38 datasets.

Jacob T Nearing, Gavin M Douglas, Molly G Hayes, Jocelyn MacDonald, Dhwani K Desai, Nicole Allward, Casey M A Jones, Robyn J Wright, Akhilesh S Dhanani, André M Comeau, Morgan G I Langille

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AI synopsis

What people are saying

Discussions reflect a strong interest in the study's implications, with posts highlighting the necessity of keeping an eye on analytical methods, such as mentions of the study being published in Nature Communications and advice to microbiome researchers to understand the variability in their analyses, demonstrating both engagement and perceived impact.

AgreementModerate agreement

Most discussions acknowledge the study's findings about differential results across analysis methods, showing general consensus.

InterestHigh interest

Posts demonstrate high interest by emphasizing the importance of the study for microbiome research and analytical consistency.

EngagementModerate engagement

Comments include references to methodological concerns, implications for future research, and specific examples, indicating thoughtful engagement.

ImpactModerate impact

Discussions suggest that the paper is seen as an important contribution, raising awareness of variability in analysis techniques and their consequences.

Abstract in brief

  • Multiple methods exist for identifying differentially abundant microbes in microbiome studies, but few large-scale comparisons of their effectiveness have been conducted.
  • The study evaluates 14 differential abundance testing methods across 38 datasets and finds significant discrepancies in the number and type of significant amplicon sequence variants (ASVs) identified, influenced by data pre-processing and factors like sample size and sequencing depth.
  • ALDEx2 and ANCOM-II are highlighted as consistently reliable methods; however, using a combination of multiple approaches is recommended for more robust biological interpretations.
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Javier del Campo
@fonamental · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 26, 2022 · 114 likes · 37 shares · 4,361 followers View post →
sabine hazan md
@SabinehazanMD · X

Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.co/A7A8Ztue8X

Jan 20, 2022 · 38 likes · 7 shares · 203,161 followers View post →
Pon｜食と健康
@PonNutr · X

#論文紹介 腸内細菌の分析方法を比較したかなり力の入った論文がNature Communから発表されました。 https://t.co/Ak0VImZnkH

Jan 21, 2022 · 31 likes · 2,612 followers View post →
Miss_Salmonella
@Miss_Salmonella · X

#Microbiome differential abundance methods produce different results across 38 datasets https://t.co/NlgjP3hZxx

Mar 10, 2023 · 14 likes · 3 shares · 11,373 followers View post →
Huiluo Cao 曹慧荦
@hlcao · X

Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.co/56D01xtquA

Jan 18, 2022 · 4 likes · 1 share · 2,824 followers View post →
Heidi Makrinioti
@HMakrinioti · X

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Yasuhisa Nagasaki＠NERON, RIKEN
@Neron_Ngsk32 · X

RT @yasuhisanagasa1: Microbiome differential abundance methods produce different results across 38 datasets　https://t.co/UqbmNwJhJR

Jul 1, 2024 · 1 share · 4,816 followers View post →
yasuhisa nagasaki
@yasuhisanagasa1 · X

Microbiome differential abundance methods produce different results across 38 datasets　https://t.co/UqbmNwJhJR

Jul 1, 2024 · 1 like · 1 share · 59 followers View post →
Marcos Matabuena
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RT @HMakrinioti:

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May 26, 2024 · 3 likes · 1 share · 414 followers View post →
fghp
@david464 · X

RT @Miss_Salmonella: #Microbiome differential abundance methods produce different results across 38 datasets https://t.co/NlgjP3hZxx

Mar 10, 2023 · 3 shares · 158 followers View post →
Javier Campanini-Salinas
@XavierCampanini · X

RT @Miss_Salmonella: #Microbiome differential abundance methods produce different results across 38 datasets https://t.co/NlgjP3hZxx

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Rafa Vázquez #SinCienciaNoHayFuturo
@monkeyplatillos · X

RT @Miss_Salmonella: #Microbiome differential abundance methods produce different results across 38 datasets https://t.co/NlgjP3hZxx

Mar 10, 2023 · 3 shares · 1,546 followers View post →
Miss_Salmonella
@Miss_Salmonella · X

#Microbiome differential abundance methods produce different results across 38 datasets https://t.co/NlgjP3hZxx

Mar 10, 2023 · 14 likes · 3 shares · 11,373 followers View post →
Yasuhisa Nagasaki＠NERON, RIKEN
@Neron_Ngsk32 · X

RT @yasuhisanagasa1: 【論文】38のデータセットにおいて、微生物の存在量の違いを利用した手法が異なる結果をもたらす　Microbiome differential abundance methods produce different results acr…

Jun 5, 2022 · 1 share · 4,816 followers View post →
Tallita Tavares (she/her)
@TallitaTavares · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/IcVtMjZZh4

Jun 4, 2022 · 147 followers View post →
Stovetops
@CheshireScat528 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Apr 23, 2022 · 52 shares · 106 followers View post →
Doaa Megahed
@DouaaMugahid · X

Microbiome differential abundance methods produce different results across 38 datasets. Not surprising, eh? But someone had to show it. https://t.co/MzJTRdUs4u

Feb 20, 2022 · 94 followers View post →
Bioinfhotep
@pp0196 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Feb 11, 2022 · 52 shares · 1,192 followers View post →
yasuhisa nagasaki
@yasuhisanagasa1 · X

【論文】38のデータセットにおいて、微生物の存在量の違いを利用した手法が異なる結果をもたらす　Microbiome differential abundance methods produce different results across 38 datasets　https://t.co/UqbmNwJhJR

Feb 10, 2022 · 1 like · 1 share · 59 followers View post →
Edna Chiang, PhD (ednachiang.bsky.social)
@EdnaChiang · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

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Miguel Semedo
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 30, 2022 · 37 shares · 208 followers View post →
Rocio J Alcantara-Hernandez
@Ro_Bacteria · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 30, 2022 · 37 shares · 109 followers View post →
Elliot Jackson
@ewaltjackson · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 322 followers View post →
Daniel Sher
@MCE_lab · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Felipe Morillo
@morillo_fe · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 752 followers View post →
Junhui Li
@_JunhuiLi · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 254 followers View post →
Susan Joseph
@susanj13 · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 587 followers View post →
Vivek Mutalik
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 5,175 followers View post →
Patricia Del Portill
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 145 followers View post →
Marlow (he/they)
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Eduardo Batista
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 365 followers View post →
PlantomicsLab
@plantomics · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 394 followers View post →
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 2,755 followers View post →
Ferry Hagen
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 2,870 followers View post →
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@jessepharrison · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 28, 2022 · 37 shares · 265 followers View post →
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Fabi Pulido-Chavez
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RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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NanoGeoBio
@NanoGeoBio · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 326 followers View post →
Gustavo A. Ramírez
@zombiephylotype · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Ozzie
@ozzy_ek · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Helen Glanville
@Dr_H_Glanville · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 629 followers View post →
Simanga kaZondumbuzo Mchunu
@Simacoder · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Ariel Petchel
@marineviruslove · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 78 followers View post →
Zelalem
@Vironaut1 · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 178 followers View post →
Geoffroy Mallaret
@MallaretG · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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সোহিনী গুহ I Sohini Guha
@Guha2Sohini · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

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Víctor Hugo Jarquín-Díaz
@vhjarquind · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 293 followers View post →
Mike Jetten
@msmjetten · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 6,720 followers View post →
elaina graham
@perilousUnknown · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 534 followers View post →
Saubashya Sur, PhD
@SaubashyaSur · X

RT @fonamental: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 27, 2022 · 37 shares · 767 followers View post →
Javier del Campo
@fonamental · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/J9lbogfMMj

Jan 26, 2022 · 114 likes · 37 shares · 4,361 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/2rpENG2vAc

Jan 24, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/LliYMPmbqX

Jan 24, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/7gy9O0Ft8c

Jan 24, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/JlfF1cx5Qy

Jan 24, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/iOjvYDmNmj

Jan 23, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/KXto59MGxT

Jan 23, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/6IR0GeXj1o

Jan 23, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/wq0qnDXMB7

Jan 23, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/rt5NOZp7fo

Jan 22, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/M3Qs7Iqt3N

Jan 22, 2022 · 333 followers View post →
Pon｜食と健康
@PonNutr · X

#論文紹介 腸内細菌の分析方法を比較したかなり力の入った論文がNature Communから発表されました。 https://t.co/Ak0VImZnkH

Jan 21, 2022 · 31 likes · 2,612 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/38kVkHFUT2

Jan 21, 2022 · 333 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/SuYrJTDt5I

Jan 21, 2022 · 333 followers View post →
Atoms&Molecules
@Michael37823933 · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

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TongZhou
@TongZhou2017 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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Smallthrottledaccount
@tiossinob · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

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Marek Bogacki
@documentavi · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

Jan 20, 2022 · 7 shares · 1,411 followers View post →
MΛRCOS COLEBROOK
@MColebrook · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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Søren Hallstrøm
@SorenHallstrom · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 20, 2022 · 52 shares · 53 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/K794OKpJFk

Jan 20, 2022 · 333 followers View post →
Nina GY
@NinagyCyf · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

Jan 20, 2022 · 7 shares · 1,485 followers View post →
Maples the Syrup Frog
@Maples46014332 · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

Jan 20, 2022 · 7 shares · 2,802 followers View post →
Eduardo Dorrance
@JustEduardoD · X

RT @SabinehazanMD: Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome diff…

Jan 20, 2022 · 7 shares · 2,061 followers View post →
sabine hazan md
@SabinehazanMD · X

Anyone in the microbiome space needs to understand ONE THING “ reach a cure understand the microbiome “. Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.co/A7A8Ztue8X

Jan 20, 2022 · 38 likes · 7 shares · 203,161 followers View post →
Erh-Min Lai
@erhminlai · X

RT @hlcao: Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.co/56D0…

Jan 19, 2022 · 1 share · 687 followers View post →
Jennifer Schmidt
@jenschmidtsci · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 19, 2022 · 52 shares · 608 followers View post →
Kamal Khadka
@Kamal_UoG · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 19, 2022 · 52 shares · 871 followers View post →
Kevin R. Cope
@KevinCope18 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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@VivianAya93 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 19, 2022 · 52 shares · 133 followers View post →
Nisha Mathew
@_NishaMathew · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

Jan 19, 2022 · 59 shares · 67 followers View post →
Cláudio Duarte-Oliveira
@Duarte__Oliv · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

Jan 19, 2022 · 59 shares · 464 followers View post →
micropapers
@micro_papers · X

Microbiome differential abundance methods produce different results across 38 datasets https://t.co/ccBV8DBBid

Jan 19, 2022 · 333 followers View post →
Saubashya Sur, PhD
@SaubashyaSur · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 19, 2022 · 52 shares · 767 followers View post →
Andrew Severin
@isugif · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 18, 2022 · 52 shares · 1,915 followers View post →
Huiluo Cao 曹慧荦
@hlcao · X

Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.co/56D01xtquA

Jan 18, 2022 · 4 likes · 1 share · 2,824 followers View post →
Sean Simmons
@seankenneths · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

Jan 18, 2022 · 59 shares · 702 followers View post →
Riyue Sunny Bao, PhD
@RiyueSunnyBao · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

Jan 18, 2022 · 59 shares · 2,549 followers View post →
NowickiLab
@LabNowicki · X

RT @jsantoyo: Microbiome differential abundance methods produce different results across 38 datasets. #Microbiome #DifferentiallyAbundantMi…

Jan 18, 2022 · 2 shares · 489 followers View post →
Dr. د. عبدالواحد الزهراني
@ralzahrani2020 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 18, 2022 · 52 shares · 4,143 followers View post →
Sandra Muxel
@SandraMuxel · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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Alberto Orta
@AlbertoOrta19 · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

Jan 18, 2022 · 52 shares · 286 followers View post →
C. 'Harris' Floudas
@chfloudas · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

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@swaminap · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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Rebecca
@LohKRebecca · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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UNC Microbiome Core
@MicrobiomeUNC · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

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@3DiMMUNE · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

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Michelle Wille
@DuckSwabber · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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@MicrobialMaria · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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@Lii_Botero · X

RT @strnr: Microbiome differential abundance methods produce different results across 38 datasets https://t.co/OZxcqltIJT https://t.co/j4zI…

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Mirjam Bloemendaal
@mirjam_bloem · X

RT @CThoeringer: Microbiome differential abundance methods produce different results across 38 datasets | Nature Communications https://t.c…

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Chris Rinke
@ChristianRinke · X

Link to the paper: "Microbiome differential abundance methods produce different results across 38 datasets" https://t.co/ZXEP2QR3d1

Jan 18, 2022 · 1,832 followers View post →
Chris Rinke
@ChristianRinke · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

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Jiqiu Wu 吴季秋
@JiqiuWu · X

RT @ktguzz: Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome dif…

Jan 18, 2022 · 59 shares · 347 followers View post →
Katie Guzzetta
@ktguzz.bsky.social · Bluesky

Not a huge shocker here, but definitely something to keep an eye on when considering #GutMicrobiome analysis... "Microbiome differential abundance methods produce different results across 38 datasets" https://www.nature.com/articles/s41467-022-28034-z

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