Evidence map›Paper›PMID 38912052›Full record

ArticleISME communications2024

Hackflex library preparation enables low-cost metagenomic profiling.

Samantha L Goldman, Jon G Sanders, Daniel D Sprockett, Abigail Landers, Weiwei Yan, Andrew H Moeller

Abstract read
In one paragraph

Article in ISME communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Samantha L GoldmanDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.
Jon G SandersDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.
Daniel D SprockettDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.
Abigail LandersDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.
Weiwei YanDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.
Andrew H MoellerDepartment of Ecology and Evolutionary Biology, Cornell University, 215 Tower Rd, Ithaca, NY 14850, United States.

Funding

Uncovering the modes and genetics of gut bacterial transmissionR35GM138284 · NIGMS · PRINCETON UNIVERSITY · PI Andrew Moeller · 2020 to 2026
$2.4M
Host-Microbe Interactions that Determine Host Traits and DiseaseT32AI145821 · NIAID · CORNELL UNIVERSITY · PI LAZZARO, BRIAN · 2020 to 2024
$1.9M
NIAID NIH HHS T32 AI145821NIGMS NIH HHS R35 GM138284
6 · The paper itself

Abstract

Shotgun metagenomic sequencing provides valuable insights into microbial communities, but the high cost of library preparation with standard kits and protocols is a barrier for many. New methods such as Hackflex use diluted commercially available reagents to greatly reduce library preparation costs. However, these methods have not been systematically validated for metagenomic sequencing. Here, we evaluate Hackflex performance by sequencing metagenomic libraries from known mock communities as well as mouse fecal samples prepared by Hackflex, Illumina DNA Prep, and Illumina TruSeq methods. Hackflex successfully recovered all members of the Zymo mock community, performing best for samples with DNA concentrations <1 ng/μL. Furthermore, Hackflex was able to delineate microbiota of individual inbred mice from the same breeding stock at the same mouse facility, and statistical modeling indicated that mouse ID explained a greater fraction of the variance in metagenomic composition than did library preparation method. These results show that Hackflex is suitable for generating inventories of bacterial communities through metagenomic sequencing.

Indexed as

community compositionliquid-handling robotsmicrobial ecologymicrobiomeOpentronsZymo

Identifiers

PMID38912052
PMCPMC11190725

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.