Evidence map›Paper›PMID 37023002›Full record

ArticlePloS one2023

Quantification of diversity sampling bias resulting from rice root bacterial isolation on popular and nitrogen-free culture media using 16S amplicon barcoding.

Moussa Sondo, Issa Wonni, Agnieszka Klonowska, Kadidia Koïta, Lionel Moulin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Moussa SondoPHIM Plant Health Institute, IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Issa WonniInstitut de l'Environnement et de Recherches Agricoles (INERA), Bobo-Dioulasso, Burkina Faso.
Agnieszka KlonowskaPHIM Plant Health Institute, IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Kadidia KoïtaEcole doctorale sciences et Technologie, Biologie végétale, Phytopathologie, Université Joseph Ki Zerbo, Ouagadougou, Burkina Faso.
Lionel MoulinPHIM Plant Health Institute, IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.ORCID 0000-0001-9068-6912
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversité Joseph Ki-Zerbo · BFInstitut de l'Environnement et Recherches Agricoles · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culturing bacteria from plant material is well known to be conducive to strong bias compared to the actual diversity in the original samples. This bias is related to the bacterial cultivability, chemical composition of the media and culture conditions. Recovery bias is often observed but has never been quantified on different media using an amplicon barcoding approach whereby plant microbiota DNA extractions are compared to DNA extracted from serial dilutions of the same plant tissues grown on bacterial culture media. In this study, we: i) quantified the bacterial culturing diversity bias using 16S amplicon barcode sequencing by comparing a culture-dependent approach (CDA) focused on rice roots on four commonly used bacterial media (10% and 50% TSA, plant-based medium with rice flour, nitrogen free medium NGN and NFb) versus a culture-independent approach (CIA) assessed with DNA extracted directly from root and rhizosphere samples; ii) assessed enriched and missing taxa detected on the different media; iii) used biostatistics functional predictions to highlight metabolic profiles that could potentially be enriched in the CDA and CIA. A comparative analysis of the two approaches revealed that among the 22 phyla present in microbiota of the studied rice root samples, only five were present in the CDA (Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Verrucomicrobia). The Proteobacteria phylum was the most abundant in all CDA samples, showing high gamma-Proteobacteria enrichment. The diversity of the combined culture media represented about a third of the total microbiota diversity, and its genus diversity and frequency was documented. The functional prediction tool (PICRUSt2) detected nitrogenase enzyme enrichment in bacterial taxa sampled from nitrogen-free media, thus validating its predictive capacity. Further functional predictions also showed that the CDA mostly missed anaerobic, methylotrophic, methanotrophic and photosynthetic bacteria compared to the CIA, thereby generating valuable insight that could enable the design of ad-hoc culture media and conditions to increase the rice-associated microbiota cultivability.

Indexed as

OryzaBacteriaCulture MediaNitrogenPlantsProteobacteriaRNA, Ribosomal, 16SSelection BiasSoil MicrobiologyCulture MediaNitrogenRNA, Ribosomal, 16S

Identifiers

PMID37023002
PMCPMC10079111
OpenAlexW4362657431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.