Evidence map›Paper›PMID 34734290›Full record

ArticleJournal of insect science (Online)2021

Dry and Rainy Seasons Significantly Alter the Gut Microbiome Composition and Reveal a Key Enterococcus sp. (Lactobacillales: Enterococcaceae) Core Component in Spodoptera frugiperda (Lepidoptera: Noctuidae) Corn Strain From Northwestern Colombia.

Marlon Felipe Higuita Palacio, Olga I Montoya, Clara I Saldamando, Erika García-Bonilla, Howard Junca, Gloria E Cadavid-Restrepo, Claudia Ximena Moreno-Herrera

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Marlon Felipe Higuita PalacioGrupo de Microbiodiversidad y Bioprospección, Facultad de Ciencias, Laboratorio de Biología Celular y Molecular, Universidad Nacional de Colombia Sede Medellín, Calle 59 A No. 63-20, 050003 Medellín, Colombia.
Olga I MontoyaGrupo de Microbiodiversidad y Bioprospección, Facultad de Ciencias, Laboratorio de Biología Celular y Molecular, Universidad Nacional de Colombia Sede Medellín, Calle 59 A No. 63-20, 050003 Medellín, Colombia.
Clara I SaldamandoGrupo de Biotecnología Vegetal UNALMED-CIB, Facultad de Ciencias, Universidad Nacional de Colombia Sede Medellín, Calle 59A No. 63-20, Medellín, Colombia.ORCID 0000-0001-9368-8200
Erika García-BonillaRG Microbial Ecology: Metabolism, Genomics & Evolution, Division of Ecogenomics & Holobionts, Microbiomas Foundation, LT11A, 250008 Chía, Colombia.
Howard JuncaRG Microbial Ecology: Metabolism, Genomics & Evolution, Division of Ecogenomics & Holobionts, Microbiomas Foundation, LT11A, 250008 Chía, Colombia.ORCID 0000-0003-4546-6229
Gloria E Cadavid-RestrepoGrupo de Microbiodiversidad y Bioprospección, Facultad de Ciencias, Laboratorio de Biología Celular y Molecular, Universidad Nacional de Colombia Sede Medellín, Calle 59 A No. 63-20, 050003 Medellín, Colombia.
Claudia Ximena Moreno-HerreraGrupo de Microbiodiversidad y Bioprospección, Facultad de Ciencias, Laboratorio de Biología Celular y Molecular, Universidad Nacional de Colombia Sede Medellín, Calle 59 A No. 63-20, 050003 Medellín, Colombia.ORCID 0000-0002-8132-5223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spodoptera frugiperda is a polyphagous pest of several crops of economic importance. Nowadays, the insect is broadly distributed in America and, recently, in Africa, Asia, and Australia. The species has diverged into corn and rice strains. The role of the gut microbiota in insect physiology is relevant due to its participation in crucial functions. However, knowledge of seasonal variations that alter the gut microbiome in pests is limited. Gut microbiome composition between the dry and rainy seasons was analyzed with cultured and uncultured approaches in S. frugiperda corn strain larvae collected at Northwest Colombia, as seasonal microbiome changes might fluctuate due to environmental changes. On the basis of culture-dependent methods, results show well-defined microbiota with bacterial isolates belonging to Enterococcus, Klebsiella (Enterobacteriales: Enterobacteriaceae), Enterobacter (Enterobacterales: Enterobacteriaceae), and Bacillus (Bacillales: Bacillaceae) genera. The community composition displayed a low bacterial diversity across all samples. The core community detected with uncultured methods was composed of Enterococcus, Erysipelatoclostridium (Erysipelotrichales: Erysipelotrichaceae), Rasltonia (Burkholderiales: Burkholderiaceae), and Rhizobium (Hyphomicrobiales: Rhizobiaceae) genera, and Enterobacteriaceae family members. Significant differences in microbiome diversity were observed between the two seasons. The relative abundance of Erysipelatoclostridium was high in the dry season, while in the phylotype ZOR0006 (Erysipelotrichales: Erysipelotrichaceae) and Tyzzerella (Lachnospirales: Lachnospiraceae) genus, the relative abundance was high in the rainy season. The overall low gut bacterial diversity observed in the S. frugiperda corn strain suggests a strong presence of antagonist activity as a selection factor possibly arising from the host, the dominant bacterial types, or the material ingested. Targeting the stability and predominance of this core microbiome could be an additional alternative to pest control strategies, particularly in this moth.

Indexed as

EnterococcusGastrointestinal MicrobiomeSeasonsAnimalsColombiaLarvaSpodopteraZea maysbacterial diversitycorn fall armywormintestinal microbiomenext-generation sequencing

Identifiers

PMID34734290
PMCPMC8567080

What OpenQuestion holds

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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.