Back

Bacterial Signatures and Community Structure in the Phyllosphere of Eugenia uniflora: Developmental Dynamics and Core Microbiome in Myrtaceae

Cadavid Sanchez, I. C.; Esquen, D.; Margis, R.; Guzman Escudero, F. L.

2026-04-12 microbiology
10.64898/2026.04.10.717871 bioRxiv
Show abstract

Plants recruit microorganisms to form mutually beneficial associations that enhance their health, productivity, and resilience. The composition of the plant microbiome is shaped by factors such as host species, developmental stage, genotype, and tissue type, with microbial recruitment mediated by plant exudates and secondary metabolites. Eugenia uniflora, a Myrtaceae species native to Brazils Atlantic Forest, produces pharmacologically relevant secondary metabolites and holds ecological and economic value. However, little is known about its associated microbiome, particularly from a metagenomic perspective. In this study, we investigated the phyllosphere bacterial communities, both epiphytic and endophytic, of E. uniflora across two developmental stages (young and mature trees). We also examined the core microbiome shared between E. uniflora and other Myrtaceae genera to better understand microbial diversity and structure within this family. Amplicon sequencing of the V3-V4 region of the 16S rRNA gene was conducted on 19 E. uniflora samples and 13 additional samples from three other Myrtaceae genera. In E. uniflora, we identified 1,456 bacterial ASVs representing 17 phyla, 115 families, and 171 genera. Alpha and beta diversity analyses revealed significant differences in bacterial community composition between developmental stages. Genera such as Massilia and Hymenobacter were more abundant in mature trees, while Aureimonas and Terriglobus were more common in young plants. Leaf microbiome functional potential shifted with plant age, with older leaves favoring secondary metabolite production and younger leaves emphasizing microbial interactions and defense. A total of 16 genera formed the Myrtaceae core microbiome, with five, Methylobacterium-Methylorubrum, Hymenobacter, Sphingomonas, Bdellovibrio, and Terriglobus, present in 100% of samples. Notably, [~]0.7% of the bacterial diversity remained poorly classified, highlighting the underexplored nature of Myrtaceae-associated microbiomes and their potential for bioprospecting.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Environmental Microbiome
26 papers in training set
Top 0.1%
10.1%
2
Frontiers in Microbiology
375 papers in training set
Top 0.9%
7.2%
3
ISME Communications
103 papers in training set
Top 0.2%
6.3%
4
PLOS ONE
4510 papers in training set
Top 31%
4.9%
5
Scientific Reports
3102 papers in training set
Top 23%
4.9%
6
mSphere
281 papers in training set
Top 1.0%
4.4%
7
Environmental Microbiology
119 papers in training set
Top 0.6%
4.3%
8
mSystems
361 papers in training set
Top 2%
4.2%
9
mBio
750 papers in training set
Top 4%
4.0%
50% of probability mass above
10
The ISME Journal
194 papers in training set
Top 0.7%
3.6%
11
Phytobiomes Journal
24 papers in training set
Top 0.1%
3.6%
12
Applied and Environmental Microbiology
301 papers in training set
Top 0.8%
3.6%
13
Microbiome
139 papers in training set
Top 1%
2.6%
14
Microbiology Spectrum
435 papers in training set
Top 1%
2.6%
15
Microbial Ecology
28 papers in training set
Top 0.1%
1.9%
16
Environmental Microbiology Reports
27 papers in training set
Top 0.2%
1.9%
17
New Phytologist
309 papers in training set
Top 3%
1.9%
18
Frontiers in Plant Science
240 papers in training set
Top 3%
1.8%
19
Nature Communications
4913 papers in training set
Top 52%
1.7%
20
npj Biofilms and Microbiomes
56 papers in training set
Top 1%
1.5%
21
Microorganisms
101 papers in training set
Top 1%
1.2%
22
Plant and Soil
14 papers in training set
Top 0.1%
1.2%
23
Communications Biology
886 papers in training set
Top 17%
1.0%
24
eLife
5422 papers in training set
Top 53%
0.9%
25
FEMS Microbiology Ecology
47 papers in training set
Top 0.4%
0.8%
26
Archives of Microbiology
11 papers in training set
Top 0.4%
0.7%
27
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.7%
28
Molecular Ecology
304 papers in training set
Top 4%
0.7%
29
Microbial Biotechnology
29 papers in training set
Top 1%
0.6%
30
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 1%
0.6%