Back

Seed Microbiota Diversity and Culture Collection of Four Major Crops Covering Different Genotypes and Production Modes

Simonin, M.; Guschinskaya, N.; Marchi, M.; MARAIS, C.; Preveaux, A.; Briand, M.; Kavunu, N.; Bosc-Bierne, A.; Labourgade, L.; Dutrieux, C.; BRAULT, A.; Rolland, S.; Koutouan, C.-E.; Portier, P.; Causse, M.; Langin, T.; Nesi, N.; Chen, N. W.; Sarniguet, A.; BARRET, M.

2026-05-01 ecology
10.64898/2026.04.29.721552 bioRxiv
Show abstract

Seed microbiota play a crucial role in plant health and development, yet remain understudied compared to other plant-associated microbial communities. This study aimed to characterize seed microbiota diversity across four major crops (common bean, rapeseed, tomato, and wheat) and establish a comprehensive strain collection of seed-borne microorganisms (bacteria and fungi). We employed a combination of culture-dependent and culture-independent approaches to analyze 68 seed samples representing diverse genotypes and production modes. Our results revealed highly variable seed microbiota, with bacterial colonization ranging from 10 to 100 million bacterial CFUs per gram of seeds, and microbial richness varying from 4 to 351 bacterial and 16 to 138 fungal amplicon sequence variants (ASVs) per sample. Both plant genotype and production mode significantly influenced microbiota composition, with each seed sample produced harboring a distinct microbial assemblage. Interestingly, seeds produced in confined environments exhibited lower bacterial colonization but higher microbial richness compared to field-produced seeds. We observed divergent ecological drivers shaping bacterial and fungal communities. Bacterial assemblages were more host-specific and variable, while fungal communities showed greater stability and a substantial core microbiome shared across plant species. Our culturomics approach yielded a collection of 2,510 bacterial and 837 fungal isolates, representing 10-21% of the seed microbiota diversity detected by metabarcoding and the majority of the prevalent and abundant taxa. Notably, 44-60% of cultured bacterial isolates were not detected by metabarcoding, highlighting the complementary nature of these approaches to detect rare or under amplified taxa in PCR. This study provides insights into the complexity and variability of seed microbiota across different crops and production conditions. Our findings emphasize the importance of combining culturomics and sequencing methods for comprehensive characterization of seed microbiota to uncover the potential of seed-borne microorganisms as bioinoculants for sustainable agriculture.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 1%
17.9%
2
PLOS ONE
4510 papers in training set
Top 23%
8.1%
3
Nature Communications
4913 papers in training set
Top 31%
6.1%
4
Frontiers in Plant Science
240 papers in training set
Top 2%
4.7%
5
ISME Communications
103 papers in training set
Top 0.4%
4.7%
6
Microbiome
139 papers in training set
Top 0.8%
4.1%
7
Frontiers in Microbiology
375 papers in training set
Top 2%
4.0%
8
Applied and Environmental Microbiology
301 papers in training set
Top 0.7%
3.8%
50% of probability mass above
9
The ISME Journal
194 papers in training set
Top 0.7%
3.8%
10
Environmental Microbiology
119 papers in training set
Top 0.9%
3.5%
11
Phytobiomes Journal
24 papers in training set
Top 0.1%
3.5%
12
New Phytologist
309 papers in training set
Top 2%
3.5%
13
mSystems
361 papers in training set
Top 3%
3.0%
14
Environmental Microbiome
26 papers in training set
Top 0.1%
2.6%
15
FEMS Microbiology Ecology
47 papers in training set
Top 0.1%
2.0%
16
Molecular Ecology
304 papers in training set
Top 3%
1.8%
17
Plant and Soil
14 papers in training set
Top 0.1%
1.4%
18
Communications Biology
886 papers in training set
Top 12%
1.4%
19
npj Biofilms and Microbiomes
56 papers in training set
Top 1%
1.3%
20
Environmental Science & Technology
64 papers in training set
Top 2%
1.2%
21
Microorganisms
101 papers in training set
Top 1%
1.1%
22
Nature Microbiology
133 papers in training set
Top 4%
0.9%
23
Methods in Ecology and Evolution
160 papers in training set
Top 2%
0.9%
24
mSphere
281 papers in training set
Top 6%
0.8%
25
Science of The Total Environment
179 papers in training set
Top 5%
0.7%
26
International Journal of Molecular Sciences
453 papers in training set
Top 16%
0.7%
27
BMC Plant Biology
47 papers in training set
Top 1%
0.7%
28
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.6%
29
Microbiology
57 papers in training set
Top 1%
0.6%