TY  - CONF
AU  - Bez, Cristina
AU  - Galić, Ivana
AU  - Bertani, Iris
AU  - Stanković, Nada
AU  - Venturi, Vittorio
PY  - 2023
UR  - https://belbi.bg.ac.rs/
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/2012
AB  - In terms of agricultural sustainability, herbicide-resistant, plant growth promoting (PGP)
bacteria that can improve crop yield are valuable resource. To exhibit PGP traits, the
bacteria must be able to colonize and survive in the rhizosphere.
Upon screening the herbicide-resistant bacterial collection, candidates with the highest
PGP potential were grouped into three consortia to evaluate their ability to colonize roots
and persist in the natural/local plant microbiome in the pot. Experiments were conducted
with seeds of commercial maize hybrids under controlled conditions, with and without
herbicide. Colonization ability was evaluated by examining multiple plants from each
treatment at two-time points during the experiment. 16S rRNA amplicon community
profiling was performed to precisely target the bacterial strains used in the three
consortia and investigate how the local microbiome might be altered by the application of
the consortia. Bioinformatic analysis was performed using qiime2, clustering of reads into
amplicon sequence variants ASVs using the DADA2 plugin, and the taxonomic assignment
was based on a customized dataset formed from the 16S rRNA gene sequences of the
ten isolates used in this study or by using the Silva rRNA database. For clustering and
comparison of ASVs based on sequence similarity, the program cd-hit was used, with
the sequence similarity parameter set to 98% to be considered part of the same cluster.
The obtained dataset was imported into R using the package qiime2R, and subsequent
analyzes and graphs were generated using either the R packages phyloseq, microbiome,
or reshape2. We identified seven out of ten inoculated strains in both time points tested
and with comparable abundance, indicating that most of the bacterial isolates tested have
the ability to colonize the root system of maize. Furthermore, the natural/local microbiome
of maize plants is not disturbed by the three consortia used in this study, implying that
they are good candidates for future biotechnological applications.
PB  - Belgrade : Institute of molecular genetics and genetic engineering
C3  - 4th Belgrade Bioinformatics Conference
T1  - Root colonization ability of herbicide-resistant PGP bacteria evaluated by 16S rRNA metabarcoding
EP  - 71
SP  - 71
VL  - 4
UR  - https://hdl.handle.net/21.15107/rcub_imagine_2012
ER  - 

@conference{
author = "Bez, Cristina and Galić, Ivana and Bertani, Iris and Stanković, Nada and Venturi, Vittorio",
year = "2023",
abstract = "In terms of agricultural sustainability, herbicide-resistant, plant growth promoting (PGP)
bacteria that can improve crop yield are valuable resource. To exhibit PGP traits, the
bacteria must be able to colonize and survive in the rhizosphere.
Upon screening the herbicide-resistant bacterial collection, candidates with the highest
PGP potential were grouped into three consortia to evaluate their ability to colonize roots
and persist in the natural/local plant microbiome in the pot. Experiments were conducted
with seeds of commercial maize hybrids under controlled conditions, with and without
herbicide. Colonization ability was evaluated by examining multiple plants from each
treatment at two-time points during the experiment. 16S rRNA amplicon community
profiling was performed to precisely target the bacterial strains used in the three
consortia and investigate how the local microbiome might be altered by the application of
the consortia. Bioinformatic analysis was performed using qiime2, clustering of reads into
amplicon sequence variants ASVs using the DADA2 plugin, and the taxonomic assignment
was based on a customized dataset formed from the 16S rRNA gene sequences of the
ten isolates used in this study or by using the Silva rRNA database. For clustering and
comparison of ASVs based on sequence similarity, the program cd-hit was used, with
the sequence similarity parameter set to 98% to be considered part of the same cluster.
The obtained dataset was imported into R using the package qiime2R, and subsequent
analyzes and graphs were generated using either the R packages phyloseq, microbiome,
or reshape2. We identified seven out of ten inoculated strains in both time points tested
and with comparable abundance, indicating that most of the bacterial isolates tested have
the ability to colonize the root system of maize. Furthermore, the natural/local microbiome
of maize plants is not disturbed by the three consortia used in this study, implying that
they are good candidates for future biotechnological applications.",
publisher = "Belgrade : Institute of molecular genetics and genetic engineering",
journal = "4th Belgrade Bioinformatics Conference",
title = "Root colonization ability of herbicide-resistant PGP bacteria evaluated by 16S rRNA metabarcoding",
pages = "71-71",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_imagine_2012"
}

Bez, C., Galić, I., Bertani, I., Stanković, N.,& Venturi, V.. (2023). Root colonization ability of herbicide-resistant PGP bacteria evaluated by 16S rRNA metabarcoding. in 4th Belgrade Bioinformatics Conference
Belgrade : Institute of molecular genetics and genetic engineering., 4, 71-71.
https://hdl.handle.net/21.15107/rcub_imagine_2012

Bez C, Galić I, Bertani I, Stanković N, Venturi V. Root colonization ability of herbicide-resistant PGP bacteria evaluated by 16S rRNA metabarcoding. in 4th Belgrade Bioinformatics Conference. 2023;4:71-71.
https://hdl.handle.net/21.15107/rcub_imagine_2012 .

Bez, Cristina, Galić, Ivana, Bertani, Iris, Stanković, Nada, Venturi, Vittorio, "Root colonization ability of herbicide-resistant PGP bacteria evaluated by 16S rRNA metabarcoding" in 4th Belgrade Bioinformatics Conference, 4 (2023):71-71,
https://hdl.handle.net/21.15107/rcub_imagine_2012 .