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Endophytic bacterial diversity decrease in amaranth mutant lines after radiation mutagenesis
Author(s) -
Medo Juraj,
Žiarovská Jana,
Medová Janka,
Javoreková Soňa,
Kyseľ Matúš,
Hricová Andrea
Publication year - 2018
Publication title -
cereal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.558
H-Index - 100
eISSN - 1943-3638
pISSN - 0009-0352
DOI - 10.1002/cche.10006
Subject(s) - amaranth , biology , metagenomics , 16s ribosomal rna , bacteria , botany , genetics , food science , gene
Background and objectives A metagenomic approach was applied to analyze endophytic bacterial diversity changes in Amaranthus cruentus L. subjected to mutagenesis‐based breeding. Findings High‐throughput sequencing approach of 16S rRNA variability analysis was used for monitoring of the changes of endophytic bacterial diversity in selected M generations and varieties Ficha and Pribina of Amaranthus cruentus L. A total of 15,683,430 clusters were generated in the sequencing and 15,085,381 of them passed filter. Average cluster density was 646 clusters per mm 2 . A 95%, 97% of sequences were Q >30. All sequences were classified into the 44 orders that were identified from all the analyzed genotypes of Amaranthus. Metagenomic libraries of Ficha and Pribina showed the similar profiles of identified bacterial orders and that are different from the profiles of M1 and M7 generations after gamma radiance treatment. Conclusions Endophytic bacteria diversity was higher in the starting variety and final new variety of Amaranthus when comparing to the M generations. Based on the laboratory conditions of the growth of analyzed plant material, it supposes that endophytic bacterial abundance differences are a result of temporary changes in the amount of bacterial endophytes and the metagenomic limitation of their identification. Significance and novelty Metagenomic analysis provides a sensitive approach that facilitates the study of the endophytic bacteria changes in the leaves of plant after gamma radiation mutagenesis.