ITS and 16S rDNA metagenomic dataset of different soils from flax fields

• Published in: Data in brief Vol. 52; p. 109827
• Main Authors: Zhernova, Daiana A., Pushkova, Elena N., Rozhmina, Tatiana A., Povkhova, Liubov V., Novakovskiy, Roman O., Turba, Anastasia A., Borkhert, Elena V., Sigova, Elizaveta A., Dvorianinova, Ekaterina M., Krasnov, George S., Melnikova, Nataliya V., Dmitriev, Alexey A.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.02.2024; Elsevier
• Subjects: 16S rDNA; Amplicon sequence data; Data; Flax; ITS; Linum usitatissimum; Microbial diversity; Soil metagenomics; Targeted deep sequencing; Linum usitatissimum; Targeted deep sequencing; 16S rDNA; Microbial diversity; Soil metagenomics; ITS; Flax; Amplicon sequence data
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2023.109827

Flax (Linum usitatissimum L.), one of the important and versatile crops, is used for the production of oil and fiber. To obtain high and stable yields of flax products, L. usitatissimum varieties should be cultivated under optimal conditions, including the composition of the soil microbiome. We evaluated the diversity of microorganisms in soils under conditions unfavorable for flax cultivation (suboptimal acidity or herbicide treatment) or infected with causative agents of harmful flax diseases (Septoria linicola, Colletotrichum lini, Melampsora lini, or Fusarium oxysporum f. sp. lini). For this purpose, twenty-two sod-podzolic soil samples were collected from flax fields and their metagenomes were analyzed using the regions of 16S ribosomal RNA gene (16S rDNA) and internal transcribed spacers (ITS) of the ribosomal RNA genes, which are used in phylogenetic studies of bacteria and fungi. Amplicons were sequenced on the Illumina MiSeq platform (reads of 300 + 300 bp). On average, we obtained 8,400 reads for ITS and 43,300 reads for 16S rDNA per sample. For identification of microorganisms in the soil samples, the Illumina reads were processed using DADA2. The raw data are deposited in the Sequence Read Archive under the BioProject accession number PRJNA956957. Tables listing the microorganisms identified in the soil samples are available in this article. The obtained dataset can be used to analyze the fungal and bacterial composition of flax field soils and their relationship to environmental conditions, including suboptimal soil acidity and infection with fungal pathogens. In addition, it can help to understand the influence of herbicide treatment on the microbial diversity of flax fields. Another useful application of our data is the ability to assess the suitability of the soil microbiome for flax cultivation.