Dariusz Izak

Dariusz Izak

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 September 2019 in Agronomy
Verified
Journal Article
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Agnieszka WolińskaAgnieszka Wolińska
Agnieszka Wolińska
DGDorota Górniak
Dorota Górniak
UZUrszula Zielenkiewicz
Urszula Zielenkiewicz
Agnieszka KuźniarAgnieszka Kuźniar
Agnieszka Kuźniar
DIDariusz Izak
Dariusz Izak
MBMieczysław Błaszczyk
Mieczysław Błaszczyk
The aim of the study was to determine the Actinobacteria structure in cultivated (C) versus non-cultivated (NC) soils divided into three groups (autogenic, hydrogenic, lithogenic) with consideration its formation process in order to assess the Actinobacteria sensitivity to agricultural soil use and soil genesis and to identify factors affecting their abundance. Sixteen C soil samples and sixteen NC samples serving as controls were taken for the study. Next generation sequencing (NGS) of the 16S rRNA metagenomic amplicons (Ion Torrent™ technology) and Denaturing Gradient Gel Electrophoresis (DGGE) were applied for precise determination of biodiversity. Generally, greater abundance of Actinobacteria in the NC soils relative to the C soils was found. Moreover, it was indicated that the actinobacterial diversity depended on both the soil genesis and the land use; however, this effect directly depended on the particular family and genera. Two factors: redox potential (Eh) and total carbon (TC) seemed to had a significant effect on the diversity of Actinobacteria. More precisely, Actinobacteria from the NC soils displayed a greater affinity for each other and were clearly influenced by Eh, whilst those from the C soils were mostly influenced by TC.

24 February 2020 in Current Protocols in Bioinformatics
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Journal Article
Open access
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DIDariusz Izak
Dariusz Izak
AGA. Gromadka
A. Gromadka
SKS. Kaczanowski
S. Kaczanowski
We present Mothulity—a novel interface for Mothur, a well‐established tool for 16S/ITS biodiversity analysis. Although Mothur is a well‐documented and virtually complete software suite, its proper execution might be challenging for first‐time users, and editing the Mothur batch scripts is time consuming even for experienced users. Mothur produces little to no graphical output, leaving the generation of plots to the user. Mothulity minimizes the chance of human error through a minimalistic yet powerful interface, with most of the analysis parameters predefined or adjusted automatically. Time spent on running the analysis is drastically reduced, since Mothulity produces an HTML report with publication‐quality figures. Finally, Mothulity can be conveniently used with the SLURM workload manager, and is thereby suitable for a range of computing facilities. © 2020 by John Wiley & Sons, Inc.Basic Protocol 1: Standard operational procedure (SOP)Basic Protocol 2: Generating report on pre‐processed data