**5. Conclusions**

The analyzed grass species from the family *Poacea* had a beneficial effect on soil microbiome and activity of soil enzymes. The intensity of their effect was determined by both their species and their functional type. More favorable conditions for the growth and development of soil bacteria, and thereby for the enhanced enzymatic activity, were offered by the fodder than by the lawn grasses. Among the fodder grasses, the greatest bacteriobiome diversity was demonstrated in the soil sown with *Poa pratensis* (Pp), whereas, among the lawn grasses, it was in soil sown with *Phleum pretense* (Pr). The highest enzymatic activity was determined also. Considering the fodder grasses, this was in the soil with *Lolium* x *hybridum* Hausskn (Lh), and in the soil with *Lolium perenne* (Lp) in the case of lawn grasses. The sowing of soils with grasses caused the succession of bacterial communities from r strategy to k strategy. In all pots, the prevailing phyla included *Proteobacteria* and *Actinobacteria*; the prevailing classes were *Alphaproteobacteria* and *Actinobacteria*; the prevailing orders included *Actinomycetales*, *Sphingomycetales*, and *Rhizobiales*; the prevailing families were *Sphingomonadaceae* and *Hyphomicrobiaceae*; and the prevailing genera included *Kaistobacter*, *Rhodoplanes*, *Teracoccus*, and *Flavobacterium.*

**Supplementary Materials:** The following are available online at http://www.mdpi.com/1424-2818/12/6/212/s1, Table S1: One-way significance tests carried out using the analysis of variance (ANOVA), Figure S1: The relative abundance of dominant phylum bacteria in soil. Data on the number of readings greater than 1% of all OTUs, Figure S2: The relative abundance of dominant class bacteria in soil. Data on the number of readings greater than 1% of all OTUs, Figure S3: The relative abundance of dominant order bacteria in soil. Data on the number of readings greater than 1% of all OTUs, Figure S4: The relative abundance of dominant family bacteria in soil. Data on the number of readings greater than 1% of all OTUs.

**Author Contributions:** A.B. conceived and designed the ideas and. wrote the manuscript with the help of J.W. and J.K.; A.B. conducted the experiments, collected and analyzed the data, conducted the bioinformatic analysis and visualization of data; all authors contributed to the final version of this manuscript. All authors have read and agreed to the published version of the manuscript.

**Funding:** This study was supported by the Ministry of Science and Higher Education funds for statutory activity. Project financially supported by Minister of Science of Higher Education in the range of the program entitled "Regional Initiative of Excellence" for the years 2019–2022, Project No. 010/RID/2018/19, amount of funding 12,000,000 PLN.

**Conflicts of Interest:** The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
