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      Influence of Pesticides and Mineral Fertilizers on the Bacterial Community of Arable Soils under Pea and Chickpea Crops

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          Abstract

          Fertile Chernozems of Southern Russia are of great value, so it is important to study the impact of agricultural activities on the soil quality. Changes in taxonomic composition and α-diversity of microbial communities of agricultural soils occupied by pea (Pisum sativum L.) and chickpea (Cicer arietinum L.) in response of cropland management were studied. A field experiment was conducted under four different conditions: (1) control, (2) mineral fertilizers (NPK) application alone, (3) pesticides application alone, and (4) fertilization combined with pesticides. The taxonomic composition of the soil bacterial community was studied by amplification and sequencing of the 16S rRNA gene. The predominance of Actinobacteria (17.7–32.3%), Proteobacteria (17.7–28.2%), Planctomycetes (10.1–21.3%), Acidobacteria (5.3–11.1%), Chloroflexi (1.0–7.1%), Gemmatimonadetes (2.5–8.0%), Bacteroidetes (3.6–11.3%), and Verrucomicrobia (3.9–9.2%) was noted. Introduction of pesticides led to an increase in the relative abundance of Chlorobi and Gemmatimonadetes. The time of sampling was the main significant factor determining the differences in the structure of soil microbial communities. All treatments did not have a significant effect on the α-diversity of the studied soils. Thus, treatment with mineral fertilizers and pesticides does not have a significant negative effect on the bacterial community of cultivated soils.

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          QIIME allows analysis of high-throughput community sequencing data.

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            Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB

            A 16S rRNA gene database ( http://greengenes.lbl.gov ) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It was found that there is incongruent taxonomic nomenclature among curators even at the phylum level. Putative chimeras were identified in 3% of environmental sequences and in 0.2% of records derived from isolates. Environmental sequences were classified into 100 phylum-level lineages in the Archaea and Bacteria .
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              The diversity and biogeography of soil bacterial communities.

              For centuries, biologists have studied patterns of plant and animal diversity at continental scales. Until recently, similar studies were impossible for microorganisms, arguably the most diverse and abundant group of organisms on Earth. Here, we present a continental-scale description of soil bacterial communities and the environmental factors influencing their biodiversity. We collected 98 soil samples from across North and South America and used a ribosomal DNA-fingerprinting method to compare bacterial community composition and diversity quantitatively across sites. Bacterial diversity was unrelated to site temperature, latitude, and other variables that typically predict plant and animal diversity, and community composition was largely independent of geographic distance. The diversity and richness of soil bacterial communities differed by ecosystem type, and these differences could largely be explained by soil pH (r(2) = 0.70 and r(2) = 0.58, respectively; P < 0.0001 in both cases). Bacterial diversity was highest in neutral soils and lower in acidic soils, with soils from the Peruvian Amazon the most acidic and least diverse in our study. Our results suggest that microbial biogeography is controlled primarily by edaphic variables and differs fundamentally from the biogeography of "macro" organisms.
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                Author and article information

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                Journal
                ABSGGL
                Agronomy
                Agronomy
                MDPI AG
                2073-4395
                March 2023
                March 04 2023
                : 13
                : 3
                : 750
                Article
                10.3390/agronomy13030750
                898ec94e-a1b6-4eaf-806c-b19351a24c3c
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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