Effect of primer mismatch, annealing temperature and PCR cycle number on 16S rRNA gene‐targetting bacterial community analysis

The gut of insects may harbour one of the largest reservoirs of a yet unexplored microbial diversity. To understand how specific insects select for their own bacterial communities, the structural diversity and variability of bacteria found in the gut of different bee species was analysed. For three successive years, adults and larvae of Apis mellifera ssp. carnica (honey bee), and Bombus terrestris (bumble bee), as well as larvae of Osmia bicornis (red mason bee) were collected at a flowering oilseed rape field. Total DNA was extracted from gut material and the bacterial diversity was analysed, independent of cultivation, by genetic profiling with single-strand conformation polymorphism (SSCP) of polymerase chain reaction (PCR)-amplified partial 16S rRNA genes. The SSCP profiles were specific for all bee species and for larvae and adults. Qualitative and quantitative differences were found in the bacterial community structure of larvae and adults of A. mellifera, but differences in B. terrestris were mainly quantitative. Sequencing of the PCR products revealed a dominance of Alpha-, Beta-, and Gammaproteobacteria, Bacteroidetes, and Firmicutes in all bee species. Single-strand conformation polymorphism profiles suggested a higher abundance and diversity of lactobacilli in adults of A. mellifera than in larvae. Further phylogenetic analyses indicated common bacterial phylotypes for all three bee species, e.g. those related to Simonsiella, Serratia, and Lactobacillus. Clades related to Delftia acidovorans, Pseudomonas aeruginosa or Lactobacillus intestinalis only contained sequences from larvae. Several of the bee-specific clusters also contained identical or highly similar sequences from bacteria detected in other A. mellifera subspecies from South Africa, suggesting the existence of cosmopolitan gut bacteria in bees.

Diversity and phylotype consistency of bacteria in the guts of three bee species (Apoidea) at an oilseed rape field.

Field studies were done to assess how much of the transgenic, insecticidal protein, Cry1Ab, encoded by a truncated cry1Ab gene from Bacillus thuringiensis (Bt), was released from Bt-maize MON810 into soil and whether bacterial communities inhabiting the rhizosphere of MON810 maize were different from those of the rhizosphere of nontransgenic maize cultivars. Bacterial community structure was investigated by SSCP (single-strand conformation polymorphism) of PCR-amplified 16S rRNA genes from community DNA. Using an improved extraction and detection protocol based on a commercially available ELISA, it was possible to detect Cry1Ab protein extracted from soils to a threshold concentration of 0.07 ng/g soil. From 100 ng of purified Cry1Ab protein added per gram of soil, only an average of 37% was extractable. At both field sites investigated, the amount of Cry1Ab protein in bulk soil of MON810 field plots was always lower than in the rhizosphere, the latter ranging from 0.1 to 10 ng/g soil. Immunoreactive Cry1Ab protein was also detected at 0.21 ng/g bulk soil 7 months after harvesting, i.e. in April of the following year. At this time, however, higher values were found in residues of leaves (21 ng/g) and of roots (183 ng/g), the latter corresponding to 12% of the Cry1Ab protein present in intact roots. A sampling 2 months later indicated further degradation of the protein. Despite the detection of Cry1Ab protein in the rhizosphere of MON810 maize, the bacterial community structure was less affected by the Cry1Ab protein than by other environmental factors, i.e. the age of the plants or field heterogeneities. The persistence of Cry1Ab protein emphasizes the importance of considering post-harvest effects on nontarget organisms.

Field studies on the environmental fate of the Cry1Ab Bt-toxin produced by transgenic maize (MON810) and its effect on bacterial communities in the maize rhizosphere.

CO2SINK—From site characterisation and risk assessment to monitoring and verification: One year of operational experience with the field laboratory for CO2 storage at Ketzin, Germany

Bacterial communities are important catalysts in the production of composts. Here, it was analysed whether the diversity of bacteria in finished composts is stable and specific for the production process. Single-strand conformation polymorphism (SSCP) based on polymerase chain reaction amplified partial 16S rRNA genes was used to profile and analyse bacterial communities found in total DNA extracted from finished composts. Different batches of compost samples stored over a period of 12 years and a 1-year-old vermicompost were compared to each other. According to digital image analysis, clear differences could be detected between the profiles from compost and vermicompost. Differences between three different periods of compost storage and between replicate vermicompost windrows were only minor. A total of 41 different 16S rRNA genes were identified from the SSCP profiles by DNA sequencing, with the vast majority related to yet-uncultivated bacteria. Sequences retrieved from compost mainly belonged to the phyla Actinobacteria and Firmicutes. In contrast, vermicompost was dominated by bacteria related to uncultured Chloroflexi, Acidobacteria, Bacteroidetes and Gemmatimonadetes. The differences were underscored with specific gene probes and Southern blot hybridizations. The results confirmed that different substrates and composting processes selected for specific bacterial communities in the finished products. The specificity and consistency of the bacterial communities inhabiting the compost materials suggest that cultivation-independent bacterial community analysis is a potentially useful indicator to characterize the quality of finished composts in regard to production processes and effects of storage conditions.

Bacterial diversity in a finished compost and vermicompost: differences revealed by cultivation-independent analyses of PCR-amplified 16S rRNA genes.

Microbial community analysis by PCR-single-strand conformation polymorphism (PCR-SSCP).

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Microbial community analysis by PCR-single-strand conformation polymorphism (PCR-SSCP).