Impact of Genetically Modified Maize on the Genetic Diversity of Rhizosphere Bacteria: a Two-Year Study in Slovakia

Ondreičková, Katarína; Mihálik, Daniel; Ficek, Andrej; Hudcovicová, Martina; Kraic, Ján; Drahovská, Hana

doi:10.3161/104.062.0107

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…Prischl et al (2012) used the T-RFLP for study of endophytic bacterial community in seven maize cultivars (three of them were transgenic) and concluded that the maize cultivar impacted soil environment, regardless of transgenic or non-transgenic status. Similar results were also observed using T-RFLP method for study of rhizosphere bacterial communities in the conventional and genetically modified maize MON810 (Ondreičková et al 2014). Cavaglieri et al (2009) used culture-dependent methods and found significant changes in microbial community composition in maize rhizosphere during all growth stages.…”

Section: Resultssupporting

confidence: 75%

Bacterial Communities in Rhizosphere of Maize Studied by T-RFLP

Ondreičková¹,

Ficek²,

Mihálik³

et al. 2014

Agriculture (Pol'nohospodárstvo)

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The terminal restriction fragment length polymorphism munities from different collecting places was evaluated was used to determine the bacterial diversity in rhizo- by principal component analysis. Results showed that sphere of maize (Zea mays L.) collected from four sites the most different bacterial community originated from of experimental field plot in two dates of the vegetation marginal part of the experimental field plot collected in season (July and September). The 16S rRNA gene was September was caused probably by combination of the amplified from metagenomic DNA using universal eubac- marginal effect and drought before sampling date in Sep- terial primers and PCR products were digested separately tember. Other rhizosphere samples showed from moderate with three restriction enzymes. Significant differences in to small differences in the structure of the bacterial com- the number of terminal restriction fragments among rhi- munity. Nevertheless, significant differences among all zosphere samples and between sampling dates were not collected bacterial communities were not observed. detected (P < 0.05). Variation within the bacterial communities from different collecting places was evaluated by principal component analysis. Results showed that the most different bacterial community originated from marginal part of the experimental field plot collected in September was caused probably by combination of the marginal effect and drought before sampling date in September. Other rhizosphere samples showed from moderate to small differences in the structure of the bacterial community. Nevertheless, significant differences among all collected bacterial communities were not observed.

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Section: Resultssupporting

confidence: 75%

Bacterial Communities in Rhizosphere of Maize Studied by T-RFLP

Ondreičková¹,

Ficek²,

Mihálik³

et al. 2014

Agriculture (Pol'nohospodárstvo)

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“…(Schweitzer et al 2008;Lamit et al 2015). Agricultural research has found effects of plant genotype on the communities of bacteria and fungi in the soil, including effects of different cultivars of chickpeas (Ellouze et al 2013) and maize (Peiffer et al 2013;Cotta et al 2014;Ondreickova et al 2014).…”

Section: E F F E C T S O F T R a I T V A R I A T I O N W I T H I N P mentioning

confidence: 99%

Eco‐evolutionary dynamics in plant–soil feedbacks

terHorst

Zee

2016

Functional Ecology

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Summary1. In the past decade, ecologists have begun to more fully appreciate the role of evolution in explaining contemporary ecological processes. Evolution is most likely to affect ecological patterns when selection pressure is particularly strong, or when the generation time of at least one interacting species is relatively short. 2. Interactions between plants and soil microbes are an excellent candidate for examining ecoevo interactions because interactions between organisms are tightly knit with the potential for species with relatively short generation times to impose strong selection on one another. Here, we examine the potential for eco-evolutionary dynamics in plant-soil feedbacks (PSFs). 3. Genetic variation in plant traits and subsequent evolution of those traits can affect traits and species composition of soil microbial communities. Soil microbial communities can, in turn, alter the evolutionary trajectory of plant traits. Further, the direction and magnitude of PSFs can affect the plant community, which may alter the selection on plant traits via intraand interspecific interactions. 4. Finally, we consider how eco-evolutionary feedbacks might enhance or mitigate the effects of PSFs in driving the structure of natural plant communities.

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“…The rhizomicrobiome of maize MON810 in different genetic backgrounds and in relation to near-isogenic cultivars as comparators has already been studied at a number of field sites located in different climatic regions, including Portugal, Spain, Slovakia, the USA, Brazil or Germany [18,[20][21][22][23][24][25], and an effect of the…”

Section: Introductionmentioning

confidence: 99%

Annual replication is essential in evaluating the response of the soil microbiome to the genetic modification of maize in different biogeographical regions

Szoboszlay

Näther

Mullins

et al. 2019

Preprint

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The importance of geographic location and annual variation on the detection of differences in the rhizomicrobiome caused by the genetic modification of maize (Bt-maize, event MON810) was evaluated at experimental field sites across Europe including Sweden, Denmark, Slovakia and Spain. DNA of the rhizomicrobiome was collected at the maize flowering stage in three consecutive years and analyzed for 20the abundance and diversity of PCR-amplified structural genes of Bacteria, Archaea and Fungi, and functional genes for bacterial nitrite reductases (nirS, nirK). The nirK genes were always more abundant than nirS. Maize MON810 did not significantly alter the abundance of any microbial genetic marker, except for sporadically detected differences at individual sites and years. In contrast, annual variation between sites was often significant and variable depending on the targeted markers. Distinct, site-25 specific microbial communities were detected but the sites in Denmark and Sweden were similar to each other. A significant effect of the genetic modification of the plant on the community structure in the rhizosphere was detected among the nirK denitrifiers at the Slovakian site in only one year. However, most nirK sequences with opposite response were from the same or related source organisms suggesting that the transient differences in community structure did not translate to the functional level. Our 30 results show a lack of effect of the genetic modification of maize on the rhizosphere microbiome that would be stable and consistent over multiple years. This demonstrates the importance of considering annual variability in assessing environmental effects of genetically modified crops.

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Impact of Genetically Modified Maize on the Genetic Diversity of Rhizosphere Bacteria: a Two-Year Study in Slovakia

Cited by 13 publications

References 25 publications

Bacterial Communities in Rhizosphere of Maize Studied by T-RFLP

Bacterial Communities in Rhizosphere of Maize Studied by T-RFLP

Eco‐evolutionary dynamics in plant–soil feedbacks

Annual replication is essential in evaluating the response of the soil microbiome to the genetic modification of maize in different biogeographical regions

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