Droevendaalsesteeg 10
6708 PB Wageningen
The Netherlands
Molecular technician working for the Microbial and Animal Ecology department.
Ir. Agata Pijl graduated as a biotechnology technician in 1992 at the Hogeschool Rotterdam e.o. After this she studied biology at WageningenUR and graduated in 1995. She started working at the NIOO in 2000 for the Department of Microbial Ecology and also in 2003 for the Department of Animal Ecology. Here work now involves all kind of moleculair techniques in the projects of Eiko Kuramae, Marcel Visser, Kees van Oers and Melissah Rowe.
In this study, we adopt an interdisciplinary approach, integrating agronomic field experiments with soil chemistry, molecular biology techniques, and statistics to investigate the impact of organic residue amendments, such as vinasse (a by-product of sugarcane ethanol production), on soil microbiome and greenhouse gas (GHG) production. The research investigates the effects of distinct disturbances, including organic residue application alone or combined with inorganic N fertilizer on the environment. The methods assess soil microbiome dynamics (composition and function), GHG emissions, and plant productivity. Detailed steps for field experimental setup, soil sampling, soil chemical analyses, determination of bacterial and fungal community diversity, quantification of genes related to nitrification and denitrification pathways, measurement and analysis of gas fluxes (N2O, CH4, and CO2), and determination of plant productivity are provided. The outcomes of the methods are detailed in our publications (Lourenço et al., 2018a; Lourenço et al., 2018b; Lourenço et al., 2019; Lourenço et al., 2020). Additionally, the statistical methods and scripts used for analyzing large datasets are outlined. The aim is to assist researchers by addressing common challenges in large-scale field experiments, offering practical recommendations to avoid common pitfalls, and proposing potential analyses, thereby encouraging collaboration among diverse research groups. • Interdisciplinary methods and scientific questions allow for exploring broader interconnected environmental problems. • The proposed method can serve as a model and protocol for evaluating the impact of soil amendments on soil microbiome, GHG emissions, and plant productivity, promoting more sustainable management practices. • Time-series data can offer detailed insights into specific ecosystems, particularly concerning soil microbiota (taxonomy and functions).
Plant Growth-Promoting Microbes (PGPM) have the potential to enhance sustainable agriculture, but there is still a limited understanding of how the complex interplay between plant genetic variability, the native soil community, and soil nutrients affects PGPM recruitment. To address this challenge, we investigated the impact of bacteria isolates and arbuscular mycorrhizal fungi (AMF) along with their accompany microbiome (AMFc) derived from a wild chrysanthemum on the growth of five different commercial chrysanthemum cultivars (Chic, Chic 45, Chic Cream, Haydar and Barolo), as well as their rhizosphere microbiomes, within a nutrient-rich complex substrate environment. We found 23 bacterial strains capable of producing siderophore, 14 strains capable of producing Indole-3-acetic acid, and 18 strains capable of solubilizing phosphate. The AMFc had six AMF species, and the bacterial and fungal communities associated with AMF belonged to different phyla. Using generalized joint models, we investigated the impact of the three most effective bacterial strains and the AMFc on plant growth (shoot and root dry mass) while integrating information on plant genotype, environment, and microbes. The impact of PGPM inoculation varied from positive to negative effects depending on the cultivar, with Chic Cream showing the highest increase in root biomass after inoculation with both bacterial strain SMF006 (57 %) and AMFc inoculation (79 %). Our study demonstrates that PGPM from wild relative can impact the growth and assembly of the chrysanthemum root microbiome, but this impact is cultivar-dependent. Furthermore, inoculation with a complex AMF containing community (AMFc) induced greater changes in the rhizosphere microbiome than with a single bacterial isolate. Our study shows that inoculation of a complex community of beneficial microbes results in more effective plant growth promotion.
Climate change will strongly affect the developmental timing of insects, as their development rate depends largely on ambient temperature. However, we know little about the genetic mechanisms underlying the temperature sensitivity of embryonic development in insects. We investigated embryonic development rate in the winter moth (Operophtera brumata), a species with egg dormancy which has been under selection due to climate change. We used RNA sequencing to investigate which genes are involved in the regulation of winter moth embryonic development rate in response to temperature. Over the course of development, we sampled eggs before and after an experimental change in ambient temperature, including two early development weeks when the temperature sensitivity of eggs is low and two late development weeks when temperature sensitivity is high. We found temperature-responsive genes that responded in a similar way across development, as well as genes with a temperature response specific to a particular development week. Moreover, we identified genes whose temperature effect size changed around the switch in temperature sensitivity of development rate. Interesting candidate genes for regulating the temperature sensitivity of egg development rate included genes involved in histone modification, hormonal signalling, nervous system development and circadian clock genes. The diverse sets of temperature-responsive genes we found here indicate that there are many potential targets of selection to change the temperature sensitivity of embryonic development rate. Identifying for which of these genes there is genetic variation in wild insect populations will give insight into their adaptive potential in the face of climate change.
Unfortunately, Table 1 was incorrectly published in the original article and the same is corrected by this Erratum. The original article was corrected.