Degradation of transgenic Bt-rice straw incorporated with two different paddy soils.

Transgenic Bt-rice is rice that has been genetically modified to produce insecticidal proteins (Cry1Ab/Ac) within the plant. Rice straw is incorporated into paddy soils after harvest for fertilization or to improve the soil structure. The incorporation of straw from transgenic Bt-rice may pose risks to the paddy soil system. The decomposition of Bt-rice straw and degradation of Cry1Ab/Ac proteins from the straw were investigated under laboratory conditions. In addition, effects of the incorporation with chopped rice straw on microbial communities in differently textured paddy soils were studied. The results indicated that the incorporation of straw from transgenic Bt-rice might have a slight influence on soil respiration and CH4 emissions in two paddy soils, i.e. the Silt Loam soil and the Silty Clay soil. Differences were also observed in the cumulative emissions of CO2 between the two amended paddy soils in addition to the well-known increase in emissions of both CO2 and CH4 due to straw incorporation. The Cry1Ab/Ac proteins from straw of transgenic Bt-rice were degraded in paddy soils. The rate of decline in the concentration of Cry1Ab/Ac proteins was different in the two soils. After 29 d of incubation, 61% and 42% of initial Cry1Ab/Ac proteins were detected in the silt loam and silty clay, respectively. As a result of the presence of the rice straw, the abundance of bacteria, archaea, and total cells were increased in two soils. The numbers of bacteria and total cells were 6.4% and 11.5% higher in the silt loam amended with straw of Bt-rice than non-Bt-rice, respectively. The silty clay displayed a similar trend as the silt loam.

Off-Line Evaluation of Mobile-Centric Indoor Positioning Systems: The Experiences from the 2017 IPIN Competition.

The development of indoor positioning solutions using smartphones is a growing activity with an enormous potential for everyday life and professional applications. The research activities on this topic concentrate on the development of new positioning solutions that are tested in specific environments under their own evaluation metrics. To explore the real positioning quality of smartphone-based solutions and their capabilities for seamlessly adapting to different scenarios, it is needed to find fair evaluation frameworks. The design of competitions using extensive pre-recorded datasets is a valid way to generate open data for comparing the different solutions created by research teams. In this paper, we discuss the details of the 2017 IPIN indoor localization competition, the different datasets created, the teams participating in the event, and the results they obtained. We compare these results with other competition-based approaches (Microsoft and Perf-loc) and on-line evaluation web sites. The lessons learned by organising these competitions and the benefits for the community are addressed along the paper. Our analysis paves the way for future developments on the standardization of evaluations and for creating a widely-adopted benchmark strategy for researchers and companies in the field.

The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work.

This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors' estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.

Evaluation of Strategies to Separate Root-Associated Microbial Communities: A Crucial Choice in Rhizobiome Research.

Plants shape distinct, species-specific microbiomes in their rhizospheres. A main premise for evaluating microbial communities associated with root-soil compartments is their successful separation into the rhizosphere (soil-root interface), the rhizoplane (root surface), and the endosphere (inside roots). We evaluated different approaches (washing, sonication, and bleaching) regarding their efficiency to separate microbial cells associated with different root compartments of soil-grown rice using fluorescence microscopy and community fingerprinting of 16S rRNA genes. Vigorous washing detached 45% of the rhizoplane population compared to untreated roots. Additional sonication reduced rhizoplane-attached microorganisms by up to 78% but caused various degrees of root tissue destruction at all sonication intensities tested. Treatment with sodium hypochlorite almost completely (98%) removed rhizoplane-associated microbial cells. Community fingerprinting revealed that microbial communities obtained from untreated, washed, and sonicated roots were not statistically distinguishable. Hypochlorite-treated roots harbored communities significantly different from all other samples, likely representing true endospheric populations. Applying these procedures to other root samples (bean and clover) revealed that treatment efficiencies were strongly affected by root morphological parameters such as root hair density and rigidity of epidermis. Our findings suggest that a careful evaluation of separation strategies prior to molecular community analysis is indispensable, especially when endophytes are the subject of interest.

Influence of different Oryza cultivars on expression of nifH gene pools in roots of rice.

Cultivation-independent studies suggest that roots of rice (Oryza sativa) are colonized by a diverse community of nitrogen-fixing bacteria. Here we report for the first time mRNA-based profiling of nitrogenase (nifH) genes, to study the impact of lowland-rice genotypes at the cultivar level on the functional diversity of root-associated diazotrophs. Root RNA extracts from all plants contained nifH mRNA at levels detectable by reverse transcription polymerase chain reaction (RT-PCR). Terminal restriction fragment length polymorphism (T-RFLP) analysis of RT-PCR products showed only small interplant variations. However, RNA- and DNA-based profiles obtained from the same root extractions differed from each other, suggesting that presence of diazotrophs did not necessarily coincide with active transcription of nif genes. Application of N-fertilizer at planting had a long-term effect on the profile of expressed nitrogenase genes. Phylogenetic analysis of a clone library constructed for nifH fragments expressed in wild species of rice roots indicated that active diazotrophs were not related to cultured strains. The composition of active diazotrophic communities was compared for six related cultivars of O. sativa, wild species Oryza brachyantha, and a genetic cross between it and cv. IR56, grown under identical conditions in rice field soil in the Philippines without N-fertilizer application. Remarkable varietal differences in root associated nifH-gene expressing communities were detected. This underlines the importance of mRNA-based approaches to study functional diversity and eventually identify key diazotrophs in a particular environment.