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Prenatal programming is a concept based on assumptions that the events occurring in critical points of embryonic development may pose epigenetic changes resulting from chemical rearrangements on the DNA structure. Epigenetic changes may pose life lasting phenotypic effects in the animal, or can be heritable, like gene silencing associated with methylation in gene promoters regions. The technical advancements in biotechnology, bioinformatics, molecular techniques and robotization have brought to new technological applications in poultry production. Intentional stimulation of embryonic development and determination of the future health of the hatched organism is possible by in ovo application of natural antioxidants and prebiotics, gut stabilizers like probiotics and other immunological enhancements, including vaccines. In parallel, the fine-tuned and generally accessible techniques of chicken embryo incubation along with the novel tissue engineering tools have led to focus the attention of scientists on chicken embryo as the alternative animal model for some pre-clinical approaches, in the context of reducing and replacing the experiments on animals. In this chapter, some key highlights are provided on current achievements in poultry embryonic applications, with the attention put to the emerging in ovo technologies (in ovo feeding, immunological stimulation and in ovo oncological tools), that address the societal challenges in food production and health management.

This document describes the final solution of iNGENIOUS interoperable layer and gives a detailed technical description of how components coming from different existing and forthcoming IoT technologies are integrated.

This document describes the approach of iNGENIOUS to develop an interoperability layer, aggregating data coming from different existing and forthcoming IoT technologies. The deliverable describes the state of the current technologies and the planned innovations applied to Internet-of-Things (IoT) data management and applications.

The present document describes the regulatory framework and business models related to the INGENIOUS project. The regulatory framework has been approached from different perspectives. The document discusses the spectrum issues and frequency bands available in the regions where the use cases are taking place. It also describes the requirements and limitations at network level, security and privacy concerns, cryptocurrency aspects, as well as data protection issues. The deliverable also identifies and explores the current business models at strategic level that could be derived from the iNGENIOUS results. The document first provides a PESTEL analysis for providing context, and then tackles the technological enablers that may bring to the consortium new business models and opportunities. D2.3 also describes both regulatory and business aspects concerning each of the six use cases of iNGENIOUS.

This deliverable focuses on the implementation plan for the iNGENIOUS use cases deployment and validation. It includes a list of required resourcesto be used for a proper testbeds' setup as well as a list of development and integration activities to be carried out during the project lifetime. A common methodology to keep track of system requirements verification per use case is also provided. In this deliverable use cases' implementation risks are also considered.

This document describes the approach of iNGENIOUS to develop an interoperable layer, aggregating data coming from different existing and forthcoming IoT technologies. The deliverable describes the state of the current technologies and the planned innovations applied to internet-of-things (IoT) data management and applications.

Additional file 1: Figure S1. Migration of chicken PGCs in early embryogenesis (according to Kuwana T., 2018, unpublished). Figure S2. NANOG gene amplification curve based on RNA isolated from gonadal PGCs collected from 3 stages of embryonic development: 4.5, 8 and 12.. Figure S3. DAZL gene amplification curve based on RNA isolated from gonadal PGCs collected from 3 stages of embryonic development: 4.5, 8 and 12. Figure S4. The number of differentially expressed genes showing up regulation (cut off >2.0) of expression in primordial germs cells detected between embryo development days:12 vs 4.5 (blue), 8 vs 4.5 (red) and 8 vs 12 (green). Figure S5. The number of differentially expressed genes showing down regulation (cut off >2.0) of expression in primordial germs cells detected between embryo development days:12 vs 4.5 (blue), 8 vs 4.5 (red) and 8 vs 12 (green). Figure S6. Analysis of the relationship between proteins encoded by genes whose expression was downregulated in PGCs on day 8 of embryo development. Lines of interactions according to STING: light blue – from curated databases; pink – experimentally determined; dark green – gene neighborhood; red – gene fusions; dark blue – gene co-occurrence; light green – textmining; black – co-expression; violett – protein homology. Table S1. List of selected genes for microarray validation with designed primer sequences for RT-qPCR reaction. Table S2. Microarray validation. Results of RT-qPCR analysis for panel of the most up or down expressed genes selected from microarrays results in 3 stages of embryo development. *statistically significant (P < 0.05).

Table S1. Environmental conditions used for chicken broilers Ross 308 (DOCX 19 kb)