Seed Metabolism and Pathogen Resistance Enhancement in During Colonization of Arbuscular Mycorrhizal Fungi: An Integrative Metabolomics-Proteomics Approach.

Pulses are one of the most important categories of food plants, and Pea ( L.) as a member of pulses is considered a key crop for food and feed and sustainable agriculture. Integrative multi-omics and microsymbiont impact studies on the plant's immune system are important steps toward more productive and tolerant food plants and thus will help to find solutions against food poverty.

Impacts on Seed Productivity, Quality, and Protection of upon Disease Stress Caused by : Phenotypic, Proteomic, and Metabolomic Traits.

In field peas, ascochyta blight is one of the most common fungal diseases caused by Despite the high diversity of pea cultivars, only little resistance has been developed until to date, still leading to significant losses in grain yield. Rhizobia as plant growth promoting endosymbionts are the main partners for establishment of symbiosis with pea plants. The key role of as an effective nitrogen source for legumes seed quality and quantity improvement is in line with sustainable agriculture and food security programs.

Key metabolic traits of Pisum sativum maintain cell vitality during Didymella pinodes infection: cultivar resistance and the microsymbionts' influence.

Unlabelled: Ascochyta blight causes severe losses in field pea production and the search for resistance traits towards the causal agent Didymella pinodes is of particular importance for farmers. Various microsymbionts have been reported to shape the plants' immune response. However, regardless their contribution to resistance, they are hardly included in experimental designs.

A Proteomic Workflow Using High-Throughput De Novo Sequencing Towards Complementation of Genome Information for Improved Comparative Crop Science.

The proteomic study of non-model organisms, such as many crop plants, is challenging due to the lack of comprehensive genome information. Changing environmental conditions require the study and selection of adapted cultivars. Mutations, inherent to cultivars, hamper protein identification and thus considerably complicate the qualitative and quantitative comparison in large-scale systems biology approaches.