Project description:Nitrogen availability in the soil is a major determinant of crop yield. While the application of fertilizer can substantially increase the yield on poor soils, it also causes nitrate pollution of water resources and high costs for farmers. Increasing the nitrogen use efficiency in crop plants is a necessary step to implement low input agricultural systems. We exploited the genetic diversity present in the world-wide Arabidopsis thaliana population to study adaptive growth patterns and changes in gene expression associated with chronic low nitrate stress, with the aim to identify biomarkers associated with good plant performance under low nitrate availability. Transcription and epigenetic factors were identified as important players in the adaptatiion to limited nitrogen in a global gene expression analysis using the Affymetrix ATH1 chip.
Project description:Deficiency of the micronutrient zinc is a widespread condition in agricultural soils, generating a negative impact on crop quality and yield. Nevertheless, there is insufficient knowledge on the regulatory and molecular mechanisms underlying the plant response to inadequate zinc nutrition. Hydroponically-grown Arabidopsis thaliana plants (WT Col-0 and the T-DNA insertion double mutant bzip19 bzip23) were subjected to zinc deficiency, sufficiency and excess. The particular role of the bZIP19 and bZIP23 transcription factors was investigated via the bzip19 bzip23 double mutant.
Project description:Phosphorus, in its orthophosphate form (P(i)), is one of the most limiting macronutrients in soils for plant growth and development. However, the whole-genome molecular mechanisms contributing to plant acclimation to P(i) deficiency remain largely unknown. White lupin (Lupinus albus) has evolved unique adaptations for growth in P(i)-deficient soils, including the development of cluster roots to increase root surface area. In this study, we utilized RNA-Seq technology to assess global gene expression in white lupin cluster roots, normal roots, and leaves in response to P(i) supply. We de novo assembled 277,224,180 Illumina reads from 12 complementary DNA libraries to build what is to our knowledge the first white lupin gene index (LAGI 1.0). This index contains 125,821 unique sequences with an average length of 1,155 bp. Of these sequences, 50,734 were transcriptionally active (reads per kilobase per million reads ≥ 3), representing approximately 7.8% of the white lupin genome, using the predicted genome size of Lupinus angustifolius as a reference. We identified a total of 2,128 sequences differentially expressed in response to P(i) deficiency with a 2-fold or greater change and P ≤ 0.05. Twelve sequences were consistently differentially expressed due to P(i) deficiency stress in three species, Arabidopsis (Arabidopsis thaliana), potato (Solanum tuberosum), and white lupin, making them ideal candidates to monitor the P(i) status of plants. Additionally, classic physiological experiments were coupled with RNA-Seq data to examine the role of cytokinin and gibberellic acid in P(i) deficiency-induced cluster root development. This global gene expression analysis provides new insights into the biochemical and molecular mechanisms involved in the acclimation to P(i) deficiency.
Project description:Bearing in mind the prevalent occurrence of sulfur deficiency in soils, it is highly essential to comprehend the molecular processes of plant response to the changing conditions of sulfur nutrition. As there is an increasing understanding of ubiquitin-proteasomal protein degradation system participation in nutrient deficiency response, we could predict its input to the sulfur metabolism as well. Therefore, we decided to investigate the consequences of proteasome malfunction in Arabidopsis in sulfur deficient conditions. This study presents the transcriptomic response profiles of sulfur-deficient rosettes and roots of Arabidopsis thaliana mutant plants with proteasomal malfunction.
Project description:The experiment was designed to test the interactions of Spartina alterniflora, its microbiome, and the interaction of the plant-microbe relationship with oil from the Deepwater Horizon oil spill (DWH). Total RNA was extracted from leaf and root microbiome of S. alterniflora in soils that were oiled in DWH oil spill with or without added oil, as well as those grown in unoiled soil with or without added oil. The work in its entirety characterizes the transport, fate and catabolic activities of bacterial communities in petroleum-polluted soils and within plant tissues.