Effects on gene expression during maize-Azospirillum interaction in the presence of a plant-specific inhibitor of indole-3-acetic acid production

Amongst the sustainable alternatives to increase maize production is the use of plant growth-promoting bacteria (PGPB). Azospirillum brasilense is one of the most well-known PGPB being able to fix nitrogen and produce phytohormones, especially indole-3-acetic acid - IAA. This work investigated if there is any contribution of the bacterium to the plant's IAA levels, and how it affects the plant. To inhibit plant IAA production, yucasin, an inhibitor of the TAM/YUC pathway, was applied. Plantlets' IAA concentration was evaluated through HPLC and dual RNA-Seq was used to analyze gene expression. Statistical differences between the group treated with yucasin and the other groups showed that A. brasilense inoculation was able to prevent the phenotype caused by yucasin concerning the number of lateral roots. Genes involved in the auxin and ABA response pathways, auxin efflux transport, and the cell cycle were regulated by the presence of the bacterium, yucasin, or both. Genes involved in the response to biotic/abiotic stress, plant disease resistance, and a D-type cellulose synthase changed their expression pattern among two sets of comparisons in which A. brasilense acted as treatment. The results suggest that A. brasilense interferes with the expression of many maize genes through an IAA-independent pathway.

The combined analysis as the best strategy for Dual RNA-Seq mapping

In Dual RNA-Seq experiments the simultaneous extraction of RNA and analysis of gene expression data from both interacting organisms could be a challenge. One alternative is separating the reads during in silico data analysis. There are two main mapping methods used: sequential and combined. Here we present a combined approach in which the libraries were aligned to a concatenated genome to sort the reads before mapping them to the respective annotated genomes. A comparison of this method with the sequential analysis was performed. Two RNA-Seq libraries available in public databases consisting of a eukaryotic (Zea mays) and a prokaryotic (Herbaspirillum seropediceae) organisms were mixed to simulate a Dual RNA-Seq experiment. Libraries from real Dual RNA-Seq experiments were also used. The sequential analysis consistently attributed more reads to the first reference genome used in the analysis (due to cross-mapping) than the combined approach. More importantly, the combined analysis resulted in lower numbers of cross-mapped reads. Our results highlight the necessity of combining the reference genomes to sort reads previously to the counting step to avoid losing information in Dual RNA-Seq experiments. Since most studies first map the RNA-Seq libraries to the eukaryotic genome, much prokaryotic information has probably been lost.

Iron deficiency resistance mechanisms enlightened by gene expression analysis in Paenibacillus riograndensis SBR5

Despite its importance in growth and cell division, iron metabolism is still poorly understood in microorganisms, especially in Gram-positive bacteria. In this work, we used RNA sequencing technology to elucidate global mechanisms involved in iron starvation resistance in Paenibacillus riograndensis SBR5, a potential plant growth-promoting bacterium. Iron deficiency caused several changes in gene expression, and 150 differentially expressed genes were found: 71 genes were overexpressed and 79 genes were underexpressed. Eight genes for which expression was at least twice as high or twice as low in iron-limited condition compared with iron-sufficient condition were chosen for RT-qPCR analysis to validate the RNA seq data. In general, most genes exhibited the same pattern of expression after 24 h of P. riograndensis growth under iron-limiting condition. Our results suggest that, during iron deficiency, bacteria express several genes related to nutrient uptake when they start to grow to obtain all of the molecules necessary for maintaining major cellular processes. However, once iron becomes highly limiting and is no longer able to sustain exponential growth, bacteria begin to express genes related to several processes, like sporulation and DNA protection, as a way of resisting this stress.