Suppression of different classes of somatic mutations in Arabidopsis by vir gene-expressing Agrobacterium strains

Essential role of the BRCA2B gene in somatic homologous recombination in Arabidopsis thaliana

Constant exposure to various environmental and endogenous stresses can cause structural DNA damage, resulting in genome instability. Higher eukaryotic cells deploy conserved DNA repair systems, which include various DNA repair pathways, to maintain genome stability. Homologous recombination (HR), one of these repair pathways, involves multiple proteins. BRCA2, one of the proteins in the HR pathway, is of substantial research interest in humans because it is an oncogene. However, the study of this gene is limited due to the lack of availability of homozygous BRCA2-knockout mutants in mammals, which results in embryonic lethality. Arabidopsis thaliana has two copies of the BRCA2 homologs: BRCA2A and BRCA2B . Therefore, the single mutants remain nonlethal and fertile in Arabidopsis. The BRCA2A homolog, which plays a significant role in the HR pathway of germline cells and during the defense response, is well-studied in Arabidopsis. Our study focuses on the functional characterization of the BRCA2B homolog in the somatic cells of Arabidopsis, using the homozygous ΔBRCA2B mutant line. The phenotypic differences of ΔBRCA2B mutants were characterized and compared with wild Arabidopsis plants. The role of BRCA2B in spontaneous somatic HR (SHR) was studied using the ΔBRCA2B-gus detector line. ΔBRCA2B plants have a 6.3-fold lower SHR frequency than the control detector plants. Expression of four other HR pathway genes, including BRE, BRCC36A, RAD50, and RAD54, was significantly reduced in ΔBRCA2B mutants. Thus, our findings convey that the BRCA2B homolog plays an important role in maintaining spontaneous SHR rates and has a direct or indirect regulatory effect on the expression of other HR-related genes.

Screening internal controls for expression analyses involving numerous treatments by combining statistical methods with reference gene selection tools

Real-time PCR is always the method of choice for expression analyses involving comparison of a large number of treatments. It is also the favored method for final confirmation of transcript levels followed by high throughput methods such as RNA sequencing and microarray. Our analysis comprised 16 different permutation and combinations of treatments involving four different Agrobacterium strains and three time intervals in the model plant Arabidopsis thaliana. The routinely used reference genes for biotic stress analyses in plants showed variations in expression across some of our treatments. In this report, we describe how we narrowed down to the best reference gene out of 17 candidate genes. Though we initiated our reference gene selection process using common tools such as geNorm, Normfinder and BestKeeper, we faced situations where these software-selected candidate genes did not completely satisfy all the criteria of a stable reference gene. With our novel approach of combining simple statistical methods such as t test, ANOVA and post hoc analyses, along with the routine software-based analyses, we could perform precise evaluation and we identified two genes, UBQ10 and PPR as the best reference genes for normalizing mRNA levels in the context of 16 different conditions of Agrobacterium infection. Our study emphasizes the usefulness of applying statistical analyses along with the reference gene selection software for reference gene identification in experiments involving the comparison of a large number of treatments.