In sweet cherry trees, flowering is commercially important because the flowers, after fertilization, will generate the fruits. In P. avium, the flowering induction and flower organogensis are the first developmental steps towards flower formation and they occur within specialized organs known as floral buds during the summer, nine months before blooming. During this period the number of floral buds per tree and the bud fruitfulness (number of flowers per bud) are stablished affecting the potential yield of orchards and the plant architecture. The floral bud development is sensitive to any type of stress and the hotter and drier summers will interfere with this process and are calling for new adapted cultivars. A better understanding of the underlying molecular and hormonal mechanisms would be of help, but unlike the model plant Arabidopsis, very little is known about floral induction in sweet cherry. To explore the molecular mechanism of floral bud differentiation, high-throughput RNA sequencing was used to detect differences in the gene expression of P. avium floral buds at five differentiation stages. We found 2,982 differentially expressed genes during floral bud development. We identified genes associated with floral initiation or floral organ identity that appear to be useful biomarkers of floral development and several transcription factor families (ERF, MYB, bHLH, MADS-box and NAC gene family) with novel potential roles during floral transition in this species. We analyzed in deep the MADS-box gene family and we shed light about their key role during floral bud and organs development in P. avium. Furthermore, the hormonal-related signatures in the gene regulatory networks and the dynamic changes of absicic acid, zeatin and indolacetic acid contents in buds suggest an important role for these hormones during floral bud differentiation in sweet cherry. These data provide a rich source of novel informacion for functional and evolutionary studies about floral bud development in sweet cherry and new tools for biotechnology and breeding.
2 March 2006 in Botanical Journal of the Linnean Society
Pseudomonas syringae pv. syringae (Pss) is an economically significant bacterial pathogen that causes canker in sweet cherry trees. In Chile, sweet cherry (Prunus avium L.) is a key crop whose exponential production growth has increased phytosanitary pressure. However, the genetic diversity and adaptive mechanisms of local Pss populations have remained poorly understood. This study characterized 41 Pss isolates from major Chilean production regions. Their genomes were sequenced and compared with 152 public genomes from the PG2 phylogenetic group. The analysis revealed a predominance of the PG2d subgroup among the Chilean isolates, with a population structure defined by at least 18 genomic clusters, some of which are exclusive to Chile. A characteristic feature of this entire PG2d subgroup is the presence of indole-3-acetic acid (IAA) synthesis genes (iaaM and iaaH). Furthermore, this subgroup displayed a marked increase in ancestral gene gain and loss events, indicating extensive remodeling of the shell genome and supporting a model of lineage-specific adaptive evolution. We also identified lineage-specific orthogroups, structural variants of the T-PAI pathogenicity island, and a differential distribution of Hop-type effector proteins. Furthermore, an extended copper resistance operon (cop and cus systems) was detected in a subset of strains, and a dominant lineage was found to have a dual i1-type of T6SS system. These findings highlight the local diversification of Pss in Chile, likely driven by agro-environmental pressures. This study provides crucial insights into the evolution, adaptation, and pathogenic potential of this important pathogen in a crop of high strategic value.
Prunus rootstock belonging to subgenera Amygdalus (peach), Prunus (plum) and Cerasus (cherry) are either from the same species as the scion or another one. The number of inter-species (including inter-subgenera) hybrids have increased as a result of efforts to broaden the genetic basis for biotic and abiotic resistance/tolerance. Identifying genes associated with important traits and responses requires expression analysis. Relative quantification is the simplest and most popular alternative, which requires reference genes (housekeeping) to normalize RT-qPCR data. However, there is a scarcity of validated housekeeping genes for hybrid Prunus rootstock species. This research aims to increase the number of housekeeping genes suitable for Prunus rootstock expression analysis. Twenty-one candidate housekeeping genes were pre-selected from previous RNAseq data that compared the response of root transcriptomes of two rootstocks subgenera to hypoxia treatment, ‘Mariana 2624’ ( P. cerasifera Ehrh.× P. munsoniana W. Wight & Hedrick), and ‘Mazzard F12/1’ ( P. avium L.). Representing groups of low, intermediate or high levels of expression, the genes were assayed by RT-qPCR at 72 hours of hypoxia treatment and analyzed with NormFinder software. A sub-set of seven housekeeping genes that presented the highest level of stability were selected, two with low levels of expression ( Unknown 3, Unknown 7 ) and five with medium levels ( GTB 1, TUA 3, ATPase P, PRT 6, RP II ). The stability of these genes was evaluated under different stress conditions, cold and heat with the hybrid ‘Mariana 2624’ and N nutrition with the hybrids ‘Colt’ ( P. avium × P. pseudocerasus Lindl.) and ‘Garnem’ [ P. dulcis Mill.× ( P. persica L.× P. davidiana Carr.)]. The algorithms of geNorm and BestKeeper software also were used to analyze the performance of these genes as housekeepers. Stability rankings varied according to treatments, genotypes and the software for evaluation, but the gene GBT 1 often had the highest ranking. However, most of the genes are suitable depending on the stressor and/or genotype to be evaluated. No optimal number of reference genes could be determined with geNorm software when all conditions and genotypes were considered. These results strongly suggest that relative RT-qPCR should be analyzed separately with their respective best housekeeper according to the treatment and/or genotypes in Prunus spp rootstocks.