Comparative analysis of expressed sequence tags (ESTs) from Triticum monococcum shoot apical meristem at vegetative and reproductive stages

Triticum monococcum has recently drawn the attention of biologists to discover and utilize novel genes and alleles. To explore the molecular features of the genetic network governing floral transition in shoot apical meristem (SAM) of spring growth habit T. monococcum, two expressed sequence tag (EST) libraries containing 3,031 ESTs from vegetative SAM (VS) and 2,647 ESTs from early reproductive SAM (RS) were analyzed. Assembly of ESTs resulted in 2,303 unigenes for VS library (368 contigs and 1,935 singletons) and 1,890 unigenes (337 contigs and 1,553 singletons) for RS library. The 67.05 % of VS unigenes and 66.30 % of RS unigenes showed significant similarity with genes of known, putative and or unknown function, whereas the remaining 32.95 % of the VS unigenes and 33.7 % of RS unigenes displayed no significant match with the public protein database. The 1,064 and 866 unigenes of VS and RS libraries were assigned to functional categories using Pageman ontology tool. Further analysis revealed that the switch from VS to RS caused significant changes in the abundance of unigenes assigned to some functional categories. A total of 37 genes were identified which were significantly differentially expressed between vegetative and reproductive stages of T. monococcum SAM. Investigation of the differentially expressed genes revealed the importance of the genes involved in energy metabolism, ubiquitin/26S proteasome system, polyamines biosynthesis and signaling of reactive oxygen species in SAM differentiation towards floral transition in T. monococcum.     

Use of an expressed sequence tag-based method for single nucleotide polymorphism identification and discrimination of Citrus species and cultivars

Sweet orange [Citrus sinensis (L.) Osbeck] represents the most important Citrus species, followed by clementine (C. clementina Hort. ex Tan.). Citrus species and genotypes are difficult to recognize as they have a moderate level of diversity due to nucellar selection, vegetative propagation and origin by single spontaneous mutation. Despite the large number of available sequences and the existence of a draft assembly of sweet orange and clementine, there are currently no single nucleotide polymorphism (SNP) databases for Citrus species. For this purpose, the QualitySNP software was used to discover SNPs in 19 Citrus species starting from 540,000 expressed sequence tags (ESTs) assembled in 52,000 contigs. The vast majority of ESTs, contigs and SNPs were found in C. clementina and C. sinensis: 4,400 out of 16,000 contigs (27 %) of C. clementina and 4,100 out of 17,000 contigs (24 %) of C. sinensis contained putative SNPs. A total of 3,634 sequences were associated with enzymes belonging to 121 metabolic KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways, among which the secondary metabolite pathway was the most represented. A total of 163 SNPs from 52 contigs and genes of specific functional categories were validated and 81 polymorphic sites were found. Thirty-seven selected SNPs, validated by Sanger sequencing, confirmed that polymorphisms were mainly between species, while poor within-species variability was discovered. This work provides a collection of 15,879 putative SNP markers that could be exploited by the Citrus community. Furthermore, the validated SNPs associated with specific genes could be used for functional genetic studies in germplasm diversity analysis, mapping and breeding.