Watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai] is an economically important crop with an attractive ripe fruit that has colorful flesh. Fruit ripening is a complex, genetically programmed process. In this study, a comparative transcriptome analysis was performed to identify the regulators and pathways that are involved in the fruit ripening of pale-yellow-flesh cultivated watermelon (COS) and red-flesh cultivated watermelon (LSW177). We first identified 797 novel genes to extend the available reference gene set. Second, 3958 genes in COS and 3503 genes in LSW177 showed at least two-fold variation in expression, and a large number of these differentially expressed genes (DEGs) during fruit ripening were related to carotenoid biosynthesis, plant hormone pathways, and sugar and cell wall metabolism. Third, we noted a correlation between ripening-associated transcripts and metabolites and the key function of these metabolic pathways during fruit ripening. The results revealed several ripening-associated actions and provide novel insights into the molecular mechanisms underlying the regulation of watermelon fruit ripening.

Cleaved amplified polymorphic sequence (CAPS) markers are useful tools for detecting single nucleotide polymorphisms (SNPs). This study detected and converted SNP sites into CAPS markers based on high-throughput re-sequencing data in watermelon, for linkage map construction and quantitative trait locus (QTL) analysis. Two inbred lines, Cream of Saskatchewan (COS) and LSW-177 had been re-sequenced and analyzed by Perl self-compiled script for CAPS marker development. 88.7% and 78.5% of the assembled sequences of the two parental materials could map to the reference watermelon genome, respectively. Comparative assembled genome data analysis provided 225,693 and 19,268 SNPs and indels between the two materials. 532 pairs of CAPS markers were designed with 16 restriction enzymes, among which 271 pairs of primers gave distinct bands of the expected length and polymorphic bands, via PCR and enzyme digestion, with a polymorphic rate of 50.94%. Using the new CAPS markers, an initial CAPS-based genetic linkage map was constructed with the F2 population, spanning 1836.51 cM with 11 linkage groups and 301 markers. 12 QTLs were detected related to fruit flesh color, length, width, shape index, and brix content. These newly CAPS markers will be a valuable resource for breeding programs and genetic studies of watermelon.

Aroideae is an important subfamily of the Araceae family and contains many plants with medicinal and edible value. It is difficult to identify and classify Aroideae species accurately on the basis of morphology alone because of their polymorphic phenotypic traits. The chloroplast genome (CPG) is useful for studying on plant taxonomy and phylogeny, and the analysis of codon usage bias (CUB) in CPGs provides further insights into the intricate phylogenetic relationships among Aroideae. The results showed that the codon third position of the chloroplast genome coding sequence in Aroideae was rich in A and T, with a GC content of 37.91%. The ENC-plot and PR2-plot revealed that the codon usage bias of Aroideae was influenced by multiple factors, with natural selection as the dominant factor. Thirteen to twenty optimal codons ending in A/T were identified in 61 Aroideae species. Additionally, the comparative analysis of CPGs revealed that two single copy regions and non-coding regions were variable in Aroideae. Eight highly divergent regions (Pi > 0.064) were identified (ndhF, rpl32, ccsA, ndhE, ndhG, ndhF-rpl32, ccsA-ndhD, and ndhE-ndhG) , in which ndhE have the potential to serve as a reliable DNA marker to discriminate chloroplasts in Aroideae subfamily. Furthermore, the maximum likelihood-based phylogenetic trees constructed from complete chloroplast genomes and protein-coding sequences presented similar topologies. Principal component clustering analysis based on relative synonymous codon usage values (RSCUs) revealed that Calla was clearly deviated from Montrichardia and Anubias, and that Alocasia was closer to Colocasieae than to Arisaemateae. These findings suggest that the use of RSCU for clustering analysis could offer new theoretical support for species classification and evolution. Our research could provide a theoretical foundation for the chloroplast genetic engineering, taxonomy, and phylogenetic relationships of Aroideae chloroplasts.

Background: Colocasia gigantea,Caladium bicolorandXanthosoma sagittifoliumare three worldwide famous ornamental and/or vegetable plants in the Araceae family, these species in the subfamily Aroideae are phylogenetically perplexing due to shared interspecific morphological traits and variation.Result: This study, for the first time ever, assembled and analyzed complete chloroplast genomes ofC. gigantea,C. bicolorandX. sagittifoliumwith genome sizes of 165,906 bp, 153,149 bp and 165,169 bp in length, respectively. The genomes were composed of conserved quadripartite circular structures with a total of 131 annotated genes, including 8 rRNA, 37 tRNA and 86 protein-coding genes. A comparison within Aroideae showed seven protein-coding genes (accD,ndhF,ndhK,rbcL,rpoC1,rpoC2andmatK) linked to environmental adaptation. Phylogenetic analysis confirmed a close relationship ofC. giganteawithC. esculentaandS. colocasiifolia, and theC. bicolorwithX. sagittifolium.Furthermore, three DNA barcodes (atpH-atpI + psaC-ndhE,atpH-atpI + trnS-trnG,atpH-atpI + psaC-ndhE + trnS-trnG) harbored highly variable regions to distinguish species in Aroideae subfamily.Conclusion: These results would be beneficial for species identification, phylogenetic relationship, genetic diversity, and potential of germplasm resources in Aroideae.