Project description:Bombax ceiba is a beautiful and deciduous tree with important economic and ecological values. Here, we sequenced the intact mitochondrial genome (mitogenome) of B. ceiba on the PacBio sequencing platform (Pacific Biosciences, Menlo Park, CA). The mitogenome is 594,390 bp and is comprised of 35 protein-coding genes, two rRNA genes, and 25 tRNA genes. The phylogeny analysis suggested that B. ceiba was closely clustered with the genus Gossypium.
Project description:PREMISE OF THE STUDY:Bombax ceiba (Malvaceae), commonly known as silk cotton tree, is a multipurpose tree species of tropical forests. Novel expressed sequence tag-simple sequence repeat (EST-SSR) markers were developed and characterized for the species using transcriptome analysis. METHODS AND RESULTS:A total of 33 new EST-SSR markers were developed for B. ceiba, of which 13 showed polymorphisms across the 24 individuals from four distant populations tested in the study. The results showed that the number of alleles per polymorphic locus ranged from two to four, and the expected heterozygosity and observed heterozygosity per locus varied from 0.043 to 0.654 and from 0 to 0.609, respectively. CONCLUSIONS:These newly developed EST-SSR markers can be used in phylogeographic and population genetic studies to investigate the origin of B. ceiba populations. Furthermore, these EST-SSR markers could also greatly promote the development of molecular breeding studies pertaining to silk cotton tree.
Project description:BackgroundBombax ceiba L. (the red silk cotton tree) is a large deciduous tree that is distributed in tropical and sub-tropical Asia as well as northern Australia. It has great economic and ecological importance, with several applications in industry and traditional medicine in many Asian countries. To facilitate further utilization of this plant resource, we present here the draft genome sequence for B. ceiba.FindingsWe assembled a relatively intact genome of B. ceiba by using PacBio single-molecule sequencing and BioNano optical mapping technologies. The final draft genome is approximately 895 Mb long, with contig and scaffold N50 sizes of 1.0 Mb and 2.06 Mb, respectively.ConclusionsThe high-quality draft genome assembly of B. ceiba will be a valuable resource enabling further genetic improvement and more effective use of this tree species.
Project description:As a new source of natural fibers, the Bombax ceiba tree can provide thin, light, extremely soft and warm fiber material for the textile industry. Natural fibers are an ideal model system for studying cell growth and differentiation, but the molecular mechanisms that regulate fiber initiation are not fully understood. In B. ceiba, we found that fiber cells differentiate from the epidermis of the inner ovary wall. Each initiated cell then divides into a cluster of fiber cells that eventually develop into mature fibers, a process very different from the classical fiber initiation process of cotton. We used high-throughput single-cell RNA sequencing (scRNA-seq) to examine the special characteristics of fiber initiation in B. ceiba. A total of 15 567 high-quality cells were identified from the inner wall of the B. ceiba ovary, and 347 potential marker genes for fiber initiation cell types were identified. Two major cell types, initiated fiber cells and epidermal cells, were identified and verified by RNA in situ hybridization. A developmental trajectory analysis was used to reconstruct the process of fiber cell differentiation in B. ceiba. Comparative analysis of scRNA-seq data from B. ceiba and cotton (Gossypium hirsutum) confirmed that the additional cell division process in B. ceiba is a novel species-specific mechanism for fiber cell development. Candidate genes and key regulators that may contribute to fiber cell differentiation and division in B. ceiba were identified. This work reveals gene expression signatures during B. ceiba fiber initiation at a single-cell resolution, providing a new strategy and viewpoint for investigation of natural fiber cell differentiation and development.