Differential transcript profiling alters regulatory gene expression during the development of Gossypium arboreum, G.stocksii and somatic hybrids

Chromosome-level genome assembly and annotation of a potential model organism Gossypium arboreum ZB-1

Recent advancements in plant regeneration and synthetic polyploid creation have been documented in Gossypium arboreum ZB-1. These developments make ZB-1 a potential model within the Gossypium genus for investigating gene function and polyploidy. This work generated the sequence and annotation of the ZB-1 genome. The contig-level genome was constructed using the PacBio high-fidelity reads, encompassing 81 contigs with an N50 length of 112.12 Mb. The Hi-C data assisted the construction of the chromosome-level genome, which consists of 13 pseudo-chromosomes and 39 un-anchored contigs, with a total length of about 1.67 Gb. Repetitive sequences accounted for about 69.7% of the genome in length. Based on ab initio and evidence-based prediction, we have identified 48,021 protein-coding genes in the ZB-1 genome. Comparative genomics analysis revealed conserved gene content and arrangement between ZB-1 and G. arboreum SXY1. The single nucleotide polymorphism occurrence rate between ZB-1 and SXY1 was about 0.54 per 1,000 nucleotides. This study enriched the genomic resources for further exploration into cotton regeneration and polyploidy mechanisms.

CleanBSequences: an efficient curator of biological sequences in R

This work presents a new method and tool to solve a common problem of molecular biologists and geneticists who use molecular markers in their scientific research and developments: curation of sequences. Omic studies conducted by molecular biologists and geneticists usually involve the use of molecular markers. AFLP, cDNA-AFLP, and MSAP are examples of markers that render information at the genomics, transcriptomics, and epigenomics levels, respectively. These three types of molecular markers use adaptors that are the template for PCR amplification. The sequences of the adaptors have to be eliminated for the analysis of the results. Since a large number of sequences are usually obtained in these studies, this clean-up of the data could demand long time and work. To automate this work, an R package, named CleanBSequences, was created that allows the sequences to be curated massively, quickly, without errors and can be used offline. The curating is performed by aligning the forward and/or reverse primers or ends of cloning vectors with the sequences to be removed. After the alignment, new subsequences are generated without biological fragments not desired by the user, i.e., sequences needed by the techniques. In conclusion, the CleanBSequences tool facilitates the work of researchers, reducing time, effort, and working errors. Therefore, the present tool would respond to the problems related to the curation of sequences obtained from the use of some types of molecular markers. In addition to the above, being an open source, CleanBSequences is a flexible tool that has the potential to be used in future improvements to respond to new problems.