SVachra: a tool to identify genomic structural variation in mate pair sequencing data containing inward and outward facing reads

In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants

Studies have demonstrated that structural variants (SV) play a substantial role in the evolution of species and have an impact on Mendelian traits in the genome. However, unlike small variants (< 50 bp), it has been challenging to accurately identify and genotype SV at the population scale using short-read sequencing. Long-read sequencing technologies are becoming competitively priced and can address several of the disadvantages of short-read sequencing for the discovery and genotyping of SV. In livestock species, analysis of SV at the population scale still faces challenges due to the lack of resources, high costs, technological barriers, and computational limitations. In this review, we summarize recent progress in the characterization of SV in the major livestock species, the obstacles that still need to be overcome, as well as the future directions in this growing field. It seems timely that research communities pool resources to build global population-scale long-read sequencing consortiums for the major livestock species for which the application of genomic tools has become cost-effective.

Mate Pair Sequencing: Next-Generation Sequencing for Structural Variant Detection

Structural variant detection by next-generation sequencing (NGS) methods have a higher molecular resolution than conventional cytogenetic techniques (Aypar et al., Eur J Haematol 102(1):87-96, 2019; Smadbeck et al., Blood Cancer J 9(12):103, 2019) and are particularly helpful in characterizing genomic rearrangements. Mate pair sequencing (MPseq) leverages a unique library preparation chemistry involving circularization of long DNA fragments, allowing for a unique application of paired-end sequencing of reads that are expected to map 2-5 kb apart in the genome. The unique orientation of the reads allows the user to estimate the location of breakpoints involved in a structural variant either within the sequenced reads or between the two reads. The precision of structural variant and copy number detection by this method allows for characterization of cryptic and complex rearrangements that may be otherwise undetectable by conventional cytogenetic methods (Singh et al., Leuk Lymphoma 60(5):1304-1307, 2019; Peterson et al., Blood Adv 3(8):1298-1302, 2019; Schultz et al., Leuk Lymphoma 61(4):975-978, 2020; Peterson et al., Mol Case Studies 5(2), 2019; Peterson et al., Mol Case Studies 5(3), 2019).

Current status of structural variation studies in plants

Structural variations (SVs) including gene presence/absence variations and copy number variations are a common feature of genomes in plants and, together with single nucleotide polymorphisms and epigenetic differences, are responsible for the heritable phenotypic diversity observed within and between species. Understanding the contribution of SVs to plant phenotypic variation is important for plant breeders to assist in producing improved varieties. The low resolution of early genetic technologies and inefficient methods have previously limited our understanding of SVs in plants. However, with the rapid expansion in genomic technologies, it is possible to assess SVs with an ever-greater resolution and accuracy. Here, we review the current status of SV studies in plants, examine the roles that SVs play in phenotypic traits, compare current technologies and assess future challenges for SV studies.

The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics

In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. ICIBM 2016 included four workshops or tutorials, four keynote lectures, four conference invited talks, eight concurrent scientific sessions and a poster session for 53 accepted abstracts, covering current topics in bioinformatics, systems biology, intelligent computing, and biomedical informatics. Through our call for papers, a total of 77 original manuscripts were submitted to ICIBM 2016. After peer review, 11 articles were selected in this special issue, covering topics such as single cell RNA-seq analysis method, genome sequence and variation analysis, bioinformatics method for vaccine development, and cancer genomics.