A novel method for identifying polymorphic transposable elements via scanning of high-throughput short reads

Genotyping strategies for tissues fixed with various embalming fluids for human identification, databasing, and traceability

Within anatomical willed body programs and skeletal collections, whole bodies and their disassociated limbs and organs are identified and tracked. However, if these tracking mechanisms fail, DNA recovered from the formalin-fixed tissues/organs could provide an additional layer of quality assurance. Embalming fluids preserve biological tissues; however, they also damage, fragment, and cross-link DNA and protein molecules. This project investigated the success of STR-typing from various soft tissue and bone samples that were fixed with embalming solutions with a range of formaldehyde concentrations. Formalin-fixed samples dissected from five cadavers, including skin, muscle, bone, heart, and kidney were used in Phase 1 of this study. In Phase 2, an additional 57 tissue samples from various embalmed organs and body parts were collected to demonstrate long-term fixation and direct applicability within a body donor program. DNA was extracted from the samples using the QIAamp® FFPE Tissue Kit (QIAGEN), quantified with the Investigator® QuantiPlex® Pro RGQ qPCR Kit (QIAGEN), and amplified using the Investigator® 24plex and 26plex QS Kits and the Investigator® DIPplex Kit (QIAGEN). The results show the DNA was severely damaged, degraded, and often in low amounts (after one year post-embalming). Sampling from skin and muscle tissues embalmed with ~2.5%-5% formaldehyde solutions appears to be the best strategy for identification, while also maintaining the preservation of the tissues. The results of this project can provide informative data when determining which genotyping strategy may be best suited for the identification, re-association, and establishment of a database for the provenance of formalin-fixed human remains.

Identification of two novel rice S genes through combination of association and transcription analyses with gene-editing technology

Traditional rice blast resistance breeding largely depends on utilizing typical resistance (R) genes. However, the lack of durable R genes has prompted rice breeders to find new resistance resources. Susceptibility (S) genes are potential new targets for resistance genetic engineering using genome-editing technologies, but identifying them is still challenging. Here, through the integration of genome-wide association study (GWAS) and transcriptional analysis, we identified two genes, RNG1 and RNG3, whose polymorphisms in 3'-untranslated regions (3'-UTR) affected their expression variations. These polymorphisms could serve as molecular markers to identify rice blast-resistant accessions. Editing the 3'-UTRs using CRISPR/Cas9 technology affected the expression levels of two genes, which were positively associated with rice blast susceptibility. Knocking out either RNG1 or RNG3 in rice enhanced the rice blast and bacterial blight resistance, without impacting critical agronomic traits. RNG1 and RNG3 have two major genotypes in diverse rice germplasms. The frequency of the resistance genotype of these two genes significantly increased from landrace rice to modern cultivars. The obvious selective sweep flanking RNG3 suggested it has been artificially selected in modern rice breeding. These results provide new targets for S gene identification and open avenues for developing novel rice blast-resistant materials.

Chromosome-scale genome assembly of a Japanese chili pepper landrace, Capsicum annuum 'Takanotsume'

Here, we report the genome sequence of a popular Japanese chili pepper landrace, Capsicum annuum 'Takanotsume'. We used long-read sequencing and optical mapping, together with the genetic mapping technique, to obtain the chromosome-scale genome assembly of 'Takanotsume'. The assembly consists of 12 pseudomolecules, which corresponds to the basic chromosome number of C. annuum, and is 3,058.5 Mb in size, spanning 97.0% of the estimated genome size. A total of 34,324 high-confidence genes were predicted in the genome, and 83.4% of the genome assembly was occupied by repetitive sequences. Comparative genomics of linked-read sequencing-derived de novo genome assemblies of two Capsicum chinense lines and whole-genome resequencing analysis of Capsicum species revealed not only nucleotide sequence variations but also genome structure variations (i.e. chromosomal rearrangements and transposon-insertion polymorphisms) between 'Takanotsume' and its relatives. Overall, the genome sequence data generated in this study will accelerate the pan-genomics and breeding of Capsicum, and facilitate the dissection of genetic mechanisms underlying the agronomically important traits of 'Takanotsume'.

Transposable Elements Contribute to Genome Dynamics and Gene Expression Variation in the Fungal Plant Pathogen Verticillium dahliae

Transposable elements (TEs) are a major source of genetic and regulatory variation in their host genome and are consequently thought to play important roles in evolution. Many fungal and oomycete plant pathogens have evolved dynamic and TE-rich genomic regions containing genes that are implicated in host colonization and adaptation. TEs embedded in these regions have typically been thought to accelerate the evolution of these genomic compartments, but little is known about their dynamics in strains that harbor them. Here, we used whole-genome sequencing data of 42 strains of the fungal plant pathogen Verticillium dahliae to systematically identify polymorphic TEs that may be implicated in genomic as well as in gene expression variation. We identified 2,523 TE polymorphisms and characterize a subset of 8% of the TEs as polymorphic elements that are evolutionary younger, less methylated, and more highly expressed when compared with the remaining 92% of the total TE complement. As expected, the polyrmorphic TEs are enriched in the adaptive genomic regions. Besides, we observed an association of polymorphic TEs with pathogenicity-related genes that localize nearby and that display high expression levels. Collectively, our analyses demonstrate that TE dynamics in V. dahliae contributes to genomic variation, correlates with expression of pathogenicity-related genes, and potentially impacts the evolution of adaptive genomic regions.

Miniature inverted-repeat transposable elements (MITEs), derived insertional polymorphism as a tool of marker systems for molecular plant breeding

Plant molecular breeding is expected to give significant gains in cultivar development through development and utilization of suitable molecular marker systems for genetic diversity analysis, rapid DNA fingerprinting, identification of true hybrids, trait mapping and marker-assisted selection. Transposable elements (TEs) are the most abundant component in a genome and being used as genetic markers in the plant molecular breeding. Here, we review on the high copious transposable element belonging to class-II DNA TEs called "miniature inverted-repeat transposable elements" (MITEs). MITEs are ubiquitous, short and non-autonomous DNA transposable elements which have a tendency to insert into genes and genic regions have paved a way for the development of functional DNA marker systems in plant genomes. This review summarises the characteristics of MITEs, principles and methodologies for development of MITEs based DNA markers, bioinformatics tools and resources for plant MITE discovery and their utilization in crop improvement.

Developing Transposable Element Marker System for Molecular Breeding

Transposable element (TE) marker system was developed considering the useful properties of the transposable elements such as their large number in the animal and plant genomes, high rate of insertion polymorphism, and ease of detection. Various methods have been employed for developing a large number of TE markers in several crop plants for genomics studies. Here we describe some of these methods including the recent whole genome search. We also review the application of TE markers in molecular breeding.

Generic Repeat Finder: A High-Sensitivity Tool for Genome-Wide De Novo Repeat Detection

Comprehensive and accurate annotation of the repeatome, including transposons, is critical for deepening our understanding of repeat origins, biogenesis, regulatory mechanisms, and roles. Here, we developed Generic Repeat Finder (GRF), a tool for genome-wide repeat detection based on fast, exhaustive numerical calculation algorithms integrated with optimized dynamic programming strategies. GRF sensitively identifies terminal inverted repeats (TIRs), terminal direct repeats (TDRs), and interspersed repeats that bear both inverted and direct repeats. GRF also detects DNA or RNA transposable elements characterized by these repeats in plant and animal genomes. For TIRs and TDRs, GRF identifies spacers in the middle and mismatches/insertions or deletions in terminal repeats, showing their alignment or base-pairing information. GRF helps improve the annotation for various DNA transposons and retrotransposons, such as miniature inverted-repeat transposable elements (MITEs), long terminal repeat (LTR) retrotransposons, and non-LTR retrotransposons, including long interspersed nuclear elements and short interspersed nuclear elements in plants. We used GRF to perform TIR/TDR, interspersed-repeat, and MITE detection in several species, including Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa), and mouse (Mus musculus). As a generic bioinformatics tool in repeat finding implemented as a parallelized C++ program, GRF was faster and more sensitive than the existing inverted repeat/MITE detection tools based on numerical approaches (i.e. detectIR and detectMITE) in Arabidopsis and mouse. GRF is more sensitive than Inverted Repeat Finder in TIR detection, LTR_FINDER in short TDR detection (≤1,000 nt), and phRAIDER in interspersed repeat detection in Arabidopsis and rice. GRF is an open source available from Github.

Identification of an active miniature inverted-repeat transposable element mJing in rice

Miniature inverted-repeat transposable elements (MITEs) are structurally homogeneous non-autonomous DNA transposons with high copy numbers that play important roles in genome evolution and diversification. Here, we analyzed the rice high-tillering dwarf (htd) mutant in an advanced backcross population between cultivated and wild rice, and identified an active MITE named miniature Jing (mJing). The mJing element belongs to the PIF/Harbinger superfamily. japonica rice var. Nipponbare and indica var. 93-11 harbor 72 and 79 mJing family members, respectively, have undergone multiple rounds of amplification bursts during the evolution of Asian cultivated rice (Oryza sativa L.). A heterologous transposition experiment in Arabidopsis thaliana indicated that the autonomous element Jing is likely to have provides the transposase needed for mJing mobilization. We identified 297 mJing insertion sites and their presence/absence polymorphism among 71 rice samples through targeted high-throughput sequencing. The results showed that the copy number of mJing varies dramatically among Asian cultivated rice (O. sativa), its wild ancestor (O. rufipogon), and African cultivated rice (O. glaberrima) and that some mJing insertions are subject to directional selection. These findings suggest that the amplification and removal of mJing elements have played an important role in rice genome evolution and species diversification.

iMGEins: detecting novel mobile genetic elements inserted in individual genomes

Background

Recent advances in sequencing technology have allowed us to investigate personal genomes to find structural variations, which have been studied extensively to identify their association with the physiology of diseases such as cancer. In particular, mobile genetic elements (MGEs) are one of the major constituents of the human genomes, and cause genome instability by insertion, mutation, and rearrangement.

Result

We have developed a new program, iMGEins, to identify such novel MGEs by using sequencing reads of individual genomes, and to explore the breakpoints with the supporting reads and MGEs detected. iMGEins is the first MGE detection program that integrates three algorithmic components: discordant read-pair mapping, split-read mapping, and insertion sequence assembly. Our evaluation results showed its outstanding performance in detecting novel MGEs from simulated genomes, as well as real personal genomes. In detail, the average recall and precision rates of iMGEins are 96.67 and 100%, respectively, which are the highest among the programs compared. In the testing with real human genomes of the NA12878 sample, iMGEins shows the highest accuracy in detecting MGEs within 20 bp proximity of the breakpoints annotated.

Conclusion

In order to study the dynamics of MGEs in individual genomes, iMGEins was developed to accurately detect breakpoints and report inserted MGEs. Compared with other programs, iMGEins has valuable features of identifying novel MGEs and assembling the MGEs inserted.

Electronic supplementary material

The online version of this article (10.1186/s12864-018-5290-9) contains supplementary material, which is available to authorized users.

Development of AhMITE1 markers through genome-wide analysis in peanut (Arachis hypogaea L.)

OBJECTIVE

In peanut, the DNA polymorphism is very low despite enormous phenotypic variations. This limits the use of genomics-assisted breeding to enhance peanut productivity. This study aimed to develop and validate new AhMITE1 and cleaved amplified polymorphic sequences (CAPS) markers.

RESULTS

In total, 2957 new AhMITE1 markers were developed in addition to identifying 465 already reported markers from the whole genome re-sequencing data (WGRS) of 33 diverse genotypes of peanut. The B sub-genome (1620) showed more number of markers than the A sub-genome (1337). Distribution also varied among the chromosomes of both the sub-genomes. Further, 52.6% of the markers were from genic regions; where 31.0% were from intronic regions and 5.2% were from exonic regions. Of the 343 randomly selected markers, 82.2% showed amplification validation, with up to 35.5% polymorphism. From the SNPs on the A03, B01, B02 and B03 chromosomes, 11,730 snip-SNPs (potential CAPS sites) were identified, and 500 CAPS markers were developed from chromosome A03. Of these markers, 30.0% showed validation and high polymorphism. This study demonstrated the potential of the WGRS data to develop AhMITE1 and CAPS markers, which showed high level of validation and polymorphism. These marker resources will be useful for various genetic studies and mapping in peanut.