An efficient method for developing SNP markers based on EST data combined with high resolution melting (HRM) analysis

Outcome of burn injury and associated factor among patient visited at Addis Ababa burn, emergency and trauma hospital: a two years hospital-based cross-sectional study

BACKGROUND

Burn is one of the critical health problems worldwide. Developing countries with sub-Saharan and Asian populations are affected more. Its mortality and non-fatal complications depend on several factors including age, sex, residency, cause, the extent of the burn, and time and level of care given.

OBJECTIVE

The purpose of this study was to assess the outcome of burn injury and its associated factor among patients who visited Addis Ababa burn emergency and trauma hospital.

METHODS

The institutional-based, retrospective cross-sectional study design was conducted from April 1, 2019, to March 30, 2021. After checking the data for its consistency the data were entered and analyzed by using SPSS version 25. A total of 241 patients who had visited Addis Ababa burn, emergency and trauma Hospitals after sustained burn injury were recruited through convenience sampling method for final analysis. Model goodness-of-fit was checked by Hosmer and Lemeshow test (0.272). After checking multi-collinearity both the bi-variable and multivariable logistic regression model was fitted and variables having a p-value less than or equal to 0.05 at 95% CI in the multivariable analysis were considered statistically significant.

RESULT

Adults (age 15 to 60 years) are the most affected groups accounting for 55.2% followed by pediatric age groups (age <15 years) (43.6%) and the elderly (age > 60 years) (1.2%). Scald burn was the major cause accounting for 39 % followed by Flame burn (33.6%), Electrical burn (26.6%), and chemical burn (0.8%). The mean TBSA% was 15.49%, ranging from1% to 64%. Adult males are more affected by electrical burns while adult females and the elderly encounter flame burn. 78.4% of patients were discharged without complications, 14.9% were discharged with complications and 6.6% died. The commonest long-term complication is the amputation of the extremity (19, 7.9%). Age greater than 60 years and TBSA% greater than 30% is a strong predictors of mortality with odds of 2.2 at 95% CI of [1.32, 3.69] and 8.7 at 95% CI of [1.33, 57.32] respectively.

CONCLUSION AND RECOMMENDATION

The mortality rate show decrement from previous studies. Overall scald burn is common in all age groups but electrical burns and flame burns affected more adult and elderly age groups. Extremities were by far, the commonest affected body parts. The extent of burn injury and the age of the patient independently predict mortality. Early intervention will reduce mortality and complications.

Combined Use of Molecular Markers and High-Resolution Melting (HRM) to Assess Chromosome Dosage in Potato Hybrids

In plants, the most widely used cytological techniques to assess parental genome contributions are based on in situ hybridization (FISH and GISH), but they are time-consuming and need specific expertise and equipment. Recent advances in genomics and molecular biology have made PCR-based markers a straightforward, affordable technique for chromosome typing. Here, we describe the development of a molecular assay that uses single-copy conserved ortholog set II (COSII)-based single nucleotide polymorphisms (SNPs) and the high-resolution melting (HRM) technique to assess the chromosome dosage of interspecific hybrids between a Solanum phureja-S. tuberosum diploid (2n = 2x = 24) hybrid and its wild relative S. commersonii. Screening and analysis of 45 COSII marker sequences allowed S. commersonii-specific SNPs to be identified for all 12 chromosomes. Combining the HRM technique with the establishment of synthetic DNA hybrids, SNP markers were successfully used to predict the expected parental chromosome ratio of 5 interspecific triploid hybrids. These results demonstrate the ability of this strategy to distinguish diverged genomes from each other, and to estimate chromosome dosage. The method could potentially be applied to any species as a tool to assess paternal to maternal ratios in the framework of a breeding program or following transformation techniques.

Discovery and validation of genic single nucleotide polymorphisms in the Pacific oyster Crassostrea gigas

The economic and ecological importance of the oyster necessitates further research on the molecular mechanisms, which both regulate the commercially important traits of the oyster and help it to survive in the variable marine environment. Single nucleotide polymorphisms (SNPs) have been widely used to assess genetic variation and identify genes underlying target traits. In addition, high-resolution melting (HRM) analysis is a potentially powerful method for validating candidate SNPs. In this study, we adopted a rapid and efficient pipeline for the screening and validation of SNPs in the genic region of Crassostrea gigas based on transcriptome sequencing and HRM analysis. Transcriptomes of three wild oyster populations were sequenced using Illumina sequencing technology. In total, 50-60 million short reads, corresponding to 4.5-5.4 Gbp, from each population were aligned to the oyster genome, and 5.8 × 10(5) SNPs were putatively identified, resulting in a predicted SNP every 47 nucleotides on average. The putative SNPs were unevenly distributed in the genome and high-density (≥2%), nonsynonymous coding SNPs were enriched in genes related to apoptosis and responses to biotic stimuli. Subsequently, 1,671 loci were detected by HRM analysis, accounting for 64.7% of the total selected candidate primers, and finally, 1,301 polymorphic SNP markers were developed based on HRM analysis. All of the validated SNPs were distributed into 897 genes and located in 672 scaffolds, and 275 of these genes were stress inducible under unfavourable salinity, temperature, and exposure to air and heavy metals. The validated SNPs in this study provide valuable molecular markers for genetic mapping and characterization of important traits in oysters.

Large-scale development of gene-associated single-nucleotide polymorphism markers for molluscan population genomic, comparative genomic, and genome-wide association studies

Mollusca is the second most diverse group of animals in the world. Despite their perceived importance, omics-level studies have seldom been applied to this group of animals largely due to a paucity of genomic resources. Here, we report the first large-scale gene-associated marker development and evaluation for a bivalve mollusc, Chlamys farreri. More than 21,000 putative single-nucleotide polymorphisms (SNPs) were identified from the C. farreri transcriptome. Primers and probes were designed and synthesized for 4500 SNPs, and 1492 polymorphic markers were successfully developed using a high-resolution melting genotyping platform. These markers are particularly suitable for population genomic analysis due to high polymorphism within and across populations, a low frequency of null alleles, and conformation to neutral expectations. Unexpectedly, high cross-species transferability was observed, suggesting that the transferable SNPs may largely represent ancestral genetic variations that have been preserved differentially among subfamilies of Pectinidae. Gene annotations were available for 73% of the markers, and 65% could be anchored to the recently released Pacific oyster genome. Large-scale association analysis revealed key candidate genes responsible for scallop growth regulation, and provided markers for further genetic improvement of C. farreri in breeding programmes.

SNP discovery and High Resolution Melting Analysis from massive transcriptome sequencing in the California red abalone Haliotis rufescens

The California red abalone, Haliotis rufescens that belongs to the Haliotidae family, is the largest species of abalone in the world that has sustained the major fishery and aquaculture production in the USA and Mexico. This native mollusk has not been evaluated or assigned a conservation category even though in the last few decades it was heavily exploited until it disappeared in some areas along the California coast. In Chile, the red abalone was introduced in the 1970s from California wild abalone stocks for the purposes of aquaculture. Considering the number of years that the red abalone has been cultivated in Chile crucial genetic information is scarce and critical issues remain unresolved. This study reports and validates novel single nucleotide polymorphisms (SNP) markers for the red abalone H. rufescens using cDNA pyrosequencing. A total of 622 high quality SNPs were identified in 146 sequences with an estimated frequency of 1 SNP each 1000bp. Forty-five SNPs markers with functional information for gene ontology were selected. Of these, 8 were polymorphic among the individuals screened: Heat shock protein 70 (HSP70), vitellogenin (VTG), lysin, alginate lyase enzyme (AL), Glucose-regulated protein 94 (GRP94), fructose-bisphosphate aldolase (FBA), sulfatase 1A precursor (S1AP) and ornithine decarboxylase antizyme (ODC). Two additional sequences were also identified with polymorphisms but no similarities with known proteins were achieved. To validate the putative SNP markers, High Resolution Melting Analysis (HRMA) was conducted in a wild and hatchery-bred population. Additionally, SNP cross-amplifications were tested in two further native abalone species, Haliotis fulgens and Haliotis corrugata. This study provides novel candidate genes that could be used to evaluate loss of genetic diversity due to hatchery selection or inbreeding effects.

The construction of a high-density linkage map for identifying SNP markers that are tightly linked to a nuclear-recessive major gene for male sterility in Cryptomeria japonica D. Don

BACKGROUND

High-density linkage maps facilitate the mapping of target genes and the construction of partial linkage maps around target loci to develop markers for marker-assisted selection (MAS). MAS is quite challenging in conifers because of their large, complex, and poorly-characterized genomes. Our goal was to construct a high-density linkage map to facilitate the identification of markers that are tightly linked to a major recessive male-sterile gene (ms1) for MAS in C. japonica, a species that is important in Japanese afforestation but which causes serious social pollinosis problems.

RESULTS

We constructed a high-density saturated genetic linkage map for C. japonica using expressed sequence-derived co-dominant single nucleotide polymorphism (SNP) markers, most of which were genotyped using the GoldenGate genotyping assay. A total of 1261 markers were assigned to 11 linkage groups with an observed map length of 1405.2 cM and a mean distance between two adjacent markers of 1.1 cM; the number of linkage groups matched the basic chromosome number in C. japonica. Using this map, we located ms1 on the 9th linkage group and constructed a partial linkage map around the ms1 locus. This enabled us to identify a marker (hrmSNP970_sf) that is closely linked to the ms1 gene, being separated from it by only 0.5 cM.

CONCLUSIONS

Using the high-density map, we located the ms1 gene on the 9th linkage group and constructed a partial linkage map around the ms1 locus. The map distance between the ms1 gene and the tightly linked marker was only 0.5 cM. The identification of markers that are tightly linked to the ms1 gene will facilitate the early selection of male-sterile trees, which should expedite C. japonica breeding programs aimed at alleviating pollinosis problems without harming productivity.

Multiplex real-time PCR and high-resolution melting analysis for detection of white spot syndrome virus, yellow-head virus, and Penaeus monodon densovirus in penaeid shrimp

A multiplex real-time PCR and high-resolution melting (HRM) analysis was developed to detect simultaneously three of the major viruses of penaeid shrimp including white spot syndrome virus (WSSV), yellow-head virus (YHV), and Penaeus monodon densovirus (PmDNV). Plasmids containing DNA/cDNA fragments of WSSV and YHV, and genomic DNAs of PmDNV and normal shrimp were used to test sensitivity of the procedure. Without the need of any probe, the products were identified by HRM analysis after real-time PCR amplification using three sets of viral specific primers. The results showed DNA melting curves that were specific for individual virus. No positive result was detected with nucleic acids from shrimp, Penaeus monodon nucleopolyhedrovirus (PemoNPV), Penaeus stylirostris densovirus (PstDNV), or Taura syndrome virus (TSV). The detection limit for PmDNV, YHV and WSSV DNAs were 40fg, 50fg, and 500fg, respectively, which was 10 times more sensitive than multiplex real-time PCR analyzed by agarose gel electrophoresis. In viral nucleic acid mixtures, HRM analysis clearly identified each virus in dual and triple infection. To test the capability to use this method in field, forty-one of field samples were examined by HRM analysis in comparison with agarose gel electrophoresis. For HRM analysis, 11 (26.83%), 9 (21.95%), and 4 (9.76%) were infected with WSSV, PmDNV, and YHV, respectively. Agarose gel electrophoresis detected lesser number of PmDNV infection which may due to the limit of sensitivity. No multiple infection was found in these samples. This method provides a rapid, sensitive, specific, and simultaneous detection of three major viruses making it as a useful tool for diagnosis and epidemiological studies of these viruses in shrimp and carriers.

De novo assembly and characterization of the carrot transcriptome reveals novel genes, new markers, and genetic diversity

Background

Among next generation sequence technologies, platforms such as Illumina and SOLiD produce short reads but with higher coverage and lower cost per sequenced nucleotide than 454 or Sanger. A challenge now is to develop efficient strategies to use short-read length platforms for de novo assembly and marker development. The scope of this study was to develop a de novo assembly of carrot ESTs from multiple genotypes using the Illumina platform, and to identify polymorphisms.

Results

A de novo assembly of transcriptome sequence from four genetic backgrounds produced 58,751 contigs and singletons. Over 50% of these assembled sequences were annotated allowing detection of transposable elements and new carrot anthocyanin genes. Presence of multiple genetic backgrounds in our assembly allowed the identification of 114 computationally polymorphic SSRs, and 20,058 SNPs at a depth of coverage of 20× or more. Polymorphisms were predominantly between inbred lines except for the cultivated x wild RIL pool which had high intra-sample polymorphism. About 90% and 88% of tested SSR and SNP primers amplified a product, of which 70% and 46%, respectively, were of the expected size. Out of verified SSR and SNP markers 84% and 82% were polymorphic. About 25% of SNPs genotyped were polymorphic in two diverse mapping populations.

Conclusions

This study confirmed the potential of short read platforms for de novo EST assembly and identification of genetic polymorphisms in carrot. In addition we produced the first large-scale transcriptome of carrot, a species lacking genomic resources.

A cost-effective high-resolution melting approach using the EvaGreen dye for DNA polymorphism detection and genotyping in plants

High-resolution melting (HRM) analysis relies on the use of fluorescent dyes, such as LCGreen, ResoLight, and SYTO9, which bind in a saturated manner to the double-stranded DNAs. These dyes are expensive in use and may not be affordable when dealing with a large quantity of samples. EvaGreen is a much cheaper DNA helix intercalating dye and has been used in quantitative real-time polymerase chain reaction (PCR) and post-PCR DNA melt curve analysis. Here we report on the development of an EvaGreen-based HRM analysis and its performance, in comparison with the popular LCGreen-based HRM analysis, in detection of DNA polymorphism in plants. We found that various polymorphisms ranged from single nucleotide polymorphisms (SNPs) to Indels were equally detected by using EvaGreen- or LCGreen-based HRM. EvaGreen dye was sensitive enough in discovery of SNPs in fivefold pooled samples. Using this economical dye we successfully identified multiple novel mutant alleles of Gln1-3 gene, which produces a cytosolic glutamine synthetase isoenzyme (GS1), in a maize ethyl methanesulfonate (EMS)-mutagenized library, and genotyped rice mapping populations with SNP markers. The current results suggest that EvaGreen is a promising dye for HRM analysis for its ease to use and cost effectiveness.