Development of a genetic linkage map and identification of homologous linkage groups in sweetpotato using multiple-dose AFLP markers

Sweetpotato genomic research is minimal compared to most other major crops despite its worldwide importance as a food crop. The development of a genetic linkage map in sweetpotato will provide valuable information about the genomic organization of this important species that can be used by breeders to accelerate the introgression of desired traits into breeding lines. We developed a mapping population consisting of 240 individuals of a cross between ‘Tanzania’, a cream-fleshed African landrace, and ‘Beauregard’, an orange-fleshed US sweetpotato cultivar. The genetic linkage map of this population was constructed using Amplified Fragment Length Polymorphism (AFLP) markers. A total of 1944 (‘Tanzania’) and 1751 (‘Beauregard’) AFLP markers, of which 1511 and 1303 were single-dose markers respectively, were scored. Framework maps consisting of 86 and 90 linkage groups for ‘Tanzania’ and ‘Beauregard’ respectively, were developed using a combination of JoinMap 3.0 and MAPMAKER/EXP 3.0. A total of 947 single-dose markers were placed in the final framework linkage map for ‘Tanzania’. The linkage map size was estimated as 5792 cM, with an average distance between markers of 4.5 cM. A total of 726 single-dose markers were placed in the final framework map for ‘Beauregard’. The linkage map length was estimated as 5276 cM, with an average distance between markers of 4.8 cM. Duplex and triple-dose markers were used to identify the corresponding homologous groups in the maps. Our research supports the hypothesis that sweetpotato is an autopolyploid. Distorted segregation in some markers of different dosages in this study suggests that some preferential pairing occurs in sweetpotato. However, strict allopolyploid inheritance in sweetpotato can be ruled out due to the observed segregation ratios of the markers, and the proportion of simplex to multiple-dose markers. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. This paper is a portion of a dissertation submitted by Jim C. Cervantes-Flores.     

A genetic linkage map of sweetpotato [Ipomoea batatas (L.) Lam.] based on AFLP markers

Amplified Fragment Length Polymorphism (AFLP) based genetic linkage maps were developed for hexaploid sweetpotato (Ipomoea batatas (L.) Lam., 2n = 6x = 90) using a segregating population derived from a biparental cross between the cultivars 'Tanzania' and 'Bikilamaliya'. A total of 632 ('Tanzania') and 435 ('Bikilamaliya') AFLPs could be ordered in 90 and 80 linkage groups, respectively. Total map lengths were 3655.6 cM and 3011.5 cM, respectively, with an average distance of 5.8 cM between adjacent markers. The genetic linkage analysis was performed in two steps. First a framework map was elaborated from the single dose markers. Interspersed duplex and double-simplex markers were used to detect homologous groups within and corresponding linkage groups among the parental maps. The type of polyploidy (autopolyploidy vs. allopolyploidy) was examined using the ratio of linkage in coupling phase to linkage in repulsion phase and the ratio of non-simplex to simplex markers. Our data support the predominance of polysomic inheritance with some degree of preferential pairing.     

The stem cell signature of CHH/CHG methylation is not present in 271 cancer associated 5′UTR gene regions

Non-CpG methylation is frequently present in stem cell DNA. We investigated the value of this epigenetic modification in cancerous DNA in order to establish the implications of CHH/CHG methylation for biomarker development. Therefore we used the restriction enzymes BstNI and PspGI within a combined multiplex PCR and targeted microarray approach for the elucidation of non-CpG (CCWGG) methylation. Targeting 544 CCWGG sites in 271 5′ gene regions, the CHH/CHG methylation status of the MCF7 breast cancer cell line and blood from healthy volunteers and childhood ALL was analyzed. Statistical analysis of microarray data and subsequent SYBR green based qPCR on DNA digests was applied to confirm the results from the microarray screen.     

MutAid: Sanger and NGS Based Integrated Pipeline for Mutation Identification,Validation and Annotation in Human Molecular Genetics

Traditional Sanger sequencing as well as Next-Generation Sequencing have been used for the identification of disease causing mutations in human molecular research. The majority of currently available tools are developed for research and explorative purposes and often do not provide a complete, efficient, one-stop solution. As the focus of currently developed tools is mainly on NGS data analysis, no integrative solution for the analysis of Sanger data is provided and consequently a one-stop solution to analyze reads from both sequencing platforms is not available. We have therefore developed a new pipeline called MutAid to analyze and interpret raw sequencing data produced by Sanger or several NGS sequencing platforms. It performs format conversion, base calling, quality trimming, filtering, read mapping, variant calling, variant annotation and analysis of Sanger and NGS data under a single platform. It is capable of analyzing reads from multiple patients in a single run to create a list of potential disease causing base substitutions as well as insertions and deletions. MutAid has been developed for expert and non-expert users and supports four sequencing platforms including Sanger, Illumina, 454 and Ion Torrent. Furthermore, for NGS data analysis, five read mappers including BWA, TMAP, Bowtie, Bowtie2 and GSNAP and four variant callers including GATK-HaplotypeCaller, SAMTOOLS, Freebayes and VarScan2 pipelines are supported. MutAid is freely available at https://sourceforge.net/projects/mutaid.     

Identification of human pathogens isolated from blood using microarray hybridisation and signal pattern recognition

Background  

Pathogen identification in clinical routine is based on the cultivation of microbes with subsequent morphological and physiological characterisation lasting at least 24 hours. However, early and accurate identification is a crucial requisite for fast and optimally targeted antimicrobial treatment. Molecular biology based techniques allow fast identification, however discrimination of very closely related species remains still difficult.     

Nothing Special in the Specialist? Draft Genome Sequence of Cryomyces antarcticus,the Most Extremophilic Fungus from Antarctica

The draft genome of the Antarctic endemic fungus Cryomyces antarcticus is presented. This rock inhabiting, microcolonial fungus is extremely stress tolerant and it is a model organism for exobiology and studies on stress resistance in Eukaryots. Since this fungus is a specialist in the most extreme environment of the Earth, the analysis of its genome is of important value for the understanding of fungal genome evolution and stress adaptation. A comparison with Neurospora crassa as well as with other microcolonial fungi shows that the fungus has a genome size of 24 Mbp, which is the average in the fungal kingdom. Although sexual reproduction was never observed in this fungus, 34 mating genes are present with protein homologs in the classes Eurotiomycetes, Sordariomycetes and Dothideomycetes. The first analysis of the draft genome did not reveal any significant deviations of this genome from comparative species and mesophilic hyphomycetes.