Genetic mapping with Allele Dosage Information in Tetraploid Urochloa decumbens (Stapf) R.D. Webster Reveals Insights into Spittlebug (Notozulia entreriana Berg) Resistance

Urochloa decumbens (Stapf) R.D. Webster is one of the most important African forage grasses in Brazilian beef production. Currently available genetic-genomic resources for this species are restricted mainly due to polyploidy and apomixis. Therefore, crucial genomic-molecular studies such as the construction of genetic maps and the mapping of quantitative trait loci (QTLs) are very challenging and consequently affect the advancement of molecular breeding. The objectives of this work were to (i) construct an integrated U. decumbens genetic map for a full-sibling progeny using GBS-based markers with allele dosage information, (ii) detect QTLs for spittlebug (Notozulia entreriana) resistance, and (iii) seek putative candidate genes involved in resistance/defense against pathogens. We used the Setaria viridis genome as reference to align GBS reads and selected 4,240 high-quality SNPs markers with allele dosage information. Of these markers, 1,000 were distributed throughout nine homologous groups with a cumulative map length of 1,335.09 cM and an average marker density of 1.33 cM. We detected QTLs for resistance to spittlebug, an important pasture insect pest, that explained between 4.66% and 6.24% of the phenotypic variation. These QTLs are in regions containing putative candidate genes related to resistance/defense against pathogens. Because this is the first genetic map with SNP autotetraploid dosage data and QTL detection in U. decumbens, it will be useful for future evolutionary studies, genome assembly, and other QTL analyses in Urochloa spp. Moreover, the results might facilitate the isolation of spittlebug-related candidate genes and help clarify the mechanism of spittlebug resistance. These approaches will improve selection efficiency and accuracy in U. decumbens molecular breeding and shorten the breeding cycle.

A SNP-Based Genetic Linkage Map of Soybean Using the SoySNP6K Illumina Infinium BeadChip Genotyping Array

This study reports a high density genetic linkage map based on the ‘Maryland 96-5722’ by ‘Spencer’ recombinant inbred line (RIL) population of soybean [Glycine max (L.) Merr.] and constructed exclusively with single nucleotide polymorphism (SNP) markers. The Illumina Infinium SoySNP6K BeadChip genotyping array produced 5,376 SNPs in the mapping population, with a 96.75% success rate. Significant level of goodness-of-fit for each locus was tested based on the observed vs. expected ratio (1:1). Out of 5,376 markers, 1,465 SNPs fit the 1:1 segregation rate having ≤20% missing data plus heterozygosity among the RILs. Among this 1,456 just 657 were polymorphic between the parents DNAs tested. These 657 SNPs were mapped using the JoinMap 4.0 software and 550 SNPs were distributed on 16 linkage groups (LGs) among the 20 chromosomes of the soybean genome. The total map length was just 201.57 centiMorgans (cM) with an average marker density of 0.37 cM. This is one of the high density SNP-based genetic linkage maps of soybean that will be used by the scientific community to map quantitative trait loci (QTL) and identify candidate genes for important agronomic traits in soybean.

A Quantitative Perspective on Surface Marker Selection for the Isolation of Functional Tumor Cells

Much effort has gone into developing fluid biopsies of patient peripheral blood for the monitoring of metastatic cancers. One common approach is to isolate and analyze tumor cells in the peripheral blood. Widespread clinical implementation of this approach has been hindered by the current choice of targeting epithelial markers known to be highly variable in primary tumor sites. Here, we review current antigen-based tumor cell isolation strategies and offer biological context for commonly studied cancer surface markers. Expression levels of the most common markers are quantitated for three breast cancer and two non-small cell lung cancer (NSCLC) lineage models. These levels are contrasted with that present on healthy peripheral blood mononuclear cells (PBMC) for comparison to expected background levels in a fluid biopsy setting. A key feature of this work is establishing a metric of markers per square micrometer. This describes an average marker density on the cell membrane surface, which is a critical metric for emerging isolation strategies. These results serve to extend expression of key tumor markers in a sensitive and dynamic manner beyond traditional positive/negative immunohistochemical staining to guide future fluid biopsy targeting strategies.

Construction of Genetic Map of Jute (Corchorus olitorius L.) Based on RAPD Markers

The first and preliminary genetic linkage map of the jute genome was constructed with RAPD markers using two parents (variety O-9897 and accession no. 1805) and their F2 populations. Linkage analysis at a LOD (Log of odds base 10) score of 3.0 and a maximum distance 50 cM revealed 18 linkage groups. Among the 18 linkage groups, 15 contained single locus and the remaining three groups 16, 17 and 18 contained 2, 11 and 12 loci, respectively. The three multi locus linkage groups varying in length from 15.9 - 241.7 cM, snapped a total length of 463.7 cM with an average marker density of 19.6 cM between adjacent markers. The basic chromosome number of Corchorus spp. is seven (2n = 14), so in saturated map, seven linkage groups should have been obtained to represent the genome. But for linkage group analysis, the effort was very limited and the total number of loci (40) was also low. Key words: Jute, Linkage map, RAPD, Polymorphism D.O.I 10.3329/ptcb.v18i2.3647 Plant Tissue Cult. & Biotech. 18(2): 165-172, 2008 (December)

Enrichment of a papaya high-density genetic map with AFLP markers

A high-density genetic linkage map of papaya, previously developed using an F2 mapping population derived from the intraspecific cross AU9 × SunUp, was enriched with AFLP markers. The comprehensive genetic map presented here spans 945.2 cM and covers 9 major and 5 minor linkage groups containing 712 SSR, 277 AFLP, and 1 morphological markers. The average marker density for the 9 major linkage groups is 0.9 cM between adjacent markers, and the total number of gaps >5 cM was reduced from 48 to 27 in the current map. AFLPs generated by EcoRI/MseI primer combinations were distributed throughout the 14 linkage groups and resulted in several large locus order rearrangements within the 9 major linkage groups. Integration of AFLP markers provided tighter linkage association between loci, leading to a reduction in map distance on LGs 1, 2, and 4, which were inflated in the previous map, and correction of the marker order on LG8. Suppression of recombination in the male-specific Y region (MSY) of LG1 is further validated by the addition of 27 sex co-segregating AFLP markers. A large region of distorted segregation surrounding the MSY spans 54.4 cM and represents ∼71% of the linkage group. This comprehensive high-density genetic map provides a framework for mapping quantitative trait loci and for fine mapping as well as for comparative genomic studies of crop plant development and evolution.

Construction of a genetic linkage map of black gram, Vigna mungo (L.) Hepper, based on molecular markers and comparative studies

A genetic linkage map of black gram, Vigna mungo (L.) Hepper, was constructed with 428 molecular markers using an F9 recombinant inbred population of 104 individuals. The population was derived from an inter-subspecific cross between a black gram cultivar, TU94-2, and a wild genotype, V. mungo var. silvestris. The linkage analysis at a LOD score of 5.0 distributed all 428 markers (254 AFLP, 47 SSR, 86 RAPD, and 41 ISSR) into 11 linkage groups. The map spanned a total distance of 865.1 cM with an average marker density of 2 cM. The largest linkage group spanned 115 cM and the smallest linkage group was of 44.9 cM. The number of markers per linkage group ranged from 11 to 86 and the average distance between markers varied from 1.1 to 5.6 cM. Comparison of the map with other published azuki bean and black gram maps showed high colinearity of markers, with some inversions. The current map is the most saturated map for black gram to date and will provide a useful tool for identification of QTLs and for marker-assisted selection of agronomically important characters in black gram.

Genomic distribution of MITEs in barley determined by MITE-AFLP mapping

Miniature inverted-repeat transposable elements (MITEs) represent a large superfamily of transposons that are moderately to highly repetitive and frequently found near or within plant genes. To elucidate the organization of MITEs in the barley genome, MITEs were integrated into the genetic map of barley. In this report, we describe the use of MITEs in amplified fragment length polymorphism (AFLP) mapping, and demonstrate their superiority over conventional AFLP mapping. Barley MITEs include members of the Stowaway, Barfly, and Pangrangja families. By amplifying the flanking sequences of these MITEs, a total of 214 loci were mapped from a population of 93 doubled-haploid segregating individuals between Hordeum vulgare ssp. vulgare and H. vulgare ssp. spontaneum. The 214 MITE-AFLP and 40 anchor simple sequence repeat (SSR) loci were distributed on 7 linkage groups, covering a total map distance of 1 165 cM. The average marker density on each chromosome ranged between 3.4 and 9.6 cM per locus. Only 1 MITE-based locus was frequently found to be associated with MITE loci from the same family, resulting in clusters in chromosomal subregions. In barley, it will be possible to cover the entire genome with a limited set of MITE-based primers and to build highly dense maps of specific regions.