PubMed Health⌕ Search

PubMed · 15020809

MITE display.

Abstract

Genome size differences among crop plants are largely due to unequal accumulation of repetitive DNA sequences, mainly transposable elements (TEs). Over the past decade, many families of miniature inverted-repeat transposable elements (MITEs) have been identified and characterized in a variety of organisms including animals and plants. MITEs are characterized by short terminal inverted repeats (TIRs) (10-15 bp), small size (approx 100 to 500 bp), high-copy-number (approx 1000 to 15,000 per haploid genome), and a preference for insertion into 2-bp to 3-bp targets that are rich in A and T residues. In this chapter, we present a modified transposon display procedure based on the maize MITE family Heartbreaker (Hbr). This technique is similar to AFLP in which AFLP adaptors are ligated to compatible ends of digested genomic DNA. Subsets of Hbr-containing fragments are then amplified using one AFLP primer and another primer complementary to an internal sequence of the Hbr element. Like AFLP, the Hbr display method permits the simultaneous analysis of numerous DNA fragments. Given the plethora of available marker systems, the major advantage of Hbr markers, and perhaps most MITE-based markers, is a preference for insertion in or near transcriptionally active genomic regions. This feature may be especially valuable in the large genomes of agriculturally important plants like maize, wheat, and barley where gene-rich islands are thought to exist in a sea of retrotransposons. Having a class of markers that are enriched in genic regions, coupled with the ease of isolating MITE markers, could expedite chromosome walks and map-based cloning protocols in these organisms.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Alexandra M Casa, Alexander Nagel, Susan R Wessler. 2004. MITE display.. https://doi.org/10.1385/1-59259-755-6%3A175

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Mitotic karyotyping and FISH mapping of the gender-specific locus indicate an advanced XY system in Hippophae rhamnoides.

Hippophae rhamnoides ssp. turkestanica, a subdioecious plant inhabiting the cold desert of the Indian Himalaya, has gained immense recognition for its nutritional and medicinal values. In recent years, the plant species has proven to be a suitable system to understand the evolution of dioecy. Despite its biological significance, the cytogenetics of this dioecious plant is unclear due to various conflicting accounts of its X-Y chromosome system, particularly the length of Y-chromosome. In this study, we resolved these ambiguities through comprehensive cytogenetic analyses across diverse western Himalayan populations. Using morphometric analysis and fluorescence in situ hybridization (FISH) with a gender-specific marker (HRMSSR), we confirmed homomorphic XX chromosomes in females and heteromorphic sex-chromosomes in males with a notably smaller Y-chromosome. The investigation also revealed a predominant somatic chromosome number of 2n = 24, although minor deviations (2n = 18, 20, 22) appeared at the seed level. These findings highlight an evolutionarily advanced sex-chromosome system. This first detailed cytogenetic investigation of Himalayan Seabuckthorn provides critical insights into the chromosomal architecture, laying a crucial foundation for future evolutionary, genomic, and conservation studies in the species.

Chromosome Mapping↗

Subtractive hybridization magnetic bead capture: a new technique for the recovery of full-length ORFs from the metagenome.

A new method for the recovery of full-length open reading frames from metagenomic nucleic acid samples is reported. This technique, based on subtractive hybridization magnetic bead capture technology, has the potential to access multiple gene variants from a single amplification reaction. It is now widely accepted that classical microbiological methods provide only limited access to the true microbial biodiversity (less than 1%). The desire to access a higher proportion of the metagenome has led to the development of efficient environmental nucleic acid extraction technologies and to a range of sequence-dependent and sequence-independent gene discovery techniques. These methods avoid many of the limitations of culture-dependent gene targeting.

Chromosome Mapping↗

The elusive goal of pedigree weights.

Non-parametric linkage analysis methods generally involve calculating an allele-sharing statistic for each pedigree in a data set, then standardizing and summing the statistics over pedigrees. Pedigrees of different sizes can be weighted differently in the sum, though it is perhaps most common to weight all standardized pedigree statistics equally. Most other common weighting schemes are based on the number of affected individuals in the pedigree. It is also possible to derive optimal weights, which maximize power to detect linkage under particular trait models. We started by investigating three different analytical and simulation-based methods to calculate power and derive optimal weights. We found that simulation methods produce noticeably more accurate power calculations than the other methods. However, although the different calculation methods give different "optimal" weights, the power at those weights is very similar. That is, the analytical calculation methods are sufficient for finding good weights even though the simulation methods are most appropriate for calculating power. In comparing optimal weights for different trait models, we found that the weights vary quite a bit with the model, such that optimal weights for one model are not necessarily powerful at all for other models. Finally, we studied the power of a number of general weighting schemes, and of some new ones that incorporate information on how closely the affected individuals are related. We were able to find some schemes that performed well in the sense of giving reasonably powerful weights for most of the trait models and pedigree types we considered.

Chromosome Mapping↗