MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

SPAdes, a new genome assembly algorithm and its applications to single-cell sequencing ( 7th Annual SFAF Meeting, 2012)

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

The flowering plant Arabidopsis thaliana is an important model system for identifying genes and determining their functions. Here we report the analysis of the genomic sequence of Arabidopsis. The sequenced regions cover 115.4 megabases of the 125-megabase genome and extend into centromeric regions. The evolution of Arabidopsis involved a whole-genome duplication, followed by subsequent gene loss and extensive local gene duplications, giving rise to a dynamic genome enriched by lateral gene transfer from a cyanobacterial-like ancestor of the plastid. The genome contains 25,498 genes encoding proteins from 11,000 families, similar to the functional diversity of Drosophila and Caenorhabditis elegans--the other sequenced multicellular eukaryotes. Arabidopsis has many families of new proteins but also lacks several common protein families, indicating that the sets of common proteins have undergone differential expansion and contraction in the three multicellular eukaryotes. This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.

/pdf/analysis-of-the-genome-sequence-of-the-flowering-plant-3vizsb52m2.pdf

Analysis of the genome sequence of the flowering plant Arabidopsis thaliana.

A novel tissue-specific promoter is provided which has been isolated from the upstream non-coding region of a plant UFO gene This promoter, operably associated with a nucleic acid sequence expressing a product of interest, initiates and regulates the transcription of such sequences in a shoot meristem-specific tissue

Shoot meristem specific promoter sequences

For the analysis of transcriptional tiling arrays we have developed two methods based on stateof-the-art machine learning algorithms. First, we present a novel transcript normalization technique to alleviate the effect of oligonucleotide probe sequences on hybridization intensity. It is specifically designed to decrease the variability observed for individual probes complementary to the same transcript. Applying this normalization technique to Arabidopsis tiling arrays, we are able to reduce sequence biases and also significantly improve separation in signal intensity between exonic and intronic/intergenic probes. Our second contribution is a method for transcript mapping. It extends an algorithm proposed for yeast tiling arrays to the more challenging task of spliced transcript identification. When evaluated on raw versus normalized intensities our method achieves highest prediction accuracy when segmentation is performed on transcriptnormalized tiling array data. Datasets, software and the appendix are available for download at http://www.fml.mpg. de/raetsch/projects/PSBTiling

/pdf/transcript-normalization-and-segmentation-of-tiling-array-3x685yquxo.pdf

Transcript normalization and segmentation of tiling array data.

MicroRNAs (miRNAs) are short RNAs involved in gene regulation through translational inhibition and transcript cleavage. After processing from imperfect fold-back structures, miRNAs are incorporated into RNA-induced silencing complexes (RISCs) before targeting transcripts with varying degrees of complementarity. Some miRNAs are evolutionarily deep-rooted, and sequence complementarity with their targets is maintained through purifying selection. Both Arabidopsis and Capsella belong to the tribe Camelineae in the Brassicaceae, with Capsella rubella serving as an outgroup to the genus Arabidopsis. The genome sequence of C. rubella has recently been released, which allows characterization of its miRNA complement in comparison with Arabidopsis thaliana and Arabidopsis lyrata. Through next-generation sequencing, we identify high-confidence miRNA candidates specific to the C. rubella lineage. Only a few lineage-specific miRNAs have been studied for evolutionary constraints, and there have been no systematic studies of miRNA target diversity within or divergence between closely related plant species. Therefore we contrast sequence variation in miRNAs and their targets within A. thaliana, and between A. thaliana, A. lyrata and C. rubella. We document a surprising amount of small-scale variation in miRNA-target pairs, where many miRNAs are predicted to have species-specific targets in addition to ones that are shared between species. Our results emphasize that the transitive nature of many miRNA-target pairs can be observed even on a relatively short evolutionary time-scale, with non-random occurrences of differences in miRNAs and their complements in the miRNA precursors, the miRNA* sequences.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.12754

Rapid divergence and high diversity of miRNAs and miRNA targets in the Camelineae

INTRODUCTIONThe inheritance of mutant phenotypes in Arabidopsis thaliana is most often analyzed in the progeny resulting from crosses between different parents. This article describes genetic strategies for the analysis of mutants. Newly identified mutations can be examined initially using segregation analysis, followed by backcrossing and cosegregation for removal of extraneous mutations and assessment of pleiotropy. Confirmation that a phenotype of interest results from a given mutation can be achieved via complementation testing, which is also used to determine allelism of recessive mutations. The construction of double mutants is useful in the study of signal transduction and metabolic pathways. Considerations for the use of double homozygotes and their identification in the F(2) and F(3) generations are described at the end of this article.

Genetic Analysis of Arabidopsis Mutants

Understanding the genetic basis of heritable spinal curvature would benefit medicine and aquaculture. Heritable spinal curvature among otherwise healthy children (i.e. Idiopathic Scoliosis and Scheuermann kyphosis) accounts for more than 80% of all spinal curvatures and imposes a substantial healthcare cost through bracing, hospitalizations, surgery, and chronic back pain. In aquaculture, the prevalence of heritable spinal curvature can reach as high as 80% of a stock, and thus imposes a substantial cost through production losses. The genetic basis of heritable spinal curvature is unknown and so the objective of this work is to identify quantitative trait loci (QTL) affecting heritable spinal curvature in the curveback guppy. Prior work with curveback has demonstrated phenotypic parallels to human idiopathic-type scoliosis, suggesting shared biological pathways for the deformity. A major effect QTL that acts in a recessive manner and accounts for curve susceptibility was detected in an initial mapping cross on LG 14. In a second cross, we confirmed this susceptibility locus and fine mapped it to a 5 cM region that explains 82.6% of the total phenotypic variance. We identify a major QTL that controls susceptibility to curvature. This locus contains over 100 genes, including MTNR1B, a candidate gene for human idiopathic scoliosis. The identification of genes associated with heritable spinal curvature in the curveback guppy has the potential to elucidate the biological basis of spinal curvature among humans and economically important teleosts.

/pdf/a-major-qtl-controls-susceptibility-to-spinal-curvature-in-4w9zc5eqmt.pdf

Detlef Weigel

Papers

Shoot meristem specific promoter sequences

Transcript normalization and segmentation of tiling array data.

Rapid divergence and high diversity of miRNAs and miRNA targets in the Camelineae

Genetic Analysis of Arabidopsis Mutants

A major QTL controls susceptibility to spinal curvature in the curveback guppy