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      Meiotic Drive Impacts Expression and Evolution of X-Linked Genes in Stalk-Eyed Flies

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          Abstract

          Although sex chromosome meiotic drive has been observed in a variety of species for over 50 years, the genes causing drive are only known in a few cases, and none of these cases cause distorted sex-ratios in nature. In stalk-eyed flies ( Teleopsis dalmanni), driving X chromosomes are commonly found at frequencies approaching 30% in the wild, but the genetic basis of drive has remained elusive due to reduced recombination between driving and non-driving X chromosomes. Here, we used RNAseq to identify transcripts that are differentially expressed between males carrying either a driving X (X SR) or a standard X chromosome (X ST), and found hundreds of these, the majority of which are X-linked. Drive-associated transcripts show increased levels of sequence divergence (dN/dS) compared to a control set, and are predominantly expressed either in testes or in the gonads of both sexes. Finally, we confirmed that X SR and X ST are highly divergent by estimating sequence differentiation between the RNAseq pools. We found that X-linked transcripts were often strongly differentiated (whereas most autosomal transcripts were not), supporting the presence of a relatively large region of recombination suppression on X SR presumably caused by one or more inversions. We have identified a group of genes that are good candidates for further study into the causes and consequences of sex-chromosome drive, and demonstrated that meiotic drive has had a profound effect on sequence evolution and gene expression of X-linked genes in this species.

          Author Summary

          Sex chromosome meiotic drive causes changes in the sex-ratios of natural populations, and may even lead to extinction if the driving element reaches high frequency. However, very little is known about the genes that cause sex-ratio drive, and no causal gene has been identified in a species that consistently exhibits distorted sex ratios in natural populations. Several species of stalk-eyed flies in southeast Asia – genus Teleopsis – express X chromosome drive, but the genes underlying drive have been difficult to locate due to reduced recombination between drive and standard X chromosomes presumably caused by the presence of a large inversion. Here, we use high throughput RNA sequencing to identify over 500 transcripts that are differentially expressed in the testes due to the effects of a driving X chromosome (X SR) in T. dalmanni. Most of these are X-linked, evolve more rapidly than control genes, and exhibit elevated expression in the gonads. Finally, X SR has become genetically differentiated from standard X chromosomes – using the RNA sequence data, we found nearly 1000 sites in X-linked transcripts and only a handful in autosomal transcripts where there was a fixed nucleotide difference. We conclude that X SR has led to widespread sequence and expression divergence on the X chromosome in T. dalmanni.

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          Chelex 100 as a medium for simple extraction of DNA for PCR-based typing from forensic material.

          Procedures utilizing Chelex 100 chelating resin have been developed for extracting DNA from forensic-type samples for use with the PCR. The procedures are simple, rapid, involve no organic solvents and do not require multiple tube transfers for most types of samples. The extraction of DNA from semen and very small bloodstains using Chelex 100 is as efficient or more efficient than using proteinase K and phenol-chloroform extraction. DNA extracted from bloodstains seems less prone to contain PCR inhibitors when prepared by this method. The Chelex method has been used with amplification and typing at the HLA DQ alpha locus to obtain the DQ alpha genotypes of many different types of samples, including whole blood, bloodstains, seminal stains, buccal swabs, hair and post-coital samples. The results of a concordance study are presented in which the DQ alpha genotypes of 84 samples prepared using Chelex or using conventional phenol-chloroform extraction are compared. The genotypes obtained using the two different extraction methods were identical for all samples tested.
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            THE RELATION OF RECOMBINATION TO MUTATIONAL ADVANCE.

            J. Müller (1964)
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              Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems

              Background The generation and analysis of high-throughput sequencing data are becoming a major component of many studies in molecular biology and medical research. Illumina's Genome Analyzer (GA) and HiSeq instruments are currently the most widely used sequencing devices. Here, we comprehensively evaluate properties of genomic HiSeq and GAIIx data derived from two plant genomes and one virus, with read lengths of 95 to 150 bases. Results We provide quantifications and evidence for GC bias, error rates, error sequence context, effects of quality filtering, and the reliability of quality values. By combining different filtering criteria we reduced error rates 7-fold at the expense of discarding 12.5% of alignable bases. While overall error rates are low in HiSeq data we observed regions of accumulated wrong base calls. Only 3% of all error positions accounted for 24.7% of all substitution errors. Analyzing the forward and reverse strands separately revealed error rates of up to 18.7%. Insertions and deletions occurred at very low rates on average but increased to up to 2% in homopolymers. A positive correlation between read coverage and GC content was found depending on the GC content range. Conclusions The errors and biases we report have implications for the use and the interpretation of Illumina sequencing data. GAIIx and HiSeq data sets show slightly different error profiles. Quality filtering is essential to minimize downstream analysis artifacts. Supporting previous recommendations, the strand-specificity provides a criterion to distinguish sequencing errors from low abundance polymorphisms.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                May 2014
                15 May 2014
                : 10
                : 5
                : e1004362
                Affiliations
                [1 ]Department of Biology, University of Maryland, College Park, Maryland, United States of America
                [2 ]Department of Biology, University of Rochester, Rochester, New York, United States of America
                [3 ]Bard College, Annadale-on-Hudson, New York, United States of America
                [4 ]Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, New York, United States of America
                University of California, Berkeley, United States of America
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: GSW JAR RHB. Performed the experiments: CLB PMJ JAR KAP. Analyzed the data: JAR RHB GSW. Contributed reagents/materials/analysis tools: KAP PMJ RHB. Wrote the paper: JAR GSW.

                Article
                PGENETICS-D-13-02520
                10.1371/journal.pgen.1004362
                4022487
                24832132
                e93608a4-ad58-4101-8091-205ac630911b
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 September 2013
                : 25 March 2014
                Page count
                Pages: 14
                Funding
                This study was supported by National Science Foundation grants to GSW (DEB-0952260) and RHB (DEB-0951816). JAR and KAP were supported in part by NIH F32 fellowships and GSW was supported in part by a fellowship from the Wissenschaftskolleg zu Berlin. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Genome Expression Analysis
                Genome Evolution
                Evolutionary Biology
                Evolutionary Genetics
                Genetics
                Genomics

                Genetics
                Genetics

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