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      Opportunities and Challenges for Genomic Data Analyses in Biobanks: A Call for Papers

      The GSA Journals are calling for submissions of papers on biobank-scale genomic data analyses. The closing date for submissions is May 31 2024.

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      Recurrence of Chromosome Rearrangements and Reuse of DNA Breakpoints in the Evolution of the Triticeae Genomes

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          Abstract

          Chromosomal rearrangements (CRs) play important roles in karyotype diversity and speciation. While many CR breakpoints have been characterized at the sequence level in yeast, insects, and primates, little is known about the structure of evolutionary CR breakpoints in plant genomes, which are much more dynamic in genome size and sequence organization. Here, we report identification of breakpoints of a translocation between chromosome arms 4L and 5L of Triticeae, which is fixed in several species, including diploid wheat and rye, by comparative mapping and analysis of the draft genome and chromosome survey sequences of the Triticeae species. The wheat translocation joined the ends of breakpoints downstream of a WD40 gene on 4AL and a gene of the PMEI family on 5AL. A basic helix-loop-helix transcription factor gene in 5AL junction was significantly restructured. Rye and wheat share the same position for the 4L breakpoint, but the 5L breakpoint positions are not identical, although very close in these two species, indicating the recurrence of 4L/5L translocations in the Triticeae. Although barley does not carry the translocation, collinearity across the breakpoints was violated by putative inversions and/or transpositions. Alignment with model grass genomes indicated that the translocation breakpoints coincided with ancient inversion junctions in the Triticeae ancestor. Our results show that the 4L/5L translocation breakpoints represent two CR hotspots reused during Triticeae evolution, and support breakpoint reuse as a widespread mechanism in all eukaryotes. The mechanisms of the recurrent translocation and its role in Triticeae evolution are also discussed.

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          Fast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets

          High-throughput sequencing technologies have strongly impacted microbiology, providing a rapid and cost-effective way of generating draft genomes and exploring microbial diversity. However, sequences obtained from impure nucleic acid preparations may contain DNA from sources other than the sample. Those sequence contaminations are a serious concern to the quality of the data used for downstream analysis, causing misassembly of sequence contigs and erroneous conclusions. Therefore, the removal of sequence contaminants is a necessary and required step for all sequencing projects. We developed DeconSeq, a robust framework for the rapid, automated identification and removal of sequence contamination in longer-read datasets ( 150 bp mean read length). DeconSeq is publicly available as standalone and web-based versions. The results can be exported for subsequent analysis, and the databases used for the web-based version are automatically updated on a regular basis. DeconSeq categorizes possible contamination sequences, eliminates redundant hits with higher similarity to non-contaminant genomes, and provides graphical visualizations of the alignment results and classifications. Using DeconSeq, we conducted an analysis of possible human DNA contamination in 202 previously published microbial and viral metagenomes and found possible contamination in 145 (72%) metagenomes with as high as 64% contaminating sequences. This new framework allows scientists to automatically detect and efficiently remove unwanted sequence contamination from their datasets while eliminating critical limitations of current methods. DeconSeq's web interface is simple and user-friendly. The standalone version allows offline analysis and integration into existing data processing pipelines. DeconSeq's results reveal whether the sequencing experiment has succeeded, whether the correct sample was sequenced, and whether the sample contains any sequence contamination from DNA preparation or host. In addition, the analysis of 202 metagenomes demonstrated significant contamination of the non-human associated metagenomes, suggesting that this method is appropriate for screening all metagenomes. DeconSeq is available at http://deconseq.sourceforge.net/.
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            Chromosomal rearrangements maintain a polymorphic supergene controlling butterfly mimicry.

            Supergenes are tight clusters of loci that facilitate the co-segregation of adaptive variation, providing integrated control of complex adaptive phenotypes. Polymorphic supergenes, in which specific combinations of traits are maintained within a single population, were first described for 'pin' and 'thrum' floral types in Primula and Fagopyrum, but classic examples are also found in insect mimicry and snail morphology. Understanding the evolutionary mechanisms that generate these co-adapted gene sets, as well as the mode of limiting the production of unfit recombinant forms, remains a substantial challenge. Here we show that individual wing-pattern morphs in the polymorphic mimetic butterfly Heliconius numata are associated with different genomic rearrangements at the supergene locus P. These rearrangements tighten the genetic linkage between at least two colour-pattern loci that are known to recombine in closely related species, with complete suppression of recombination being observed in experimental crosses across a 400-kilobase interval containing at least 18 genes. In natural populations, notable patterns of linkage disequilibrium (LD) are observed across the entire P region. The resulting divergent haplotype clades and inversion breakpoints are found in complete association with wing-pattern morphs. Our results indicate that allelic combinations at known wing-patterning loci have become locked together in a polymorphic rearrangement at the P locus, forming a supergene that acts as a simple switch between complex adaptive phenotypes found in sympatry. These findings highlight how genomic rearrangements can have a central role in the coexistence of adaptive phenotypes involving several genes acting in concert, by locally limiting recombination and gene flow.
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              Genome-wide classification and evolutionary analysis of the bHLH family of transcription factors in Arabidopsis, poplar, rice, moss, and algae.

              Basic helix-loop-helix proteins (bHLHs) are found throughout the three eukaryotic kingdoms and constitute one of the largest families of transcription factors. A growing number of bHLH proteins have been functionally characterized in plants. However, some of these have not been previously classified. We present here an updated and comprehensive classification of the bHLHs encoded by the whole sequenced genomes of Arabidopsis (Arabidopsis thaliana), Populus trichocarpa, Oryza sativa, Physcomitrella patens, and five algae species. We define a plant bHLH consensus motif, which allowed the identification of novel highly diverged atypical bHLHs. Using yeast two-hybrid assays, we confirm that (1) a highly diverged bHLH has retained protein interaction activity and (2) the two most conserved positions in the consensus play an essential role in dimerization. Phylogenetic analysis permitted classification of the 638 bHLH genes identified into 32 subfamilies. Evolutionary and functional relationships within subfamilies are supported by intron patterns, predicted DNA-binding motifs, and the architecture of conserved protein motifs. Our analyses reveal the origin and evolutionary diversification of plant bHLHs through differential expansions, domain shuffling, and extensive sequence divergence. At the functional level, this would translate into different subfamilies evolving specific DNA-binding and protein interaction activities as well as differential transcriptional regulatory roles. Our results suggest a role for bHLH proteins in generating plant phenotypic diversity and provide a solid framework for further investigations into the role carried out in the transcriptional regulation of key growth and developmental processes.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                10 October 2016
                December 2016
                : 6
                : 12
                : 3837-3847
                Affiliations
                [1]Department of Biology and Microbiology, South Dakota State University, Brookings, South Dakota 57007
                Author notes
                [1 ]Corresponding author: Department of Biology and Microbiology, South Dakota State University, Rotunda Lane, 252 McFadden Biostress Building, Brookings, SD 57007-2142. E-mail: wanlong.li@ 123456sdstate.edu
                Article
                GGG_035089
                10.1534/g3.116.035089
                5144955
                27729435
                e6a29d75-a840-4a15-92c9-53317affee3a
                Copyright © 2016 Li et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 July 2016
                : 11 September 2016
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 69, Pages: 11
                Categories
                Investigations

                Genetics
                breakpoint reuse,chromosomal speciation,recurrent translocation,triticeae,wheat
                Genetics
                breakpoint reuse, chromosomal speciation, recurrent translocation, triticeae, wheat

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