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      Genomes of trombidid mites reveal novel predicted allergens and laterally transferred genes associated with secondary metabolism

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          Abstract

          Background

          Trombidid mites have a unique life cycle in which only the larval stage is ectoparasitic. In the superfamily Trombiculoidea (“chiggers”), the larvae feed preferentially on vertebrates, including humans. Species in the genus Leptotrombidium are vectors of a potentially fatal bacterial infection, scrub typhus, that affects 1 million people annually. Moreover, chiggers can cause pruritic dermatitis (trombiculiasis) in humans and domesticated animals. In the Trombidioidea (velvet mites), the larvae feed on other arthropods and are potential biological control agents for agricultural pests. Here, we present the first trombidid mites genomes, obtained both for a chigger, Leptotrombidium deliense, and for a velvet mite, Dinothrombium tinctorium.

          Results

          Sequencing was performed using Illumina technology. A 180 Mb draft assembly for D. tinctorium was generated from two paired-end and one mate-pair library using a single adult specimen. For L. deliense, a lower-coverage draft assembly (117 Mb) was obtained using pooled, engorged larvae with a single paired-end library. Remarkably, both genomes exhibited evidence of ancient lateral gene transfer from soil-derived bacteria or fungi. The transferred genes confer functions that are rare in animals, including terpene and carotenoid synthesis. Thirty-seven allergenic protein families were predicted in the L. deliense genome, of which nine were unique. Preliminary proteomic analyses identified several of these putative allergens in larvae.

          Conclusions

          Trombidid mite genomes appear to be more dynamic than those of other acariform mites. A priority for future research is to determine the biological function of terpene synthesis in this taxon and its potential for exploitation in disease control.

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          Most cited references172

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            GeneMark.hmm: new solutions for gene finding.

            The number of completely sequenced bacterial genomes has been growing fast. There are computer methods available for finding genes but yet there is a need for more accurate algorithms. The GeneMark. hmm algorithm presented here was designed to improve the gene prediction quality in terms of finding exact gene boundaries. The idea was to embed the GeneMark models into naturally derived hidden Markov model framework with gene boundaries modeled as transitions between hidden states. We also used the specially derived ribosome binding site pattern to refine predictions of translation initiation codons. The algorithm was evaluated on several test sets including 10 complete bacterial genomes. It was shown that the new algorithm is significantly more accurate than GeneMark in exact gene prediction. Interestingly, the high gene finding accuracy was observed even in the case when Markov models of order zero, one and two were used. We present the analysis of false positive and false negative predictions with the caution that these categories are not precisely defined if the public database annotation is used as a control.
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              De novo assembly and analysis of RNA-seq data.

              We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods.
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                Author and article information

                Journal
                Gigascience
                Gigascience
                gigascience
                GigaScience
                Oxford University Press
                2047-217X
                December 2018
                15 November 2018
                15 November 2018
                : 7
                : 12
                : giy127
                Affiliations
                [1 ]Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, United Kingdom
                [2 ]Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
                [3 ]School of Life Sciences, Jiangsu Normal University, Xuzhou 221116, China
                [4 ]Institute of Infection & Global Health, University of Liverpool, L3 5RF, United Kingdom
                [5 ]Faculty of Tropical Medicine, Mahidol University, Ratchathewi Bangkok 10400, Thailand
                [6 ]The Royal Veterinary College, London NW1 0TU, United Kingdom
                [7 ]Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool L3 5QA, United Kingdom
                [8 ]Institute of Veterinary Science, University of Liverpool, Liverpool L3 5RP, United Kingdom
                Author notes
                Correspondence address. Ben Makepeace, Department of Infection Biology, Institute of Infection & Global Health, Liverpool Science Park IC2, 146 Brownlow Hill, Liverpool L3 5RF, United Kingdom. Tel: +44 151–7941586; Fax: +44 151 7950236; E-mail: blm1@ 123456liv.ac.uk

                These authors contributed equally.

                Author information
                http://orcid.org/0000-0003-4571-2776
                http://orcid.org/0000-0002-4514-5292
                http://orcid.org/0000-0001-5218-1497
                http://orcid.org/0000-0002-4622-1218
                http://orcid.org/0000-0002-3786-6209
                http://orcid.org/0000-0002-6100-6727
                Article
                giy127
                10.1093/gigascience/giy127
                6275457
                30445460
                cfa78e3a-6459-4642-bb40-dfe121f52068
                © The Author(s) 2018. Published by Oxford University Press.

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

                History
                : 05 February 2018
                : 31 July 2018
                : 18 October 2018
                Page count
                Pages: 33
                Categories
                Research

                chigger,trombiculid,scrub typhus,terpenes,isoprenoids,horizontal transfer,leptotrombidium,dinothrombium,tetranychus,trombidiformes

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