Literature DB >> 27482846

The (in)complete organelle genome: exploring the use and nonuse of available technologies for characterizing mitochondrial and plastid chromosomes.

Matheus Sanitá Lima1, Laura C Woods1, Matthew W Cartwright1, David Roy Smith2.   

Abstract

Not long ago, scientists paid dearly in time, money and skill for every nucleotide that they sequenced. Today, DNA sequencing technologies epitomize the slogan 'faster, easier, cheaper and more', and in many ways, sequencing an entire genome has become routine, even for the smallest laboratory groups. This is especially true for mitochondrial and plastid genomes. Given their relatively small sizes and high copy numbers per cell, organelle DNAs are currently among the most highly sequenced kind of chromosome. But accurately characterizing an organelle genome and the information it encodes can require much more than DNA sequencing and bioinformatics analyses. Organelle genomes can be surprisingly complex and can exhibit convoluted and unconventional modes of gene expression. Unravelling this complexity can demand a wide assortment of experiments, from pulsed-field gel electrophoresis to Southern and Northern blots to RNA analyses. Here, we show that it is exactly these types of 'complementary' analyses that are often lacking from contemporary organelle genome papers, particularly short 'genome announcement' articles. Consequently, crucial and interesting features of organelle chromosomes are going undescribed, which could ultimately lead to a poor understanding and even a misrepresentation of these genomes and the genes they express. High-throughput sequencing and bioinformatics have made it easy to sequence and assemble entire chromosomes, but they should not be used as a substitute for or at the expense of other types of genomic characterization methods.
© 2016 The Authors. Molecular Ecology Resources Published by John Wiley & Sons Ltd.

Keywords:  RNA-Seq; genome announcement; genome report; next-generation sequencing; transcriptomics

Mesh:

Year:  2016        PMID: 27482846     DOI: 10.1111/1755-0998.12585

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  15 in total

1.  Pervasive Transcription of Mitochondrial, Plastid, and Nucleomorph Genomes across Diverse Plastid-Bearing Species.

Authors:  Matheus Sanitá Lima; David Roy Smith
Journal:  Genome Biol Evol       Date:  2017-10-01       Impact factor: 3.416

2.  Development of chloroplast genome resources for peanut (Arachis hypogaea L.) and other species of Arachis.

Authors:  Dongmei Yin; Yun Wang; Xingguo Zhang; Xingli Ma; Xiaoyan He; Jianhang Zhang
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

3.  Pervasive, Genome-Wide Transcription in the Organelle Genomes of Diverse Plastid-Bearing Protists.

Authors:  Matheus Sanitá Lima; David Roy Smith
Journal:  G3 (Bethesda)       Date:  2017-11-06       Impact factor: 3.154

4.  Dynamic evolution and phylogenomic analysis of the chloroplast genome in Schisandraceae.

Authors:  Bin Li; Yongqi Zheng
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379

5.  Complete mitochondrial genomes from transcriptomes: assessing pros and cons of data mining for assembling new mitogenomes.

Authors:  Giobbe Forni; Guglielmo Puccio; Thomas Bourguignon; Theodore Evans; Barbara Mantovani; Omar Rota-Stabelli; Andrea Luchetti
Journal:  Sci Rep       Date:  2019-10-15       Impact factor: 4.379

6.  Comparative mitogenomics of the Decapoda reveals evolutionary heterogeneity in architecture and composition.

Authors:  Mun Hua Tan; Han Ming Gan; Yin Peng Lee; Heather Bracken-Grissom; Tin-Yam Chan; Adam D Miller; Christopher M Austin
Journal:  Sci Rep       Date:  2019-07-24       Impact factor: 4.379

7.  Complete Chloroplast Genome Sequence of Decaisnea insignis: Genome Organization, Genomic Resources and Comparative Analysis.

Authors:  Bin Li; Furong Lin; Ping Huang; Wenying Guo; Yongqi Zheng
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

8.  Development of Chloroplast Genomic Resources in Chinese Yam (Dioscorea polystachya).

Authors:  Junling Cao; Dan Jiang; Zhenyu Zhao; Subo Yuan; Yujun Zhang; Teng Zhang; Wenhao Zhong; Qingjun Yuan; Luqi Huang
Journal:  Biomed Res Int       Date:  2018-03-14       Impact factor: 3.411

9.  Unraveling chloroplast transcriptomes with ChloroSeq, an organelle RNA-Seq bioinformatics pipeline.

Authors:  David Roy Smith; Matheus Sanitá Lima
Journal:  Brief Bioinform       Date:  2017-11-01       Impact factor: 11.622

10.  Development of nuclear SSR and chloroplast genome markers in diverse Liriodendron chinense germplasm based on low-coverage whole genome sequencing.

Authors:  Bin Li; Furong Lin; Ping Huang; Wenying Guo; Yongqi Zheng
Journal:  Biol Res       Date:  2020-05-14       Impact factor: 5.612

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.