Literature DB >> 27184710

Next-generation biology: Sequencing and data analysis approaches for non-model organisms.

Rute R da Fonseca1, Anders Albrechtsen2, Gonçalo Espregueira Themudo3, Jazmín Ramos-Madrigal4, Jonas Andreas Sibbesen2, Lasse Maretty2, M Lisandra Zepeda-Mendoza4, Paula F Campos5, Rasmus Heller2, Ricardo J Pereira4.   

Abstract

As sequencing technologies become more affordable, it is now realistic to propose studying the evolutionary history of virtually any organism on a genomic scale. However, when dealing with non-model organisms it is not always easy to choose the best approach given a specific biological question, a limited budget, and challenging sample material. Furthermore, although recent advances in technology offer unprecedented opportunities for research in non-model organisms, they also demand unprecedented awareness from the researcher regarding the assumptions and limitations of each method. In this review we present an overview of the current sequencing technologies and the methods used in typical high-throughput data analysis pipelines. Subsequently, we contextualize high-throughput DNA sequencing technologies within their applications in non-model organism biology. We include tips regarding managing unconventional sample material, comparative and population genetic approaches that do not require fully assembled genomes, and advice on how to deal with low depth sequencing data.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Comparative genomics; Genotype likelihoods; Population genomics; RADseq; RNAseq; Targeted sequencing

Mesh:

Year:  2016        PMID: 27184710     DOI: 10.1016/j.margen.2016.04.012

Source DB:  PubMed          Journal:  Mar Genomics        ISSN: 1874-7787            Impact factor:   1.710


  34 in total

1.  Double-digest RAD-sequencing: do pre- and post-sequencing protocol parameters impact biological results?

Authors:  Tristan Cumer; Charles Pouchon; Frédéric Boyer; Glenn Yannic; Delphine Rioux; Aurélie Bonin; Thibaut Capblancq
Journal:  Mol Genet Genomics       Date:  2021-01-20       Impact factor: 3.291

Review 2.  Genomics of coloration in natural animal populations.

Authors:  Luis M San-Jose; Alexandre Roulin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-07-05       Impact factor: 6.237

3.  BASiNET-BiologicAl Sequences NETwork: a case study on coding and non-coding RNAs identification.

Authors:  Eric Augusto Ito; Isaque Katahira; Fábio Fernandes da Rocha Vicente; Luiz Filipe Protasio Pereira; Fabrício Martins Lopes
Journal:  Nucleic Acids Res       Date:  2018-09-19       Impact factor: 16.971

4.  Evaluating the monophyly of Mammillaria series Supertextae (Cactaceae).

Authors:  Cristian R Cervantes; Silvia Hinojosa-Alvarez; Ana Wegier; Ulises Rosas; Salvador Arias
Journal:  PhytoKeys       Date:  2021-04-28       Impact factor: 1.635

5.  FQStat: a parallel architecture for very high-speed assessment of sequencing quality metrics.

Authors:  Sree K Chanumolu; Mustafa Albahrani; Hasan H Otu
Journal:  BMC Bioinformatics       Date:  2019-08-15       Impact factor: 3.169

6.  Critical symbiont signals drive both local and systemic changes in diel and developmental host gene expression.

Authors:  Silvia Moriano-Gutierrez; Eric J Koch; Hailey Bussan; Kymberleigh Romano; Mahdi Belcaid; Federico E Rey; Edward G Ruby; Margaret J McFall-Ngai
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-04       Impact factor: 11.205

7.  Comparative Transcriptome Analysis Provides Insights into Differentially Expressed Genes and Long Non-Coding RNAs between Ovary and Testis of the Mud Crab (Scylla paramamosain).

Authors:  Xiaolong Yang; Mhd Ikhwanuddin; Xincang Li; Fan Lin; Qingyang Wu; Yueling Zhang; Cuihong You; Wenhua Liu; Yinwei Cheng; Xi Shi; Shuqi Wang; Hongyu Ma
Journal:  Mar Biotechnol (NY)       Date:  2017-11-20       Impact factor: 3.619

8.  High throughput discovery of protein variants using proteomics informed by transcriptomics.

Authors:  Shyamasree Saha; David A Matthews; Conrad Bessant
Journal:  Nucleic Acids Res       Date:  2018-06-01       Impact factor: 16.971

9.  Limited Evidence for Parallel Evolution Among Desert-Adapted Peromyscus Deer Mice.

Authors:  Jocelyn P Colella; Anna Tigano; Olga Dudchenko; Arina D Omer; Ruqayya Khan; Ivan D Bochkov; Erez L Aiden; Matthew D MacManes
Journal:  J Hered       Date:  2021-05-24       Impact factor: 2.645

10.  A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data.

Authors:  Miao Zhang; Yiwen Liu; Hua Zhou; Joseph Watkins; Jin Zhou
Journal:  BMC Bioinformatics       Date:  2021-06-26       Impact factor: 3.169

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