Literature DB >> 29198378

Fantastic Beasts and How To Sequence Them: Ecological Genomics for Obscure Model Organisms.

Mikhail V Matz1.   

Abstract

The application of genomic approaches to 'obscure model organisms' (OMOs), meaning species with no prior genomic resources, enables increasingly sophisticated studies of the genomic basis of evolution, acclimatization, and adaptation in real ecological contexts. I consider here ecological questions that can be addressed using OMOs, and indicate optimal sequencing and data-handling solutions for each case. With this I hope to promote the diversity of OMO-based projects that would capitalize on the peculiarities of the natural history of OMOs and could feasibly be completed within the scope of a single PhD thesis.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 29198378     DOI: 10.1016/j.tig.2017.11.002

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  10 in total

1.  The paradox behind the pattern of rapid adaptive radiation: how can the speciation process sustain itself through an early burst?

Authors:  Christopher H Martin; Emilie J Richards
Journal:  Annu Rev Ecol Evol Syst       Date:  2019-10-01       Impact factor: 14.340

2.  TagSeq for gene expression in non-model plants: A pilot study at the Santa Rita Experimental Range NEON core site.

Authors:  Hannah E Marx; Stephen Scheidt; Michael S Barker; Katrina M Dlugosch
Journal:  Appl Plant Sci       Date:  2020-11-22       Impact factor: 1.936

3.  Benchmarking Oxford Nanopore read assemblers for high-quality molluscan genomes.

Authors:  Jin Sun; Runsheng Li; Chong Chen; Julia D Sigwart; Kevin M Kocot
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-04-05       Impact factor: 6.671

4.  Contemporary Demographic Reconstruction Methods Are Robust to Genome Assembly Quality: A Case Study in Tasmanian Devils.

Authors:  Austin H Patton; Mark J Margres; Amanda R Stahlke; Sarah Hendricks; Kevin Lewallen; Rodrigo K Hamede; Manuel Ruiz-Aravena; Oliver Ryder; Hamish I McCallum; Menna E Jones; Paul A Hohenlohe; Andrew Storfer
Journal:  Mol Biol Evol       Date:  2019-12-01       Impact factor: 16.240

5.  A benchmark study of ab initio gene prediction methods in diverse eukaryotic organisms.

Authors:  Nicolas Scalzitti; Anne Jeannin-Girardon; Pierre Collet; Olivier Poch; Julie D Thompson
Journal:  BMC Genomics       Date:  2020-04-09       Impact factor: 3.969

6.  Ultrafast functional profiling of RNA-seq data for nonmodel organisms.

Authors:  Peng Liu; Jessica Ewald; Jose Hector Galvez; Jessica Head; Doug Crump; Guillaume Bourque; Niladri Basu; Jianguo Xia
Journal:  Genome Res       Date:  2021-03-17       Impact factor: 9.043

7.  RNA sequencing describes both population structure and plasticity-selection dynamics in a non-model fish.

Authors:  Matt J Thorstensen; Melinda R Baerwald; Ken M Jeffries
Journal:  BMC Genomics       Date:  2021-04-15       Impact factor: 3.969

8.  Conservation Genomics of Two Threatened Subspecies of Northern Giraffe: The West African and the Kordofan Giraffe.

Authors:  Raphael T F Coimbra; Sven Winter; Barbara Mitchell; Julian Fennessy; Axel Janke
Journal:  Genes (Basel)       Date:  2022-01-25       Impact factor: 4.096

9.  Shifting evolutionary sands: transcriptome characterization of the Aptostichus atomarius species complex.

Authors:  Nicole L Garrison; Michael S Brewer; Jason E Bond
Journal:  BMC Evol Biol       Date:  2020-06-15       Impact factor: 3.260

Review 10.  Ocean acidification promotes broad transcriptomic responses in marine metazoans: a literature survey.

Authors:  Marie E Strader; Juliet M Wong; Gretchen E Hofmann
Journal:  Front Zool       Date:  2020-02-17       Impact factor: 3.172

  10 in total

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