Literature DB >> 17700638

Application of proteomics to ecology and population biology.

T L Karr1.   

Abstract

Proteomics is a relatively new scientific discipline that merges protein biochemistry, genome biology and bioinformatics to determine the spatial and temporal expression of proteins in cells, tissues and whole organisms. There has been very little application of proteomics to the fields of behavioral genetics, evolution, ecology and population dynamics, and has only recently been effectively applied to the closely allied fields of molecular evolution and genetics. However, there exists considerable potential for proteomics to impact in areas related to functional ecology; this review will introduce the general concepts and methodologies that define the field of proteomics and compare and contrast the advantages and disadvantages with other methods. Examples of how proteomics can aid, complement and indeed extend the study of functional ecology will be discussed including the main tool of ecological studies, population genetics with an emphasis on metapopulation structure analysis. Because proteomic analyses provide a direct measure of gene expression, it obviates some of the limitations associated with other genomic approaches, such as microarray and EST analyses. Likewise, in conjunction with associated bioinformatics and molecular evolutionary tools, proteomics can provide the foundation of a systems-level integration approach that can enhance ecological studies. It can be envisioned that proteomics will provide important new information on issues specific to metapopulation biology and adaptive processes in nature. A specific example of the application of proteomics to sperm ageing is provided to illustrate the potential utility of the approach.

Mesh:

Year:  2007        PMID: 17700638     DOI: 10.1038/sj.hdy.6801008

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  14 in total

Review 1.  Proteomics and the genetics of sperm chromatin condensation.

Authors:  Rafael Oliva; Judit Castillo
Journal:  Asian J Androl       Date:  2010-11-01       Impact factor: 3.285

2.  Proteomic analysis of muscle between hybrid abalone and parental lines Haliotis gigantea Reeve and Haliotis discus hannai Ino.

Authors:  G Di; X Luo; W You; J Zhao; X Kong; C Ke
Journal:  Heredity (Edinb)       Date:  2015-02-11       Impact factor: 3.821

3.  Gene-expression novelty in allopolyploid cotton: a proteomic perspective.

Authors:  Guanjing Hu; Jin Koh; Mi-Jeong Yoo; Sixue Chen; Jonathan F Wendel
Journal:  Genetics       Date:  2015-03-02       Impact factor: 4.562

4.  Evolutionary and Ecological Genomics of Non-Model Plants.

Authors:  Bao-Hua Song; Thomas Mitchell-Olds
Journal:  J Syst Evol       Date:  2011-01-01       Impact factor: 4.098

5.  The role of phenotypic plasticity on the proteome differences between two sympatric marine snail ecotypes adapted to distinct micro-habitats.

Authors:  Mónica Martínez-Fernández; María Páez de la Cadena; Emilio Rolán-Alvarez
Journal:  BMC Evol Biol       Date:  2010-03-08       Impact factor: 3.260

6.  Ecological adaptation of diverse honey bee (Apis mellifera) populations.

Authors:  Robert Parker; Andony P Melathopoulos; Rick White; Stephen F Pernal; M Marta Guarna; Leonard J Foster
Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

7.  Stairway to heaven: evaluating levels of biological organization correlated with the successful ascent of natural waterfalls in the Hawaiian stream goby Sicyopterus stimpsoni.

Authors:  Heiko L Schoenfuss; Takashi Maie; Kristine N Moody; Kelsey E Lesteberg; Richard W Blob; Tonya C Schoenfuss
Journal:  PLoS One       Date:  2013-12-27       Impact factor: 3.240

8.  Reproducibility and consistency of proteomic experiments on natural populations of a non-model aquatic insect.

Authors:  Amparo Hidalgo-Galiana; Marta Monge; David G Biron; Francesc Canals; Ignacio Ribera; Alexandra Cieslak
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

9.  Acclimation to different depths by the marine angiosperm Posidonia oceanica: transcriptomic and proteomic profiles.

Authors:  Emanuela Dattolo; Jenny Gu; Philipp E Bayer; Silvia Mazzuca; Ilia A Serra; Antonia Spadafora; Letizia Bernardo; Lucia Natali; Andrea Cavallini; Gabriele Procaccini
Journal:  Front Plant Sci       Date:  2013-06-17       Impact factor: 5.753

10.  Litter size manipulation in laboratory mice: an example of how proteomic analysis can uncover new mechanisms underlying the cost of reproduction.

Authors:  François Criscuolo; Fabrice Bertile; Marine I Plumel; Antoine Stier; Danièle Thiersé; Alain van Dorsselaer
Journal:  Front Zool       Date:  2014-05-20       Impact factor: 3.172

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