Literature DB >> 17091126

The next generation of microarray research: applications in evolutionary and ecological genomics.

S-H Shiu1, J O Borevitz.   

Abstract

Microarray technology is one of the key developments in recent years that has propelled biological research into the post-genomic era. With the ability to assay thousands to millions of features at the same time, microarray technology has fundamentally changed how biological questions are addressed, from examining one or a few genes to a collection of genes or the whole genome. This technology has much to offer in the study of genome evolution. After a brief introduction on the technology itself, we then focus on the use of microarrays to examine genome dynamics, to uncover novel functional elements in genomes, to unravel the evolution of regulatory networks, to identify genes important for behavioral and phenotypic plasticity, and to determine microbial community diversity in environmental samples. Although there are still practical issues in using microarrays, they will be alleviated by rapid advances in array technology and analysis methods, the availability of many genome sequences of closely related species and flexibility in array design. It is anticipated that the application of microarray technology will continue to better our understanding of evolution and ecology through the examination of individuals, populations, closely related species or whole microbial communities.

Entities:  

Mesh:

Year:  2006        PMID: 17091126     DOI: 10.1038/sj.hdy.6800916

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


  14 in total

Review 1.  Repeated evolution of reproductive isolation in a marine snail: unveiling mechanisms of speciation.

Authors:  Kerstin Johannesson; Marina Panova; Petri Kemppainen; Carl André; Emilio Rolán-Alvarez; Roger K Butlin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

2.  Rapidly developing functional genomics in ecological model systems via 454 transcriptome sequencing.

Authors:  Christopher W Wheat
Journal:  Genetica       Date:  2008-10-18       Impact factor: 1.082

Review 3.  Bacterial gene amplification: implications for the evolution of antibiotic resistance.

Authors:  Linus Sandegren; Dan I Andersson
Journal:  Nat Rev Microbiol       Date:  2009-08       Impact factor: 60.633

4.  Ecological genetics and genomics of plant defenses: Evidence and approaches.

Authors:  Jill T Anderson; Thomas Mitchell-Olds
Journal:  Funct Ecol       Date:  2011-04       Impact factor: 5.608

5.  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

Review 6.  Recent Advances in Lactic Acid Production by Lactic Acid Bacteria.

Authors:  Xuejiao Tian; Hao Chen; Hao Liu; Jihong Chen
Journal:  Appl Biochem Biotechnol       Date:  2021-09-14       Impact factor: 2.926

Review 7.  Molecular genetic manipulation of vector mosquitoes.

Authors:  Olle Terenius; Osvaldo Marinotti; Douglas Sieglaff; Anthony A James
Journal:  Cell Host Microbe       Date:  2008-11-13       Impact factor: 21.023

8.  Comparative genomics using microarrays reveals divergence and loss of virulence-associated genes in host-specific strains of the insect pathogen Metarhizium anisopliae.

Authors:  Sibao Wang; Andreas Leclerque; Monica Pava-Ripoll; Weiguo Fang; Raymond J St Leger
Journal:  Eukaryot Cell       Date:  2009-04-24

9.  Coding region structural heterogeneity and turnover of transcription start sites contribute to divergence in expression between duplicate genes.

Authors:  Chungoo Park; Kateryna D Makova
Journal:  Genome Biol       Date:  2009-01-28       Impact factor: 13.583

10.  SNUGB: a versatile genome browser supporting comparative and functional fungal genomics.

Authors:  Kyongyong Jung; Jongsun Park; Jaeyoung Choi; Bongsoo Park; Seungill Kim; Kyohun Ahn; Jaehyuk Choi; Doil Choi; Seogchan Kang; Yong-Hwan Lee
Journal:  BMC Genomics       Date:  2008-12-04       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.