Your browser doesn't support javascript.
loading
Through the looking glass: attempting to predict future opportunities and challenges in experimental biology.
Gilmour, Kathleen M; Daley, Monica A; Egginton, Stuart; Kelber, Almut; McHenry, Matthew J; Patek, Sheila N; Sane, Sanjay P; Schulte, Patricia M; Terblanche, John S; Wright, Patricia A; Franklin, Craig E.
Afiliação
  • Gilmour KM; Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
  • Daley MA; Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA 92697, USA.
  • Egginton S; School of Biomedical Sciences, University of Leeds, Leeds LS2 9JT, UK.
  • Kelber A; Department of Biology, Lund University, 22362 Lund, Sweden.
  • McHenry MJ; Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA 92697, USA.
  • Patek SN; Biology Department, Duke University, Durham, NC 27708, USA.
  • Sane SP; National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bangalore, Karnataka 560065, India.
  • Schulte PM; Department of Zoology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
  • Terblanche JS; Center for Invasion Biology, Department of Conservation Ecology & Entomology, Stellenbosch University, Stellenbosch 7602, South Africa.
  • Wright PA; Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Franklin CE; School of the Environment, The University of Queensland, St. Lucia, Brisbane 4072, Australia.
J Exp Biol ; 226(24)2023 12 15.
Article em En | MEDLINE | ID: mdl-38059428
To celebrate its centenary year, Journal of Experimental Biology (JEB) commissioned a collection of articles examining the past, present and future of experimental biology. This Commentary closes the collection by considering the important research opportunities and challenges that await us in the future. We expect that researchers will harness the power of technological advances, such as '-omics' and gene editing, to probe resistance and resilience to environmental change as well as other organismal responses. The capacity to handle large data sets will allow high-resolution data to be collected for individual animals and to understand population, species and community responses. The availability of large data sets will also place greater emphasis on approaches such as modeling and simulations. Finally, the increasing sophistication of biologgers will allow more comprehensive data to be collected for individual animals in the wild. Collectively, these approaches will provide an unprecedented understanding of 'how animals work' as well as keys to safeguarding animals at a time when anthropogenic activities are degrading the natural environment.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Meio Ambiente Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Meio Ambiente Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article