|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM307012220 |
| 003 |
DE-627 |
| 005 |
20231225124630.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231225s2020 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1111/gcb.15058
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n1023.xml
|
| 035 |
|
|
|a (DE-627)NLM307012220
|
| 035 |
|
|
|a (NLM)32108978
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Gienapp, Phillip
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Opinion
|b Is gene mapping in wild populations useful for understanding and predicting adaptation to global change?
|
| 264 |
|
1 |
|c 2020
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 29.06.2020
|
| 500 |
|
|
|a Date Revised 29.06.2020
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a © 2020 John Wiley & Sons Ltd.
|
| 520 |
|
|
|a Changing environmental conditions will inevitably alter selection pressures. Over the long term, populations have to adapt to these altered conditions by evolutionary change to avoid extinction. Quantifying the 'evolutionary potential' of populations to predict whether they will be able to adapt fast enough to forecasted changes is crucial to fully assess the threat for biodiversity posed by climate change. Technological advances in sequencing and high-throughput genotyping have now made genomic studies possible in a wide range of species. Such studies, in theory, allow an unprecedented understanding of the genomics of ecologically relevant traits and thereby a detailed assessment of the population's evolutionary potential. Aimed at a wider audience than only evolutionary geneticists, this paper gives an overview of how gene-mapping studies have contributed to our understanding and prediction of evolutionary adaptations to climate change, identifies potential reasons why their contribution to understanding adaptation to climate change may remain limited, and highlights approaches to study and predict climate change adaptation that may be more promising, at least in the medium term
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a GWAS
|
| 650 |
|
4 |
|a QTL mapping
|
| 650 |
|
4 |
|a adaptation
|
| 650 |
|
4 |
|a environmental change
|
| 650 |
|
4 |
|a quantitative genetics
|
| 650 |
|
4 |
|a wild populations
|
| 773 |
0 |
8 |
|i Enthalten in
|t Global change biology
|d 1999
|g 26(2020), 5 vom: 15. Mai, Seite 2737-2749
|w (DE-627)NLM098239996
|x 1365-2486
|7 nnns
|
| 773 |
1 |
8 |
|g volume:26
|g year:2020
|g number:5
|g day:15
|g month:05
|g pages:2737-2749
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1111/gcb.15058
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 26
|j 2020
|e 5
|b 15
|c 05
|h 2737-2749
|