• Je něco špatně v tomto záznamu ?

Evolutionary potential of a widespread clonal grass under changing climate

B. Stojanova, V. Koláříková, M. Šurinová, J. Klápště, V. Hadincová, Z. Münzbergová,

. 2019 ; 32 (10) : 1057-1068. [pub] 20190903

Jazyk angličtina Země Švýcarsko

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc20025618

Adaptive responses are probably the most effective long-term responses of populations to climate change, but they require sufficient evolutionary potential upon which selection can act. This requires high genetic variance for the traits under selection and low antagonizing genetic covariances between the different traits. Evolutionary potential estimates are still scarce for long-lived, clonal plants, although these species are predicted to dominate the landscape with climate change. We studied the evolutionary potential of a perennial grass, Festuca rubra, in western Norway, in two controlled environments corresponding to extreme environments in natural populations: cold-dry and warm-wet, the latter being consistent with the climatic predictions for the country. We estimated genetic variances, covariances, selection gradients and response to selection for a wide range of growth, resource acquisition and physiological traits, and compared their estimates between the environments. We showed that the evolutionary potential of F. rubra is high in both environments, and genetic covariances define one main direction along which selection can act with relatively few constraints to selection. The observed response to selection at present is not sufficient to produce genotypes adapted to the predicted climate change under a simple, space for time substitution model. However, the current populations contain genotypes which are pre-adapted to the new climate, especially for growth and resource acquisition traits. Overall, these results suggest that the present populations of the long-lived clonal plant may have sufficient evolutionary potential to withstand long-term climate changes through adaptive responses.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20025618
003      
CZ-PrNML
005      
20201222160313.0
007      
ta
008      
201125s2019 sz f 000 0|eng||
009      
AR
024    7_
$a 10.1111/jeb.13507 $2 doi
035    __
$a (PubMed)31287927
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sz
100    1_
$a Stojanova, Bojana $u Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic. Institute of Botany, Academy of Sciences of the Czech Republic, Průhonice, Czech Republic. Department of Biology and Ecology, Faculty of Science, Institute of Environmental Technologies, University of Ostrava, Ostrava, Czech Republic.
245    10
$a Evolutionary potential of a widespread clonal grass under changing climate / $c B. Stojanova, V. Koláříková, M. Šurinová, J. Klápště, V. Hadincová, Z. Münzbergová,
520    9_
$a Adaptive responses are probably the most effective long-term responses of populations to climate change, but they require sufficient evolutionary potential upon which selection can act. This requires high genetic variance for the traits under selection and low antagonizing genetic covariances between the different traits. Evolutionary potential estimates are still scarce for long-lived, clonal plants, although these species are predicted to dominate the landscape with climate change. We studied the evolutionary potential of a perennial grass, Festuca rubra, in western Norway, in two controlled environments corresponding to extreme environments in natural populations: cold-dry and warm-wet, the latter being consistent with the climatic predictions for the country. We estimated genetic variances, covariances, selection gradients and response to selection for a wide range of growth, resource acquisition and physiological traits, and compared their estimates between the environments. We showed that the evolutionary potential of F. rubra is high in both environments, and genetic covariances define one main direction along which selection can act with relatively few constraints to selection. The observed response to selection at present is not sufficient to produce genotypes adapted to the predicted climate change under a simple, space for time substitution model. However, the current populations contain genotypes which are pre-adapted to the new climate, especially for growth and resource acquisition traits. Overall, these results suggest that the present populations of the long-lived clonal plant may have sufficient evolutionary potential to withstand long-term climate changes through adaptive responses.
650    12
$a biologická evoluce $7 D005075
650    12
$a klimatické změny $7 D057231
650    _2
$a ekosystém $7 D017753
650    _2
$a Festuca $x genetika $x fyziologie $7 D031751
650    _2
$a selekce (genetika) $7 D012641
651    _2
$a Norsko $7 D009664
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Koláříková, Veronika $u Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic.
700    1_
$a Šurinová, Maria $u Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic. Institute of Botany, Academy of Sciences of the Czech Republic, Průhonice, Czech Republic.
700    1_
$a Klápště, Jaroslav $u Scion (New Zealand Forest Research Institute Ltd.), Rotorua, New Zealand.
700    1_
$a Hadincová, Věroslava $u Institute of Botany, Academy of Sciences of the Czech Republic, Průhonice, Czech Republic.
700    1_
$a Münzbergová, Zuzana $u Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic. Institute of Botany, Academy of Sciences of the Czech Republic, Průhonice, Czech Republic.
773    0_
$w MED00005756 $t Journal of evolutionary biology $x 1420-9101 $g Roč. 32, č. 10 (2019), s. 1057-1068
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31287927 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201222160309 $b ABA008
999    __
$a ok $b bmc $g 1599763 $s 1116304
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 32 $c 10 $d 1057-1068 $e 20190903 $i 1420-9101 $m Journal of evolutionary biology $n J Evol Biol $x MED00005756
LZP    __
$a Pubmed-20201125

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...