Cino Pertoldi

Prof. Cino Pertoldi

Chemistry and Bioscience, Aalborg University, Aalborg, Nordjylland, Denmark
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 August 2010 in Climate Research
Verified
Journal Article
Closed access
SCSl Chown
Sl Chown
AHAa Hoffmann
Aa Hoffmann
Torsten Nygaard KristensenTorsten Nygaard Kristensen
Torsten Nygaard Kristensen
MAMj Angilletta
Mj Angilletta
NSNils Chr. Stenseth
Nils Chr. Stenseth
Cino PertoldiCino Pertoldi
Cino Pertoldi

1 April 2010 in Trends in Genetics
Verified
Journal Article
Closed access
NON. Joop Ouborg
N. Joop Ouborg
Cino PertoldiCino Pertoldi
Cino Pertoldi
Volker LoeschchckeVolker Loeschchcke
Volker Loeschchcke
RBR. (Kuke) Bijlsma
R. (Kuke) Bijlsma
PHPhil W. Hedrick
Phil W. Hedrick

20 May 2005 in Molecular Ecology
Verified
Journal Article
Closed access
PDF file
TFT. Fredsted
T. Fredsted
Cino PertoldiCino Pertoldi
Cino Pertoldi
MSM. H. Schierup
M. H. Schierup
PKP. M. Kappeler
P. M. Kappeler

1 January 2013 in Mammalian Biology
Verified
Journal Article
Closed access
FZFrank E. Zachos
Frank E. Zachos
MAMarco Apollonio
Marco Apollonio
EBEva V. Bärmann
Eva V. Bärmann
MFMarco Festa-Bianchet
Marco Festa-Bianchet
UGUrsula Göhlich
Ursula Göhlich
FSFranz Suchentrunk
Franz Suchentrunk

26 August 2008 in Proceedings Of The Royal Society B-Biological Sciences
Verified
Journal Article
Closed access
LJLasse Fast Jensen
Lasse Fast Jensen
Michael Møller HansenMichael Møller Hansen
Michael Møller Hansen
Cino PertoldiCino Pertoldi
Cino Pertoldi
GHGert Holdensgaard
Gert Holdensgaard
KMKaren-Lise Dons Mensberg
Karen-Lise Dons Mensberg
Volker LoeschchckeVolker Loeschchcke
Volker Loeschchcke
Knowledge of local adaptation and adaptive potential of natural populations is becoming increasingly relevant due to anthropogenic changes in the environment, such as climate change. The concern is that populations will be negatively affected by increasing temperatures without the capacity to adapt. Temperature-related adaptability in traits related to phenology and early life history are expected to be particularly important in salmonid fishes. We focused on the latter and investigated whether four populations of brown trout (Salmo trutta) are locally adapted in early life-history traits. These populations spawn in rivers that experience different temperature conditions during the time of incubation of eggs and embryos. They were reared in a common-garden experiment at three different temperatures. Quantitative genetic differentiation (QST) exceeded neutral molecular differentiation (FST) for two traits, indicating local adaptation. A temperature effect was observed for three traits. However, this effect varied among populations due to locally adapted reaction norms, corresponding to the temperature regimes experienced by the populations in their native environments. Additive genetic variance and heritable variation in phenotypic plasticity suggest that although increasing temperatures are likely to affect some populations negatively, they may have the potential to adapt to changing temperature regimes.

1 January 2013 in BMC Genetics
Verified
Journal Article
Open access
PDF file
KGKevin Glover
Kevin Glover
Cino PertoldiCino Pertoldi
Cino Pertoldi
FBFrancois Besnier
Francois Besnier
VWVidar Wennevik
Vidar Wennevik
MKMatthew Kent
Matthew Kent
ØSØystein Skaala
Øystein Skaala
Many native Atlantic salmon populations have been invaded by domesticated escapees for three decades or longer. However, thus far, the cumulative level of gene-flow that has occurred from farmed to wild salmon has not been reported for any native Atlantic salmon population. The aim of the present study was to investigate temporal genetic stability in native populations, and, quantify gene-flow from farmed salmon that caused genetic changes where they were observed. This was achieved by genotyping historical and contemporary samples from 20 populations covering all of Norway with recently identified single nucleotide polymorphism markers that are collectively diagnostic for farmed and wild salmon. These analyses were combined with analysis of farmed salmon and implementation of Approximate Bayesian computation based simulations.