Dataset Information

Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

ABSTRACT: For species to stay temporally tuned to their environment, they use cues such as the accumulation of degree-days. The relationships between the timing of a phenological event in a population and its environmental cue can be described by a population-level reaction norm. Variation in reaction norms along environmental gradients may either intensify the environmental effects on timing (cogradient variation) or attenuate the effects (countergradient variation). To resolve spatial and seasonal variation in species' response, we use a unique dataset of 91 taxa and 178 phenological events observed across a network of 472 monitoring sites, spread across the nations of the former Soviet Union. We show that compared to local rates of advancement of phenological events with the advancement of temperature-related cues (i.e., variation within site over years), spatial variation in reaction norms tend to accentuate responses in spring (cogradient variation) and attenuate them in autumn (countergradient variation). As a result, among-population variation in the timing of events is greater in spring and less in autumn than if all populations followed the same reaction norm regardless of location. Despite such signs of local adaptation, overall phenotypic plasticity was not sufficient for phenological events to keep exact pace with their cues-the earlier the year, the more did the timing of the phenological event lag behind the timing of the cue. Overall, these patterns suggest that differences in the spatial versus temporal reaction norms will affect species' response to climate change in opposite ways in spring and autumn.

SUBMITTER: Delgado MDM

PROVIDER: S-EPMC7733824 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

Delgado Maria Del Mar MDM Roslin Tomas T Tikhonov Gleb G Meyke Evgeniy E Lo Coong C Gurarie Eliezer E Abadonova Marina M Abduraimov Ozodbek O Adrianova Olga O Akimova Tatiana T Akkiev Muzhigit M Ananin Aleksandr A Andreeva Elena E Andriychuk Natalia N Antipin Maxim M Arzamascev Konstantin K Babina Svetlana S Babushkin Miroslav M Bakin Oleg O Barabancova Anna A Basilskaja Inna I Belova Nina N Belyaeva Natalia N Bespalova Tatjana T Bisikalova Evgeniya E Bobretsov Anatoly A Bobrov Vladimir V Bobrovskyi Vadim V Bochkareva Elena E Bogdanov Gennady G Bolshakov Vladimir V Bondarchuk Svetlana S Bukharova Evgeniya E Butunina Alena A Buyvolov Yuri Y Buyvolova Anna A Bykov Yuri Y Chakhireva Elena E Chashchina Olga O Cherenkova Nadezhda N Chistjakov Sergej S Chuhontseva Svetlana S Davydov Evgeniy A EA Demchenko Viktor V Diadicheva Elena E Dobrolyubov Aleksandr A Dostoyevskaya Ludmila L Drovnina Svetlana S Drozdova Zoya Z Dubanaev Akynaly A Dubrovsky Yuriy Y Elsukov Sergey S Epova Lidia L Ermakova Olga S OS Ermakova Olga O Esengeldenova Aleksandra A Evstigneev Oleg O Fedchenko Irina I Fedotova Violetta V Filatova Tatiana T Gashev Sergey S Gavrilov Anatoliy A Gaydysh Irina I Golovcov Dmitrij D Goncharova Nadezhda N Gorbunova Elena E Gordeeva Tatyana T Grishchenko Vitaly V Gromyko Ludmila L Hohryakov Vladimir V Hritankov Alexander A Ignatenko Elena E Igosheva Svetlana S Ivanova Uliya U Ivanova Natalya N Kalinkin Yury Y Kaygorodova Evgeniya E Kazansky Fedor F Kiseleva Darya D Knorre Anastasia A Kolpashikov Leonid L Korobov Evgenii E Korolyova Helen H Korotkikh Natalia N Kosenkov Gennadiy G Kossenko Sergey S Kotlugalyamova Elvira E Kozlovsky Evgeny E Kozsheechkin Vladimir V Kozurak Alla A Kozyr Irina I Krasnopevtseva Aleksandra A Kruglikov Sergey S Kuberskaya Olga O Kudryavtsev Aleksey A Kulebyakina Elena E Kulsha Yuliia Y Kupriyanova Margarita M Kurbanbagamaev Murad M Kutenkov Anatoliy A Kutenkova Nadezhda N Kuyantseva Nadezhda N Kuznetsov Andrey A Larin Evgeniy E Lebedev Pavel P Litvinov Kirill K Luzhkova Natalia N Mahmudov Azizbek A Makovkina Lidiya L Mamontov Viktor V Mayorova Svetlana S Megalinskaja Irina I Meydus Artur A Minin Aleksandr A Mitrofanov Oleg O Motruk Mykhailo M Myslenkov Aleksandr A Nasonova Nina N Nemtseva Natalia N Nesterova Irina I Nezdoliy Tamara T Niroda Tatyana T Novikova Tatiana T Panicheva Darya D Pavlov Alexey A Pavlova Klara K Van Polina P Podolski Sergei S Polikarpova Natalja N Polyanskaya Tatiana T Pospelov Igor I Pospelova Elena E Prokhorov Ilya I Prokosheva Irina I Puchnina Lyudmila L Putrashyk Ivan I Raiskaya Julia J Rozhkov Yuri Y Rozhkova Olga O Rudenko Marina M Rybnikova Irina I Rykova Svetlana S Sahnevich Miroslava M Samoylov Alexander A Sanko Valeri V Sapelnikova Inna I Sazonov Sergei S Selyunina Zoya Z Shalaeva Ksenia K Shashkov Maksim M Shcherbakov Anatoliy A Shevchyk Vasyl V Shubin Sergej S Shujskaja Elena E Sibgatullin Rustam R Sikkila Natalia N Sitnikova Elena E Sivkov Andrei A Skok Nataliya N Skorokhodova Svetlana S Smirnova Elena E Sokolova Galina G Sopin Vladimir V Spasovski Yurii Y Stepanov Sergei S Stratiy Vitalіy V Strekalovskaya Violetta V Sukhov Alexander A Suleymanova Guzalya G Sultangareeva Lilija L Teleganova Viktorija V Teplov Viktor V Teplova Valentina V Tertitsa Tatiana T Timoshkin Vladislav V Tirski Dmitry D Tolmachev Andrej A Tomilin Aleksey A Tselishcheva Ludmila L Turgunov Mirabdulla M Tyukh Yurij Y Van Vladimir V Ershkova Elena E Vasin Aleksander A Vasina Aleksandra A Vekliuk Anatoliy A Vetchinnikova Lidia L Vinogradov Vladislav V Volodchenkov Nikolay N Voloshina Inna I Xoliqov Tura T Yablonovska-Grishchenko Eugenia E Yakovlev Vladimir V Yakovleva Marina M Yantser Oksana O Yarema Yurij Y Zahvatov Andrey A Zakharov Valery V Zelenetskiy Nicolay N Zheltukhin Anatolii A Zubina Tatyana T Kurhinen Juri J Ovaskainen Otso O

Proceedings of the National Academy of Sciences of the United States of America 20201123 49

For species to stay temporally tuned to their environment, they use cues such as the accumulation of degree-days. The relationships between the timing of a phenological event in a population and its environmental cue can be described by a population-level reaction norm. Variation in reaction norms along environmental gradients may either intensify the environmental effects on timing (cogradient variation) or attenuate the effects (countergradient variation). To resolve spatial and seasonal varia ...[more]

PMID: 33229550

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Project description:Local adaptation and its underlying molecular basis has long been a key focus in evolutionary biology. There has recently been increased interest in the evolutionary role of plasticity and the molecular mechanisms underlying local adaptation. Using transcriptome analysis, we assessed differences in gene expression profiles for three brown trout (Salmo trutta) populations, one resident and two anadromous, experiencing different temperature regimes in the wild. The study was based on an F2 generation raised in a common garden setting. A previous study of the F1 generation revealed different reaction norms and significantly higher QST than FST among populations for two early life-history traits. In the present study we investigated if similar reaction norm patterns were present at the transcriptome level. Eggs from the three populations were incubated at two temperatures (5 and 8 degrees C) representing conditions encountered in the local environments. Global gene expression for fry at the stage of first feeding was analysed using a 32k cDNA microarray. The results revealed differences in gene expression between populations and temperatures and population M-CM-^W temperature interactions, the latter indicating locally adapted reaction norms. Moreover, the reaction norms paralleled those observed previously at early life-history traits. We were able to identify 90 cDNA clones among the genes with an interaction effect that were differently expressed between the ecologically divergent populations. These included genes involved in immune- and stress response. We observed less plasticity in the resident as compared to the anadromous populations, possibly reflecting that the degree of environmental heterogeneity encountered by individuals throughout their life cycle will select for variable level of phenotypic plasticity at the transcriptome level. Our study demonstrates the usefulness of transcriptome approaches to identify genes with different temperature reaction norms. The responses observed suggest that populations may vary in their susceptibility to climate change. Brown trout populations from three rivers in Denmark were studied: the Karup (KAR), Norring Moellebaek (NOR) and Lilleaa Rivers (LIL). These rivers experience different temperature regimes during the period lasting from egg incubation until fry emergence. During the autumn of 2004 and the winter of 2004/2005, adults from the three populations were collected by electro fishing. The fish were stripped for milt and eggs to establish an F1 generation. In autumn/winter 2008/2009, mature F1s were used to establish F2 offspring for each of the three populations. For KAR and LIL, 20 full-sib families were established, whereas for NOR, 15 full-sib families were established. Eggs from each full sib family were divided into two pools that were incubated at 5 and 8M-BM-!C in separate hatching troughs. At the time of first feeding (ca. 750-780 day-degrees), 10 individuals from each family and temperature were collected and transferred to separate tubes containing RNAlater (QIAGEN, Hilden, Germany). A 32K cDNA microarray developed for salmonids by cGRASP was used for the analyses. Ten families were randomly selected from each population. From each family two individuals were analyzed for each temperature (5 and 8oC, respectively), amounting to a total of 120 individuals. Of the two individuals from each temperature treatment within a family, one was labeled with CY5 and the other with CY3. For each family there were two comparisons of individuals representing different temperatures, but with dyes swapped between comparisons.

Dataset Information

Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

Publications

Differences in spatial versus temporal reaction norms for spring and autumn phenological events.

Similar Datasets

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