90 research outputs found
Genetic variation in early fitness traits across European populations of silver birch (Betula pendula)
Given that the ecological niche of tree species is typically narrower for earlier life stages, intraspecific genetic variation at early fitness traits may greatly influence the adaptive response of tree populations to changing environmental conditions. In this study, we evaluated genetic variation in early fitness traits among 12 populations of Betula pendula from a wide latitudinal range in Europe (41-55 degrees N). We first conducted a chamber experiment to test for population differences in germination and the effect of pre-chilling treatment on seed dormancy release. We then established three common gardens spread across the species latitudinal range in order to evaluate levels of quantitative genetic variation and genotype-by-environment interaction at different early life traits. Our results showed significant variation in chamber germination rates among populations (0-60 %), with southern populations exhibiting lower germination. Pre-chilling treatments did not generally improve germination success. Population seedling emergence rates in the field were correlated with chamber germination rates, though being an order of magnitude lower, with an average ranging from 0 to 1.3 % across gardens. Highly significant variation was found in field emergence rates among populations, and between seed-crop years within populations, but not among families within populations. Populations differed in seedling height, diameter, slenderness and budburst date, with significant among-family variation. Population latitude was positively associated with chamber germination rate and with seedling emergence rate in one of the central field sites. Overall, genetic, environmental and demographic factors seem to influence the observed high levels of variation in early fitness traits among B. pendula populations. Our results suggest limited regeneration capacity for the study species under drier conditions, but further field trials with sufficient replication over environments and seed crops will improve our understanding of its vulnerability to climate change
Selection patterns on early-life phenotypic traits in Pinus sylvestris are associated with precipitation and temperature along a climatic gradient in Europe
Understanding the dynamics of selection is key to predicting the response of tree species to new environmental conditions in the current context of climate change. However, selection patterns acting on early recruitment stages and their climatic drivers remain largely unknown in most tree species, despite being a critical period of their life cycle.
We measured phenotypic selection on Pinus sylvestris seed mass, emergence time and early growth rate over 2 yr in four common garden experiments established along the latitudinal gradient of the species in Europe.
Significant phenotypic plasticity and among-population genetic variation were found for all measured phenotypic traits. Heat and drought negatively affected fitness in the southern sites, but heavy rainfalls also decreased early survival in middle latitudes. Climate-driven directional selection was found for higher seed mass and earlier emergence time, while the form of selection on seedling growth rates differed among sites and populations. Evidence of adaptive and maladaptive phenotypic plasticity was found for emergence time and early growth rate, respectively.
Seed mass, emergence time and early growth rate have an adaptive role in the early stages of P. sylvestris and climate strongly influences the patterns of selection on these fitness-related traits.Este estudio ha sido financiado por el programa de investigación e innovación Horizonte 2020 de la Unión Europea, en virtud del acuerdo de subvención nº 676876 (proyecto GenTree).climate adaptationemergence timegrowth ratentraspecific genetic variationnatural selectionphenotypic plasticityseed massseedling mortalityPublishe
Ecological implications of a flower size/number trade-off in tropical forest trees
Peer reviewedPublisher PD
The signatures of Anthropocene defaunation: cascading effects of the seed dispersal collapse
Anthropogenic activity is driving population declines and extinctions of large-bodied, fruit-eating animals worldwide. Loss of these frugivores is expected to trigger negative cascading effects on plant populations if remnant species fail to replace the seed dispersal services provided by the extinct frugivores. A collapse of seed dispersal may not only affect plant demography (i.e., lack of recruitment), but should also supress gene flow via seed dispersal. Yet little empirical data still exist demonstrating the genetic consequences of defaunation for animal-dispersed plant species. Here, we first document a significant reduction of seed dispersal distances along a gradient of human-driven defaunation, with increasing loss of large- and medium-bodied frugivores. We then show that local plant neighbourhoods have higher genetic similarity and smaller effective population sizes when large seed dispersers become extinct (i.e., only small frugivores remain) or are even partially downgraded (i.e., medium-sized frugivores providing less efficient seed dispersal). Our results demonstrate that preservation of large frugivores is crucial to maintain functional seed dispersal services and their associated genetic imprints, a central conservation target. Early signals of reduced dispersal distances that accompany the Anthropogenic defaunation forecast multiple, cascading effects on plant populations
Решение оптимизационных задач для систем массового обслуживання с отказами в условиях неопределенности
Построены математические модели расчета показателей качества функционирования вычислительных
сетей, которые можно представить в виде сетей массового обслуживания с отказами. Сформулированы
задачи оптимизации показателей качества функционирования таких сетей при заданных ограничениях
на максимальную пропускную способность каналов связи и на выделяемые для модернизации сети ресурсы. Построены алгоритмы, которые позволяют решать поставленные оптимизационные задачи в
рамках оговоренных ограничений
Does Landscape Fragmentation Influence Sex Ratio of Dioecious Plants? A Case Study of Pistacia chinensis in the Thousand-Island Lake Region of China
The Thousand-Island Lake region in Zhejiang Province, China is a highly fragmented landscape with a clear point-in-time of fragmentation as a result of flooding to form the reservoir. Islands in the artificial lake were surveyed to examine how population sex ratio of a dioecious plant specie Pistacia chinensis B. was affected by landscape fragmentation. A natural population on the mainland near the lake was also surveyed for comparison. Population size, sex ratio and diameter at breast height (DBH) of individuals were measured over 2 years. More than 1,500 individuals, distributed in 31 populations, were studied. Soil nitrogen in the different populations was measured to identify the relationship between sex ratio and micro-environmental conditions. In accordance with the results of many other reports on biased sex ratio in relation to environmental gradient, we found that poor soil nitrogen areas fostered male-biased populations. In addition, the degree of sex ratio bias increased with decreasing population size and population connectivity. The biased sex ratios were only found in younger individuals (less than 50 years old) in small populations, while a stable 1∶1 sex ratio was found in the large population on the mainland. We concluded that the effects of landscape fragmentation on the dioecious population sex ratio were mainly achieved in relation to changing soil nitrogen conditions in patches and pollen limitation within and among populations. Large populations could maintain a more suitable environment in terms of nutrient conditions and pollen flow, subsequently maintaining a stable sex ratio in dioecious plant populations. Both micro-environmental factors and spatial structure should be considered in fragmented landscape for the conservation of dioecious plant species
Variation of selfing rate and inbreeding depression among individuals and across generations within an admixed Cedrus population
[EN] We investigated the variation and short-term evolution of the selfing rate and inbreeding depression (ID) across three generations within a cedar forest that was established from admixture ca 1860. The mean selfing rate was 9.5%, ranging from 0 to 48% among 20 seed trees (estimated from paternally inherited chloroplast DNA). We computed the probability of selfing for each seed and we investigated ID by comparing selfed and outcrossed seeds within progenies, thus avoiding maternal effects. In all progenies, the germination rate was high (88-100%) and seedling mortality was low (0-12%). The germination dynamics differed significantly between selfed and outcrossed seeds within progenies in the founder gene pool but not in the following generations. This transient effect of selfing could be attributed to epistatic interactions in the original admixture. Regarding the seedling growth traits, the ID was low but significant: 8 and 6% for height and diameter growth, respectively. These rates did not vary among generations, suggesting minor gene effects. At this early stage, outcrossed seedlings outcompeted their selfed relatives, but not necessarily other selfed seedlings from other progenies. Thus, purging these slightly deleterious genes may only occur through within-family selection. Processes that maintain a high level of genetic diversity for fitness-related traits among progenies also reduce the efficiency of purging this part of the genetic load. © 2011 Macmillan Publishers Limited All rights reserved.
Guardar / Salir Siguiente >This work has been partially supported by Grant PPI-00-04 from the Polytechnic University of Valencia (Spain). We thank B Fady and E Klein as well as two anonymous reviewers for their helpful comments on a previous version of the paper. We acknowledge B Jouaud, W Brunetto, F Jean and H Picot for seed collection and processing and laboratory assistance, as well as P Brahic and staff from the Experimental Nursery of Aix-Les Milles for nursery cares.Ferriol Molina, M.; Pichot, C.; Lefevre, F. (2011). Variation of selfing rate and inbreeding depression among individuals and across generations within an admixed Cedrus population. Heredity. 106(1):146-157. https://doi.org/10.1038/hdy.2010.451461571061Barret SH, Eckert CG (1990). Variation and evolution of mating systems in seed plants. In: Kawano S (ed). Biological Approaches and Evolutionary Trends in Plants. Academic Press: London. pp 230–254.Benton TG, Plaistow SJ, Coulson TN (2006). Complex population dynamics and complex causation: devils, details and demography. Proc R Soc B Biol Sci 273: 1173–1181.Bower AD, Aitken SN (2007). Mating system and inbreeding depression in whitebark pine (Pinus albicaulis Engelm.). Tree Genet Genomes 3: 379–388.Byers DL, Waller DM (1999). Do plant populations purge their genetic load? Effects of population size and mating history on inbreeding depression. Annu Rev Ecol Syst 30: 479–513.Cointat M (1996). Le roman du cèdre. Revue Forestière Française 48: 503–526.Collevatti RG, Grattapaglia D, Duvall J (2001). High resolution microsatellite based analysis of the mating system allows the detection of significant biparental inbreeding in Caryocar brasiliense, an endangered tropical tree species. Heredity 86: 60–67.Cottrell JE, White IMS (1995). The use of isozyme genetic markers to estimate the rate of outcrossing in a Sitka pruce (Picea sitchensis (Bong.) Carr.) seed orchard in Scotland. New Forests 10: 111–122.Coulson T, Benton TG, Lundberg P, Dall SRX, Kendall BE (2006). Putting evolutionary biology back in the ecological theatre: a demographic framework mapping genes to communities. Evol Ecol Res 8: 1155–1171.Durel CE, Bertin P, Kremer A (1996). Relationship between inbreeding depression and inbreeding coefficient in maritime pine (Pinus pinaster). Theor Appl Genet 92: 347–356.Eriksson E (2006). Thinning operations and their impact on biomass production in stands of Norway spruce and Scots pine. Biomass Bioenergy 30: 848–854.Fady B, Lefèvre F, Reynaud M, Vendramin GG, Bou Dagher-Karrat M, Anzidei M et al. (2003). Gene flow among different taxonomic units: evidence from nuclear and cytoplasmic markers in Cedrus plantation forests. Theor Appl Genet 107: 1132–1138.Farris MA, Mitton JB (1984). Population density, outcrossing rate, and heterozygote superiority in ponderosa pine. Evolution 38: 1151–1154.Favre-Duchartre M (1970). Des Ovules Aux Graines. Monographie 8. Masson et Cie.: Paris.Franklin EC (1969). Inbreeding Depression in Metrical Traits of Loblolly Pine (Pinus taeda L.) as a Result of Self-pollination. North Carolina State University: Raleigh, NC. Technical report No 40, School of Forest Resources.Gregorius HR, Ziehe M, Ross MD (1987). Selection caused by self-fertilization I. Four measures of self-fertilization and their effects on fitness. Theor Popul Biol 31: 91–115.Hamrick JL, Godt MJ (1989). Allozyme diversity in plant species. In: Brown AHD, Al Kahler MC, Weir BS (eds). Plant Population Genetics, Breeding, and Genetic Resources. Sinauer: Sunderland, MA. pp 43–63.Holsinger KE (1991). Mass-action models of plant mating systems—the evolutionary stability of mixed mating systems. Am Nat 138: 606–622.Husband BC, Schemske DW (1996). Evolution of the magnitude and timing of inbreeding depression in plants. Evolution 50: 54–70.Jones FA, Hamrick JL, Peterson CJ, Squiers ER (2006). Inferring colonization history from analyses of spatial genetic structure within populations of Pinus strobus and Quercus rubra. Mol Ecol 15: 851–861.Kärkkäinen K, Savolainen O (1993). The degree of early inbreeding depression determines the selfing rate at the seed stage: model and results from Pinus sylvestris (Scots pine). Heredity 71: 160–166.Keller LF, Waller DM (2002). Inbreeding effects in wild populations. Trends Ecol Evol 17: 230–241.Klein EK, Lavigne C, Gouyon PH (2006). Mixing of propagules from discrete sources at long distance: comparing an exponential tail to an exponential. BMC Ecol 6: 3.Knowles P, Furnier GR, Aleksiuk MK, Perry DJ (1987). Significant levels of self-fertilization in natural populations of tamarack. Can J Bot 65: 1087–1091.Koelewijn HP, Koski V, Savolainen O (1999). Magnitude and timing of inbreeding depression in Scots pine (Pinus sylvestris L.). Evolution 53: 758–768.Kremer A (1994). Genetic diversity and phenotypic variability of forest trees. Genet Sel Evol 26: s105–s123.Krouchi F, Derridj A, Lefèvre F (2004). Year and tree effect on reproductive organisation of Cedrus atlantica in a natural forest. For Ecol Manage 197: 181–189.Lande R (1988). Genetics and demography in biological conservation. Science 241: 1455–1460.Ledig FT (1986). Heterozygosity, heterosis, and fitness in outbreeding plants. In: Soulé ME (ed). Conservation Biology: the Science of Scarcity and Diversity. Sinauer Ass: Sunderland. pp 77–104.Lee JK, Nordheim EV, Kang H (1996). Inference for lethal gene estimation with application in plants. Biometrics 52: 451–462.Lefèvre F, Fady B, Fallour-Rubio D, Ghosn D, Bariteau M (2004). Impact of founder population, drift and selection on the genetic diversity of a recently translocated tree population. Heredity 93: 542–550.Marquardt PE, Epperson BK (2004). Spatial and population genetic structure of microsatellites in white pine. Mol Ecol 13: 3305–3315.Morgante M, Vendramin GG, Rossi P (1991). Effects of stand density on outcrossing rate in two Norway spruce (Picea abies) populations. Can J Bot 69: 2704–2708.Mosseler A, Major JE, Simpson JD, Daigle B, Lange K, Park YS et al. (2000). Indicators of population viability in red spruce, Picea rubens. I. Reproductive traits and fecundity. Can J Bot 78: 928–940.Naydenov KD, Tremblay FM, Alexandrov A, Fenton NJ (2005). Structure of Pinus sylvestris L. populations in Bulgaria revealed by chloroplast microsatellites and terpenes analysis : provenance tests. Biochem Syst Ecol 33: 1226–1245.Neale DB, Adams WT (1985). The mating system in natural and shelterwood stands of Douglas-fir. Theor Appl Genet 71: 201–207.Notivol E, Garcia-Gil MR, Alia R, Savolainen O (2007). Genetic variation of growth rhythm traits in the limits of a latitudinal cline in Scots pine. Can J For Res 37: 540–551.O’Connell LM, Russell J, Ritland K (2004). Fine-scale estimation of outcrossing in western redcedar with microsatellite assay of bulked DNA. Heredity 93: 443–449.Parducci L, Szmidt AE, Madaghiele A, Anzidei M, Vendramin GG (2001). Genetic variation at chloroplast microsatellites (CpSSRs) in Abies nebrodensis (Lojac.) Mattei and three neighboring Abies species. Theor Appl Genet 102: 733–740.Parraguirre-Lezama C, Vargas-Hernández JJ, Ramirez-Vallejo P, Ramirez Herrera C (2004). Mating system in four natural populations of Pinus greggii Engelm. Agrociencia 38: 107–119.Petit RJ, Hampe A (2006). Some evolutionary consequences of being a tree. Annu Rev Ecol Evol Syst 37: 187–214.Pichot C, Bastien C, Courbet F, Demesure-Musch B, Dreyfus P, Fady B et al. (2006). Déterminants et conséquences de la qualité génétique des graines et semis lors de la phase initiale de régénération naturelle des peuplements forestiers. In: 6e Colloque National du BRG ; La Rochelle 2006/10/02-04. Les Actes du Bureau des Ressources Génétiques 6: 277–297.Remington DL, O’Malley DM (2000a). Whole-genome characterization of embryonic stage inbreeding depression in a selfed loblolly pine family. Genetics 155: 337–348.Remington DL, O’Malley DM (2000b). Evaluation of major genetic loci contributing to inbreeding depression for survival and early growth in a selfed family of Pinus taeda. Evolution 54: 1580–1589.Restoux G, Silva DE, Sagnard F, Torre F, Klein E, Fady B (2008). Life at the margin: the mating system of Mediterranean conifers. Web Ecol 8: 94–102.Ribeiro MM, Mariette S, Vendramin GG, Szmidt AE, Plomion C, Kremer A (2002). Comparison of genetic diversity estimates within and among populations of maritime pine using chloroplast simple-sequence repeat and amplified fragment length polymorphism data. Mol Ecol 11: 869–877.Ritland K, El-Kassaby YA (1985). The nature of inbreeding in a seed orchard of Douglas fir as shown by an efficient multi-locus model. Theor Appl Genet 71: 375–384.Ritland K, Travis S (2004). Inferences involving individual coefficients of relatedness and inbreeding in natural populations of Abies. For Ecol Manage 197: 171–180.Robledo-Arnuncio JJ, Alia R, Gil L (2004). Increased selfing and correlated paternity in a small population of a predominantly outcrossing conifer, Pinus sylvestris. Mol Ecol 13: 2567–2577.Rouault G, Turgeon J, Candau JN, Roques A, Aderkas P (2004). Oviposition strategies of conifer seed chalcids in relation to host phenology. Naturwissenschaften 91: 472–480.Savolainen O, Kärkkäinen K, Kuittinen H (1992). Estimating numbers of embryonic lethals in conifers. Heredity 69: 308–314.Scofield DG, Schultz ST (2006). Mitosis, stature and evolution of plant mating systems: low-Phi and high-Phi plants. Proc R Soc B Biol Sci 273: 275–282.Shaw DV, Allard RW (1982). Estimation of outcrossing rates in douglas-fir using isoenzyme markers. Theor Appl Genet 62: 113–120.Skrøppa T (1996). Diallel crosses in Picea abies. II. Performance and inbreeding depression of selfed families. For Genet 3: 69–79.Sorensen FC (1997). Effects of sib mating and wind pollination on nursery seedling size, growth components, and phenology of Douglas-fir seed-orchard progenies. Can J For Res 27: 557–566.Sorensen FC (1999). Relationship between self-fertility, allocation of growth, and inbreeding depression in three coniferous species. Evolution 53: 417–425.Sorensen FC (2001). Effect of population outcrossing rate on inbreeding depression in Pinus contorta var. murrayana seedlings. Scand J For Res 16: 391–403.Sorensen FC, Adams WT (1993). Self fertility and natural selfing in three Oregon Cascade populations of lodgepole pine. In: Lindgren D (ed). Pinus contorta—From Untamed Forest to Domesticated Crop. Department of Forest Genetics and Plant Physiology, Sweden University of Agricultural Science: Umea, Sweden. Report 11, pp 358–374.Sorensen FC, Miles RS (1974). Self-pollination effects on Douglas fir and ponderosa pine seeds and seedlings. Silvae Genet 23: 135–138.Sorensen FC, Miles RS (1982). Inbreeding depression in height, height growth, and survival of Douglas-fir, ponderosa pine, and noble fir to 10 years of age. For Sci 28: 283–292.Terrab A, Paun O, Talavera S, Tremetsberger K, Arista M, Stuessy TF (2006). Genetic diversity and population structure in natural populations of Moroccan Atlas cedar (Cedrus atlantica; Pinaceae) determined with cpSSR markers. Am J Bot 93: 1274–1280.Vendramin GG, Lelli L, Rossi P, Morgante M (1996). A set of primers for the amplification of 20 chloroplast microsatellites in Pinaceae. Mol Ecol 5: 595–598.White TL, Adams WT, Neale DB (2007). Forest Genetics. CABI Publisher: Cambridge, MA. pp 149–186.Wilcox MD (1983). Inbreeding depression and genetic variances estimated from self- and cross- pollinated families of Pinus radiata. Silvae Genet 32: 89–96.Williams CG (2007). Re-thinking the embryo lethal system within the Pinaceae. Can J Bot 85: 667–677.Williams CG (2008). Selfed embryo death in Pinus taeda: a phenotypic profile. New Phytol 178: 210–222.Williams CG, Auckland LD, Reynolds MM, Leach KA (2003). Overdominant lethals as part of the conifer embryo lethal system. Heredity 91: 584–592.Wilson R (1923). Life history of Cedrus atlantica. Bot Gaz 75: 203–208.Yazdani R, Muona O, Rudin D, Szmidt AE (1985). Genetic structure of a Pinus sylvestris L. seed-tree stand and naturally regenerated understory. For Sci 31: 430–436
Plant ecology meets animal cognition: impacts of animal memory on seed dispersal
We propose that an understanding of animal learning and memory is critical to predicting the impacts of animals on plant populations through
processes such as seed dispersal, pollination and herbivory. Focussing on endozoochory, we review the evidence that animal memory plays a role in seed
dispersal, and present a model which allows us to explore the fundamental consequences of memory for this process. We demonstrate that decision-making by animals based on their previous experiences has the potential to determine which plants are visited, which fruits are selected to be eaten from the plant and where seeds are subsequently deposited, as well as being an important determinant of animal survival. Collectively, these results suggest that the impact of animal learning and memory on seed dispersal is likely to be extremely important, although to date our understanding of these processes suffers from a conspicuous lack of empirical support. This is partly because of the difficulty of conducting appropriate experiments but is
also the result of limited interaction between plant ecologists and those who work on animal cognition
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