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      Effects of reproductive resource allocation and pollen density on fertilization success in plants

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          Abstract

          Background

          Declining resources due to climate change may endanger the persistence of populations by reducing fecundity and thus population fitness via effects on gamete production. The optimal mode of generative reproduction allocates the limited resources to ovule and pollen production in proportions that maximize the number of fertilized ovules in the population. In order to locate this optimum and derive reproduction modes that compensate for declined resources to maintain reproductive success, a model of gamete production, pollen dispersal, and ovule fertilization is developed. Specification of opportunities for compensation is given priority over specification of physiological or evolutionary mechanisms of adaptation. Thus model parameters summarize gametic production resources, resource investment per gamete, resource allocation as proportion of resources invested in ovules, and pollen density as size of the pollen dispersal range and proportion of pollen retained within the range. Retained pollen disperses randomly, and an ovule is fertilized if at least one pollen settles on its surface. The outcome is the expected number of fertilized ovules.

          Results

          Maximization of fertilization success is found to require the investment of more gametic production resources in ovules than in pollen, irrespective of the parameter values. Resource decline can be compensated by adjusting the resource allocation if the maximum expected number of fertilized ovules after the decline is not less than the expected number the population experienced before the decline. Compensation is also possible under some conditions by increasing the pollen density, either by raising a low pollen retention or by shrinking the dispersal range.

          Conclusion

          Fertilization success in populations affected by resource decline may be maintainable by adjustment of the sexual allocation of gametic production resources or by increasing pollen density. The results have implications for insect pollination, sexual allocation bias, management measures, and metapopulation fragmentation.

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          Most cited references18

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          POLLEN LIMITATION OF PLANT REPRODUCTION: ECOLOGICAL AND EVOLUTIONARY CAUSES AND CONSEQUENCES

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            POLLEN-OVULE RATIOS: A CONSERVATIVE INDICATOR OF BREEDING SYSTEMS IN FLOWERING PLANTS

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              Genetics of climate change adaptation.

              The rapid rate of current global climate change is having strong effects on many species and, at least in some cases, is driving evolution, particularly when changes in conditions alter patterns of selection. Climate change thus provides an opportunity for the study of the genetic basis of adaptation. Such studies include a variety of observational and experimental approaches, such as sampling across clines, artificial evolution experiments, and resurrection studies. These approaches can be combined with a number of techniques in genetics and genomics, including association and mapping analyses, genome scans, and transcription profiling. Recent research has revealed a number of candidate genes potentially involved in climate change adaptation and has also illustrated that genetic regulatory networks and epigenetic effects may be particularly relevant for evolution driven by climate change. Although genetic and genomic data are rapidly accumulating, we still have much to learn about the genetic architecture of climate change adaptation.
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                Author and article information

                Contributors
                egillet@gwdg.de
                gregorius@ipoeg.de
                Journal
                BMC Ecol
                BMC Ecol
                BMC Ecology
                BioMed Central (London )
                1472-6785
                2 May 2020
                2 May 2020
                2020
                : 20
                : 26
                Affiliations
                [1 ]GRID grid.7450.6, ISNI 0000 0001 2364 4210, Forstgenetik und Forstpflanzenzüchtung. Fakultät Forstwissenschaften und Waldökologie, , Universität Göttingen, ; Büsgenweg 2, 37077 Göttingen, Germany
                [2 ]Institut für ökologische und Populationsgenetik (IPOEG), Am Pfingstanger 58, 37075 Göttingen, Germany
                Article
                290
                10.1186/s12898-020-00290-x
                7208091
                32359373
                6599b3cf-d0a9-4d78-b499-d518ae626653
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 December 2019
                : 11 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: Zi 662/7-1
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Ecology
                climate change,gamete production,mathematical model,ovule fertilization,pollen dispersal,pollen limitation,resource decline,reproduction

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