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Effect of genetic relatedness on the allometric relationship between biomass investment and sexual reproduction in clonal plant

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to analyze changes in biomass allocation patterns across genetically structured populations where plants are competing for access to light, we performed glasshouse experiment with controlled genetic identity of competitors. Clonal replicates of 17 Lamium maculatum (L.) genotypes were grown in three treatments: control (low competition for light availability), intraclonal and interclonal competition. It was shown that competition between genetically unrelated individuals (interclonal treatment) was the most stressful environment for Spotted Dead Nettle. Results of allometry analyses, based on standardized major axis (SMA) mathematical procedure, have shown the smallest differences in relative investment to sexual reproduction between larger and smaller individuals when competing with unrelated plants. Our results indicate that allometric relationships between vegetative and reproductive traits could be strongly affected by genetic relatedness of competing plants.
Rocznik
Strony
371--375
Opis fizyczny
Bibliogr. 22 poz.,Rys., tab.,
Twórcy
autor
autor
  • Department of Genetics and Evolution, Faculty of Biology, University of Belgrade, Belgrade, Serbia, bilja@bf.bio.bg.ac.rs
Bibliografia
  • 1. Bonser S.P., Aarssen L. W. 2003 – Allometry and development in herbaceous plants: functional responses of meristem allocation to light and nutrient availability – Am. J. Bot. 90: 404–412.
  • 2. Bonser S.P., Aarssen L.W. 2001 – Allometry and plasticity of meristem allocation throughout development in Arabidopsis thaliana – J. Ecol. 89: 72–79.
  • 3. Born C., Hardy O.J., Chevallier M-H., Ossari S., Attéké C., Wickings E.J., Hossaer t-McKey M. 2008 – Small-scale spatial genetic structure in the Central African rainforest tree species Aucoumea klaineana: a stepwise approach to infer the impact of limited gene dispersal, population history and habitat fragmentation – Mol. Ecol. 17: 2041–2050.
  • 4. Cheplick G.P. 1995 – Life history trade-offs in Amphibromus scabrivalis (Poaceae): allocation to clonal growth, storage and cleistogamous reproduction – Am. J. Bot. 82: 621–629.
  • 5. Cheplick G.P., Kane K.H. 2004 – Genetic relatedness and competition in Triplasis purpurea (Poaceae): resource partitioning or kin selection? – Interntional J. P. Sci. 165: 623–630.
  • 6. Falster D.S., Warton D.I., Wright I.J. 2003 – (S)MATR: Standardized major axis tests and routines – Version 1.0. http://www.bio.mq.edu.au/ecology/SMATR
  • 7. Ghalambor C.K., McKay J.K., Carroll S.P., Reznick D.N. 2007 – Adaptive versus non-adaptive phenotypic plasticity and the potential for contemporary adaptation in new environments – Funct. Ecol. 21: 394–407.
  • 8. Givnish T.J. 1986 – Biomechanical constraints on self-thinning in plant populations – J. Theor. Biol. 119: 139–146.
  • 9. Niklas K. 1994 – Plant allometry: the scaling of form and process – University of Chicago Press, Chicago, 395 pp.
  • 10. Prati D., Schmid B. 2000 – Genetic differentiation of life-history traits within populations of clonal plant Ranunculus reptans – Oikos, 90: 442–456.
  • 11. SAS Institute 2003 – SAS/STAT user’s guide, v. 9.1.3. – SAS Institute, Cary NC.
  • 12. Schmitt J., Wulff R.D. 1993 – Light spectral quality, phytochrome, and plant competition – Trends Ecol. Evol. 8: 47–51.
  • 13. Smith H., Whitelam G.C. 1997 – The shade avoidance syndrome: multiple responses mediated by multiple phytochromes – Plant Cell Environ. 20: 844–849.
  • 14. Sokal R.R., Rohlf F.J. 1995 – Biometry: the principles and practice of statistics in biological research (3rd edition) – W.H. Freeman and Co., New York, XIX + 887 pp.
  • 15. Stearns S.C. 1992 – The evolution of life histories – Oxford Univer. Press, Oxford, XII + 249 pp.
  • 16. Sultan S.E. 1995 – Phenotypic plasticity and plant adaptation – Acta Botanica Neerlandica, 44: 363–383.
  • 17. Thomas S.C., Weiner J. 1990 – Including competitive asymmetry in measures of local interference in plant populations – Oecologia, 80: 349–355.
  • 18. Tucić B., Stojković B. 2001 – Shade avoidance syndrome in Picea omorika seedlings: a growth-room experiment – J. Evol. Biol. 14: 444–455.
  • 19. Van Kleunen M., Fischer M., Schmid B. 2002 – Experimental life-history evolution: selection on the allocation to sexual reproduction and its plasticity in a clonal plant – Evolution, 56: 2168–2177.
  • 20. Via S., Lande R. 1985 – Genotype-environment interaction and the evolution of phenotypic plasticity – Evolution, 39: 505–522.
  • 21. Warton D.I., Wright I.J., Falster D.S, Westoby M. 2006 – Bivariate line-fitting methods for allometry – Biol. Rev. 81: 259–291.
  • 22. Weiner J. 2004 – Allocation, plasticity and allometry in plants – Perspectives Plant Ecol. Evol. Syst. 6: 207–215.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BGPK-2578-9702
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