Literature DB >> 32901141

Quantitative genetic architecture of adaptive phenology traits in the deciduous tree, Populus trichocarpa (Torr. and Gray).

Thomas J Richards1,2, Almir Karacic3, Rami-Petteri Apuli4, Martin Weih3, Pär K Ingvarsson4, Ann Christin Rönnberg-Wästljung4.   

Abstract

In a warming climate, the ability to accurately predict and track shifting environmental conditions will be fundamental for plant survival. Environmental cues define the transitions between growth and dormancy as plants synchronise development with favourable environmental conditions, however these cues are predicted to change under future climate projections which may have profound impacts on tree survival and growth. Here, we use a quantitative genetic approach to estimate the genetic basis of spring and autumn phenology in Populus trichocarpa to determine this species capacity for climate adaptation. We measured bud burst, leaf coloration, and leaf senescence traits across two years (2017-2018) and combine these observations with measures of lifetime growth to determine how genetic correlations between phenology and growth may facilitate or constrain adaptation. Timing of transitions differed between years, although we found strong cross year genetic correlations in all traits, suggesting that genotypes respond in consistent ways to seasonal cues. Spring and autumn phenology were correlated with lifetime growth, where genotypes that burst leaves early and shed them late had the highest lifetime growth. We also identified substantial heritable variation in the timing of all phenological transitions (h2 = 0.5-0.8) and in lifetime growth (h2 = 0.8). The combination of additive variation and favourable genetic correlations in phenology traits suggests that populations of cultivated varieties of P. Trichocarpa may have the capability to adapt their phenology to climatic changes without negative impacts on growth.

Entities:  

Year:  2020        PMID: 32901141      PMCID: PMC7784687          DOI: 10.1038/s41437-020-00363-z

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  22 in total

1.  Gene expression in autumn leaves.

Authors:  Rupali Bhalerao; Johanna Keskitalo; Fredrik Sterky; Rikard Erlandsson; Harry Björkbacka; Simon Jonsson Birve; Jan Karlsson; Per Gardeström; Petter Gustafsson; Joakim Lundeberg; Stefan Jansson
Journal:  Plant Physiol       Date:  2003-02       Impact factor: 8.340

2.  Age trajectories of genetic variance in physical functioning: a longitudinal study of Danish twins aged 70 years and older.

Authors:  Kaare Christensen; Henrik Frederiksen; James W Vaupel; Matt McGue
Journal:  Behav Genet       Date:  2003-03       Impact factor: 2.805

3.  Additive and non-additive genetic parameters from clonally replicated and seedling progenies of Eucalyptus globulus.

Authors:  João Costa E Silva; Nuno M G Borralho; Brad M Potts
Journal:  Theor Appl Genet       Date:  2003-12-16       Impact factor: 5.699

4.  The influence of spectral composition on spring and autumn phenology in trees.

Authors:  Craig C Brelsford; Line Nybakken; Titta K Kotilainen; T Matthew Robson
Journal:  Tree Physiol       Date:  2019-06-01       Impact factor: 4.196

5.  Population genomics of Populus trichocarpa identifies signatures of selection and adaptive trait associations.

Authors:  Luke M Evans; Gancho T Slavov; Eli Rodgers-Melnick; Joel Martin; Priya Ranjan; Wellington Muchero; Amy M Brunner; Wendy Schackwitz; Lee Gunter; Jin-Gui Chen; Gerald A Tuskan; Stephen P DiFazio
Journal:  Nat Genet       Date:  2014-08-24       Impact factor: 38.330

6.  Can dominance genetic variance be ignored in evolutionary quantitative genetic analyses of wild populations?

Authors:  Barbara Class; Jon E Brommer
Journal:  Evolution       Date:  2020-06-18       Impact factor: 3.694

7.  Molecular genetics of growth and development in populus. IV. Mapping QTLs with large effects on growth, form, and phenology traits in a forest tree.

Authors:  H D Bradshaw; R F Stettler
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

8.  The control of autumn senescence in European aspen.

Authors:  Yvan Fracheboud; Virginia Luquez; Lars Björkén; Andreas Sjödin; Hannele Tuominen; Stefan Jansson
Journal:  Plant Physiol       Date:  2009-02-06       Impact factor: 8.340

9.  Nucleotide polymorphism and phenotypic associations within and around the phytochrome B2 Locus in European aspen (Populus tremula, Salicaceae).

Authors:  Pär K Ingvarsson; M Victoria Garcia; Virginia Luquez; David Hall; Stefan Jansson
Journal:  Genetics       Date:  2008-02-03       Impact factor: 4.562

10.  Phenotypic plasticity, QTL mapping and genomic characterization of bud set in black poplar.

Authors:  Francesco Fabbrini; Muriel Gaudet; Catherine Bastien; Giusi Zaina; Antoine Harfouche; Isacco Beritognolo; Nicolas Marron; Michele Morgante; Giuseppe Scarascia-Mugnozza; Maurizio Sabatti
Journal:  BMC Plant Biol       Date:  2012-04-03       Impact factor: 4.215

View more
  4 in total

1.  Theory into practice: opportunities & applications of quantitative genetics in plants.

Authors:  Alison R Bentley; Lindsey J Compton
Journal:  Heredity (Edinb)       Date:  2020-11-09       Impact factor: 3.832

2.  Isoprene enhances leaf cytokinin metabolism and induces early senescence.

Authors:  Kaidala Ganesha Srikanta Dani; Susanna Pollastri; Sara Pinosio; Michael Reichelt; Thomas D Sharkey; Jörg-Peter Schnitzler; Francesco Loreto
Journal:  New Phytol       Date:  2021-12-20       Impact factor: 10.323

3.  Assisted migration is plausible for a boreal tree species under climate change: A quantitative and population genetics study of trembling aspen (Populus tremuloides Michx.) in western Canada.

Authors:  Chen Ding; Jean S Brouard
Journal:  Ecol Evol       Date:  2022-10-05       Impact factor: 3.167

4.  The genetic basis of adaptation in phenology in an introduced population of Black Cottonwood (Populus trichocarpa, Torr. & Gray).

Authors:  Rami-Petteri Apuli; Thomas Richards; Martha Rendón-Anaya; Almir Karacic; Ann-Christin Rönnberg-Wästljung; Pär K Ingvarsson
Journal:  BMC Plant Biol       Date:  2021-07-02       Impact factor: 4.215

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.