Cross-resistance against diseases and insects in a breeding population of Pinus pinaster

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Cross-resistance against diseases and insects in a breeding population of Pinus pinaster A. Solla 1, M. Vivas 1, E. Cubera 1, L. Sampedro 2, X. Moreira 2, E. Merlo 3, R. de la Mata 4, R. Zas 4 * 1 Universidad de Extremadura, Spain 2 CIF Lourizán, Spain 3 CIS Madeira, Spain 4 MBG-CSIC, Spain rzas@cesga.es Genetics of Host-Parasite Interactions in Forestry, 2011, Eugene, Oregon, USA

1. Introduction + Plant microbe interactions Plant herbivore interactions

1. Introduction + Trees have a broad arsenal of defensive traits Synergistic interactions Trade-offs among different plant defenses or among redundant plant defense strategies Agrawal and Fishbein 2006, Ecology Trade-offs among defenses, growth or reproduction Herms and Mattson 1992, Quarterly Rev Biol Stem oleoresin Family means Growth Sampedro et al 2011 J Ecol

1. Introduction + Cross-resistance: Resistance against many classes of insects and pathogens Rippi et al. 2005. Can J For Res; Andrew et al. 2007. Oecologia MULTIPLE RESISTANCE Cross-resistance: Exposure of trees to low levels of one stress can induce a subsequent increase in resistance to the same or unrelated stress Eyles et al. 2010. New Phytol time CROSS-PROTECTION

Fusarium oxysporum Fusarium circinatum Armillaria ostoyae Thaumetopoea pityocampa Dioryctria sylvestrella Hylobious abietis Water stress Pinus pinaster MULTIPLE RESISTANCE? Field experiments CROSS-PROTECTION? Induction experiments

La 2. Objectives seca + (i) Put together data from several independent experiments of the same genetic material and explore whether resistances to an array of different pests and diseases are genetically related (ii) Determine at what extent resistances are genetically related with quantitative defensive traits (iii) Check for possible trade-offs between resistances and other fitness related traits such as growth and cone production (iv) Identify genotypes with multiple resistances, or genotypes able to show cross-protection, to be used for breeding

La 3. Materials seca and methods + 3.1 Plant material 39 Pinus pinaster plus trees 1 unimproved seed lot

La 3. Materials seca and methods + 3.2 Susceptibility to diseases and insects Fusarium oxysporum Leaf pathogen Leaf damage Martíns et al. 2008, SECF Congress Fusarium circinatum Stem pathogen Mortality Vivas et al. 2011, Forestry Armillaria ostoyae Rot root pathogen Mortality Zas et al. 2007, Forestry

La 3. Materials seca and methods + 3.2 Susceptibility to diseases and insects Thaumetopoea pityocampa Lepidoptera: Thaumetopoeidae Dioryctria sylvestrella Lepidoptera: Pyralidae Leaf damage Unpublished results Stem damage Vidal et al. 2005. SECF Congress Hylobious abietis Coleoptera: Curculionidae Debarked area Zas et al. 2005, Annals For Sci

La 3. Materials seca and methods + 3.3 Susceptibility to water stress 0.5-year-old seedlings daily watered Treatment: 3 weeks under drought and 30ºC Mean mortality (%) 3.4 Tree traits Root assessment (fine root length) Early plant growth Tree growth Cone production Cubera et al. 2009 Soil Till Res

La 3. Materials seca and methods + 3.5 Chemical defense traits Diterpenes Total phenolics Condensed tanins Starch Soluble sugars toxicity nutritional quality CONSTITUTIVE INDUCED Moreira et al., 2009. Env Exp Bot Inducibility: MeJa f (INDUCED) CTR f (CONSTITUTIVE)

La 3. Materials seca and methods + Data processing and statistical analysis Breeding values were estimated independently in each trial Normalization of scores, 0 (most susceptible), 1 (most tolerant) Pearson s correlations between breeding values among resistance scores between resistance scores and traits

La 4. Results seca and discussion + Disease and insect resistance are genetically variable Variable h 2 i Reference Fusarium oxysporum Leave damage 0.23 Martíns et al., 2008. SECF Congress Fusarium circinatum Mortality 0.45 Vivas et al., 2011. Forestry Armillaria ostoyae Mortality 0.35 Zas et al., 2007. Forestry Thaumetopoea pityocampa Leave damage 0.08 Unpub. results Dioryctria sylvestrella Stem damage 0.17 Vidal et al., 2005. SECF Congress Hylobious abietis Stem damage 0.23 Zas et al., 2005. Annals For Sci Water stress Mortality 0.31 Unpub. results

La 4. Results seca and discussion + Relationships between resistances Blakeslee et al. 1982. Phytopathology Wargo and Harrington, 1991. Armillaria USDA book * P < 0.10 ** P < 0.05 *** P < 0.01 ns = not significant

La 4. Results seca and discussion + Resistances vs other traits Resistance Trade-off? Growth trait

La 4. Results seca and discussion + Resistances vs chemical defense traits

La 4. Results seca and discussion + Ranking of clones (water stress score excluded) 1,0 RESISTANT SUSCEPTIBLE 0,8 0,6 0,4 0,2 0,0 Control 2043 1049 2026 2076 2064 2062 1030 2004 2054 2021 2001 2002 2070 1050 1033 1036 2013 2082 2042 2050 2077 2053 1011 1046 2031 2051 2041 1004 2045 2017 2072 2040 1007 1020 1003 1059 1043 1056 1035 Average resistance score Genotypes Clones

2082 2042 2043 1033 1043 1003 1030 1049 2062 1046 1059 1050 2026 1056 1036 2013 1020 2064 1007 2077 2040 2072 2041 1011 2004 Inducibility of diterpenes 2051 (mg g-1 dry wt) 2050 2053 2045 2002 2017 1004 18 15 12 9 6 3 0 18 15 12 9 6 3 0-3 -6 12 P =0.02 6 0 Resistant Susceptible Cl 12 6 0 12 9 6 3 0 P =0.05-3 R=0.40-6 3 6 9 12 15 18 Resistant Susceptible Constitutive diterpenes (mg g-1 dry wt) Sampedro et al 2011. J Ecology Inducibility of diterpenes (mg g-1 dry wt) Constitutive diterpenes (mg g-1 dry wt) 2053 1011 1046 2077 2045 1004 1007 2051 2064 1020 1036 2072 2004 2002 1049 2050 2041 2026 2013 1050 1003 1043 2040 1056 2017 2062 1059 1033 2082 1030 2043 2042

La 4. Results seca and discussion + Ranking of clones 1,0 RESISTANT SUSCEPTIBLE 0,8 0,6 0,4 0,2 0,0 Control 2043 1049 2026 2076 2064 2062 1030 2004 2054 2021 2001 2002 2070 1050 1033 1036 2013 2082 2042 2050 2077 2053 1011 1046 2031 2051 2041 1004 2045 2017 2072 2040 1007 1020 1003 1059 1043 1056 1035 Average resistance score Clones GENOTYPES WITH MULTIPLE RESISTANCE

18 15 12 9 6 3 RESISTANT SUSCEPTIBLE 0 Constitutive diterpenes (mg g-1 dry wt) 2082 2042 2043 1033 1043 1003 1030 1049 2062 1046 1059 1050 2026 1056 1036 2013 1020 2064 1007 2077 2040 2072 2041 1011 2004 2051 2050 2053 2045 2002 2017 1004 18 15 12 9 6 3 0-3 -6 RESISTANT SUSCEPTIBLE 2053 1011 1046 2077 2045 1004 1007 2051 2064 1020 1036 2072 2004 2002 1049 2050 2041 2026 2013 1050 1003 1043 2040 1056 2017 2062 1059 1033 2082 1030 2043 2042 Inducibility of diterpenes (mg g-1 dry wt) GENOTYPES MORE ABLE TO PRODUCE CROSS PROTECTION Zas et al. PANEL. The potential of breeding for enhanced inducibility in Pinus pinaster and P. radiata

5. Conclusions + 1. Heritabilities of Pinus pinaster are high enough to improve resistance against all the studied pathogens and pests. However, breeding Pinus pinaster for resistance to a particular pathogen would enhance its susceptibility to another pathogen or pest. 2. Although resistances to fungal pathogens were related with resistance to water stress, the Spanish breeding population of P. pinaster was not simultaneously resistant to a wide range of potential enemies. 3. All plus trees were generally more susceptible than the unimproved control. Trade-offs between tree resistances, tree growth and cone production were not general within our breeding population. 4. Clones showing multiple resistances were those showing a low ability to produce cross-protection. On the contrary, clones showing low multiple resistance were able to induce or produce cross-protection. In consequence, cross-resistance applied to breeding trees against multiple enemies should be taken with caution.

Acknowledgements To Patricia Martíns for the technical assistance To Diana Blanco, Beatriz Rodríguez-Morales, Santiago Martínez, Oscar Fontán, Sara Varela and Ana Soliño for their help in plant sampling and assessments To José María Mendaña for the assistance with the greenhouse at Lourizán To Antonio Gallardo, Felisa Covelo and José Antonio Hódar for their help with analyses of phenolics To Carlos Arrabal and Mª Paz Arraiza for their guidance with the analysis of terpenes M. Vivas received a FPU pre-doctoral grant from Ministerio de Ciencia e Innovación Partially supported by PSE31000, RTA2007-100 and AGL2010-18724