Prediction of Cacao (Theobroma cacao) Resistance to Moniliophthora spp. Diseases via Genome-Wide Association Analysis and Genomic Selection

被引:39
作者
McElroy, Michel S. [1 ]
Navarro, Alberto J. R. [2 ]
Mustiga, Guiliana [2 ]
Stack, Conrad [2 ]
Gezan, Salvador [3 ]
Pena, Geover [4 ]
Sarabia, Widem [4 ]
Saquicela, Diego [4 ]
Sotomayor, Ignacio [4 ]
Douglas, Gavin M. [5 ]
Migicovsky, Zoe [1 ]
Amores, Freddy [6 ]
Tarqui, Omar [4 ]
Myles, Sean [1 ]
Motamayor, Juan C. [2 ]
机构
[1] Dalhousie Univ, Fac Agr, Dept Plant Food & Environm Sci, Truro, NS, Canada
[2] USDA ARS, MARS, Miami, FL 33131 USA
[3] Univ Florida, Coll Agr & Life Sci, Sch Forest Resources & Conservat, Gainesville, FL USA
[4] Inst Nacl Invest Agropecuarias, Quito, Ecuador
[5] Dalhousie Univ, Fac Med, Dept Microbiol & Immunol, Halifax, NS, Canada
[6] Univ Tecn Estatal Quevedo, Fac Ciencias Agr, Quevedo, Ecuador
来源
FRONTIERS IN PLANT SCIENCE | 2018年 / 9卷
基金
加拿大自然科学与工程研究理事会;
关键词
Theobroma cacao; witches' broom disease; frosty pod rot; SNPs; GWAS; genomic selection; WITCHES-BROOM DISEASE; FROSTY POD; BLACK POD; POPULATION; TRAITS; PERNICIOSA; CHOCOLATE; ACCURACY; SOFTWARE; GENOTYPE;
D O I
10.3389/fpls.2018.00343
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Cacao (Theobroma cacao) is a globally important crop, and its yield is severely restricted by disease. Two of the most damaging diseases, witches' broom disease (WBD) and frosty pod rot disease (FPRD), are caused by a pair of related fungi: Moniliophthora perniciosa and Moniliophthora roreri, respectively. Resistant cultivars are the most effective long-term strategy to address Moniliophthora diseases, but efficiently generating resistant and productive new cultivars will require robust methods for screening germplasm before field testing. Marker-assisted selection (MAS) and genomic selection (GS) provide two potential avenues for predicting the performance of new genotypes, potentially increasing the selection gain per unit time. To test the effectiveness of these two approaches, we performed a genome-wide association study (GWAS) and GS on three related populations of cacao in Ecuador genotyped with a 15K single nucleotide polymorphism (SNP) microarray for three measures of WBD infection (vegetative broom, cushion broom, and chirimoya pod), one of FPRD (monilia pod) and two productivity traits (total fresh weight of pods and % healthy pods produced). GWAS yielded several SNPs associated with disease resistance in each population, but none were significantly correlated with the same trait in other populations. Genomic selection, using one population as a training set to estimate the phenotypes of the remaining two (composed of different families), varied among traits, from a mean prediction accuracy of 0.46 (vegetative broom) to 0.15 (monilia pod), and varied between training populations. Simulations demonstrated that selecting seedlings using GWAS markers alone generates no improvement over selecting at random, but that GS improves the selection process significantly. Our results suggest that the GWAS markers discovered here are not sufficiently predictive across diverse germplasm to be useful for MAS, but that using all markers in a GS framework holds substantial promise in accelerating disease-resistance in cacao.
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页数:12
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