Genetic diversity and apple leaf spot disease resistance characterization assessed by SSR markers

Abstract

Among the cultivation problems of apple production in Brazil, Apple Leaf Spot (ALS) disease represents one of the main breeding challenges. This study aims at analyzing the genetic diversity among 152 apple scion accessions available at the Apple Gene Bank of EPAGRI, located in Caçador, Santa Catarina/Brazil. Eleven genomic SSR loci were analyzed to assess genetic diversity of ALS resistant and susceptible accessions. Results revealed high genetic diversity of the studied accessions, being 120 exclusive alleles (67 unique) from scion accessions resistant to ALS, and a mean PIC of 0.823. The locus Probability of Identity (I) ranged from 0.017 to 0.089. The combined I was 4.11 x 10^-16, and the Power of Exclusion was 99.99999259%. In addition, the DNA fingerprint patterns will contribute as additional descriptors to select parental for crosses and early identification of apple accessions for breeding purposes, and also for cultivar protection.

Key words:
Colletotrichum gloesporioides; DNA fingerprinting; Malus spp; genetic identity; microsatellite

INTRODUCTION

Brazil is the tenth largest apple producer country, with a total production of 1.335 million tons in 2012 (FAO 2014). However, the growers still face serious limiting problems, such as poor climatic adaptation of the current varieties due to insufficient chilling during the winter. High rainfall, associated with high temperatures, during the growing season are the main causes of development of many serious diseases problems in Southern Brazil. Breeding programs carried out by researchers and germplasm bank curators in this region focus on identifying promising germplasm to be used as parent for specific traits, such as short juvenility, high yield, fruit quality, disease-resistance rootstocks, and for low to moderate chilling requirement (Furlan et al. 2010). In addition, the development of scion cultivars resistant to Apple Leaf Spot disease (ALS) is one of the major challenges for apple breeders in southern states of Brazil. The disease is caused by the fungus Colletotrichum gloeosporioides, which triggers the appearance of several brown patches, followed by intense defoliation of trees, and consequently decrease in fruit production (Weir et al. 2012).

One of the most effective strategies to control ALS is to develop disease-resistant cultivars. In this context, the Apple Gene Bank plays an important role as a source of high genetics (Janick et al. 1996, Hokanson et al. 1997). Malus × domestica Borkh. is one of the most important domesticated fruit species, and its distinct varieties has been submitted to countless crossings and selections over the years. However, a limited number of Malus species has been used up to present for breeding disease resistance, except few breeding programs, like Purdue Rutgers Illinois, USA, and some European apple breeding programs (Korban and Tartarini 2009). The majority of the parents used in breeding programs have explored a strait gene pool, involving crosses among widespread commercial cultivars (Kumar et al. 2010). For instance, the varieties Red Delicious, Golden Delicious and Jonathan, have been frequently utilized on apple breeding, producing several of the current cultivars (Noiton and Alspach 1996). In addition, the selection and release of sport mutants of widespread cultivars have also potentialized the trend towards genetic similarity in today's commercial cultivars (Brooks and Olmo 1994).

The accessibility to diverse apple germplasm is essential for pursuing successful breeding, since it increases the number of allele combinations and allows the development of new cultivars with improved and desirable traits. Consequently, broadening the germplasm used in breeding will increase the diversity in cultivation, avoid genetic vulnerability, and preserve their unique genetic characteristics available in this new genetic combinations for future generations.

In plant germplasm characterization, duplicates and mislabeling of accessions might occur, which are unwanted, costly and time consuming (Gustavsson et al. 2008). In these cases, molecular markers are very useful to detect identical, synonymous and homonymous accessions, and also to help breeders to form their core collections (Gross et al. 2012). In addition, proper identification and characterization of accessions will help better protect cultivars under intellectual property rights and identify parents carrying alleles of interest for apple breeding (Goulão et al. 2001).

The EPAGRI´s Apple Gene Bank (EAGB) contains 442 apple accessions introduced from more than 20 countries. Among them, there are several wild apple species, such as M. aldenhamensis, M. atrosanguinea, M. baccata, M. elley, M. hillieri, M. platicarpa, M. robusta, M. prunifolia, M. pumila, M. floribunda, and 19 M. pumila rootstock accessions. The referred Gene Bank can be then considered a potential source of germplasm for many genetic resistances. There are 33 accessions with vertical resistance to apple scab (Venturia inaequelis). Furlan et al. (2010) also identified 187 resistant and 58 susceptible accessions to Colletotrichum gloeosporioides.

The use of molecular markers has been valuable for assessing species and cultivars' genetic diversity, determining phylogenetic relationships and identifying alleles of interest (Han and Korban 2010). Among the molecular ones, microsatellite markers (SSR-simple sequence repeats) are highly polymorphic, multiallelic, co-dominant, reproducible and are distributed throughout the entire genome, making them ideal for revealing genetic diversity (Morgante et al. 2002). Therefore, the use of molecular markers to access the apple germplasm is a trustworthy tool (Gustavsson et al. 2008, Zhuang et al. 2011, Potts et al. 2012, Reim et al. 2013, Burak et al. 2014). Almost 400 microsatellite markers have already been identified and mapped in Malus and other fruit species (Guilford et al. 1997, Liebhard et al. 2002, Silfverberg-Dilworth et al. 2006, Han and Korban 2008). These molecular markers have been successfully used for assessing the gene pool and relatedness among distinct Malus germplasm (Pereira-Lorenzo et al. 2008, Gasi et al. 2010); and also for identifying loci associated with target alleles and for map-based cloning, regarding their co-dominant heritage and high polymorphism level (Hokanson et al. 1998, Liebhard et al. 2002, Oraguzie et al. 2005, Naik et al. 2006, Han and Korban 2010, Zhuang et al. 2011).

Thus, the primary goal of this work was to assess genetic diversity and relatedness of a large collection of apple germplasm maintained by EPAGRI´s Malus breeding program. The objective was to identify and establish DNA fingerprinting patterns based on SSR markers, and to associate specific alleles and genotypes to ALS resistant and susceptible phenotypic data.

MATERIAL AND METHODS

Plant material and DNA isolation

The 152 apple scion accessions (Table 1) selected for this study represent a wide genetic spectrum containing several target alleles of particular interest to apple breeding in Southern Brazil. The selected apple accessions used in this work are originated from 18 countries and are currently located at EPAGRI - Caçador Experimental Station (lat 26º 49' 07" S, long 50º 59' 07" W, and alt 960 m asl), Caçador, SC, Brazil. Total DNA was extracted from 100 mg of leaf material, based on CTAB method from Doyle and Doyle (1990). DNA quality and quantity were determined by spectrophotometry at 260 nm, using Nanodrop 1000 spectrophotometer (Thermo Scientific, Waltham, MA, USA).

Table 1
Names and country of origin of apple accessions genotypes used in this study

SSR genotyping

All accessions were genotyped using 11 perfect dinucleotide microsatellite loci from seven apple linkage groups (Table 2). PCR reactions were carried out in a 13.75 µL volume containing 40 ng genomic DNA, 1X Taq buffer, 1 U Taq DNA polymerase (Invitrogen, Carlsbad, CA, USA), 0.25 µM of each dNTP (Fermentas, Vilnius, Lithuania), 1.5 mM magnesium chloride and 0.3 µM of each primer pair. A Mastercycler Gradient (Eppendorf, Hamburg, Germany) thermalcycler was used to amplify the eleven SSR loci with the following cycles: 94 ºC for 5 min; followed by 30 cycles at 95 ºC for 30 s; annealing temperature (according to the related literature of each primer) for 1 min; 72 ºC for 1 min; and a final extension of 5 min at 72 ºC. Each 5´ forward oligo was labeled with a fluorophore HEX or 6-FAM to enable the automated genotyping (Table 2). After amplification reactions, PCR products were diluted 10X in ultrapure water in order to be genotyped by capillary electrophoresis in a MegaBACE 1000 DNA Analysis System (GE Healthcare, Little Chalfont, UK).

Table 2
SSRs names, linkage groups, 5´fluorescent modifications, and sequences of the primers used in this study and the expected size range of the amplified fragments

^aLiebhard et al. (2002), ^bGuilford et al. (1997), ^cSilfverberg-Dilworth et al. (2006)

*Fiesta x Discovery apple genetic reference linkage map (Liebhard et al. 2003)

Data analysis

Alleles peaks from raw data were scored by comparison with ET 550-R size standard (GE Healthcare) using Fragment Profiler analysis software version 1.2 (GE Healthcare). Observed and Expected heterozygosity (Ho); number of alleles per locus; allele frequencies; exclusive and unique alleles; Polymorphism Information Content , where pij is the frequency of the jth allele for ith marker (Anderson et al. 1993); Probability of Identity , where p_i and p_j are the frequencies of the ith and jth alleles and i ≠ j), and where n is the sample size, a_i equals Ʃpjⁱ and p_j is the frequency of the jth allele (Paetkau and Strobeck 1994) and Power of Exclusion (Q) (Vandeputte 2012) were calculated using the CERVUS 3.0 software (Kalinowski et al. 2007). Alleles were considered rare when their frequencies were lower than 0.05. A dendrogram was constructed with the use of unweighted pair-group method with arithmetic means - UPGMA (Sneath and Sokal 1973), using the software NTSYSpc version 2.02 (Rohlf 2000), and visualized using FigTree software (tree.bio.ed.ac.uk/software/figtree/).

RESULTS AND DISCUSSION

The eleven genomic SSR loci amplified a total of 242 alleles in the 152 apple accessions (Table 3), with a mean of 22 alleles per locus. Availability of marker data ranged from 99.98% (Ch02b03), 99.99% (Ch02g09 and Ch03c02) to 100% (remaining markers), with a total of 0.42% missing data. The joint analyses of all plants and all loci showed a proportion of heterozygotes to homozygotes of 3.38. When only ALS resistant plants were analyzed (118 accessions), the proportion of heterozygotes to homozygotes was 3.41. Similar proportion value (3.58) was observed for the 34 susceptible accessions. The number of alleles per locus ranged from 16 (Nz02b01) to 29 (Ch01g12) (Table 2). One hundred and twenty alleles (49.59%) were found to be exclusive to resistant accessions, and 13 alleles (5.37%) were exclusive to susceptible accessions (Tables 3 and 4). Exclusive alleles for ALS resistant accessions were found in all SSR markers, with a mean of 10.91 alleles per locus (Table 4). On the other hand, exclusive alleles were also found in six loci for susceptible ALS accessions. A large number of alleles (163 alleles, 67.36 %) were classified as rare alleles (frequency < 0.5%), ranging from 10 (Ch02c11) to 23 (Ch01g12). A total of 67 unique alleles (27.69%) were detected, out of which 30 were detected in ALS resistant, and 37 in susceptible accessions.

Table 3
Primers, observed size range (bp), number of alleles (A), Polymorphism information content (PIC), Observed heterozygosity (Ho), Expected heterozygosity (He), Probability of Identity (I) and Power of Exclusion (Q) for resistant, susceptible and total accessions

• (*) Exclusive alleles between parenthesis
• ** Combined probability of identity for the eight analyzed SSR loci = 4,11x10^-16
• *** Power of exclusion for the eight analyzed SSR loci = 99.99999259%

Table 4
Alleles (bp) identified in 152 accessions in each of the 11 SSRs used in this work

• Dark gray background indicates exclusive alleles for susceptible accessions. Gray background indicates exclusive alleles for resistant accessions.

To measure the informativeness of these markers, the polymorphism information content (PIC) for each SSR locus was calculated. The PIC value varied from 0.740 to 0.907, with mean of 0.823 for resistant accession, and from 0.553 to 0.850 for susceptible accessions, with mean of 0.702. Total PIC values for all markers varied from 0.734 (Nz02b01) to 0.895 (Ch02b10), with mean of 0.820 (Table 3). Although Ch02b10 was the most informative locus, with the highest PIC value, Ch01g12 marker presented the highest number of alleles. Total observed heterozygosity varied from 0.493 (Ch03c02) to 0.868 (Ch05c06), with mean of 0.771. Total expected heterozygosity varied from 0.762 (Ch05c06) to 0.905 (Ch02b10), with mean value of 0.840 (Table 3).

In the present study, it was found 16 to 29 alleles per locus. Higher number of alleles, Ho, PIC (Table 3), and wider size ranges were observed for all SSR markers in this study, when compared to those reported on the original primer note studies (Guilford et al. 1997, Liebhard et al. 2002, Silfverberg-Dilworth et al. 2006). The higher genetic diversity values are mainly related to the great diversity of apple accessions in conjunction with the large sample size (152). Guilford et al. (1997) found 4.5 alleles per locus in 21 apple cultivars; Gianfranceschini et al. (1998) found 8.2 alleles per locus in 19 cultivars, and Coart et al. (2003) found 19.58 alleles per locus in 119 apple genotypes. Oraguzie et al. (2005) found 9.7 alleles per locus in 66 apple rootstocks cultivars; Hokanson et al. (1998) found 12.1 alleles per locus in 142 accessions of 23 Malus species; and Gharghani et al. (2009) found 17 alleles per locus in other 159 apple cultivars and wild species from several geographical origins and species.

High level of genetic diversity was expressed also in terms of total expected heterozygosity (He=0.84). The high level of heterozygosity of the cultivars is in accordance with former studies on M. sylvestris and M. domestica (Coart et al. 2003, Larsen et al. 2006, Koopman et al. 2007). Allelic frequencies showed wide variations, ranging from 0.017 to 0.828. The most frequent alleles were detected in three SSR loci, i.e., Hi02b07, Hi08g06, and CTG1066091, with frequencies higher than 0.8.

It was taken the most diverse cluster of accessions as one cluster. In fact, the accessions of this cluster are 92% genetically different from the remaining accessions. In addition, they are not used in breeding programs, the reason why they diverge so much from the other accessions. Thus, the dendrogram (Figure 1) based on genetic similarity among the 152 accessions showed two major clusters. Only Winter Gold, M. elley and M. atrosanguinea accessions form the first major cluster. M. elley and M. atrosanguinea accessions are wild apples, non-domesticated and share very few alleles with the other major cluster. In addition, these two species have not recently been used for breeding of modern cultivars; however they could be used, since all wild accessions are resistant to ALS. Other wild accessions, such as M. robusta, M. baccata and M. andenhamensis, clustered near the first major cluster. The second major cluster is sub-clustered in several minor ones, with similarity between pairs of accessions ranging from 17% to 86%. The highest similarity value of 86% was found in two pairs of accessions; however, identical accessions were not found. The first pair is formed by Fuji Suprema and Hokuto, and the second pair, by Imperatriz and D1R99T15. This high similarity could be the result of a second backcross generation (BC₂). The dendrogram revealed also that the great majority of susceptible accessions were positioned far from wild resistant accessions. Pairs of accessions sharing 82% of alleles were found five times. In three of these cases, the pair is formed by a resistant and a susceptible accession, suggesting that one or more amplified alleles linked to resistance QTLs may be found at the 18% non-shared alleles (Table 4).

Figure 1
UPGMA dendrogram based on polymorphisms of 11 SSR loci in 152 apple accessions. The red branches indicate susceptibility to Apple Leaf Spot disease (Colletotrichum gloeosporioides), being all other accessions resistant to ALS. The scale represents the dissimilarity coefficient between accessions.

The Power of Exclusion (Q) of 99.99999259% from all combined data set provides reliability to the results as discussed above. In addition, the extremely low Probability of Identity (I) of 4.11x10^-16 provides an unambiguous way to discriminate apple accessions (Table 3). These indices allow cultivar identification by analyzing a relatively smaller number of loci than the 11 that were used in the present work.

Brazilian apple breeding programs are in constant need of new resistant scion cultivars which include fruit quality traits. Therefore, combining knowledge of the genetic markers with potential link to ALS resistant phenotype could lead to the faster development of ALS resistant cultivars for use in crossbreeding. Marker assisted selection techniques could make use of such markers associated to ALS resistant phenotypes for further analysis of their genetic linkage and chromosomal location, either for a single locus or quantitative trait loci (QTLs). The development of new ALS resistant cultivars would benefit not only Brazilian and worldwide apple breeders, but also consumers due to the lesser use of pesticides. In addition, the selection of these markers was successful in characterizing a reasonable large number of apple accessions, which could be of great use to other apple germplasm curators worldwide. Nonetheless, further works should be carried out in order to characterize the interaction between resistant accessions and environmental conditions by performing phenotypic analysis in farms.

ACKNOWLEDGEMENTS

To the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for the scholarships granted to GHFK and RON, to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for the scholarship granted to SZAF and AÇÃO TRANSV/ICTS/ EMPRESAS/Ed 2007/2013 of FINEP.

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Publication Dates

• Publication in this collection
  Sept 2016

History

• Received
  21 Aug 2015
• Accepted
  28 Mar 2016