A practical method for almond cultivar identification and parental analysis using simple sequence repeat markers
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Abstract
Early and accurate identification of almond [Prunus dulcis (Mill.) D.A. Webb] cultivars is critical to commercial growers and nurseries. Previously published simple sequence repeat loci were examined for their ability to distinguish commonly grown almond cultivars. Twelve highly polymorphic loci were selected for their ability to uniquely identify a set of 18 almond cultivars commonly grown in California, many of which are closely related. These markers also allow an accurate assessment of parent/progeny relationships among cultivars. This system can reliably identify at an early stage of development all major California almond cultivars in current production.
Keywords
Prunus dulcis Microsatellite markers DNA fingerprinting Foundation Plant Services (FPS)Introduction
Almonds are California’s largest tree nut crop and the state produces over 80% of the world’s supply. Total almond production in California was a record 1.47 billion pounds in 2007/2008, a 24% increase over the previous year (ABC 2008). The consistent high demand for California almonds has been met by an increase in acreage planted over each of the past 10 years. In 2007, the estimated bearing acreage was 615,000 (United States Department of Food and Agriculture 2007). The bulk of California almonds are produced by a small number of elite cultivars; ‘Nonpareil’ alone produces nearly 40% of the California crop with most remaining cultivars being cross-compatible pollinizers for this self-sterile crop species. In the diploid almond, self-sterility is controlled by a single major (S-) locus, where haploid pollen containing an S-allele in common with either self or cross-pollinated pistils will result in failure of pollen growth to fertilization. Consequently, over 30% of the remaining production is from only four cultivars: ‘Carmel’, ‘Butte’, ‘Monterey’ and ‘Padre’ (ABC 2008) which are all fully cross-compatible with ‘Nonpareil’ and, with the exception of the intersterile ‘Butte’ and ‘Monterey’ combination, are inter-compatible with each other (Barckley et al. 2006). With substantial new plantings each year of proven inter-compatible cultivars, correct cultivar identification is critical to the continuing success of the industry. However, cultivar identification using morphological characteristics is difficult because trees are planted before distinguishing traits develop.
Simple sequence repeats (SSRs) are used widely for cultivar identification of other woody, clonally propagated crops such as grape and walnut (Dangl et al. 2001; Dangl et al. 2005). Foundation Plant Services (FPS) is a service department based in the College of agriculture and environmental sciences at the University of California, Davis. Its mission is to produce, test, maintain, and distribute disease-tested propagation material for use by nurseries and growers throughout the US and worldwide. FPS houses and maintains the foundation collections for the California Department of Food and Agriculture’s (CDFA) registration and certification programs for grapevines, deciduous fruit and nut trees, and strawberries. FPS stock qualifies and serves as primary foundation source material for commercial increase for entire industries. Proper identification of cultivars is a critical aspect of FPS’s mission.
A major benefit of using DNA markers is that trees can be identified at any developmental stage. SSR markers have been developed for Prunus, including almonds (Martínez-Gómez et al. 2003; Mnejja et al. 2005; Wünsch and Hormaza 2002). However, those reports did not describe streamlined protocols and markers specifically screened for efficient almond cultivar identification. In particular, they did not publish specific allelic data to facilitate development of a universal database of almond SSR marker profiles.
Here we describe an SSR marker system that distinguishes among all commercially important almond cultivars presently grown in California. The small study set contains many closely related cultivars, a particular challenge for a DNA marker-based identification system. The profiles published here uniquely identify all almond cultivars represented in the collection presently maintained by FPS. The procedures presented can be expected to distinguish among all other almond cultivars, and represents a practical system for almond cultivar identification at any developmental stage.
Materials and methods
Almond cultivars used in this study
| Accession | Source | Accession | Source |
|---|---|---|---|
| ‘ALDRICH’ | FPS, CN1 | ‘PADRE’ | FPS, CN1 |
| ‘BUTTE’ | FPS, CN1 | ‘PEERLESS’ | FPS, CN1 |
| ‘CARMEL’ | FPS, CN1 | ‘PRICE’ | FPS |
| ‘FRITZ’ | FPS, CN1 | ‘RUBY’ | FPS, CN1 |
| ‘KAPAREIL’ | FPS | ‘SOLONO’a | CN2, WEO |
| ‘KOCHI’ | FPS | ‘SONORA’ | FPS, CN1 |
| ‘MISSION’ | FPS, CN1 | ‘SWEETHEART’ | FPS |
| ‘MONTEREY’ | FPS, CN1 | ‘THOMPSON’a | CN2, CO2, WEO |
| ‘NE PLUS ULTRA’ | FPS | ‘TITAN’ | FPS |
| ‘NONPAREIL’ | FPS, CN1 | ‘WINTERS’ | FPS |
| ‘NORMAN’a | CO1 |
Results and discussion
Origin and citations for tested loci
| Locus | Origin | Reference |
|---|---|---|
| AMPA100 | Apricot | Hagen et al. 2004 |
| AMPA105 | Apricot | Hagen et al. 2004 |
| AMPA118 | Apricot | Hagen et al. 2004 |
| ssrPaCITA10 | Apricot | Lopes et al. 2002 |
| ssrPaCITA12 | Apricot | Lopes et al. 2002 |
| ssrPaCITA14B | Apricot | Lopes et al. 2002 |
| ssrPaCITA15 | Apricot | Lopes et al. 2002 |
| ssrPaCITA18 | Apricot | Lopes et al. 2002 |
| ssrPaCITA19 | Apricot | Lopes et al. 2002 |
| ssrPaCITA2 | Apricot | Lopes et al. 2002 |
| ssrPaCITA23 | Apricot | Lopes et al. 2002 |
| ssrPaCITA25 | Apricot | Lopes et al. 2002 |
| ssrPaCITA27 | Apricot | Lopes et al. 2002 |
| ssrPaCITA4 | Apricot | Lopes et al. 2002 |
| ssrPaCITA7 | Apricot | Lopes et al. 2002 |
| UDAp-410 | Apricot | Messina et al. 2004 |
| UDAp-411 | Apricot | Messina et al. 2004 |
| UDAp-419 | Apricot | Messina et al. 2004 |
| UDAp-420 | Apricot | Messina et al. 2004 |
| UDP96-001 | Peach | Cipriani et al. 1999 |
| UDP96-003 | Peach | Cipriani et al. 1999 |
| UDP96-005 | Peach | Cipriani et al. 1999 |
| UDP98-407 | Peach | Cipriani et al. 1999 |
| UDP98-409 | Peach | Cipriani et al. 1999 |
| BPPCT 002 | Peach | Dirlewanger et al. 2002 |
| BPPCT 004 | Peach | Dirlewanger et al. 2002 |
| BPPCT 006 | Peach | Dirlewanger et al. 2002 |
| BPPCT 014 | Peach | Dirlewanger et al. 2002 |
| BPPCT 017 | Peach | Dirlewanger et al. 2002 |
| BPPCT 034 | Peach | Dirlewanger et al. 2002 |
| BPPCT 038 | Peach | Dirlewanger et al. 2002 |
| BPPCT 039 | Peach | Dirlewanger et al. 2002 |
| BPPCT 040 | Peach | Dirlewanger et al. 2002 |
| BPPCT 042 | Peach | Dirlewanger et al. 2002 |
| pchgms1 | Peach | Sosinski et al. 2000 |
| pchgms3 | Peach | Sosinski et al. 2000 |
| MA012a | Peach | Yamamoto et al. 2002 |
| MA015a | Peach | Yamamoto et al. 2002 |
| MA017a | Peach | Yamamoto et al. 2002 |
| MA023a | Peach | Yamamoto et al. 2002 |
| MA024a | Peach | Yamamoto et al. 2002 |
| MA027a | Peach | Yamamoto et al. 2002 |
| MA034a | Peach | Yamamoto et al. 2002 |
| MA035a | Peach | Yamamoto et al. 2002 |
| MA040a | Peach | Yamamoto et al. 2002 |
| CPSCT012 | Plum | Mnejja et al. 2004 |
| CPSCT026 | Plum | Mnejja et al. 2004 |
| CPSCT042 | Plum | Mnejja et al. 2004 |
| EMPA015 | Sweet cherry | Clarke and Tobutt 2003 |
| EMPA018 | Sweet cherry | Clarke and Tobutt 2003 |
| EMPaS06 | Sweet cherry | Vaughan and Russell 2004 |
| EMPaS10 | Sweet cherry | Vaughan and Russell 2004 |
| EMPaS12 | Sweet cherry | Vaughan and Russell 2004 |
Results for failed and less polymorphic loci
| Locus | Origin | Reference |
|---|---|---|
| AMPA100 | 4 | In data set |
| AMPA105 | na | No amplification |
| AMPA118 | 1 | Monomorphic |
| ssrPaCITA10 | Na | Amplified artifacts |
| ssrPaCITA14B | 1 | Monomorphic |
| ssrPaCITA15 | 2 | High homoqygosity |
| ssrPaCITA18 | Na | Amplified artifacts |
| ssrPaCITA19 | Na | No amplification |
| ssrPaCITA2 | Na | No amplification |
| ssrPaCITA23 | Na | Amplified artifacts |
| ssrPaCITA25 | 2 | Poor amplification |
| ssrPaCITA27 | 1 | Monomorphic |
| ssrPaCITA7 | 3 | Scoring difficulty |
| UDAp-410 | Na | Amplified artifacts |
| UDAp-411 | Na | No amplification |
| UDAp-419 | Na | No amplification |
| UDAp-420 | 5 | In data set |
| UDP96-001 | 3 | In data set |
| UDP96-005 | 4 | In data set |
| UDP98-407 | Na | Amplified artifacts |
| UDP98-409 | 5 | In data set |
| BPPCT 006 | 3 | Low polymorphism |
| BPPCT 014 | 3 | In data set |
| BPPCT 034 | Na | Amplified 2 loci |
| BPPCT 038 | 6 | In data set |
| BPPCT 042 | 3 | Low polymorphism |
| pchgms1 | 4 | In data set |
| pchgms3 | 5 | In data set |
| MA012a | 3 | In data set |
| MA015a | 3 | Low polymorphism |
| MA017a | Na | Amplified 2 loci |
| MA023a | Na | Amplified artifacts |
| MA034a | 3 | In data set |
| MA035a | Na | No amplification |
| CPSCT026 | 1 | Monomorphic |
| CPSCT042 | 3 | In data set |
| EMPA015 | Na | No amplification |
| EMPA018 | Na | No amplification |
| EMPaS06 | 3 | Scoring difficulty |
| EMPaS10 | Na | No amplification |
| EMPaS12 | Na | No amplification |
Suggested loci for almond cultivar identification
| Locus | Allelesa | Size range (base pairs) | Suggested triplexes | Suggested dye |
|---|---|---|---|---|
| BPPCT 039 | 8 | 122–180 | 1 | 6-FAM |
| BPPCT 004 | 7 | 182–216 | 1 | HEX |
| BPPCT 040 | 8 | 132–148 | 1 | NED |
| BPPCT 002 | 8 | 199–235 | 2 | 6-FAM |
| UDP96-003 | 5 | 99–116 | 2 | HEX |
| MA040a | 7 | 212–259 | 2 | NED |
| ssrPaCITA12 | 6 | 136–158 | 3 | 6-FAM |
| MA024a | 7 | 244–250 | 3 | HEX |
| ssrPaCITA4 | 5 | 129–161 | 3 | NED |
| BPPCT 017 | 5 | 134–168 | 4 | 6-FAM |
| CPSCT012 | 5 | 143–167 | 4 | HEX |
| MA027a | 7 | 115–145 | 4 | NED |
Each primer pair was tested under only one standard set of PCR conditions. More primers pairs might have produced useful results under different PCR conditions. However, our goal was to develop a practical forensic “DNA fingerprinting” method to uniquely characterize all almond cultivars and use this method to confirm the identity of each almond tree in the FPS foundation blocks. Adoption of a single protocol for DNA amplification increases productivity and reduces lab errors.
The goal of this study was to develop a method to uniquely identify all current almond cultivars using automated DNA fragment analysis, to use this method to confirm the identity of the almond cultivars at FPS and to elucidate the relationships of the commercially important cultivars grown in California. This study set represents a very narrow germplasm. Such a limited germplasm is a very good sample set for choosing highly polymorphic markers; however, the resulting data set is not the large, diverse database needed to calculate meaningful allele frequencies for probability analysis.
Allele sizes (in base pairs) for almond cultivar addressed in this study
| Cultivar | BPPCT 004 | BPPCT 039 | BPPCT 040 | BPPCT 002 | UDP96 003 | MA 040a | MA 024a | ssrPaCI TA 012 | ssrPaCI TA 004 | MA 027a | CPSCT 012 | BPPCT 017 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aldrich | 182 196 | 122 130 | 130 142 | 199 233 | 110 114 | 212 227 | 236 236 | 148 148 | 147 155 | 212 145 | 143 167 | 134 168 |
| Butte | 182 196 | 122 130 | 136 146 | 199 233 | 99 114 | 227 259 | 224 236 | 148 158 | 147 155 | 115 145 | 143 151 | 152 166 |
| Carmen | 182 196 | 122 148 | 130 142 | 199 233 | 99 144 | 212 227 | 234 236 | 136 158 | 148 155 | 121 145 | 143 167 | 134 168 |
| Fritz | 194 196 | 142 146 | 130 146 | 199 211 | 110 114 | 221 227 | 224 236 | 148 156 | 129 155 | 131 145 | 143 165 | 134 168 |
| Kapareil | 182 205 | 130 130 | 130 146 | 233 235 | 99 110 | 221 255 | 236 250 | 138 158 | 155 155 | 121 121 | 149 167 | 134 134 |
| Kochi | 182 194 | 142 148 | 142 146 | 211 233 | 99 110 | 225 225 | 224 224 | 156 158 | 155 155 | 115 121 | 151 167 | 134 152 |
| Mission | 196 216 | 122 146 | 130 136 | 199 203 | 108 114 | 227 227 | 234 236 | 136 148 | 129 147 | 141 145 | 143 167 | 166 168 |
| Monterey | 182 216 | 146 148 | 130 142 | 203 233 | 99 114 | 227 259 | 224 234 | 148 158 | 129 155 | 115 141 | 167 167 | 134 168 |
| Ne Plus Ultra | 182 184 | 130 148 | 130 142 | 231 233 | 99 114 | 212 227 | 236 238 | 148 158 | 129 155 | 121 145 | 143 167 | 134 166 |
| Nonpareil | 182 194 | 130 148 | 142 146 | 211 233 | 99 110 | 212 259 | 224 236 | 148 158 | 155 155 | 115 121 | 151 167 | 134 152 |
| Norman | 194 196 | 122 130 | 130 146 | 199 211 | 110 114 | 212 227 | 224 236 | 148 158 | 147 155 | |||
| Padre | 182 196 | 122 180 | 136 142 | 199 209 | 99 108 | 227 227 | 236 244 | 148 148 | 129 147 | 141 145 | 143 149 | 146 168 |
| Peerless | 182 194 | 136 142 | 138 146 | 231 233 | 99 110 | 225 227 | 224 236 | 156 158 | 155 155 | 121 145 | 143 167 | 134 152 |
| Price | 194 196 | 146 148 | 130 146 | 199 211 | 110 114 | 212 227 | 224 236 | 148 148 | 129 155 | 121 141 | 167 167 | 134 166 |
| Ruby | 194 196 | 122 142 | 136 146 | 199 211 | 108 110 | 227 227 | 224 236 | 148 156 | 147 155 | 141 145 | 143 167 | 134 168 |
| Solano | 182 194 | 130 130 | 130 142 | 211 233 | 99 99 | 212 255 | 224 236 | 138 158 | 155 155 | |||
| Sonora | 182 194 | 148 148 | 130 142 | 211 233 | 99 99 | 255 259 | 224 236 | 138 158 | 145 155 | 115 121 | 149 151 | 134 152 |
| Sweetheart | 194 194 | 130 148 | 134 146 | 211 215 | 110 114 | 229 255 | 244 224 | 138 148 | 155 161 | 121 121 | 149 167 | 134 152 |
| Thompson | 194 216 | 122 130 | 130 142 | 203 211 | 99 114 | 212 227 | 224 236 | 136 148 | 147 155 | |||
| Titan | 194 196 | 146 148 | 136 142 | 199 211 | 99 108 | 229 259 | 224 236 | 146 158 | 155 155 | 115 137 | 151 168 | 134 152 |
| Winters | 182 200 | 130 136 | 132 132 | 233 233 | 116 116 | 227 229 | 236 242 | 146 158 | 155 155 | 121 145 | 143 167 | 134 134 |
In addition to allowing an unambiguous identification of almond cultivars, the SSR markers reported here can be used to study cultivar pedigrees. A progeny shares one allele at each locus with each of its parents. This study set of 18 almond cultivars is neither large nor diverse enough to calculate probabilities for parentage analysis. However, a consistent result for both parents and a progeny at all 24 SSR loci provides strong, if not quantifiable, evidence to support the relationship, particularly if it confirms previous reports.
The almond cultivars ‘Aldrich’, ‘Butte’, ‘Carmel’, ‘Monterey’ ‘Norman’, ‘Price’ and ‘Thompson’ have previously been reported to be chance seedling selections probably originating from ‘Nonpareil’ × ‘Mission’ crosses (Asai et al. 1996; Brooks and Olmo 1997). This preliminary characterization was based on early cross-compatibility studies (Kester et al. 1994) where it was shown that most chance-selection cultivars could be grouped into four cross-incompatibility groups (S1S7, S1S8, S5S7, S5S8). These cross-incompatibility genotypes were presumed to be the result from natural crosses between the dominant cultivar ‘Nonpareil’ (S7S8) and the cultivar ‘Mission’ (S1S5) which was the major pollenizer for ‘Nonpareil’ during the early to mid 20th century (Asai et al. 1996; Wood 1925). However, other potential donors of the S1, S5 or S7 allele have now been identified, including ‘Languedoc’ (S1S5), ‘Ne Plus Ultra’ (S1S7), and ‘Peerless’ (S1S6), (Barckley et al. 2006; Lopez et al. 2006) all of which have been reported to be widely planted in California from the late 19th to mid 20th century (Asai et al. 1996; Wood 1925).
Null allele inherited by three ‘Mission’ progeny
| Cultivar | MA 034a initial score | MA 034a correct score | ||
|---|---|---|---|---|
| Misson | 178 | 178 | 178 | Null |
| Carmel | 222 | 222 | 222 | Null |
| Fritz | 226 | 226 | 226 | Null |
| Ruby | 226 | 226 | 226 | Null |
The SSR data does, however, support both ‘Fritz’ and ‘Ruby’ as having the cultivar ‘Peerless’ in their lineage since both have the unique alleles 142 at BPPCT039 and 156 at ssrPaCITA12 markers (Table 5) as well as the unique S6 incompatibility allele. Molecular marker data also support ‘Mission’ as the other parent (Table 5) as does the presence of the S1 incompatibility allele (Barckley et al. 2006). It is assumed the same null allele at MA034a inherited by ‘Carmel’ is also inherited from ‘Mission’ by both ‘Fritz’ and ‘Ruby’ (Table 6).
Similarly, while the recently released cultivar ‘Kochi’ was discovered as a volunteer seedling near a ‘Drake’ almond orchard (Kochi 2004), the SSR data show that it most likely results from a ‘Peerless’ × ‘Nonpareil’ cross. ‘Kochi’ shares one allele at each locus with both ‘Nonpareil’ and ‘Peerless’, including the unique ‘Peerless’ alleles 142 at BPPCT039 and 156 at ssrPaCITA12. ‘Kochi’ also possesses the unique ‘Peerless’ S6-allele (Barckley et al. 2006).
Molecular markers can also support published parentage by analyzing only parent/progeny pairs, which will share one SSR allele at each locus. Though this analysis does not show the direction of descent (which is the parent and which the progeny), it can be used in conjunction with other information to support reported pedigrees. In this study marker data for ‘Padre’ support earlier reports of ‘Mission’ being the seed parent. The data are also consistent with ‘Nonpareil’ being one parent of ‘Kanpareil’, ‘Solano’, ‘Sonora’ and ‘Titan’ (Brooks and Olmo 1997). ‘Titan’s’ seed parent is actually known to be ‘Tardy nonpareil’, a late blooming somatic mutant or “bud-sport” of nonpareil [only rarely are differences between somatic mutants observed with SSR data (Riaz et al. 2002)]. S-allele data are also consistent for the reported parentage of ‘Sonora’, ‘Solano’ and ‘Kapareil’. There are no S-allele data for ‘Titan’ which is used primarily as an almond parent in generating almond x peach hybrid rootstocks. Unique molecular marker patterns were also observed for the recent cultivars ‘Sweetheart’ and ‘Winters’, supporting the reported use of novel germplasm to incorporate improved productivity and pest resistance to these cultivars (Gradziel et al. 2007; Martínez-Gómez et al. 2004).
Conclusion
The goal of this study was to develop a “DNA fingerprinting” method to uniquely identify all almond cultivars and to use this system to confirm the identity of each almond tree in the FPS foundation blocks. Previously published loci were screened with the objective to reduce time and cost of testing. The system developed has streamlined protocols compatible with automated high through-put DNA fragment analysis.
The twelve recommended markers form the basis for a practical method to uniquely identify almond cultivars. The loci show Mendelian inheritance and the profiles are consistent with known parentage and have proven informative in evaluating possible parentage for the many chance seedling selections. The limited database of profiles published here contains all important almond cultivars grown in California. Since these cultivars are readily available worldwide, they provide good reference profiles to facilitate data sharing among different labs.
Notes
Acknowledgments
The authors would like to thank Dr. Mary Lou Mendum for her expert editing of this manuscript. We would also like to thank Robert Woolley of Dave Wilson nursery for generously providing voucher samples.
Open Access
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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