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Cucurbit Genetics Cooperative Report 19:7-9 (article 3) 1996

J.E. Staub
Vegetable Crops Research, USDA/ARS, Department of Horticulture, University of Wisconsin-Madison, WI 53706 U.S.A.

The proceedings of the international symposium entitled “Cucurbitaceae ’94: Evaluation and enhancement of cucurbit germplasm” was published in 1995. Information was omitted from a report of the proceedings entitled “Problems associated with map construction and the use of molecular markers in plant improvement” (1). The information omitted was present in tables which described the results of a survey of vegetable breeders asked to comment on their use of molecular markers for map construction. Because I believe that this survey was a relatively accurate description of the feelings of vegetable breeders at that time, it forms a historical record that should be preserved. Thus, I repeat the text of the article below dealing with this survey and present herein the tables that were omitted from the symposium report.

A survey was conducted in which a group of 25 plant breeders and geneticists (U.S. and Europe) who employ molecular markers for map construction were asked to identify the marker types they use, the level of polymorphism they observe and the intended use of these markers (Table 1). Researchers in this sampling were not currently using AFLPs, SCARs, microsatellites or CAPs for map construction and/or board-based genetic analysis. It was clear from their responses that no one marker type currently under study (i.e., isozyme,. RAPD, or RFLP) was preferred, and that the level of polymorphism depended on the species and the marker type utilized. While the level of polymorphisms in apple, Brassica spp., maize, pea, potato, radish and soybean are relatively high (20 – ~ 100% bands polymorphic) depending on marker type, polymorphisms in chickpea, cucumber, lentil, onion, pepper and tomato are considerably lower (0-20%). Researchers intend to use the variation observed at the protein and DNA level to select for economically important qualitative (e.g., disease and insect resistance) and quantitative (e.g., yield and quality components) traits. Several problems such as the low levels of polymorphism (all marker types) observed in some crops species, the reproducibility and repeatability of RAPDs (e.g., Brassica spp., pepper, melon), complex banding patterns (e.g. RFLPs in onions), the genetics of the organism (e.g., carrot, garlic), and procedural and technical constraints (e.g., automation for large scale screening purposes) may not impede the implementation of marker technologies (Table 2).

Table 1. Relative abundance of molecular marker polymorphisms in an array of crop species.

Polymorphism (%)z

Mapped marker (no.)

Crop

Isozyme

RAPD

RFLP

Isozyme

RAPD

RFLP

Intended use for marker assisted selection

Alfalfa -60 60-75 80 60 Forage yield & quality, disease resistance
Alfalfa 59-75 100 Winter survival, yield
Apple 30-60 -100 30-50 -30 >400 10 Fungal resistance, cold tolerance
Barley 5-20 10-30 30-50 -30 >400 10 Disease resistance, cold tolerance
Bean 10-30 25-40 10-30 -10 -200 2 Phyotoperiod response, fungal resistance, yield, biomass
Bean 10-50 30-50 40-80 11 20 >700 Disease resistance, quality factors, drought resistance
Carrot 20-40 10-30 30-40 Disease resistance
Cauliflower 60-70 15 250 Cytoplasmic male sterility
Chickpea 0-2 2-10 0-2 10 20 10 Aschochyta blight resistance, drought resistance
Cucumber 0-30 5-10 5-10 21 -100 -70 Disease resistance, plant habit, yield components
B. oleracea 46-88 150 Maturity time, yield
B. rapas 62-87 150 Maturity time, yield
B. napas 46-61 150 Maturity time, yield
Garlic 0-30 Clove quality, disease resistance, fertility restoration
Lentil 5-10 10-20 5-10 20 30 30 Aschochyta blight resistance, winter hardiness
Maize 25-50 40-80 40-80 >40 >1000 Grain yield
Melon 0-5 20
Onion 5-10 10-20 10 Fertility restoration, bulb color & quality
Pea 20-40 50-75 20-50 -30 >600 -30 Virus & fungal resistance, nitrogen fixation
Pea 10-15 10-20 10-20 25 45 35 Virus resistance, drought resistance
Pepper -10 40 900
Pepper 0-15 0-40 30
Potato >80 >80 50-60 15 >60 >100 Dry matter, dormancy, sugar levels, yield components
Radish 40 73 2 63 Yellow’s & mosaic resistance, bolting
Soybean -15 -10 20-50 10 12 500 Disease resistance, iron chlorosis, protein & oil content, photoperiod
Tomato -10 40 1000 Increased shelflife
Tomato 0-5 0-5 10-30 1000 White fly resistance
Tomato 0-25 0-10 100

RFLP = restriction fragment length polymorphisms, RAPD = random amplified polymorphic DNA.

Table 2. Common problems encountered in molecular marker development in several crop species.

Crop

Marker Classz

Problem

Potential solution

Alfalfa RFLP Probes with complex patterns Screen more probes, low copy sequences
Apple RFLP Low level of polymorphism Alternative marker systems
Bean RFLP Low level of polymorphism Screen different libraries
Bean RAPD Clustering of mapped markers Alternative marker systems
Brassica RFLP Duplicate loci Microsatelites
Brassica RAPD Rapeatability Alternative marker systems, SCARs
Carrot Morph Lack of true breeding lines Inbreed
Garlic Morph Lack of true breeding lines Development of a true seed system
Celery RFLP Low level of polymorphism Microsatellites
Chickpea RAPD Low level of polymorphism Use wild/unadapted accessions
Cucumber RFLP Low level of polymorphism Alternative marker systems
Cucumber RAPD Low level of polymorphism Alternative marker systems, SCARs
Onion RFLP Probes with complex patterns Screen more probes
Onion RAPD Heterozygous popularions
Pea RFLP Low level of polymorphim Alternative marker systems
Pepper RAPD Repeatabiltiy Alternative marker systems, SCARs
Melon RAPD Repeatability Alternative marker systems, SCARs
Pepper RAPD Low level of polymorphism Screen more primers
Soybean RFLP Low level of polymorphism Alternative marker systems
Tomato RFLP DNA isolation/purification System automation, robotization
Tomato RAPD Low level of polymorphism Screen more primers

z RFLP = restriction fragment length polymorphism, RAPD = random amplified polymorphic DNA, morph – morphological marker.

Literature Cited

  1. Staub, J. 1995. Problems associated with map construction and the use of molecular markers in plant improvement In: Lester, G.E. and J.R. Dunlap, eds. Proceedings Cucurbitaceae ‘;94: Evaluation and enhancement of cucurbit germplasm. p. 86-91.