The U.S. germplasm collection for peanut, Arachis hypogaea L., consists of 7432 accessions and contains a great amount of genetic diversity. Information on economically important traits does not exist for most accessions due to the time and labor required for evaluation. The development of a core collection for peanut would provide a subset of accessions that are representative of the entire collection and that, could be extensively examined. The objective of this research was to select a core collection for peanut. Data for the U.S. peanut germplasm collection were obtained from the Germplasm Resources Information Network (GRIN). The entire germplasm collection was then stratified by country of origin and by the amount of available morphological data. When information was available for at least four of the same morphological variables for at least 16 accessions from the same country of origin, then the data for these accessions were analyzed using multivariate statistical analysis. Results allowed the accessions to be clustered into groups which, theoretically, are genetically similar. Random sampling was then used to select ≈ 10% from each group. Accessions with inadequate data for multivariate analysis were selected using a 10% random sample from each country of origin. Accessions from countries having few (≤5) entries in the collection were pooled and a 10% random sample was selected. The resulting 831 accessions form a core collection for peanut. Examination of data for six phenotypic traits indicated that the genetic variation expressed for each trait in the entire collection has been preserved in this core collection. This peanut core collection has many potential uses and should increase the utilization of peanut germplasms resources.

Peanut (Arachis hypogaea L.) is one of the most important oilseed and nutritional crops in the world. To efficiently utilize the germplasm collection, a peanut mini-core containing 112 accessions was established in the United States. To determine the population structure and its impact on marker-trait association, this mini-core collection was assessed by genotyping 94 accessions with 81 SSR markers and two functional SNP markers from fatty acid desaturase 2 (FAD2). Seed quality traits (including oil content, fatty acid composition, flavonoids, and resveratrol) were obtained through nuclear magnetic resonance (NMR), gas chromatography (GC), and high-performance liquid chromatography (HPLC) analysis. Genetic diversity and population structure analysis identified four major subpopulations that are related to four botanical varieties. Model comparison with different levels of population structure and kinship control was conducted for each trait and association analyses with the selected models verified that the functional SNP from the FAD2A gene is significantly associated with oleic acid (C18:1), linoleic acid (C18:2), and oleic-to-linoleic (O/L) ratio across this diverse collection. Even though the allele distribution of FAD2A was structured among the four subpopulations, the effect of FAD2A gene remained significant after controlling population structure and had a likelihood-ratio-based R ( 2 ) (R ( LR ) ( 2 ) ) value of 0.05 (oleic acid), 0.09 (linoleic acid), and 0.07 (O/L ratio) because the FAD2A alleles were not completely fixed within subpopulations. Our genetic analysis demonstrated that this peanut mini-core panel is suitable for association mapping. Phenotypic characterization for seed quality traits and association testing of the functional SNP from FAD2A gene provided information for further breeding and genetic research.

Peanut seeds contain high amounts of oil and protein as well as some useful bioactive phytochemicals which can contribute to human health. The U.S. peanut mini-core collection is an important genetic resource for improving seed quality and developing new cultivars. Variability of seed chemical composition within the mini-core was evaluated from freshly harvested seeds for two years. Oil, fatty acid composition, and flavonoid/resveratrol content were quantified by NMR, GC, and HPLC, respectively. Significant variability was detected in seed chemical composition among accessions and botanical varieties. Accessions were further genotyped with a functional SNP marker from the FAD2A gene using real-time PCR and classified into three genotypes with significantly different O/L ratios: wild type (G/G with a low O/L ratio <1.7), heterozygote (G/A with O/L ratio >1.4 but <1.7), and mutant (A/A with a high O/L ratio >1.7). The results from real-time PCR genotyping and GC fatty acid analysis were consistent. Accessions with high amounts of oil, quercetin, high seed weight, and O/L ratio were identified. The results from this study may be useful not only for peanut breeders, food processors, and product consumers to select suitable accessions or cultivars but also for curators to potentially expand the mini-core collection.

Cultivated peanut (Arachis hypogaea L.) consists of six botanical varieties. Identification of DNA markers associated with botanical varieties would be useful in plant genotyping, germplasm management, and evolutionary studies. We have developed 130 simple sequence repeat (SSR) markers in peanut, 38 of which were used in this study because of their ability in detecting genetic polymorphism among 24 peanut accessions. Eight SSR markers were found useful to classify botanical varieties. Among them, six SSR markers were specific to botanical varieties fastigiata and vulgaris, one to botanical varieties hypogaea and hirsuta, and one to botanical varieties peruviana, and aequatoriana. Also, three of them derived from peanut expressed sequence tags (ESTs) were associated with putative genes. As botanical varieties have different morphological traits and belong to different subspecies in A. hypogaea, these markers might be associated with genes involved in the expression of morphological traits. The results also suggested that SSRs (also called microsatellites) might play a role in shaping evolution of cultivated peanut. Multiplex PCR of botanical variety-specific markers could be applied to facilitate efficient genotyping of the peanut lines.

In cultivated tetraploid peanut (2n = 4x = 40, AABB), the conversion of oleic acid to linoleic acid is mainly catalyzed by the Δ 12 fatty acid desaturase (FAD). Two homoeologous genes (FAD2A and FAD2B) encoding for the desaturase are located on the A and B genomes, respectively. Abolishing or reducing the desaturase activity by gene mutation can significantly increase the oleic acid/ linoleic acid ratio. F435-derived high-oleate peanut cultivars contain two key mutations within the Δ 12 fatty acid desaturase gene which include a 1-bp substitution of G:C→A:T in the A genome and a 1-bp insertion of A:T in the B genome. Both of these mutations contribute to abolishing or reducing the desaturase activity, leading to accumulation of oleate versus linoleate. Currently, detection of FAD2 alleles can be achieved by a cleaved amplified polymorphic sequence marker for the A genome and a real-time polymerase chain reaction (PCR) marker for the B genome; however, detection of these key mutations has to use different assay platforms. Therefore, a simple PCR assay for detection of FAD2 alleles on both genomes was developed by designing allele-specific primers and altering PCR annealing temperatures. This assay was successfully used for detecting FAD2 alleles in peanut. Gas chromatography (GC) was used to determine fatty acid composition of PCR-assayed genotypes. The results from the PCR assay and GC analysis were consistent. This PCR assay is quick, reliable, economical, and easy to use. Implementation of this PCR assay will greatly enhance the efficiency of germplasm characterization and marker-assisted selection of high oleate in peanut.