Akio Ohyama1, Hirotaka Yamaguchi2, Koji Miyatake2, Satomi Negoro3,4, Tsukasa Nunome2, Takeo Saito2, Hiroyuki Fukuoka3,5. 1. National Agriculture and Food Research Organization, Institute of Vegetable and Floriculture Science, 3-1-1 Kannondai, Tsukuba, Ibaraki, 305-8519, Japan. aohyama@affrc.go.jp. 2. National Agriculture and Food Research Organization, Institute of Vegetable and Floriculture Science, 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan. 3. National Agriculture and Food Research Organization, Institute of Vegetable and Tea Science, 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan. 4. Center for Gene Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, 464-8601, Japan. 5. Takii & Company, Limited, 1360 Hari, 520-3231, Konan, Shiga, Japan.
Abstract
BACKGROUND: The appearance quality of the eggplant (Solanum melongena L.) fruit is an important trait that influences its commercial value. It is known that quality traits such as anthocyanin composition and fruit surface pattern are categorical and are inherited simply. However, research examples of gene mapping for the composition (anthocyanin accumulation profile) and the surface pattern in eggplant fruit are limited. METHODS AND RESULTS: To map loci for these traits including the accumulation profiles of two anthocyanins, a widely spreading anthocyanin, delphinidin 3-(p-coumaroyl) rutinoside-5-glucoside (nasunin), and the relatively rare delphinidin 3-glucoside (D3G), we used two F2 intracrossed populations (LWF2 and N28F2). For the LWF2 population, mapping was achieved by reconstructing the linkage map created by Fukuoka et al. [1]. In the case of the N28F2 population, we constructed a linkage map consisting of 13 linkage groups using 238 simple sequence repeats, 75 single-nucleotide polymorphisms. Using the two F2 populations, the nasunin accumulating profile, the striped pattern on the fruit surface, the colors of flowers, fruit, and calyxes, and the D3G accumulating profile were genetically mapped. Furthermore, by utilizing the eggplant reference genome information, mutations in the causative candidate genes for those loci were identified. CONCLUSION: Overall, the results of this study suggest that inactivation of key enzymes of anthocyanin metabolism and the gene orthologous to the tomato u gene are potential causes of observed variety in eggplant appearance traits.
BACKGROUND: The appearance quality of the eggplant (Solanum melongena L.) fruit is an important trait that influences its commercial value. It is known that quality traits such as anthocyanin composition and fruit surface pattern are categorical and are inherited simply. However, research examples of gene mapping for the composition (anthocyanin accumulation profile) and the surface pattern in eggplant fruit are limited. METHODS AND RESULTS: To map loci for these traits including the accumulation profiles of two anthocyanins, a widely spreading anthocyanin, delphinidin 3-(p-coumaroyl) rutinoside-5-glucoside (nasunin), and the relatively rare delphinidin 3-glucoside (D3G), we used two F2 intracrossed populations (LWF2 and N28F2). For the LWF2 population, mapping was achieved by reconstructing the linkage map created by Fukuoka et al. [1]. In the case of the N28F2 population, we constructed a linkage map consisting of 13 linkage groups using 238 simple sequence repeats, 75 single-nucleotide polymorphisms. Using the two F2 populations, the nasunin accumulating profile, the striped pattern on the fruit surface, the colors of flowers, fruit, and calyxes, and the D3G accumulating profile were genetically mapped. Furthermore, by utilizing the eggplant reference genome information, mutations in the causative candidate genes for those loci were identified. CONCLUSION: Overall, the results of this study suggest that inactivation of key enzymes of anthocyanin metabolism and the gene orthologous to the tomato u gene are potential causes of observed variety in eggplant appearance traits.
Authors: Teresa Docimo; Gianluca Francese; Alessandra Ruggiero; Giorgia Batelli; Monica De Palma; Laura Bassolino; Laura Toppino; Giuseppe L Rotino; Giuseppe Mennella; Marina Tucci Journal: Front Plant Sci Date: 2016-01-28 Impact factor: 5.753
Authors: Ying Liu; Yury Tikunov; Rob E Schouten; Leo F M Marcelis; Richard G F Visser; Arnaud Bovy Journal: Front Chem Date: 2018-03-09 Impact factor: 5.221