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Thorough Characterization of ETHQB3.5, a QTL Involved in Melon Fruit Climacteric Behavior and Aroma Volatile Composition. Foods 2023; 12:foods12020376. [PMID: 36673468 PMCID: PMC9858179 DOI: 10.3390/foods12020376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/15/2023] Open
Abstract
The effect of the QTL involved in climacteric ripening ETHQB3.5 on the fruit VOC composition was studied using a set of Near-Isogenic Lines (NILs) containing overlapping introgressions from the Korean accession PI 16375 on the chromosome 3 in the climacteric 'Piel de Sapo' (PS) genetic background. ETHQB3.5 was mapped in an interval of 1.24 Mb that contained a NAC transcription factor. NIL fruits also showed differences in VOC composition belonging to acetate esters, non-acetate esters, and sulfur-derived families. Cosegregation of VOC composition (23 out of 48 total QTLs were mapped) and climacteric ripening was observed, suggesting a pleiotropic effect of ETHQB3.5. On the other hand, other VOCs (mainly alkanes, aldehydes, and ketones) showed a pattern of variation independent of ETHQB3.5 effects, indicating the presence of other genes controlling non-climacteric ripening VOCs. Network correlation analysis and hierarchical clustering found groups of highly correlated compounds and confirmed the involvement of the climacteric differences in compound classes and VOC differences. The modification of melon VOCs may be achieved with or without interfering with its physiological behavior, but it is likely that high relative concentrations of some type of ethylene-dependent esters could be achieved in climacteric cultivars.
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Development of SLAF-Sequence and Multiplex SNaPshot Panels for Population Genetic Diversity Analysis and Construction of DNA Fingerprints for Sugarcane. Genes (Basel) 2022; 13:genes13081477. [PMID: 36011388 PMCID: PMC9408448 DOI: 10.3390/genes13081477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Abstract
A genetic diversity analysis and identification of plant germplasms and varieties are important and necessary for plant breeding. Deoxyribonucleotide (DNA) fingerprints based on genomic molecular markers play an important role in accurate germplasm identification. In this study, Specific-Locus Amplified Fragment Sequencing (SLAF-seq) was conducted for a sugarcane population with 103 cultivated and wild accessions. In total, 105,325 genomic single nucleotide polymorphisms (SNPs) were called successfully to analyze population components and genetic diversity. The genetic diversity of the population was complex and clustered into two major subpopulations. A principal component analysis (PCA) showed that these accessions could not be completely classified based on geographical origin. After filtration, screening, and comparison, 192 uniformly-distributed SNP loci were selected for the 32 chromosomes of sugarcane. An SNP complex genotyping detection system was established using the SNaPshot typing method and used for the precise genotyping and identification of 180 sugarcane germplasm samples. According to the stability and polymorphism of the SNPs, 32 high-quality SNP markers were obtained and successfully used to construct the first SNP fingerprinting and quick response codes (QR codes) for sugarcane. The results provide new insights for genotyping, classifying, and identifying germplasm and resources for sugarcane breeding
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Lee ES, Kim DS, Kim SG, Huh YC, Back CG, Lee YR, Siddique MI, Han K, Lee HE, Lee J. QTL Mapping for Gummy Stem Blight Resistance in Watermelon ( Citrullus spp.). PLANTS (BASEL, SWITZERLAND) 2021; 10:500. [PMID: 33800297 PMCID: PMC7999335 DOI: 10.3390/plants10030500] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/03/2021] [Accepted: 03/04/2021] [Indexed: 11/29/2022]
Abstract
Watermelon (Citrulluslanatus) is an economically important fruit crop worldwide. Gummy stem blight (GSB) is one of the most damaging diseases encountered during watermelon cultivation. In the present study, we identified quantitative trait loci (QTLs) associated with GSB resistance in an F2 population derived from a cross between maternal-susceptible line '920533' (C. lanatus) and the paternal-resistant line 'PI 189225' (C. amarus). The resistance of 178 F2 plants was assessed by two different evaluation methods, including leaf lesion (LL) and stem blight (SB). To analyze the QTLs associated with GSB resistance, a linkage map was constructed covering a total genetic distance of 1070.2 cM. QTL analysis detected three QTLs associated with GSB resistance on chromosome 8 and 6. Among them, two QTLs, qLL8.1 and qSB8.1 on chromosome 8 identified as major QTLs, explaining 10.5 and 10.0% of the phenotypic variations localizing at same area and sharing the same top markers for both LL and SB traits, respectively. A minor QTL, qSB6.1, explains 9.7% of phenotypic variations detected on chromosome 6 only for the SB trait. High-throughput markers were developed and validated for the selection of resistant QTLs using watermelon accessions, and commercial cultivars. Four potential candidate genes were predicted associated with GSB resistance based on the physical location of flanking markers on chromosome 8. These findings will be helpful for the development of watermelon cultivars resistant to GSB.
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Affiliation(s)
- Eun Su Lee
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Do-Sun Kim
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Sang Gyu Kim
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Yun-Chan Huh
- Herbal Crop Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumseong 27709, Korea;
| | - Chang-Gi Back
- Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea;
| | - Ye-Rin Lee
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Muhammad Irfan Siddique
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Koeun Han
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Hye-Eun Lee
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, Korea; (E.S.L.); (D.-S.K.); (S.G.K.); (Y.-R.L.); (M.I.S.); (K.H.)
| | - Jundae Lee
- Department of Horticulture, Institute of Agricultural Science & Technology, Jeonbuk National University, Jeonju 54896, Korea
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Lian Q, Fu Q, Xu Y, Hu Z, Zheng J, Zhang A, He Y, Wang C, Xu C, Chen B, Garcia-Mas J, Zhao G, Wang H. QTLs and candidate genes analyses for fruit size under domestication and differentiation in melon (Cucumis melo L.) based on high resolution maps. BMC PLANT BIOLOGY 2021; 21:126. [PMID: 33658004 PMCID: PMC7931605 DOI: 10.1186/s12870-021-02904-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Melon is a very important horticultural crop produced worldwide with high phenotypic diversity. Fruit size is among the most important domestication and differentiation traits in melon. The molecular mechanisms of fruit size in melon are largely unknown. RESULTS Two high-density genetic maps were constructed by whole-genome resequencing with two F2 segregating populations (WAP and MAP) derived from two crosses (cultivated agrestis × wild agrestis and cultivated melo × cultivated agrestis). We obtained 1,871,671 and 1,976,589 high quality SNPs that show differences between parents in WAP and MAP. A total of 5138 and 5839 recombination events generated 954 bins in WAP and 1027 bins in MAP with the average size of 321.3 Kb and 301.4 Kb respectively. All bins were mapped onto 12 linkage groups in WAP and MAP. The total lengths of two linkage maps were 904.4 cM (WAP) and 874.5 cM (MAP), covering 86.6% and 87.4% of the melon genome. Two loci for fruit size were identified on chromosome 11 in WAP and chromosome 5 in MAP, respectively. An auxin response factor and a YABBY transcription factor were inferred to be the candidate genes for both loci. CONCLUSION The high-resolution genetic maps and QTLs analyses for fruit size described here will provide a better understanding the genetic basis of domestication and differentiation, and provide a valuable tool for map-based cloning and molecular marker assisted breeding.
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Affiliation(s)
- Qun Lian
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China
| | - Qiushi Fu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Yongyang Xu
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Zhicheng Hu
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Jing Zheng
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Aiai Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China
| | - Yuhua He
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Changsheng Wang
- National Center for Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Shanghai, 200000, China
| | - Chuanqiang Xu
- Shenyang Agricultural University, College of Horticulture, Shenyang, 110866, China
| | - Benxue Chen
- Design Gollege, Zhoukou Normal University, Zhoukou, 466000, China
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Barcelona, Spain
| | - Guangwei Zhao
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
| | - Huaisong Wang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 100081, Beijing, China.
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Gabriel-Ortega J, Burgos-López G, Barahona-Cajape N, Castro-Piguave C, Vera-Tumbaco M, Morán-Morán J. Obtención de semilla híbrida de melón ( Cucumis melo L.) en invernadero. JOURNAL OF THE SELVA ANDINA RESEARCH SOCIETY 2021. [DOI: 10.36610/j.jsars.2021.120100038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Moing A, Allwood JW, Aharoni A, Baker J, Beale MH, Ben-Dor S, Biais B, Brigante F, Burger Y, Deborde C, Erban A, Faigenboim A, Gur A, Goodacre R, Hansen TH, Jacob D, Katzir N, Kopka J, Lewinsohn E, Maucourt M, Meir S, Miller S, Mumm R, Oren E, Paris HS, Rogachev I, Rolin D, Saar U, Schjoerring JK, Tadmor Y, Tzuri G, de Vos RC, Ward JL, Yeselson E, Hall RD, Schaffer AA. Comparative Metabolomics and Molecular Phylogenetics of Melon ( Cucumis melo, Cucurbitaceae) Biodiversity. Metabolites 2020; 10:metabo10030121. [PMID: 32213984 PMCID: PMC7143154 DOI: 10.3390/metabo10030121] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 01/04/2023] Open
Abstract
The broad variability of Cucumis melo (melon, Cucurbitaceae) presents a challenge to conventional classification and organization within the species. To shed further light on the infraspecific relationships within C. melo, we compared genotypic and metabolomic similarities among 44 accessions representative of most of the cultivar-groups. Genotyping-by-sequencing (GBS) provided over 20,000 single-nucleotide polymorphisms (SNPs). Metabolomics data of the mature fruit flesh and rind provided over 80,000 metabolomic and elemental features via an orchestra of six complementary metabolomic platforms. These technologies probed polar, semi-polar, and non-polar metabolite fractions as well as a set of mineral elements and included both flavor- and taste-relevant volatile and non-volatile metabolites. Together these results enabled an estimate of "metabolomic/elemental distance" and its correlation with the genetic GBS distance of melon accessions. This study indicates that extensive and non-targeted metabolomics/elemental characterization produced classifications that strongly, but not completely, reflect the current and extensive genetic classification. Certain melon Groups, such as Inodorous, clustered in parallel with the genetic classifications while other genome to metabolome/element associations proved less clear. We suggest that the combined genomic, metabolic, and element data reflect the extensive sexual compatibility among melon accessions and the breeding history that has, for example, targeted metabolic quality traits, such as taste and flavor.
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Affiliation(s)
- Annick Moing
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - J. William Allwood
- The James Hutton Institute, Environmental & Biochemical Sciences, Invergowrie, Dundee, DD2 5DA Scotland, UK;
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - John Baker
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Michael H. Beale
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Shifra Ben-Dor
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Benoît Biais
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Federico Brigante
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
- Universidad Nacional de Córdoba, Facultad de Ciencias Químicas, Dto. Química Orgánica, Córdoba 5000, Argentina
- CONICET, ICYTAC (Instituto de Ciencia y Tecnologia de Alimentos Córdoba), Córdoba 5000, Argentina
| | - Yosef Burger
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Catherine Deborde
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Alexander Erban
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
| | - Adi Faigenboim
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Amit Gur
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Royston Goodacre
- Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK;
| | - Thomas H. Hansen
- Department of Plant and Environmental Sciences & Copenhagen Plant Science Center, Faculty of Science, University of Copenhagen, DK-1871 Frederiksberg C, Denmark; (T.H.H.); (J.K.S.)
| | - Daniel Jacob
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Nurit Katzir
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Joachim Kopka
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; (F.B.); (A.E.); (J.K.)
| | - Efraim Lewinsohn
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Mickael Maucourt
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Sagit Meir
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Sonia Miller
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Roland Mumm
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
| | - Elad Oren
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Harry S. Paris
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Ilana Rogachev
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.A.); (S.M.); (S.B.-D.)
| | - Dominique Rolin
- INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; (A.M.); (B.B.); (C.D.); (D.J.); (M.M.); (D.R.)
| | - Uzi Saar
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Jan K. Schjoerring
- Department of Plant and Environmental Sciences & Copenhagen Plant Science Center, Faculty of Science, University of Copenhagen, DK-1871 Frederiksberg C, Denmark; (T.H.H.); (J.K.S.)
| | - Yaakov Tadmor
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Galil Tzuri
- Newe Ya‘ar Research Center, Agricultural Research Organization, P. O. Box 1021, Ramat Yishay 3009500, Israel; (A.G.); (N.K.); (E.L.); (E.O.); (H.S.P.); (U.S.); (Y.T.); (G.T.)
| | - Ric C.H. de Vos
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
| | - Jane L. Ward
- Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; (J.B.); (M.H.B.); (S.M.); (J.L.W.)
| | - Elena Yeselson
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
| | - Robert D. Hall
- Business Unit Bioscience, Wageningen University & Research, Post Box 16, 6700AA, Wageningen, Netherlands; (R.M.); (R.D.H.)
- Department of Plant Physiology, Wageningen University & Research, Laboratory of Plant Physiology, Post Box 16, 6700AA, Wageningen, Netherlands
| | - Arthur A. Schaffer
- Institute of Plant Science, Agricultural Research Organization—Volcani Center, Rishon LeZiyyon 7515101, Israel; (Y.B.); (A.F.); (E.Y.)
- Correspondence: ; Tel.: + 972(3)9683646
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Gonzalo MJ, Díaz A, Dhillon NPS, Reddy UK, Picó B, Monforte AJ. Re-evaluation of the role of Indian germplasm as center of melon diversification based on genotyping-by-sequencing analysis. BMC Genomics 2019; 20:448. [PMID: 31159730 PMCID: PMC6547464 DOI: 10.1186/s12864-019-5784-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 05/07/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The importance of Indian germplasm as origin and primary center of diversity of cultivated melon is widely accepted. Genetic diversity of several collections from Indian has been studied previously, although an integrated analysis of these collections in a global diversity perspective has not been possible. In this study, a sample of Indian collections together with a selection of world-wide cultivars to analyze the genetic diversity structure based on Genotype by Sequence data. RESULTS A set of 6158 informative Single Nucleotide Polymorphism (SNP) in 175 melon accessions was generated. Melon germplasm could be classified into six major groups, in concordance with horticultural groups. Indian group was in the center of the diversity plot, with the highest genetic diversity. No strict genetic differentiation between wild and cultivated accessions was appreciated in this group. Genomic regions likely involved in the process of diversification were also found. Interestingly, some SNPs differentiating inodorus and cantalupensis groups are linked to Quantitiative Trait Loci involved in ripening behavior (a major characteristic that differentiate those groups). Linkage disequilibrium was found to be low (17 kb), with more rapid decay in euchromatic (8 kb) than heterochromatic (30 kb) regions, demonstrating that recombination events do occur within heterochromatn, although at lower frequency than in euchromatin. Concomitantly, haplotype blocks were relatively small (59 kb). Some of those haplotype blocks were found fixed in different melon groups, being therefore candidate regions that are involved in the diversification of melon cultivars. CONCLUSIONS The results support the hypothesis that India is the primary center of diversity of melon, Occidental and Far-East cultivars have been developed by divergent selection. Indian germplasm is genetically distinct from African germplasm, supporting independent domestication events. The current set of traditional Indian accessions may be considered as a population rather than a standard collection of fixed landraces with high intercrossing between cultivated and wild melons.
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Affiliation(s)
- Maria José Gonzalo
- Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain
| | - Aurora Díaz
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930, 50059, Zaragoza, Spain
| | - Narinder P S Dhillon
- World Vegetable Center East and Southeast Asia/Oceania, Kasetsart University, Kamphaeng Saen, Nakhon Pathom, 73140, Thailand
| | - Umesh K Reddy
- Department of Biology, Gus R. Douglass Institute, West Virginia State University, Institute, WV, 25112-1000, USA
| | - Belén Picó
- Instituto de Conservación y Mejora de la Agrodiversidad Valenciana, Universitat Politècnica de València (COMAV-UPV), Valencia, Spain
| | - Antonio J Monforte
- Instituto de Biología Molecular y Celular de Plantas, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain.
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A high-density linkage map and QTL mapping of fruit-related traits in pumpkin (Cucurbita moschata Duch.). Sci Rep 2017; 7:12785. [PMID: 28986571 PMCID: PMC5630576 DOI: 10.1038/s41598-017-13216-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 09/19/2017] [Indexed: 12/15/2022] Open
Abstract
Pumpkin (Cucurbita moschata) is an economically worldwide crop. Few quantitative trait loci (QTLs) were reported previously due to the lack of genomic and genetic resources. In this study, a high-density linkage map of C. moschata was structured by double-digest restriction site-associated DNA sequencing, using 200 F2 individuals of CMO-1 × CMO-97. By filtering 74,899 SNPs, a total of 3,470 high quality SNP markers were assigned to the map spanning a total genetic distance of 3087.03 cM on 20 linkage groups (LGs) with an average genetic distance of 0.89 cM. Based on this map, both pericarp color and strip were fined mapped to a novel single locus on LG8 in the same region of 0.31 cM with phenotypic variance explained (PVE) of 93.6% and 90.2%, respectively. QTL analysis was also performed on carotenoids, sugars, tuberculate fruit, fruit diameter, thickness and chamber width with a total of 12 traits. 29 QTLs distributed in 9 LGs were detected with PVE from 9.6% to 28.6%. It was the first high-density linkage SNP map for C. moschata which was proved to be a valuable tool for gene or QTL mapping. This information will serve as significant basis for map-based gene cloning, draft genome assembling and molecular breeding.
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Díaz A, Martín-Hernández AM, Dolcet-Sanjuan R, Garcés-Claver A, Álvarez JM, Garcia-Mas J, Picó B, Monforte AJ. Quantitative trait loci analysis of melon (Cucumis melo L.) domestication-related traits. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2017; 130:1837-1856. [PMID: 28584902 DOI: 10.1007/s00122-017-2928-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 05/26/2017] [Indexed: 05/06/2023]
Abstract
Loci on LGIV, VI, and VIII of melon genome are involved in the control of fruit domestication-related traits and they are candidate to have played a role in the domestication of the crop. The fruit of wild melons is very small (20-50 g) without edible pulp, contrasting with the large size and high pulp content of cultivated melon fruits. An analysis of quantitative trait loci (QTL) controlling fruit morphology domestication-related traits was carried out using an in vitro maintained F2 population from the cross between the Indian wild melon "Trigonus" and the western elite cultivar 'Piel de Sapo'. Twenty-seven QTL were identified in at least two out of the three field trials. Six of them were also being detected in BC1 and BC3 populations derived from the same cross. Ten of them were related to fruit morphological traits, 12 to fruit size characters, and 5 to pulp content. The Trigonus alleles decreased the value of the characters, except for the QTL at andromonoecious gene at linkage group (LG) II, and the QTL for pulp content at LGV. QTL genotypes accounted for a considerable degree of the total phenotypic variation, reaching up to 46%. Around 66% of the QTL showed additive gene action, 19% exhibited dominance, and 25% consisted of overdominance. The regions on LGIV, VI, and VIII included the QTL with more consistent and strong effects on domestication-related traits. QTLs on those regions were validated in BC2S1, BC2S2, and BC3 families, with "Trigonus" allele decreasing the fruit morphological traits in all cases. The validated QTL could represent loci involved in melon domestication, although further experiments as genomic variation studies across wild and cultivated genotypes would be necessary to confirm this hypothesis.
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Affiliation(s)
- Aurora Díaz
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universitat Politècnica de València (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ed. 8E, C/Ingeniero Fausto Elio s/n., 46022, Valencia, Spain
| | - Ana Montserrat Martín-Hernández
- IRTA, Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Parc de Recerca de la UAB, C/Vall de Moronta, Edifici CRAG, Bellaterra (Cerdanyola del Vallés), 08193, Barcelona, Spain
| | - Ramón Dolcet-Sanjuan
- IRTA Fruitcentre, PCiTAL Parc de Gardeny-Edifici Fruitcentre, 25003, Lleida, Spain
| | - Ana Garcés-Claver
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
| | - José María Álvarez
- Unidad de Hortofruticultura, Instituto Agroalimentario de Aragón (IA2) (CITA-Universidad de Zaragoza), Avenida de Montañana 930., 50059, Saragossa, Spain
| | - Jordi Garcia-Mas
- IRTA, Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Parc de Recerca de la UAB, C/Vall de Moronta, Edifici CRAG, Bellaterra (Cerdanyola del Vallés), 08193, Barcelona, Spain
| | - Belén Picó
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n., 46022, Valencia, Spain
| | - Antonio José Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universitat Politècnica de València (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ed. 8E, C/Ingeniero Fausto Elio s/n., 46022, Valencia, Spain.
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Chang CW, Wang YH, Tung CW. Genome-Wide Single Nucleotide Polymorphism Discovery and the Construction of a High-Density Genetic Map for Melon ( Cucumis melo L.) Using Genotyping-by-Sequencing. FRONTIERS IN PLANT SCIENCE 2017; 8:125. [PMID: 28220139 PMCID: PMC5292975 DOI: 10.3389/fpls.2017.00125] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 01/20/2017] [Indexed: 05/27/2023]
Abstract
Although genotyping-by-sequencing (GBS) enables the efficient and low-cost generation of large numbers of markers, the utility of resultant genotypes are limited, because they are enormously error-prone and contain high proportions of missing data. In this study, we generated single nucleotide polymorphism (SNP) markers for 109 recombinant inbred lines of melon (Cucumis melo L.) using the GBS approach and ordered them according to their physical position on the draft double haploid line DHL92 genome. Next, by investigating associations between these SNPs, we discovered that some segments on the physical map conflict with linkage relationships. Therefore, to filter out error-prone loci, 4,110 SNPs in which we have a high degree of confidence were selected as anchors to test independence with respect to unselected markers, and the resultant dataset was then analyzed using the Full-Sib Family Haplotype (FSFHap) algorithm in the software TASSEL 5.2. On the basis of this analysis, 22,933 loci that have an average rate of missing data of 0.281% were used to construct a genetic map, which spans 1,088.3 cM across 12 chromosomes and has a maximum spacing of 6.0 cM. Use of this high-quality linkage map enabled the identification of several quantitative trait loci (QTL) known to control traits in fruit and validated our approach. This study highlights the utility of GBS markers for the identification of trait-associated QTLs in melon and facilitates further investigation of genome structure.
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Affiliation(s)
- Che-Wei Chang
- Department of Agronomy, National Taiwan UniversityTaipei, Taiwan
| | - Yu-Hua Wang
- Crop Science Division, Taiwan Agricultural Research Institute, Council of AgricultureTaichung, Taiwan
| | - Chih-Wei Tung
- Department of Agronomy, National Taiwan UniversityTaipei, Taiwan
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A high-density genetic map for anchoring genome sequences and identifying QTLs associated with dwarf vine in pumpkin (Cucurbita maxima Duch.). BMC Genomics 2015; 16:1101. [PMID: 26704908 PMCID: PMC4690373 DOI: 10.1186/s12864-015-2312-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Accepted: 12/15/2015] [Indexed: 11/17/2022] Open
Abstract
Background Pumpkin (Cucurbita maxima Duch.) is an economically important crop belonging to the Cucurbitaceae family. However, very few genomic and genetic resources are available for this species. As part of our ongoing efforts to sequence the pumpkin genome, high-density genetic map is essential for anchoring and orienting the assembled scaffolds. In addition, a saturated genetic map can facilitate quantitative trait locus (QTL) mapping. Results A set of 186 F2 plants derived from the cross of pumpkin inbred lines Rimu and SQ026 were genotyped using the genotyping-by-sequencing approach. Using the SNPs we identified, a high-density genetic map containing 458 bin-markers was constructed, spanning a total genetic distance of 2,566.8 cM across the 20 linkage groups of C. maxima with a mean marker density of 5.60 cM. Using this map we were able to anchor 58 assembled scaffolds that covered about 194.5 Mb (71.7 %) of the 271.4 Mb assembled pumpkin genome, of which 44 (183.0 Mb; 67.4 %) were oriented. Furthermore, the high-density genetic map was used to identify genomic regions highly associated with an important agronomic trait, dwarf vine. Three QTLs on linkage groups (LGs) 1, 3 and 4, respectively, were recovered. One QTL, qCmB2, which was located in an interval of 0.42 Mb on LG 3, explained 21.4 % phenotypic variations. Within qCmB2, one gene, Cma_004516, encoding the gibberellin (GA) 20-oxidase in the GA biosynthesis pathway, had a 1249-bp deletion in its promoter in bush type lines, and its expression level was significantly increased during the vine growth and higher in vine type lines than bush type lines, supporting Cma_004516 as a possible candidate gene controlling vine growth in pumpkin. Conclusions A high-density pumpkin genetic map was constructed, which was used to successfully anchor and orient the assembled genome scaffolds, and to identify QTLs highly associated with pumpkin vine length. The map provided a valuable resource for gene cloning and marker assisted breeding in pumpkin and other related species. The identified vine length QTLs would help to dissect the underlying molecular basis regulating pumpkin vine growth. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2312-8) contains supplementary material, which is available to authorized users.
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Liu W, Xiao Z, Bao X, Yang X, Fang J, Xiang X. Identifying Litchi (Litchi chinensis Sonn.) Cultivars and Their Genetic Relationships Using Single Nucleotide Polymorphism (SNP) Markers. PLoS One 2015; 10:e0135390. [PMID: 26261993 PMCID: PMC4532366 DOI: 10.1371/journal.pone.0135390] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Accepted: 07/21/2015] [Indexed: 11/19/2022] Open
Abstract
Litchi is an important fruit tree in tropical and subtropical areas of the world. However, there is widespread confusion regarding litchi cultivar nomenclature and detailed information of genetic relationships among litchi germplasm is unclear. In the present study, the potential of single nucleotide polymorphism (SNP) for the identification of 96 representative litchi accessions and their genetic relationships in China was evaluated using 155 SNPs that were evenly spaced across litchi genome. Ninety SNPs with minor allele frequencies above 0.05 and a good genotyping success rate were used for further analysis. A relatively high level of genetic variation was observed among litchi accessions, as quantified by the expected heterozygosity (He = 0.305). The SNP based multilocus matching identified two synonymous groups, 'Heiye' and 'Wuye', and 'Chengtuo' and 'Baitangli 1'. A subset of 14 SNPs was sufficient to distinguish all the non-redundant litchi genotypes, and these SNPs were proven to be highly stable by repeated analyses of a selected group of cultivars. Unweighted pair-group method of arithmetic averages (UPGMA) cluster analysis divided the litchi accessions analyzed into four main groups, which corresponded to the traits of extremely early-maturing, early-maturing, middle-maturing, and late-maturing, indicating that the fruit maturation period should be considered as the primary criterion for litchi taxonomy. Two subpopulations were detected among litchi accessions by STRUCTURE analysis, and accessions with extremely early- and late-maturing traits showed membership coefficients above 0.99 for Cluster 1 and Cluster 2, respectively. Accessions with early- and middle-maturing traits were identified as admixture forms with varying levels of membership shared between the two clusters, indicating their hybrid origin during litchi domestication. The results of this study will benefit litchi germplasm conservation programs and facilitate maximum genetic gains in litchi breeding programs.
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Affiliation(s)
- Wei Liu
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
| | - Zhidan Xiao
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
- College of Life Sciences, South China Normal University, Guangzhou, China
| | - Xiuli Bao
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
- College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, China
| | - Xiaoyan Yang
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
| | - Jing Fang
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
| | - Xu Xiang
- Institute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou, China
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Leida C, Moser C, Esteras C, Sulpice R, Lunn JE, de Langen F, Monforte AJ, Picó B. Variability of candidate genes, genetic structure and association with sugar accumulation and climacteric behavior in a broad germplasm collection of melon (Cucumis melo L.). BMC Genet 2015; 16:28. [PMID: 25886993 PMCID: PMC4380257 DOI: 10.1186/s12863-015-0183-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Accepted: 02/18/2015] [Indexed: 11/15/2022] Open
Abstract
Background A collection of 175 melon (Cucumis melo L.) accessions (including wild relatives, feral types, landraces, breeding lines and commercial cultivars) from 50 countries was selected to study the phenotypic variability for ripening behavior and sugar accumulation. The variability of single nucleotide polymorphisms (SNPs) at 53 selected candidate genes involved in sugar accumulation and fruit ripening processes was studied, as well as their association with phenotypic variation of related traits. Results The collection showed a strong genetic structure, defining seven groups plus a number of accessions that could not be associated to any of the groups (admixture), which fitted well with the botanical classification of melon varieties. The variability in candidate genes for ethylene, cell wall and sugar-related traits was high and similar to SNPs located in reference genes. Variability at ripening candidate genes had an important weight on the genetic stratification of melon germplasm, indicating that traditional farmers might have selected for ripening traits during cultivar diversification. A strong relationship was also found between the genetic structure and phenotypic diversity, which could hamper genetic association studies. Accessions belonging to the ameri group are the most appropriate for association analysis given the high phenotypic and molecular diversity within the group, and lack of genetic structure. The most remarkable association was found between sugar content and SNPs in LG III, where a hotspot of sugar content QTLs has previously been defined. By studying the differences in allelic variation of SNPs within horticultural groups with specific phenotypic features, we also detected differential variation in sugar-related candidates located in LGIX and LGX, and in ripening-related candidates located in LGII and X, all in regions with previously mapped QTLs for the corresponding traits. Conclusions In the current study we have found an important variability at both the phenotypic and candidate gene levels for ripening behavior and sugar accumulation in melon fruit. By combination of differences in allelic diversity and association analysis, we have identified several candidate genes that may be involved in the melon phenotypic diversity. Electronic supplementary material The online version of this article (doi:10.1186/s12863-015-0183-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Carmen Leida
- Research and Innovation Center, Department Genomics and Biology of Fruit Crops, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele, Italy.
| | - Claudio Moser
- Research and Innovation Center, Department Genomics and Biology of Fruit Crops, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele, Italy.
| | - Cristina Esteras
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
| | - Ronan Sulpice
- Max-Planck-Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476, Potsdam, Germany. .,Plant Systems Biology Research Laboratory, Department of Botany and Plant Science, Plant and AgriBiosciences Research Centre, National University of Galway, University Road, Galway, Ireland.
| | - John E Lunn
- Max-Planck-Institute of Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, 14476, Potsdam, Germany.
| | - Frank de Langen
- HMCLAUSE (Business Unit of Limagrain), Station de Mas Saint Pierre, La Galine, 13210, Saint-Rémy-de-Provence, France.
| | - Antonio J Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP), Universitat Politècnica de València (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Ciudad Politécnica de la Innovación (CPI), Ed. 8E, C/Ingeniero Fausto Elio s/n, 46022, Valencia, Spain.
| | - Belen Picó
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain.
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Ren R, Ray R, Li P, Xu J, Zhang M, Liu G, Yao X, Kilian A, Yang X. Construction of a high-density DArTseq SNP-based genetic map and identification of genomic regions with segregation distortion in a genetic population derived from a cross between feral and cultivated-type watermelon. Mol Genet Genomics 2015; 290:1457-70. [PMID: 25702268 DOI: 10.1007/s00438-015-0997-7] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Accepted: 01/17/2015] [Indexed: 11/25/2022]
Abstract
Watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai] is an economically important vegetable crop grown extensively worldwide. To facilitate the identification of agronomically important traits and provide new information for genetic and genomic research on this species, a high-density genetic linkage map of watermelon was constructed using an F2 population derived from a cross between elite watermelon cultivar K3 and wild watermelon germplasm PI 189225. Based on a sliding window approach, a total of 1,161 bin markers representing 3,465 SNP markers were mapped onto 11 linkage groups corresponding to the chromosome pair number of watermelon. The total length of the genetic map is 1,099.2 cM, with an average distance between bins of 1.0 cM. The number of markers in each chromosome varies from 62 in chromosome 07 to 160 in chromosome 05. The length of individual chromosomes ranged between 61.8 cM for chromosome 07 and 140.2 cM for chromosome 05. A total of 616 SNP bin markers showed significant (P < 0.05) segregation distortion across all 11 chromosomes, and 513 (83.3 %) of these distorted loci showed distortion in favor of the elite watermelon cultivar K3 allele and 103 were skewed toward PI 189225. The number of SNPs and InDels per Mb varied considerably across the segregation distorted regions (SDRs) on each chromosome, and a mixture of dense and sparse SNPs and InDel SDRs coexisted on some chromosomes suggesting that SDRs were randomly distributed throughout the genome. Recombination rates varied greatly among each chromosome, from 2.0 to 4.2 centimorgans per megabase (cM/Mb). An inconsistency was found between the genetic and physical positions on the map for a segment on chromosome 11. The high-density genetic map described in the present study will facilitate fine mapping of quantitative trait loci, the identification of candidate genes, map-based cloning, as well as marker-assisted selection (MAS) in watermelon breeding programs.
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Affiliation(s)
- Runsheng Ren
- Institute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, 50 Zhongling Street, Nanjing, 210014, China
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Díaz A, Zarouri B, Fergany M, Eduardo I, Álvarez JM, Picó B, Monforte AJ. Mapping and introgression of QTL involved in fruit shape transgressive segregation into ‘piel de sapo’ melon (cucumis melo l.) [corrected]. PLoS One 2014; 9:e104188. [PMID: 25126852 PMCID: PMC4134209 DOI: 10.1371/journal.pone.0104188] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2014] [Accepted: 07/10/2014] [Indexed: 11/19/2022] Open
Abstract
A mapping F2 population from the cross ‘Piel de Sapo’ × PI124112 was selectively genotyped to study the genetic control of morphological fruit traits by QTL (Quantitative Trait Loci) analysis. Ten QTL were identified, five for FL (Fruit Length), two for FD (Fruit Diameter) and three for FS (Fruit Shape). At least one robust QTL per character was found, flqs8.1 (LOD = 16.85, R2 = 34%), fdqs12.1 (LOD = 3.47, R2 = 11%) and fsqs8.1 (LOD = 14.85, R2 = 41%). flqs2.1 and fsqs2.1 cosegregate with gene a (andromonoecious), responsible for flower sex determination and with pleiotropic effects on FS. They display a positive additive effect (a) value, so the PI124112 allele causes an increase in FL and FS, producing more elongated fruits. Conversely, the negative a value for flqs8.1 and fsqs8.1 indicates a decrease in FL and FS, what results in rounder fruits, even if PI124112 produces very elongated melons. This is explained by a significant epistatic interaction between fsqs2.1 and fsqs8.1, where the effects of the alleles at locus a are attenuated by the additive PI124112 allele at fsqs8.1. Roundest fruits are produced by homozygous for PI124112 at fsqs8.1 that do not carry any dominant A allele at locus a (PiPiaa). A significant interaction between fsqs8.1 and fsqs12.1 was also detected, with the alleles at fsqs12.1 producing more elongated fruits. fsqs8.1 seems to be allelic to QTL discovered in other populations where the exotic alleles produce elongated fruits. This model has been validated in assays with backcross lines along 3 years and ultimately obtaining a fsqs8.1-NIL (Near Isogenic Line) in ‘Piel de Sapo’ background which yields round melons.
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Affiliation(s)
- Aurora Díaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
- * E-mail: (AD); (AJM)
| | - Belkacem Zarouri
- Laboratorio de Biología Molecular. Dpto. Investigación Agroalimentaria. Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Alcalá de Henares, Madrid, Spain
| | - Mohamed Fergany
- Centre de Recerca en Agrigenòmica (CRAG), IRTA-CSIC-UAB, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain
| | - Iban Eduardo
- Centre de Recerca en Agrigenòmica (CRAG), IRTA-CSIC-UAB, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain
| | - José M. Álvarez
- Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Zaragoza, Spain
| | - Belén Picó
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universitad Politécnica de Valencia, Valencia, Spain
| | - Antonio J. Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC), Valencia, Spain
- * E-mail: (AD); (AJM)
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Wu B, Zhong GY, Yue JQ, Yang RT, Li C, Li YJ, Zhong Y, Wang X, Jiang B, Zeng JW, Zhang L, Yan ST, Bei XJ, Zhou DG. Identification of pummelo cultivars by using a panel of 25 selected SNPs and 12 DNA segments. PLoS One 2014; 9:e94506. [PMID: 24732455 PMCID: PMC3986212 DOI: 10.1371/journal.pone.0094506] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2013] [Accepted: 03/17/2014] [Indexed: 11/18/2022] Open
Abstract
Pummelo cultivars are usually difficult to identify morphologically, especially when fruits are unavailable. The problem was addressed in this study with the use of two methods: high resolution melting analysis of SNPs and sequencing of DNA segments. In the first method, a set of 25 SNPs with high polymorphic information content were selected from SNPs predicted by analyzing ESTs and sequenced DNA segments. High resolution melting analysis was then used to genotype 260 accessions including 55 from Myanmar, and 178 different genotypes were thus identified. A total of 99 cultivars were assigned to 86 different genotypes since the known somatic mutants were identical to their original genotypes at the analyzed SNP loci. The Myanmar samples were genotypically different from each other and from all other samples, indicating they were derived from sexual propagation. Statistical analysis showed that the set of SNPs was powerful enough for identifying at least 1000 pummelo genotypes, though the discrimination power varied in different pummelo groups and populations. In the second method, 12 genomic DNA segments of 24 representative pummelo accessions were sequenced. Analysis of the sequences revealed the existence of a high haplotype polymorphism in pummelo, and statistical analysis showed that the segments could be used as genetic barcodes that should be informative enough to allow reliable identification of 1200 pummelo cultivars. The high level of haplotype diversity and an apparent population structure shown by DNA segments and by SNP genotypes, respectively, were discussed in relation to the origin and domestication of the pummelo species.
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Affiliation(s)
- Bo Wu
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Guang-yan Zhong
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- * E-mail:
| | - Jian-qiang Yue
- Institute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agricultural Science, Dehong, Yunnan, China
| | - Run-ting Yang
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
| | - Chong Li
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
| | - Yue-jia Li
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Yun Zhong
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Xuan Wang
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
| | - Bo Jiang
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Ji-wu Zeng
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Li Zhang
- Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Guangzhou, China
- Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Shu-tang Yan
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
| | - Xue-jun Bei
- College of Horticulture and Landscape Architecture, Southwest University, Chongqing, China
| | - Dong-guo Zhou
- Institute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agricultural Science, Dehong, Yunnan, China
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18
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Park I, Kim J, Lee J, Kim S, Cho O, Yang K, Ahn J, Nahm S, Kim H. Development of SSR markers by next-generation sequencing of Korean landraces of chamoe (Cucumis melo var. makuwa). Mol Biol Rep 2013; 40:6855-62. [PMID: 24096890 DOI: 10.1007/s11033-013-2803-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Accepted: 09/26/2013] [Indexed: 01/25/2023]
Abstract
The oriental melon (Cucumis melo var. makuwa), called 'chamoe' in Korean, is a popular fruit crop cultivated mainly in Asia and a high-market value crop in Korea. To provide molecular breeding resources for chamoe, we developed and characterized genomic SSR markers from the preliminary Illumina read assemblies of Gotgam chamoe (one of the major landraces; KM) and SW3 (the breeding parent). Mononucleotide motifs were the most abundant type of markers, followed by di-, tri-, tetra-, and pentanucleotide motifs. The most abundant dinucleotide was AT, followed by AG and AC, and AAT was the most abundant trinucleotide motif in both assemblies. Following our SSR-marker development strategy, we designed a total of 370 primer sets. Of these, 236 primer sets were tested, exhibiting 93 % polymorphism between KM and SW3. Those polymorphic SSRs were successfully amplified in the netted and Kirkagac melons, which respectively exhibited 81 and 76 % polymorphism relative to KM, and 32 and 38 % polymorphism relative to SW3. Seven selected SSR markers with a total of 17 alleles (2-3 alleles per locus) were used to distinguish between KM, SW3, and four chamoe cultivars. Our results represent the first attempt to provide genomic resources for Korean landraces for the purposes of chamoe breeding, as well as to discover a set of SSR markers capable of discriminating chamoe varieties from Korea and the rest of Asia, which possess little genetic diversity. This study establishes a highly efficient strategy for developing SSR markers from preliminary Illumina assemblies of AT-rich genomes.
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Affiliation(s)
- Inkyu Park
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahangno, Daejeon, 305-806, Republic of Korea
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19
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Ahn S, Jung SY, Lee SJ. Gold nanoparticle contrast agents in advanced X-ray imaging technologies. Molecules 2013; 18:5858-90. [PMID: 23685939 PMCID: PMC6270207 DOI: 10.3390/molecules18055858] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2013] [Revised: 04/30/2013] [Accepted: 05/14/2013] [Indexed: 02/07/2023] Open
Abstract
Recently, there has been significant progress in the field of soft- and hard-X-ray imaging for a wide range of applications, both technically and scientifically, via developments in sources, optics and imaging methodologies. While one community is pursuing extensive applications of available X-ray tools, others are investigating improvements in techniques, including new optics, higher spatial resolutions and brighter compact sources. For increased image quality and more exquisite investigation on characteristic biological phenomena, contrast agents have been employed extensively in imaging technologies. Heavy metal nanoparticles are excellent absorbers of X-rays and can offer excellent improvements in medical diagnosis and X-ray imaging. In this context, the role of gold (Au) is important for advanced X-ray imaging applications. Au has a long-history in a wide range of medical applications and exhibits characteristic interactions with X-rays. Therefore, Au can offer a particular advantage as a tracer and a contrast enhancer in X-ray imaging technologies by sensing the variation in X-ray attenuation in a given sample volume. This review summarizes basic understanding on X-ray imaging from device set-up to technologies. Then this review covers recent studies in the development of X-ray imaging techniques utilizing gold nanoparticles (AuNPs) and their relevant applications, including two- and three-dimensional biological imaging, dynamical processes in a living system, single cell-based imaging and quantitative analysis of circulatory systems and so on. In addition to conventional medical applications, various novel research areas have been developed and are expected to be further developed through AuNP-based X-ray imaging technologies.
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Affiliation(s)
- Sungsook Ahn
- Biofluid and Biomimic Research Center, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Sung Yong Jung
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Sang Joon Lee
- Biofluid and Biomimic Research Center, Pohang University of Science and Technology, Pohang 790-784, Korea
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 790-784, Korea
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20
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Esteras C, Formisano G, Roig C, Díaz A, Blanca J, Garcia-Mas J, Gómez-Guillamón ML, López-Sesé AI, Lázaro A, Monforte AJ, Picó B. SNP genotyping in melons: genetic variation, population structure, and linkage disequilibrium. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2013; 126:1285-303. [PMID: 23381808 DOI: 10.1007/s00122-013-2053-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2012] [Accepted: 01/19/2013] [Indexed: 05/02/2023]
Abstract
Novel sequencing technologies were recently used to generate sequences from multiple melon (Cucumis melo L.) genotypes, enabling the in silico identification of large single nucleotide polymorphism (SNP) collections. In order to optimize the use of these markers, SNP validation and large-scale genotyping are necessary. In this paper, we present the first validated design for a genotyping array with 768 SNPs that are evenly distributed throughout the melon genome. This customized Illumina GoldenGate assay was used to genotype a collection of 74 accessions, representing most of the botanical groups of the species. Of the assayed loci, 91 % were successfully genotyped. The array provided a large number of polymorphic SNPs within and across accessions. This set of SNPs detected high levels of variation in accessions from this crop's center of origin as well as from several other areas of melon diversification. Allele distribution throughout the genome revealed regions that distinguished between the two main groups of cultivated accessions (inodorus and cantalupensis). Population structure analysis showed a subdivision into five subpopulations, reflecting the history of the crop. A considerably low level of LD was detected, which decayed rapidly within a few kilobases. Our results show that the GoldenGate assay can be used successfully for high-throughput SNP genotyping in melon. Since many of the genotyped accessions are currently being used as the parents of breeding populations in various programs, this set of mapped markers could be used for future mapping and breeding efforts.
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Affiliation(s)
- Cristina Esteras
- COMAV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universitat Politècnica de València (UPV), Camino de Vera s/n, 46022 Valencia, Spain
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21
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Corbacho J, Romojaro F, Pech JC, Latché A, Gomez-Jimenez MC. Transcriptomic events involved in melon mature-fruit abscission comprise the sequential induction of cell-wall degrading genes coupled to a stimulation of endo and exocytosis. PLoS One 2013; 8:e58363. [PMID: 23484021 PMCID: PMC3590154 DOI: 10.1371/journal.pone.0058363] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2012] [Accepted: 02/03/2013] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Mature-fruit abscission (MFA) in fleshy-fruit is a genetically controlled process with mechanisms that, contrary to immature-fruit abscission, has not been fully characterized. Here, we use pyrosequencing to characterize the transcriptomes of melon abscission zone (AZ) at three stages during AZ-cell separation in order to understand MFA control at an early stage of AZ-activation. PRINCIPAL FINDINGS The results show that by early induction of MFA, the melon AZ exhibits major gene induction, while by late induction of MFA, melon AZ shows major gene repression. Although some genes displayed similar regulation in both early and late induction of abscission, such as EXT1-EXT4, EGase1, IAA2, ERF1, AP2D15, FLC, MADS2, ERAF17, SAP5 and SCL13 genes, the majority had different expression patterns. This implies that time-specific events occur during MFA, and emphasizes the value of characterizing multiple time-specific abscission transcriptomes. Analysis of gene-expression from these AZs reveal that a sequential induction of cell-wall-degrading genes is associated with the upregulation of genes involved in endo and exocytosis, and a shift in plant-hormone metabolism and signaling genes during MFA. This is accompanied by transcriptional activity of small-GTPases and synthaxins together with tubulins, dynamins, V-type ATPases and kinesin-like proteins potentially involved in MFA signaling. Early events are potentially controlled by down-regulation of MADS-box, AP2/ERF and Aux/IAA transcription-factors, and up-regulation of homeobox, zinc finger, bZIP, and WRKY transcription-factors, while late events may be controlled by up-regulation of MYB transcription-factors. SIGNIFICANCE Overall, the data provide a comprehensive view on MFA in fleshy-fruit, identifying candidate genes and pathways associated with early induction of MFA. Our comprehensive gene-expression profile will be very useful for elucidating gene regulatory networks of the MFA in fleshy-fruit.
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Affiliation(s)
- Jorge Corbacho
- Department of Plant Physiology, University of Extremadura, Avda de Elvas s/n, Badajoz, Spain
| | | | - Jean-Claude Pech
- UMR990 INRA/INP-ENSA Toulouse, Avenue de l'Agrobiopole, Castanet-Tolosan, France
| | - Alain Latché
- UMR990 INRA/INP-ENSA Toulouse, Avenue de l'Agrobiopole, Castanet-Tolosan, France
| | - Maria C. Gomez-Jimenez
- Department of Plant Physiology, University of Extremadura, Avda de Elvas s/n, Badajoz, Spain
- * E-mail:
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Gao P, Ma H, Luan F, Song H. DNA fingerprinting of Chinese melon provides evidentiary support of seed quality appraisal. PLoS One 2012; 7:e52431. [PMID: 23285039 PMCID: PMC3527501 DOI: 10.1371/journal.pone.0052431] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 11/14/2012] [Indexed: 11/19/2022] Open
Abstract
Melon, Cucumis melo L. is an important vegetable crop worldwide. At present, there are phenomena of homonyms and synonyms present in the melon seed markets of China, which could cause variety authenticity issues influencing the process of melon breeding, production, marketing and other aspects. Molecular markers, especially microsatellites or simple sequence repeats (SSRs) are playing increasingly important roles for cultivar identification. The aim of this study was to construct a DNA fingerprinting database of major melon cultivars, which could provide a possibility for the establishment of a technical standard system for purity and authenticity identification of melon seeds. In this study, to develop the core set SSR markers, 470 polymorphic SSRs were selected as the candidate markers from 1219 SSRs using 20 representative melon varieties (lines). Eighteen SSR markers, evenly distributed across the genome and with the highest contents of polymorphism information (PIC) were identified as the core marker set for melon DNA fingerprinting analysis. Fingerprint codes for 471 melon varieties (lines) were established. There were 51 materials which were classified into17 groups based on sharing the same fingerprint code, while field traits survey results showed that these plants in the same group were synonyms because of the same or similar field characters. Furthermore, DNA fingerprinting quick response (QR) codes of 471 melon varieties (lines) were constructed. Due to its fast readability and large storage capacity, QR coding melon DNA fingerprinting is in favor of read convenience and commercial applications.
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Affiliation(s)
- Peng Gao
- College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Hongyan Ma
- College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Feishi Luan
- College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
- * E-mail:
| | - Haibin Song
- College of Horticulture, Northeast Agricultural University, Harbin, Heilongjiang Province, People’s Republic of China
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23
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Sandlin K, Prothro J, Heesacker A, Khalilian N, Okashah R, Xiang W, Bachlava E, Caldwell DG, Taylor CA, Seymour DK, White V, Chan E, Tolla G, White C, Safran D, Graham E, Knapp S, McGregor C. Comparative mapping in watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai]. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 125:1603-1618. [PMID: 22875176 DOI: 10.1007/s00122-012-1938-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2012] [Accepted: 07/03/2012] [Indexed: 05/28/2023]
Abstract
The first single-nucleotide polymorphism (SNP) maps for watermelon [Citrullus lanatus (Thunb.) Matsum. et Nakai] were constructed and compared. Three populations were developed from crosses between two elite cultivars, Klondike Black Seeded × New Hampshire Midget (KBS × NHM), an elite cultivar and wild egusi accession, Strain II × PI 560023 (SII × Egusi) and an elite cultivar and a wild citron accession, ZWRM50 × PI 244019 (ZWRM × Citroides). The SII × Egusi and ZWRM × Citroides F(2) populations consisted of 187 and 182 individuals respectively while the KBS × NHM recombinant inbred line (RIL) population consisted of 164 lines. The length of the genetic maps were 1,438, 1,514 and 1,144 cM with average marker distances of 3.8, 4.2, and 3.4 cM for the KBS × NHM, SII × Egusi and ZWRM × Citroides populations, respectively. Shared markers were used to align the three maps so that the linkage groups (LGs) represented the 11 chromosomes of the species. Marker segregation distortion were observed in all three populations, but was highest (12.7 %) in the ZWRM × Citroides population, where Citroides alleles were favored. The three maps were used to construct a consensus map containing 378 SNP markers with an average distance of 5.1 cM between markers. Phenotypic data was collected for fruit weight (FWT), fruit length (FL), fruit width (FWD), fruit shape index (FSI), rind thickness (RTH) and Brix (BRX) and analyzed for quantitative trait loci (QTL) associated with these traits. A total of 40 QTL were identified in the three populations, including major QTL for fruit size and shape that were stable across genetic backgrounds and environments. The present study reports the first SNP maps for Citrullus and the first map constructed using two elite parents. We also report the first stable QTL associated with fruit size and shape in Citrullus lanatus. These maps, QTL and SNPs should be useful for the watermelon community and represent a significant step towards the potential use of molecular tools in watermelon breeding.
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Affiliation(s)
- Katherine Sandlin
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA 30602, USA
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24
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The draft genome of watermelon (Citrullus lanatus) and resequencing of 20 diverse accessions. Nat Genet 2012. [PMID: 23179023 DOI: 10.1038/ng.2470] [Citation(s) in RCA: 407] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Watermelon, Citrullus lanatus, is an important cucurbit crop grown throughout the world. Here we report a high-quality draft genome sequence of the east Asia watermelon cultivar 97103 (2n = 2× = 22) containing 23,440 predicted protein-coding genes. Comparative genomics analysis provided an evolutionary scenario for the origin of the 11 watermelon chromosomes derived from a 7-chromosome paleohexaploid eudicot ancestor. Resequencing of 20 watermelon accessions representing three different C. lanatus subspecies produced numerous haplotypes and identified the extent of genetic diversity and population structure of watermelon germplasm. Genomic regions that were preferentially selected during domestication were identified. Many disease-resistance genes were also found to be lost during domestication. In addition, integrative genomic and transcriptomic analyses yielded important insights into aspects of phloem-based vascular signaling in common between watermelon and cucumber and identified genes crucial to valuable fruit-quality traits, including sugar accumulation and citrulline metabolism.
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25
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Roig C, Fita A, Ríos G, Hammond JP, Nuez F, Picó B. Root transcriptional responses of two melon genotypes with contrasting resistance to Monosporascus cannonballus (Pollack et Uecker) infection. BMC Genomics 2012; 13:601. [PMID: 23134692 PMCID: PMC3542287 DOI: 10.1186/1471-2164-13-601] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Accepted: 10/31/2012] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Monosporascus cannonballus is the main causal agent of melon vine decline disease. Several studies have been carried out mainly focused on the study of the penetration of this pathogen into melon roots, the evaluation of symptoms severity on infected roots, and screening assays for breeding programs. However, a detailed molecular view on the early interaction between M. cannonballus and melon roots in either susceptible or resistant genotypes is lacking. In the present study, we used a melon oligo-based microarray to investigate the gene expression responses of two melon genotypes, Cucumis melo 'Piel de sapo' ('PS') and C. melo 'Pat 81', with contrasting resistance to the disease. This study was carried out at 1 and 3 days after infection (DPI) by M. cannonballus. RESULTS Our results indicate a dissimilar behavior of the susceptible vs. the resistant genotypes from 1 to 3 DPI. 'PS' responded with a more rapid infection response than 'Pat 81' at 1 DPI. At 3 DPI the total number of differentially expressed genes identified in 'PS' declined from 451 to 359, while the total number of differentially expressed transcripts in 'Pat 81' increased from 187 to 849. Several deregulated transcripts coded for components of Ca2+ and jasmonic acid (JA) signalling pathways, as well as for other proteins related to defence mechanisms. Transcriptional differences in the activation of the JA-mediated response in 'Pat 81' compared to 'PS' suggested that JA response might be partially responsible for their observed differences in resistance. CONCLUSIONS As a result of this study we have identified for the first time a set of candidate genes involved in the root response to the infection of the pathogen causing melon vine decline. This information is useful for understanding the disease progression and resistance mechanisms few days after inoculation.
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Affiliation(s)
- Cristina Roig
- Institute for the Conservation and Breeding of the Agricultural Biodiversity, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022, Valencia, Spain
| | - Ana Fita
- Institute for the Conservation and Breeding of the Agricultural Biodiversity, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022, Valencia, Spain
| | - Gabino Ríos
- Instituto Valenciano de Investigaciones Agrarias (IVIA), Carretera Moncada-Náquera km 4.5, 46113, Moncada, Valencia, Spain
| | - John P Hammond
- School of Plant Biology, University of Western Australia, 35 Stirling Highway, Crawley, 6009, WA, Australia
| | - Fernando Nuez
- Institute for the Conservation and Breeding of the Agricultural Biodiversity, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022, Valencia, Spain
| | - Belén Picó
- Institute for the Conservation and Breeding of the Agricultural Biodiversity, Universitat Politècnica de València (COMAV-UPV), Camino de Vera s/n, 46022, Valencia, Spain
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Blanca J, Esteras C, Ziarsolo P, Pérez D, Fernã Ndez-Pedrosa V, Collado C, Rodrã Guez de Pablos R, Ballester A, Roig C, Cañizares J, Picó B. Transcriptome sequencing for SNP discovery across Cucumis melo. BMC Genomics 2012; 13:280. [PMID: 22726804 PMCID: PMC3473316 DOI: 10.1186/1471-2164-13-280] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2012] [Accepted: 06/14/2012] [Indexed: 01/25/2023] Open
Abstract
Background Melon (Cucumis melo L.) is a highly diverse species that is cultivated worldwide. Recent advances in massively parallel sequencing have begun to allow the study of nucleotide diversity in this species. The Sanger method combined with medium-throughput 454 technology were used in a previous study to analyze the genetic diversity of germplasm representing 3 botanical varieties, yielding a collection of about 40,000 SNPs distributed in 14,000 unigenes. However, the usefulness of this resource is limited as the sequenced genotypes do not represent the whole diversity of the species, which is divided into two subspecies with many botanical varieties variable in plant, flowering, and fruit traits, as well as in stress response. As a first step to extensively document levels and patterns of nucleotide variability across the species, we used the high-throughput SOLiD™ system to resequence the transcriptomes of a set of 67 genotypes that had previously been selected from a core collection representing the extant variation of the entire species. Results The deep transcriptome resequencing of all of the genotypes, grouped into 8 pools (wild African agrestis, Asian agrestis and acidulus, exotic Far Eastern conomon, Indian momordica and Asian dudaim and flexuosus, commercial cantalupensis, subsp. melo Asian and European landraces, Spanish inodorus landraces, and Piel de Sapo breeding lines) yielded about 300 M reads. Short reads were mapped to the recently generated draft genome assembly of the DHL line Piel de Sapo (inodorus) x Songwhan Charmi (conomon) and to a new version of melon transcriptome. Regions with at least 6X coverage were used in SNV calling, generating a melon collection with 303,883 variants. These SNVs were dispersed across the entire C. melo genome, and distributed in 15,064 annotated genes. The number and variability of in silico SNVs differed considerably between pools. Our finding of higher genomic diversity in wild and exotic agrestis melons from India and Africa as compared to commercial cultivars, cultigens and landraces from Eastern Europe, Western Asia and the Mediterranean basin is consistent with the evolutionary history proposed for the species. Group-specific SNVs that will be useful in introgression programs were also detected. In a sample of 143 selected putative SNPs, we verified 93% of the polymorphisms in a panel of 78 genotypes. Conclusions This study provides the first comprehensive resequencing data for wild, exotic, and cultivated (landraces and commercial) melon transcriptomes, yielding the largest melon SNP collection available to date and representing a notable sample of the species diversity. This data provides a valuable resource for creating a catalog of allelic variants of melon genes and it will aid in future in-depth studies of population genetics, marker-assisted breeding, and gene identification aimed at developing improved varieties.
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Affiliation(s)
- José Blanca
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
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27
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Blanca J, Esteras C, Ziarsolo P, Pérez D, Fernã Ndez-Pedrosa V, Collado C, Rodrã Guez de Pablos R, Ballester A, Roig C, Cañizares J, Picó B. Transcriptome sequencing for SNP discovery across Cucumis melo. BMC Genomics 2012. [PMID: 22726804 DOI: 10.1186/1471‐2164‐13‐280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Melon (Cucumis melo L.) is a highly diverse species that is cultivated worldwide. Recent advances in massively parallel sequencing have begun to allow the study of nucleotide diversity in this species. The Sanger method combined with medium-throughput 454 technology were used in a previous study to analyze the genetic diversity of germplasm representing 3 botanical varieties, yielding a collection of about 40,000 SNPs distributed in 14,000 unigenes. However, the usefulness of this resource is limited as the sequenced genotypes do not represent the whole diversity of the species, which is divided into two subspecies with many botanical varieties variable in plant, flowering, and fruit traits, as well as in stress response. As a first step to extensively document levels and patterns of nucleotide variability across the species, we used the high-throughput SOLiD™ system to resequence the transcriptomes of a set of 67 genotypes that had previously been selected from a core collection representing the extant variation of the entire species. RESULTS The deep transcriptome resequencing of all of the genotypes, grouped into 8 pools (wild African agrestis, Asian agrestis and acidulus, exotic Far Eastern conomon, Indian momordica and Asian dudaim and flexuosus, commercial cantalupensis, subsp. melo Asian and European landraces, Spanish inodorus landraces, and Piel de Sapo breeding lines) yielded about 300 M reads. Short reads were mapped to the recently generated draft genome assembly of the DHL line Piel de Sapo (inodorus) x Songwhan Charmi (conomon) and to a new version of melon transcriptome. Regions with at least 6X coverage were used in SNV calling, generating a melon collection with 303,883 variants. These SNVs were dispersed across the entire C. melo genome, and distributed in 15,064 annotated genes. The number and variability of in silico SNVs differed considerably between pools. Our finding of higher genomic diversity in wild and exotic agrestis melons from India and Africa as compared to commercial cultivars, cultigens and landraces from Eastern Europe, Western Asia and the Mediterranean basin is consistent with the evolutionary history proposed for the species. Group-specific SNVs that will be useful in introgression programs were also detected. In a sample of 143 selected putative SNPs, we verified 93% of the polymorphisms in a panel of 78 genotypes. CONCLUSIONS This study provides the first comprehensive resequencing data for wild, exotic, and cultivated (landraces and commercial) melon transcriptomes, yielding the largest melon SNP collection available to date and representing a notable sample of the species diversity. This data provides a valuable resource for creating a catalog of allelic variants of melon genes and it will aid in future in-depth studies of population genetics, marker-assisted breeding, and gene identification aimed at developing improved varieties.
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Affiliation(s)
- José Blanca
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
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28
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Taniguchi F, Fukuoka H, Tanaka J. Expressed sequence tags from organ-specific cDNA libraries of tea (Camellia sinensis) and polymorphisms and transferability of EST-SSRs across Camellia species. BREEDING SCIENCE 2012; 62:186-95. [PMID: 23136530 PMCID: PMC3405963 DOI: 10.1270/jsbbs.62.186] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2011] [Accepted: 04/06/2012] [Indexed: 05/19/2023]
Abstract
Tea is one of the most popular beverages in the world and the tea plant, Camellia sinensis (L.) O. Kuntze, is an important crop in many countries. To increase the amount of genomic information available for C. sinensis, we constructed seven cDNA libraries from various organs and used these to generate expressed sequence tags (ESTs). A total of 17,458 ESTs were generated and assembled into 5,262 unigenes. About 50% of the unigenes were assigned annotations by Gene Ontology. Some were homologous to genes involved in important biological processes, such as nitrogen assimilation, aluminum response, and biosynthesis of caffeine and catechins. Digital northern analysis showed that 67 unigenes were expressed differentially among the seven organs. Simple sequence repeat (SSR) motif searches among the unigenes identified 1,835 unigenes (34.9%) harboring SSR motifs of more than six repeat units. A subset of 100 EST-SSR primer sets was tested for amplification and polymorphism in 16 tea accessions. Seventy-one primer sets successfully amplified EST-SSRs and 70 EST-SSR loci were polymorphic. Furthermore, these 70 EST-SSR markers were transferable to 14 other Camellia species. The ESTs and EST-SSR markers will enhance the study of important traits and the molecular genetics of tea plants and other Camellia species.
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Affiliation(s)
- Fumiya Taniguchi
- Makurazaki Tea Research Station, NARO Institute of Vegetable and Tea Science, 87, Seto, Makurazaki, Kagoshima 898-0087, Japan
- Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennohdai, Tsukuba, Ibaraki 305-0001, Japan
- Corresponding author (e-mail: )
| | - Hiroyuki Fukuoka
- NARO Institute of Vegetable and Tea Science, 360 Kusawa, Ano, Tsu, Mie 514-2392, Japan
| | - Junichi Tanaka
- Makurazaki Tea Research Station, NARO Institute of Vegetable and Tea Science, 87, Seto, Makurazaki, Kagoshima 898-0087, Japan
- Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennohdai, Tsukuba, Ibaraki 305-0001, Japan
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Esteras C, Gómez P, Monforte AJ, Blanca J, Vicente-Dólera N, Roig C, Nuez F, Picó B. High-throughput SNP genotyping in Cucurbita pepo for map construction and quantitative trait loci mapping. BMC Genomics 2012; 13:80. [PMID: 22356647 PMCID: PMC3359225 DOI: 10.1186/1471-2164-13-80] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2011] [Accepted: 02/22/2012] [Indexed: 11/10/2022] Open
Abstract
Background Cucurbita pepo is a member of the Cucurbitaceae family, the second- most important horticultural family in terms of economic importance after Solanaceae. The "summer squash" types, including Zucchini and Scallop, rank among the highest-valued vegetables worldwide. There are few genomic tools available for this species. The first Cucurbita transcriptome, along with a large collection of Single Nucleotide Polymorphisms (SNP), was recently generated using massive sequencing. A set of 384 SNP was selected to generate an Illumina GoldenGate assay in order to construct the first SNP-based genetic map of Cucurbita and map quantitative trait loci (QTL). Results We herein present the construction of the first SNP-based genetic map of Cucurbita pepo using a population derived from the cross of two varieties with contrasting phenotypes, representing the main cultivar groups of the species' two subspecies: Zucchini (subsp. pepo) × Scallop (subsp. ovifera). The mapping population was genotyped with 384 SNP, a set of selected EST-SNP identified in silico after massive sequencing of the transcriptomes of both parents, using the Illumina GoldenGate platform. The global success rate of the assay was higher than 85%. In total, 304 SNP were mapped, along with 11 SSR from a previous map, giving a map density of 5.56 cM/marker. This map was used to infer syntenic relationships between C. pepo and cucumber and to successfully map QTL that control plant, flowering and fruit traits that are of benefit to squash breeding. The QTL effects were validated in backcross populations. Conclusion Our results show that massive sequencing in different genotypes is an excellent tool for SNP discovery, and that the Illumina GoldenGate platform can be successfully applied to constructing genetic maps and performing QTL analysis in Cucurbita. This is the first SNP-based genetic map in the Cucurbita genus and is an invaluable new tool for biological research, especially considering that most of these markers are located in the coding regions of genes involved in different physiological processes. The platform will also be useful for future mapping and diversity studies, and will be essential in order to accelerate the process of breeding new and better-adapted squash varieties.
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Affiliation(s)
- Cristina Esteras
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
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Allegre M, Argout X, Boccara M, Fouet O, Roguet Y, Bérard A, Thévenin JM, Chauveau A, Rivallan R, Clement D, Courtois B, Gramacho K, Boland-Augé A, Tahi M, Umaharan P, Brunel D, Lanaud C. Discovery and mapping of a new expressed sequence tag-single nucleotide polymorphism and simple sequence repeat panel for large-scale genetic studies and breeding of Theobroma cacao L. DNA Res 2011; 19:23-35. [PMID: 22210604 PMCID: PMC3276266 DOI: 10.1093/dnares/dsr039] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Theobroma cacao is an economically important tree of several tropical countries. Its genetic improvement is essential to provide protection against major diseases and improve chocolate quality. We discovered and mapped new expressed sequence tag-single nucleotide polymorphism (EST-SNP) and simple sequence repeat (SSR) markers and constructed a high-density genetic map. By screening 149 650 ESTs, 5246 SNPs were detected in silico, of which 1536 corresponded to genes with a putative function, while 851 had a clear polymorphic pattern across a collection of genetic resources. In addition, 409 new SSR markers were detected on the Criollo genome. Lastly, 681 new EST-SNPs and 163 new SSRs were added to the pre-existing 418 co-dominant markers to construct a large consensus genetic map. This high-density map and the set of new genetic markers identified in this study are a milestone in cocoa genomics and for marker-assisted breeding. The data are available at http://tropgenedb.cirad.fr.
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Affiliation(s)
- Mathilde Allegre
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Xavier Argout
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- To whom correspondence should be addressed. Fax. +33 4-67-61-56-05.
| | - Michel Boccara
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- University of the West Indies, Cocoa Research Unit (CRU), St Augustine, Trinidad and Tobago
| | - Olivier Fouet
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Yolande Roguet
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Aurélie Bérard
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Jean Marc Thévenin
- CIRAD, Biological Systems Department, UPR Bioagresseurs, 97387 Kourou Cedex, French Guiana
| | - Aurélie Chauveau
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Ronan Rivallan
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
| | - Didier Clement
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
- Comissão Executiva de Planejamento da Lavoura Cacaueira (CEPLAC), Km 22 Rod. Ilheus Itabuna, Cx. postal 07, Itabuna 45600-00, Bahia, Brazil
| | | | - Karina Gramacho
- Comissão Executiva de Planejamento da Lavoura Cacaueira (CEPLAC), Km 22 Rod. Ilheus Itabuna, Cx. postal 07, Itabuna 45600-00, Bahia, Brazil
| | - Anne Boland-Augé
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Mathias Tahi
- Centre National de la Recherche Agronomique (CNRA), B.P. 808, Divo, Côte d'Ivoire
| | - Pathmanathan Umaharan
- University of the West Indies, Cocoa Research Unit (CRU), St Augustine, Trinidad and Tobago
| | - Dominique Brunel
- INRA, UR 1279 Etude du Polymorphisme des Génomes Végétaux, CEA Institut de Génomique, Centre National de Génotypage, 2, rue Gaston Crémieux, CP5724, 91057 Evry, France
| | - Claire Lanaud
- CIRAD, UMR 1334 AGAP, TA 108/03-34398, Montpellier Cedex 5, France
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Cabezas JA, Ibáñez J, Lijavetzky D, Vélez D, Bravo G, Rodríguez V, Carreño I, Jermakow AM, Carreño J, Ruiz-García L, Thomas MR, Martinez-Zapater JM. A 48 SNP set for grapevine cultivar identification. BMC PLANT BIOLOGY 2011; 11:153. [PMID: 22060012 PMCID: PMC3221639 DOI: 10.1186/1471-2229-11-153] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Accepted: 11/08/2011] [Indexed: 05/20/2023]
Abstract
BACKGROUND Rapid and consistent genotyping is an important requirement for cultivar identification in many crop species. Among them grapevine cultivars have been the subject of multiple studies given the large number of synonyms and homonyms generated during many centuries of vegetative multiplication and exchange. Simple sequence repeat (SSR) markers have been preferred until now because of their high level of polymorphism, their codominant nature and their high profile repeatability. However, the rapid application of partial or complete genome sequencing approaches is identifying thousands of single nucleotide polymorphisms (SNP) that can be very useful for such purposes. Although SNP markers are bi-allelic, and therefore not as polymorphic as microsatellites, the high number of loci that can be multiplexed and the possibilities of automation as well as their highly repeatable results under any analytical procedure make them the future markers of choice for any type of genetic identification. RESULTS We analyzed over 300 SNP in the genome of grapevine using a re-sequencing strategy in a selection of 11 genotypes. Among the identified polymorphisms, we selected 48 SNP spread across all grapevine chromosomes with allele frequencies balanced enough as to provide sufficient information content for genetic identification in grapevine allowing for good genotyping success rate. Marker stability was tested in repeated analyses of a selected group of cultivars obtained worldwide to demonstrate their usefulness in genetic identification. CONCLUSIONS We have selected a set of 48 stable SNP markers with a high discrimination power and a uniform genome distribution (2-3 markers/chromosome), which is proposed as a standard set for grapevine (Vitis vinifera L.) genotyping. Any previous problems derived from microsatellite allele confusion between labs or the need to run reference cultivars to identify allele sizes disappear using this type of marker. Furthermore, because SNP markers are bi-allelic, allele identification and genotype naming are extremely simple and genotypes obtained with different equipments and by different laboratories are always fully comparable.
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Affiliation(s)
- José A Cabezas
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, CSIC, C/Darwin 3, 28049 Madrid, Spain
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria. Ctra de A Coruña, Km 7. 28040. Madrid. Spain
| | - Javier Ibáñez
- Instituto de Ciencias de la Vid y del Vino (CSIC-Universidad de La Rioja-Gobierno de La Rioja). Complejo Científico Tecnológico. C/Madre de Dios 51. 26006 Logroño. Spain
| | - Diego Lijavetzky
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, CSIC, C/Darwin 3, 28049 Madrid, Spain
- Instituto de Biología Agrícola de Mendoza, Facultad de Ciencias Agrarias, CONYCET-Universidad Nacional de Cuyo, Almirante Brown 500, M5528AHB Chacras de Coria, Argentina
| | - Dolores Vélez
- Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA). Finca "El Encín". Ctra A2, Km 38.200. 28800 Alcalá de Henares. Madrid. Spain
| | - Gema Bravo
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, CSIC, C/Darwin 3, 28049 Madrid, Spain
| | - Virginia Rodríguez
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, CSIC, C/Darwin 3, 28049 Madrid, Spain
| | - Iván Carreño
- Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA). Estación Sericícola. C/Mayor, s/n. 30150 La Alberca. Murcia. Spain
| | | | - Juan Carreño
- Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA). Estación Sericícola. C/Mayor, s/n. 30150 La Alberca. Murcia. Spain
| | - Leonor Ruiz-García
- Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA). Estación Sericícola. C/Mayor, s/n. 30150 La Alberca. Murcia. Spain
| | - Mark R Thomas
- CSIRO Plant Industry, PO Box 350, Glen Osmond, SA 5064, Australia
| | - José M Martinez-Zapater
- Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología, CSIC, C/Darwin 3, 28049 Madrid, Spain
- Instituto de Ciencias de la Vid y del Vino (CSIC-Universidad de La Rioja-Gobierno de La Rioja). Complejo Científico Tecnológico. C/Madre de Dios 51. 26006 Logroño. Spain
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An Z, Gao C, Li J, Fu D, Tang Z, Ortegón O. Large-scale development of functional markers in Brassica species. Genome 2011; 54:763-70. [PMID: 21899400 DOI: 10.1139/g11-042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Numerous quantitative trait loci (QTL) have been detected in Brassica species, but fine-mapping of major QTL has advanced slowly. The development of functional markers can overcome this barrier. We used publicly available PlantGDB-assembled unique transcripts (PUTs) from Brassica species to design 7836 functional simple sequence repeat (SSR) primer pairs. Functional annotation of the PUTs containing SSRs was done by Blast2GO. The PUTs harbouring SSRs were mainly involved with nucleotide or protein binding and enzyme activity, and preferentially functioned in membranes and cytoplasm. Totally, 210 PUT primer pairs were selected to test their polymorphism, stability, and PCR quality. Approximately 70% (147) of the primer pairs resulted in successful amplification with an average polymorphic information content (PIC) value of 0.49. The highest level of polymorphism was dinucleotide repeat SSRs, followed by tri- and mononucleotide repeats. Approximately 60% of the primer pairs showed good transferability among Brassica species. These results show that the development of markers from PUTs is a feasible and simple approach to develop functional SSR markers on a large scale across Brassica species. In addition, these markers can provide a novel alternative that is a putative approach for rapid determination of candidate genes, genetic mapping, genetic diversity analysis, and comparative mapping in Brassica species.
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Affiliation(s)
- Zeshan An
- College of Agronomy and Biotechnology, Southwest University, Chongqing, China
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Rodríguez-Moreno L, González VM, Benjak A, Martí MC, Puigdomènech P, Aranda MA, Garcia-Mas J. Determination of the melon chloroplast and mitochondrial genome sequences reveals that the largest reported mitochondrial genome in plants contains a significant amount of DNA having a nuclear origin. BMC Genomics 2011; 12:424. [PMID: 21854637 PMCID: PMC3175227 DOI: 10.1186/1471-2164-12-424] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2011] [Accepted: 08/20/2011] [Indexed: 01/31/2023] Open
Abstract
Background The melon belongs to the Cucurbitaceae family, whose economic importance among vegetable crops is second only to Solanaceae. The melon has a small genome size (454 Mb), which makes it suitable for molecular and genetic studies. Despite similar nuclear and chloroplast genome sizes, cucurbits show great variation when their mitochondrial genomes are compared. The melon possesses the largest plant mitochondrial genome, as much as eight times larger than that of other cucurbits. Results The nucleotide sequences of the melon chloroplast and mitochondrial genomes were determined. The chloroplast genome (156,017 bp) included 132 genes, with 98 single-copy genes dispersed between the small (SSC) and large (LSC) single-copy regions and 17 duplicated genes in the inverted repeat regions (IRa and IRb). A comparison of the cucumber and melon chloroplast genomes showed differences in only approximately 5% of nucleotides, mainly due to short indels and SNPs. Additionally, 2.74 Mb of mitochondrial sequence, accounting for 95% of the estimated mitochondrial genome size, were assembled into five scaffolds and four additional unscaffolded contigs. An 84% of the mitochondrial genome is contained in a single scaffold. The gene-coding region accounted for 1.7% (45,926 bp) of the total sequence, including 51 protein-coding genes, 4 conserved ORFs, 3 rRNA genes and 24 tRNA genes. Despite the differences observed in the mitochondrial genome sizes of cucurbit species, Citrullus lanatus (379 kb), Cucurbita pepo (983 kb) and Cucumis melo (2,740 kb) share 120 kb of sequence, including the predicted protein-coding regions. Nevertheless, melon contained a high number of repetitive sequences and a high content of DNA of nuclear origin, which represented 42% and 47% of the total sequence, respectively. Conclusions Whereas the size and gene organisation of chloroplast genomes are similar among the cucurbit species, mitochondrial genomes show a wide variety of sizes, with a non-conserved structure both in gene number and organisation, as well as in the features of the noncoding DNA. The transfer of nuclear DNA to the melon mitochondrial genome and the high proportion of repetitive DNA appear to explain the size of the largest mitochondrial genome reported so far.
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Affiliation(s)
- Luis Rodríguez-Moreno
- Departamento de Biología del Estrés y Patología Vegetal, Centro deEdafología y Biología Aplicada del Segura (CEBAS)-CSIC, 30100 Espinardo(Murcia), Spain
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González M, Xu M, Esteras C, Roig C, Monforte AJ, Troadec C, Pujol M, Nuez F, Bendahmane A, Garcia-Mas J, Picó B. Towards a TILLING platform for functional genomics in Piel de Sapo melons. BMC Res Notes 2011; 4:289. [PMID: 21834982 PMCID: PMC3163545 DOI: 10.1186/1756-0500-4-289] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2011] [Accepted: 08/11/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The availability of genetic and genomic resources for melon has increased significantly, but functional genomics resources are still limited for this crop. TILLING is a powerful reverse genetics approach that can be utilized to generate novel mutations in candidate genes. A TILLING resource is available for cantalupensis melons, but not for inodorus melons, the other main commercial group. RESULTS A new ethyl methanesulfonate-mutagenized (EMS) melon population was generated for the first time in an andromonoecious non-climacteric inodorus Piel de Sapo genetic background. Diverse mutant phenotypes in seedlings, vines and fruits were observed, some of which were of possible commercial interest. The population was first screened for mutations in three target genes involved in disease resistance and fruit quality (Cm-PDS, Cm-eIF4E and Cm-eIFI(iso)4E). The same genes were also tilled in the available monoecious and climacteric cantalupensis EMS melon population. The overall mutation density in this first Piel de Sapo TILLING platform was estimated to be 1 mutation/1.5 Mb by screening four additional genes (Cm-ACO1, Cm-NOR, Cm-DET1 and Cm-DHS). Thirty-three point mutations were found for the seven gene targets, six of which were predicted to have an impact on the function of the protein. The genotype/phenotype correlation was demonstrated for a loss-of-function mutation in the Phytoene desaturase gene, which is involved in carotenoid biosynthesis. CONCLUSIONS The TILLING approach was successful at providing new mutations in the genetic background of Piel de Sapo in most of the analyzed genes, even in genes for which natural variation is extremely low. This new resource will facilitate reverse genetics studies in non-climacteric melons, contributing materially to future genomic and breeding studies.
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Affiliation(s)
- Mireia González
- Institute for the Conservation and Breeding of Agricultural Biodiversity (COMAV-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
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Li D, Cuevas HE, Yang L, Li Y, Garcia-Mas J, Zalapa J, Staub JE, Luan F, Reddy U, He X, Gong Z, Weng Y. Syntenic relationships between cucumber (Cucumis sativus L.) and melon (C. melo L.) chromosomes as revealed by comparative genetic mapping. BMC Genomics 2011; 12:396. [PMID: 21816110 PMCID: PMC3199783 DOI: 10.1186/1471-2164-12-396] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Accepted: 08/05/2011] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Cucumber, Cucumis sativus L. (2n = 2 × = 14) and melon, C. melo L. (2n = 2 × = 24) are two important vegetable species in the genus Cucumis (family Cucurbitaceae). Both species have an Asian origin that diverged approximately nine million years ago. Cucumber is believed to have evolved from melon through chromosome fusion, but the details of this process are largely unknown. In this study, comparative genetic mapping between cucumber and melon was conducted to examine syntenic relationships of their chromosomes. RESULTS Using two melon mapping populations, 154 and 127 cucumber SSR markers were added onto previously reported F(2)- and RIL-based genetic maps, respectively. A consensus melon linkage map was developed through map integration, which contained 401 co-dominant markers in 12 linkage groups including 199 markers derived from the cucumber genome. Syntenic relationships between melon and cucumber chromosomes were inferred based on associations between markers on the consensus melon map and cucumber draft genome scaffolds. It was determined that cucumber Chromosome 7 was syntenic to melon Chromosome I. Cucumber Chromosomes 2 and 6 each contained genomic regions that were syntenic with melon chromosomes III+V+XI and III+VIII+XI, respectively. Likewise, cucumber Chromosomes 1, 3, 4, and 5 each was syntenic with genomic regions of two melon chromosomes previously designated as II+XII, IV+VI, VII+VIII, and IX+X, respectively. However, the marker orders in several syntenic blocks on these consensus linkage maps were not co-linear suggesting that more complicated structural changes beyond simple chromosome fusion events have occurred during the evolution of cucumber. CONCLUSIONS Comparative mapping conducted herein supported the hypothesis that cucumber chromosomes may be the result of chromosome fusion from a 24-chromosome progenitor species. Except for a possible inversion, cucumber Chromosome 7 has largely remained intact in the past nine million years since its divergence from melon. Meanwhile, many structural changes may have occurred during the evolution of the remaining six cucumber chromosomes. Further characterization of the genomic nature of Cucumis species closely related to cucumber and melon might provide a better understanding of the evolutionary history leading to modern cucumber.
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Affiliation(s)
- Dawei Li
- Horticulture College, Northwest A & F University, Yangling 712100, China
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Hugo E Cuevas
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Tropical Agriculture Research Station, Mayaguez, P.R. 00680, Puerto Rico
| | - Luming Yang
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Yuhong Li
- Horticulture College, Northwest A & F University, Yangling 712100, China
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Juan Zalapa
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Vegetable Crops Research Unit, Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
| | - Jack E Staub
- USDA-ARS, Forage & Range Research Laboratory, Utah State University, Logan, UT 84322 USA
| | - Feishi Luan
- Horticulture College, Northeast Agricultural University, Harbin, 150030, China
| | - Umesh Reddy
- Department of Biology, West Virginia State University Institute, WV 25112, USA
| | - Xiaoming He
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Zhenhui Gong
- Horticulture College, Northwest A & F University, Yangling 712100, China
| | - Yiqun Weng
- Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
- USDA ARS Vegetable Crops Research Unit, Horticulture Department, University of Wisconsin, Madison, WI 53706, USA
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High-Resolution Genotyping of Wild Barley Introgression Lines and Fine-Mapping of the Threshability Locus thresh-1 Using the Illumina GoldenGate Assay. G3-GENES GENOMES GENETICS 2011; 1:187-96. [PMID: 22384330 PMCID: PMC3276139 DOI: 10.1534/g3.111.000182] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2011] [Accepted: 05/25/2011] [Indexed: 11/24/2022]
Abstract
Genetically well-characterized mapping populations are a key tool for rapid and precise localization of quantitative trait loci (QTL) and subsequent identification of the underlying genes. In this study, a set of 73 introgression lines (S42ILs) originating from a cross between the spring barley cultivar Scarlett (Hordeum vulgare ssp. vulgare) and the wild barley accession ISR42-8 (H. v. ssp. spontaneum) was subjected to high-resolution genotyping with an Illumina 1536-SNP array. The array enabled a precise localization of the wild barley introgressions in the elite barley background. Based on 636 informative SNPs, the S42IL set represents 87.3% of the wild barley genome, where each line contains on average 3.3% of the donor genome. Furthermore, segregating high-resolution mapping populations (S42IL-HRs) were developed for 70 S42ILs in order to facilitate QTL fine-mapping and cloning. As a case study, we used the developed genetic resources to rapidly identify and fine-map the novel locus thresh-1 on chromosome 1H that controls grain threshability. Here, the recessive wild barley allele confers a difficult to thresh phenotype, suggesting that thresh-1 played an important role during barley domestication. Using a S42IL-HR population, thresh-1 was fine-mapped within a 4.3cM interval that was predicted to contain candidate genes involved in regulation of plant cell wall composition. The set of wild barley introgression lines and derived high-resolution populations are ideal tools to speed up the process of mapping and further dissecting QTL, which ultimately clears the way for isolating the genes behind QTL effects.
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Micheletti D, Troggio M, Zharkikh A, Costa F, Malnoy M, Velasco R, Salvi S. Genetic diversity of the genus Malus and implications for linkage mapping with SNPs. TREE GENETICS & GENOMES 2011; 7:857-868. [PMID: 0 DOI: 10.1007/s11295-011-0380-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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Diaz A, Fergany M, Formisano G, Ziarsolo P, Blanca J, Fei Z, Staub JE, Zalapa JE, Cuevas HE, Dace G, Oliver M, Boissot N, Dogimont C, Pitrat M, Hofstede R, van Koert P, Harel-Beja R, Tzuri G, Portnoy V, Cohen S, Schaffer A, Katzir N, Xu Y, Zhang H, Fukino N, Matsumoto S, Garcia-Mas J, Monforte AJ. A consensus linkage map for molecular markers and quantitative trait loci associated with economically important traits in melon (Cucumis melo L.). BMC PLANT BIOLOGY 2011; 11:111. [PMID: 21797998 PMCID: PMC3163537 DOI: 10.1186/1471-2229-11-111] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2011] [Accepted: 07/28/2011] [Indexed: 05/18/2023]
Abstract
BACKGROUND A number of molecular marker linkage maps have been developed for melon (Cucumis melo L.) over the last two decades. However, these maps were constructed using different marker sets, thus, making comparative analysis among maps difficult. In order to solve this problem, a consensus genetic map in melon was constructed using primarily highly transferable anchor markers that have broad potential use for mapping, synteny, and comparative quantitative trait loci (QTL) analysis, increasing breeding effectiveness and efficiency via marker-assisted selection (MAS). RESULTS Under the framework of the International Cucurbit Genomics Initiative (ICuGI, http://www.icugi.org), an integrated genetic map has been constructed by merging data from eight independent mapping experiments using a genetically diverse array of parental lines. The consensus map spans 1150 cM across the 12 melon linkage groups and is composed of 1592 markers (640 SSRs, 330 SNPs, 252 AFLPs, 239 RFLPs, 89 RAPDs, 15 IMAs, 16 indels and 11 morphological traits) with a mean marker density of 0.72 cM/marker. One hundred and ninety-six of these markers (157 SSRs, 32 SNPs, 6 indels and 1 RAPD) were newly developed, mapped or provided by industry representatives as released markers, including 27 SNPs and 5 indels from genes involved in the organic acid metabolism and transport, and 58 EST-SSRs. Additionally, 85 of 822 SSR markers contributed by Syngenta Seeds were included in the integrated map. In addition, 370 QTL controlling 62 traits from 18 previously reported mapping experiments using genetically diverse parental genotypes were also integrated into the consensus map. Some QTL associated with economically important traits detected in separate studies mapped to similar genomic positions. For example, independently identified QTL controlling fruit shape were mapped on similar genomic positions, suggesting that such QTL are possibly responsible for the phenotypic variability observed for this trait in a broad array of melon germplasm. CONCLUSIONS Even though relatively unsaturated genetic maps in a diverse set of melon market types have been published, the integrated saturated map presented herein should be considered the initial reference map for melon. Most of the mapped markers contained in the reference map are polymorphic in diverse collection of germplasm, and thus are potentially transferrable to a broad array of genetic experimentation (e.g., integration of physical and genetic maps, colinearity analysis, map-based gene cloning, epistasis dissection, and marker-assisted selection).
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Affiliation(s)
- Aurora Diaz
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC). Ciudad Politécnica de la Innovación (CPI), Ed. 8E. C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
| | - Mohamed Fergany
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
- Agronomy Department Faculty of Agriculture, Ain Shams University, Cairo, Egypt
| | - Gelsomina Formisano
- Department of Soil, Plant, Environmental and Animal Production Sciences, Federico II University of Naples, Via Università 100, 80055 Portici, Italy
| | - Peio Ziarsolo
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
| | - José Blanca
- COMAV-UPV, Institute for the Conservation and Breeding of Agricultural Biodiversity, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
| | - Zhanjun Fei
- Boyce Thompson Institute for Plant Research, Ithaca, New York 14853, USA
| | - Jack E Staub
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
- Current address: USDA-ARS, Forage and Range Research Laboratory, Utah State University, Logan, UT 84322-6300, USA
| | - Juan E Zalapa
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
| | - Hugo E Cuevas
- USDA-ARS, Vegetable Crops Research Unit, Department of Horticulture, 1575 Linden Dr, University of Wisconsin, Madison, WI 53706, USA
- Current address: USDA-ARS, Tropical Agricultural Research Station, 2200 Pedro Albizu Campus Ave, Mayaguez 00680-5470, Puerto Rico
| | - Gayle Dace
- Syngenta Biotechnology, Inc. Research Triangle Park, NC 27709, USA
| | - Marc Oliver
- Syngenta Seeds, 12 chemin de l'Hobit, F-31790 Saint-Sauveur, France
| | - Nathalie Boissot
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - Catherine Dogimont
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - Michel Pitrat
- INRA, UR 1052, Unité de Génétique et d'Amélioration des Fruits et Légumes, Domaine St Maurice, BP 94, 84143 Montfavet Cedex, France
| | - René Hofstede
- Keygene N.V. P.O. Box 216. 6700 AE Wageningen. The Netherlands
| | - Paul van Koert
- Keygene N.V. P.O. Box 216. 6700 AE Wageningen. The Netherlands
| | - Rotem Harel-Beja
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Galil Tzuri
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Vitaly Portnoy
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Shahar Cohen
- Institute of Plant Science, Agricultural Research Organization, Volcani Research Center, Bet Dagan 50250, Israel
| | - Arthur Schaffer
- Institute of Plant Science, Agricultural Research Organization, Volcani Research Center, Bet Dagan 50250, Israel
| | - Nurit Katzir
- Institute of Plant Science, Agricultural Research Organization (ARO), Newe Ya'ar Research Center, Ramat Yishay 30095, Israel
| | - Yong Xu
- National Engineering Research Center for Vegetables (NERCV), Beijing Academy Agricultural and Forestry Science, Beijing 100097, China
| | - Haiying Zhang
- National Engineering Research Center for Vegetables (NERCV), Beijing Academy Agricultural and Forestry Science, Beijing 100097, China
| | - Nobuko Fukino
- National Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Satoru Matsumoto
- National Institute of Vegetable and Tea Science (NIVTS), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Antonio J Monforte
- Instituto de Biología Molecular y Celular de Plantas (IBMCP). Universidad Politécnica de Valencia (UPV)-Consejo Superior de Investigaciones Científicas (CSIC). Ciudad Politécnica de la Innovación (CPI), Ed. 8E. C/Ingeniero Fausto Elio s/n, 46022 Valencia, Spain
- IRTA, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB), Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
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Clepet C, Joobeur T, Zheng Y, Jublot D, Huang M, Truniger V, Boualem A, Hernandez-Gonzalez ME, Dolcet-Sanjuan R, Portnoy V, Mascarell-Creus A, Caño-Delgado AI, Katzir N, Bendahmane A, Giovannoni JJ, Aranda MA, Garcia-Mas J, Fei Z. Analysis of expressed sequence tags generated from full-length enriched cDNA libraries of melon. BMC Genomics 2011; 12:252. [PMID: 21599934 PMCID: PMC3118787 DOI: 10.1186/1471-2164-12-252] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2011] [Accepted: 05/20/2011] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Melon (Cucumis melo), an economically important vegetable crop, belongs to the Cucurbitaceae family which includes several other important crops such as watermelon, cucumber, and pumpkin. It has served as a model system for sex determination and vascular biology studies. However, genomic resources currently available for melon are limited. RESULT We constructed eleven full-length enriched and four standard cDNA libraries from fruits, flowers, leaves, roots, cotyledons, and calluses of four different melon genotypes, and generated 71,577 and 22,179 ESTs from full-length enriched and standard cDNA libraries, respectively. These ESTs, together with ~35,000 ESTs available in public domains, were assembled into 24,444 unigenes, which were extensively annotated by comparing their sequences to different protein and functional domain databases, assigning them Gene Ontology (GO) terms, and mapping them onto metabolic pathways. Comparative analysis of melon unigenes and other plant genomes revealed that 75% to 85% of melon unigenes had homologs in other dicot plants, while approximately 70% had homologs in monocot plants. The analysis also identified 6,972 gene families that were conserved across dicot and monocot plants, and 181, 1,192, and 220 gene families specific to fleshy fruit-bearing plants, the Cucurbitaceae family, and melon, respectively. Digital expression analysis identified a total of 175 tissue-specific genes, which provides a valuable gene sequence resource for future genomics and functional studies. Furthermore, we identified 4,068 simple sequence repeats (SSRs) and 3,073 single nucleotide polymorphisms (SNPs) in the melon EST collection. Finally, we obtained a total of 1,382 melon full-length transcripts through the analysis of full-length enriched cDNA clones that were sequenced from both ends. Analysis of these full-length transcripts indicated that sizes of melon 5' and 3' UTRs were similar to those of tomato, but longer than many other dicot plants. Codon usages of melon full-length transcripts were largely similar to those of Arabidopsis coding sequences. CONCLUSION The collection of melon ESTs generated from full-length enriched and standard cDNA libraries is expected to play significant roles in annotating the melon genome. The ESTs and associated analysis results will be useful resources for gene discovery, functional analysis, marker-assisted breeding of melon and closely related species, comparative genomic studies and for gaining insights into gene expression patterns.
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Affiliation(s)
- Christian Clepet
- URGV Plant Genomics, Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS. 2, Rue Gaston Crémieux, 91057 Evry, France
| | - Tarek Joobeur
- Molecular and Cellular Imaging Center, The Ohio State University, OARDC, 1680 Madison Ave, Wooster, OH 44691, USA
- Seminis Vegetable Seeds, 37437 State Highway 16 Woodland, CA 95695, USA
| | - Yi Zheng
- Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
| | - Delphine Jublot
- URGV Plant Genomics, Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS. 2, Rue Gaston Crémieux, 91057 Evry, France
| | - Mingyun Huang
- Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
| | - Veronica Truniger
- Centro de Edafología y Biología Aplicada del Segura (CEBAS), Consejo Superior de Investigaciones Científicas (CSIC), Apdo. Correos 164, 30100 Espinardo, Murcia, Spain
| | - Adnane Boualem
- URGV Plant Genomics, Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS. 2, Rue Gaston Crémieux, 91057 Evry, France
| | | | - Ramon Dolcet-Sanjuan
- IRTA, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Vitaly Portnoy
- Department of Vegetable Research, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, Ramat Yishay, 30095, Israel
| | - Albert Mascarell-Creus
- Department de Genètica Molecular, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Ana I Caño-Delgado
- Department de Genètica Molecular, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Nurit Katzir
- Department of Vegetable Research, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, Ramat Yishay, 30095, Israel
| | - Abdelhafid Bendahmane
- URGV Plant Genomics, Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS. 2, Rue Gaston Crémieux, 91057 Evry, France
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh Saudi Arabia
| | - James J Giovannoni
- Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
- USDA Robert W. Holley Center for Agriculture and Health, Tower Road, Ithaca, NY 14853, USA
| | - Miguel A Aranda
- Centro de Edafología y Biología Aplicada del Segura (CEBAS), Consejo Superior de Investigaciones Científicas (CSIC), Apdo. Correos 164, 30100 Espinardo, Murcia, Spain
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics CSIC-IRTA-UAB, Campus UAB, Edifici CRAG, 08193 Bellaterra (Barcelona), Spain
| | - Zhangjun Fei
- Boyce Thompson Institute, Cornell University, Ithaca, NY 14853, USA
- USDA Robert W. Holley Center for Agriculture and Health, Tower Road, Ithaca, NY 14853, USA
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Dereeper A, Nicolas S, Le Cunff L, Bacilieri R, Doligez A, Peros JP, Ruiz M, This P. SNiPlay: a web-based tool for detection, management and analysis of SNPs. Application to grapevine diversity projects. BMC Bioinformatics 2011; 12:134. [PMID: 21545712 PMCID: PMC3102043 DOI: 10.1186/1471-2105-12-134] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2010] [Accepted: 05/05/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND High-throughput re-sequencing, new genotyping technologies and the availability of reference genomes allow the extensive characterization of Single Nucleotide Polymorphisms (SNPs) and insertion/deletion events (indels) in many plant species. The rapidly increasing amount of re-sequencing and genotyping data generated by large-scale genetic diversity projects requires the development of integrated bioinformatics tools able to efficiently manage, analyze, and combine these genetic data with genome structure and external data. RESULTS In this context, we developed SNiPlay, a flexible, user-friendly and integrative web-based tool dedicated to polymorphism discovery and analysis. It integrates:1) a pipeline, freely accessible through the internet, combining existing softwares with new tools to detect SNPs and to compute different types of statistical indices and graphical layouts for SNP data. From standard sequence alignments, genotyping data or Sanger sequencing traces given as input, SNiPlay detects SNPs and indels events and outputs submission files for the design of Illumina's SNP chips. Subsequently, it sends sequences and genotyping data into a series of modules in charge of various processes: physical mapping to a reference genome, annotation (genomic position, intron/exon location, synonymous/non-synonymous substitutions), SNP frequency determination in user-defined groups, haplotype reconstruction and network, linkage disequilibrium evaluation, and diversity analysis (Pi, Watterson's Theta, Tajima's D).Furthermore, the pipeline allows the use of external data (such as phenotype, geographic origin, taxa, stratification) to define groups and compare statistical indices.2) a database storing polymorphisms, genotyping data and grapevine sequences released by public and private projects. It allows the user to retrieve SNPs using various filters (such as genomic position, missing data, polymorphism type, allele frequency), to compare SNP patterns between populations, and to export genotyping data or sequences in various formats. CONCLUSIONS Our experiments on grapevine genetic projects showed that SNiPlay allows geneticists to rapidly obtain advanced results in several key research areas of plant genetic diversity. Both the management and treatment of large amounts of SNP data are rendered considerably easier for end-users through automation and integration. Current developments are taking into account new advances in high-throughput technologies.SNiPlay is available at: http://sniplay.cirad.fr/.
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Affiliation(s)
- Alexis Dereeper
- Diversity, Genetics and Genomics of grapevine, UMR DIAPC, INRA, Montpellier, France.
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Fridjonsson O, Olafsson K, Tompsett S, Bjornsdottir S, Consuegra S, Knox D, de Leaniz CG, Magnusdottir S, Olafsdottir G, Verspoor E, Hjorleifsdottir S. Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing. BMC Genomics 2011; 12:179. [PMID: 21473771 PMCID: PMC3079667 DOI: 10.1186/1471-2164-12-179] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2010] [Accepted: 04/07/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Approximately half of the mitochondrial genome inherent within 546 individual Atlantic salmon (Salmo salar) derived from across the species' North Atlantic range, was selectively amplified with a novel combination of standard PCR and pyro-sequencing in a single run using 454 Titanium FLX technology (Roche, 454 Life Sciences). A unique combination of barcoded primers and a partitioned sequencing plate was employed to designate each sequence read to its original sample. The sequence reads were aligned according to the S. salar mitochondrial reference sequence (NC_001960.1), with the objective of identifying single nucleotide polymorphisms (SNPs). They were validated if they met with the following three stringent criteria: (i) sequence reads were produced from both DNA strands; (ii) SNPs were confirmed in a minimum of 90% of replicate sequence reads; and (iii) SNPs occurred in more than one individual. RESULTS Pyrosequencing generated a total of 179,826,884 bp of data, and 10,765 of the total 10,920 S. salar sequences (98.6%) were assigned back to their original samples. The approach taken resulted in a total of 216 SNPs and 2 indels, which were validated and mapped onto the S. salar mitochondrial genome, including 107 SNPs and one indel not previously reported. An average of 27.3 sequence reads with a standard deviation of 11.7 supported each SNP per individual. CONCLUSION The study generated a mitochondrial SNP panel from a large sample group across a broad geographical area, reducing the potential for ascertainment bias, which has hampered previous studies. The SNPs identified here validate those identified in previous studies, and also contribute additional potentially informative loci for the future study of phylogeography and evolution in the Atlantic salmon. The overall success experienced with this novel application of HT sequencing of targeted regions suggests that the same approach could be successfully applied for SNP mining in other species.
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Yuste-Lisbona FJ, Capel C, Gómez-Guillamón ML, Capel J, López-Sesé AI, Lozano R. Codominant PCR-based markers and candidate genes for powdery mildew resistance in melon (Cucumis melo L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2011; 122:747-758. [PMID: 21243332 DOI: 10.1007/s00122-010-1483-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2010] [Accepted: 10/22/2010] [Indexed: 05/30/2023]
Abstract
Powdery mildew caused by Podosphaera xanthii is a major disease in melon crops, and races 1, 2, and 5 of this fungus are those that occur most frequently in southern Europe. The genotype TGR-1551 bears a dominant gene that provides resistance to these three races of P. xanthii. By combining bulked segregant analysis and amplified fragment length polymorphisms (AFLP), we identified eight markers linked to this dominant gene. Cloning and sequencing of the selected AFLP fragments allowed the development of six codominant PCR-based markers which mapped on the linkage group (LG) V. Sequence analysis of these markers led to the identification of two resistance-like genes, MRGH5 and MRGH63, belonging to the nucleotide binding site (NBS)-leucine-rich repeat (LRR) gene family. Quantitative trait loci (QTL) analysis detected two QTLs, Pm-R1-2 and Pm-R5, the former significantly associated with the resistance to races 1 and 2 (LOD score of 26.5 and 33.3; 53.6 and 61.9% of phenotypic variation, respectively), and the latter with resistance to race 5 (LOD score of 36.8; 65.5% of phenotypic variation), which have been found to be colocalized with the MRGH5 and MRGH63 genes, respectively. The results suggest that the cluster of NBS-LRR genes identified in LG V harbours candidate genes for resistance to races 1, 2, and 5 of P. xanthii. The evaluation of other resistant germplasm showed that the codominant markers here reported are also linked to the Pm-w resistance gene carried by the accession 'WMR-29' proving their usefulness as genotyping tools in melon breeding programmes.
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Affiliation(s)
- Fernando J Yuste-Lisbona
- Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora (IHSM, UMA-CSIC), Algarrobo-Costa, Málaga, Spain
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Blanca J, Cañizares J, Roig C, Ziarsolo P, Nuez F, Picó B. Transcriptome characterization and high throughput SSRs and SNPs discovery in Cucurbita pepo (Cucurbitaceae). BMC Genomics 2011; 12:104. [PMID: 21310031 PMCID: PMC3049757 DOI: 10.1186/1471-2164-12-104] [Citation(s) in RCA: 114] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2010] [Accepted: 02/10/2011] [Indexed: 11/25/2022] Open
Abstract
Background Cucurbita pepo belongs to the Cucurbitaceae family. The "Zucchini" types rank among the highest-valued vegetables worldwide, and other C. pepo and related Cucurbita spp., are food staples and rich sources of fat and vitamins. A broad range of genomic tools are today available for other cucurbits that have become models for the study of different metabolic processes. However, these tools are still lacking in the Cucurbita genus, thus limiting gene discovery and the process of breeding. Results We report the generation of a total of 512,751 C. pepo EST sequences, using 454 GS FLX Titanium technology. ESTs were obtained from normalized cDNA libraries (root, leaves, and flower tissue) prepared using two varieties with contrasting phenotypes for plant, flowering and fruit traits, representing the two C. pepo subspecies: subsp. pepo cv. Zucchini and subsp. ovifera cv Scallop. De novo assembling was performed to generate a collection of 49,610 Cucurbita unigenes (average length of 626 bp) that represent the first transcriptome of the species. Over 60% of the unigenes were functionally annotated and assigned to one or more Gene Ontology terms. The distributions of Cucurbita unigenes followed similar tendencies than that reported for Arabidopsis or melon, suggesting that the dataset may represent the whole Cucurbita transcriptome. About 34% unigenes were detected to have known orthologs of Arabidopsis or melon, including genes potentially involved in disease resistance, flowering and fruit quality. Furthermore, a set of 1,882 unigenes with SSR motifs and 9,043 high confidence SNPs between Zucchini and Scallop were identified, of which 3,538 SNPs met criteria for use with high throughput genotyping platforms, and 144 could be detected as CAPS. A set of markers were validated, being 80% of them polymorphic in a set of variable C. pepo and C. moschata accessions. Conclusion We present the first broad survey of gene sequences and allelic variation in C. pepo, where limited prior genomic information existed. The transcriptome provides an invaluable new tool for biological research. The developed molecular markers are the basis for future genetic linkage and quantitative trait loci analysis, and will be essential to speed up the process of breeding new and better adapted squash varieties.
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Affiliation(s)
- José Blanca
- Institute for the Conservation and Breeding of Agricultural Biodiversity, Universidad Politécnica de Valencia (COMAV-UPV), Camino de Vera s/n, 46022 Valencia, Spain
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Moe KT, Chung JW, Cho YI, Moon JK, Ku JH, Jung JK, Lee J, Park YJ. Sequence information on simple sequence repeats and single nucleotide polymorphisms through transcriptome analysis of mungbean. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2011; 53:63-73. [PMID: 21205180 DOI: 10.1111/j.1744-7909.2010.01012.x] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Mungbean (Vigna radiata (L.) Wilczek) is a unique species in its ability to fix atmospheric nitrogen, with early maturity, and relatively good drought resistance. We used 454 sequencing technology for transcriptome sequencing. A total of 150 159 and 142 993 reads produced 5 254 and 6 374 large contigs (≥ 500 bp) with an average length of 833 and 853 for Sunhwa and Jangan, respectively. Functional annotation to known sequences yielded 41.34% and 41.74% unigenes for Jangan and Sunhwa. A higher number of simple sequence repeat (SSR) motifs was identified in Jangan (1 630) compared with that of Sunhwa (1 334). A similar SSR distribution pattern was observed in both varieties. A total of 8 249 single nucleotide polymorphisms (SNPs) and indels with 2 098 high-confidence candidates were identified in the two mungbean varieties. The average distance between individual SNPs was approximately 860 bp. Our report demonstrates the utility of transcriptomic data for implementing a functional annotation and development of genetic markers. We also provide large resource sequence data for mungbean improvement programs.
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Affiliation(s)
- Kyaw Thu Moe
- Department of Palnt Resources, College of Industrial Sciences, Kongju National University, Yesan 304-702, Republic of Korea
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Dahmani-Mardas F, Troadec C, Boualem A, Lévêque S, Alsadon AA, Aldoss AA, Dogimont C, Bendahmane A. Engineering melon plants with improved fruit shelf life using the TILLING approach. PLoS One 2010; 5:e15776. [PMID: 21209891 PMCID: PMC3012703 DOI: 10.1371/journal.pone.0015776] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2010] [Accepted: 11/26/2010] [Indexed: 11/18/2022] Open
Abstract
Background Fruit ripening and softening are key traits that have an effect on food supply, fruit nutritional value and consequently, human health. Since ethylene induces ripening of climacteric fruit, it is one of the main targets to control fruit over ripening that leads to fruit softening and deterioration. The characterization of the ethylene pathway in Arabidopsis and tomato identified key genes that control fruit ripening. Methodology/Principal Findings To engineer melon fruit with improved shelf-life, we conducted a translational research experiment. We set up a TILLING platform in a monoecious and climacteric melon line, cloned genes that control ethylene production and screened for induced mutations that lead to fruits with enhanced shelf life. Two missense mutations, L124F and G194D, of the ethylene biosynthetic enzyme, ACC oxidase 1, were identified and the mutant plants were characterized with respect to fruit maturation. The L124F mutation is a conservative mutation occurring away from the enzyme active site and thus was predicted to not affect ethylene production and thus fruit ripening. In contrast, G194D modification occurs in a highly conserved amino acid position predicted, by crystallographic analysis, to affect the enzymatic activity. Phenotypic analysis of the G194D mutant fruit showed complete delayed ripening and yellowing with improved shelf life and, as predicted, the L124F mutation did not have an effect. Conclusions/Significance We constructed a mutant collection of 4023 melon M2 families. Based on the TILLING of 11 genes, we calculated the overall mutation rate of one mutation every 573 kb and identified 8 alleles per tilled kilobase. We also identified a TILLING mutant with enhanced fruit shelf life. This work demonstrates the effectiveness of TILLING as a reverse genetics tool to improve crop species. As cucurbits are model species in different areas of plant biology, we anticipate that the developed tool will be widely exploited by the scientific community.
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Affiliation(s)
- Fatima Dahmani-Mardas
- Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS, Evry, France
| | - Christelle Troadec
- Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS, Evry, France
| | - Adnane Boualem
- Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS, Evry, France
| | - Sylvie Lévêque
- Unité de Génétique et Amélioration des Fruits et Légumes, INRA UR1052, Montfavet, France
| | - Abdullah A. Alsadon
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah A. Aldoss
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Catherine Dogimont
- Unité de Génétique et Amélioration des Fruits et Légumes, INRA UR1052, Montfavet, France
| | - Abdelhafid Bendahmane
- Unité de Recherche en Génomique Végétale, UMR1165 ERL8196 INRA-UEVE-CNRS, Evry, France
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
- * E-mail:
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González VM, Benjak A, Hénaff EM, Mir G, Casacuberta JM, Garcia-Mas J, Puigdomènech P. Sequencing of 6.7 Mb of the melon genome using a BAC pooling strategy. BMC PLANT BIOLOGY 2010; 10:246. [PMID: 21073723 PMCID: PMC3095328 DOI: 10.1186/1471-2229-10-246] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2010] [Accepted: 11/12/2010] [Indexed: 05/03/2023]
Abstract
BACKGROUND Cucumis melo (melon) belongs to the Cucurbitaceae family, whose economic importance among horticulture crops is second only to Solanaceae. Melon has a high intra-specific genetic variation, morphologic diversity and a small genome size (454 Mb), which make it suitable for a great variety of molecular and genetic studies. A number of genetic and genomic resources have already been developed, such as several genetic maps, BAC genomic libraries, a BAC-based physical map and EST collections. Sequence information would be invaluable to complete the picture of the melon genomic landscape, furthering our understanding of this species' evolution from its relatives and providing an important genetic tool. However, to this day there is little sequence data available, only a few melon genes and genomic regions are deposited in public databases. The development of massively parallel sequencing methods allows envisaging new strategies to obtain long fragments of genomic sequence at higher speed and lower cost than previous Sanger-based methods. RESULTS In order to gain insight into the structure of a significant portion of the melon genome we set out to perform massive sequencing of pools of BAC clones. For this, a set of 57 BAC clones from a double haploid line was sequenced in two pools with the 454 system using both shotgun and paired-end approaches. The final assembly consists of an estimated 95% of the actual size of the melon BAC clones, with most likely complete sequences for 50 of the BACs, and a total sequence coverage of 39x. The accuracy of the assembly was assessed by comparing the previously available Sanger sequence of one of the BACs against its 454 sequence, and the polymorphisms found involved only 1.7 differences every 10,000 bp that were localized in 15 homopolymeric regions and two dinucleotide tandem repeats. Overall, the study provides approximately 6.7 Mb or 1.5% of the melon genome. The analysis of this new data has allowed us to gain further insight into characteristics of the melon genome such as gene density, average protein length, or microsatellite and transposon content. The annotation of the BAC sequences revealed a high degree of collinearity and protein sequence identity between melon and its close relative Cucumis sativus (cucumber). Transposon content analysis of the syntenic regions suggests that transposition activity after the split of both cucurbit species has been low in cucumber but very high in melon. CONCLUSIONS The results presented here show that the strategy followed, which combines shotgun and BAC-end sequencing together with anchored marker information, is an excellent method for sequencing specific genomic regions, especially from relatively compact genomes such as that of melon. However, in agreement with other results, this map-based, BAC approach is confirmed to be an expensive way of sequencing a whole plant genome. Our results also provide a partial description of the melon genome's structure. Namely, our analysis shows that the melon genome is highly collinear with the smaller one of cucumber, the size difference being mainly due to the expansion of intergenic regions and proliferation of transposable elements.
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Affiliation(s)
- Víctor M González
- Molecular Genetics Department, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Jordi Girona, 18-26, 08034 Barcelona, Spain
| | - Andrej Benjak
- IRTA, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Carretera de Cabrils Km 2, 08348 (Barcelona), Spain
| | - Elizabeth Marie Hénaff
- Molecular Genetics Department, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Jordi Girona, 18-26, 08034 Barcelona, Spain
| | - Gisela Mir
- IRTA, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Carretera de Cabrils Km 2, 08348 (Barcelona), Spain
| | - Josep M Casacuberta
- Molecular Genetics Department, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Jordi Girona, 18-26, 08034 Barcelona, Spain
| | - Jordi Garcia-Mas
- IRTA, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Carretera de Cabrils Km 2, 08348 (Barcelona), Spain
| | - Pere Puigdomènech
- Molecular Genetics Department, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Jordi Girona, 18-26, 08034 Barcelona, Spain
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González VM, Rodríguez-Moreno L, Centeno E, Benjak A, Garcia-Mas J, Puigdomènech P, Aranda MA. Genome-wide BAC-end sequencing of Cucumis melo using two BAC libraries. BMC Genomics 2010; 11:618. [PMID: 21054843 PMCID: PMC3091759 DOI: 10.1186/1471-2164-11-618] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2010] [Accepted: 11/05/2010] [Indexed: 11/10/2022] Open
Abstract
Background Although melon (Cucumis melo L.) is an economically important fruit crop, no genome-wide sequence information is openly available at the current time. We therefore sequenced BAC-ends representing a total of 33,024 clones, half of them from a previously described melon BAC library generated with restriction endonucleases and the remainder from a new random-shear BAC library. Results We generated a total of 47,140 high-quality BAC-end sequences (BES), 91.7% of which were paired-BES. Both libraries were assembled independently and then cross-assembled to obtain a final set of 33,372 non-redundant, high-quality sequences. These were grouped into 6,411 contigs (4.5 Mb) and 26,961 non-assembled BES (14.4 Mb), representing ~4.2% of the melon genome. The sequences were used to screen genomic databases, identifying 7,198 simple sequence repeats (corresponding to one microsatellite every 2.6 kb) and 2,484 additional repeats of which 95.9% represented transposable elements. The sequences were also used to screen expressed sequence tag (EST) databases, revealing 11,372 BES that were homologous to ESTs. This suggests that ~30% of the melon genome consists of coding DNA. We observed regions of microsynteny between melon paired-BES and six other dicotyledonous plant genomes. Conclusion The analysis of nearly 50,000 BES from two complementary genomic libraries covered ~4.2% of the melon genome, providing insight into properties such as microsatellite and transposable element distribution, and the percentage of coding DNA. The observed synteny between melon paired-BES and six other plant genomes showed that useful comparative genomic data can be derived through large scale BAC-end sequencing by anchoring a small proportion of the melon genome to other sequenced genomes.
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Affiliation(s)
- Víctor M González
- Molecular Genetics Department, Center for Research in Agricultural Genomics CRAG (CSIC-IRTA-UAB), Jordi Girona, 18-26, 08034 Barcelona, Spain
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Durand J, Bodénès C, Chancerel E, Frigerio JM, Vendramin G, Sebastiani F, Buonamici A, Gailing O, Koelewijn HP, Villani F, Mattioni C, Cherubini M, Goicoechea PG, Herrán A, Ikaran Z, Cabané C, Ueno S, Alberto F, Dumoulin PY, Guichoux E, de Daruvar A, Kremer A, Plomion C. A fast and cost-effective approach to develop and map EST-SSR markers: oak as a case study. BMC Genomics 2010; 11:570. [PMID: 20950475 PMCID: PMC3091719 DOI: 10.1186/1471-2164-11-570] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2009] [Accepted: 10/15/2010] [Indexed: 08/14/2023] Open
Abstract
Background Expressed Sequence Tags (ESTs) are a source of simple sequence repeats (SSRs) that can be used to develop molecular markers for genetic studies. The availability of ESTs for Quercus robur and Quercus petraea provided a unique opportunity to develop microsatellite markers to accelerate research aimed at studying adaptation of these long-lived species to their environment. As a first step toward the construction of a SSR-based linkage map of oak for quantitative trait locus (QTL) mapping, we describe the mining and survey of EST-SSRs as well as a fast and cost-effective approach (bin mapping) to assign these markers to an approximate map position. We also compared the level of polymorphism between genomic and EST-derived SSRs and address the transferability of EST-SSRs in Castanea sativa (chestnut). Results A catalogue of 103,000 Sanger ESTs was assembled into 28,024 unigenes from which 18.6% presented one or more SSR motifs. More than 42% of these SSRs corresponded to trinucleotides. Primer pairs were designed for 748 putative unigenes. Overall 37.7% (283) were found to amplify a single polymorphic locus in a reference full-sib pedigree of Quercus robur. The usefulness of these loci for establishing a genetic map was assessed using a bin mapping approach. Bin maps were constructed for the male and female parental tree for which framework linkage maps based on AFLP markers were available. The bin set consisting of 14 highly informative offspring selected based on the number and position of crossover sites. The female and male maps comprised 44 and 37 bins, with an average bin length of 16.5 cM and 20.99 cM, respectively. A total of 256 EST-SSRs were assigned to bins and their map position was further validated by linkage mapping. EST-SSRs were found to be less polymorphic than genomic SSRs, but their transferability rate to chestnut, a phylogenetically related species to oak, was higher. Conclusion We have generated a bin map for oak comprising 256 EST-SSRs. This resource constitutes a first step toward the establishment of a gene-based map for this genus that will facilitate the dissection of QTLs affecting complex traits of ecological importance.
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Fernandez-Silva I, Moreno E, Essafi A, Fergany M, Garcia-Mas J, Martín-Hernandez AM, Alvarez JM, Monforte AJ. Shaping melons: agronomic and genetic characterization of QTLs that modify melon fruit morphology. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 121:931-40. [PMID: 20506012 DOI: 10.1007/s00122-010-1361-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2010] [Accepted: 05/12/2010] [Indexed: 05/03/2023]
Abstract
The consistency of quantitative trait locus (QTL) effects among genetic backgrounds is a key factor for introgressing QTLs from initial mapping experiments into applied breeding programs. We have selected four QTLs (fs6.4, fw4.3, fw4.4 and fw8.1) involved in melon fruit morphology that had previously been detected in a collection of introgression lines derived from the cross between a Spanish cultivar, "Piel de Sapo," and the Korean accession PI161375 (Songwan Charmi). Introgression lines harboring these QTLs were crossed with an array of melon inbred lines representative of the most important cultivar types. Hybrids of the introgression and inbred lines, with the appropriate controls, were evaluated in replicated agronomic trials. The effects of the QTLs were consistent among the different genetic backgrounds, demonstrating the utility of these QTLs for applied breeding programs in modifying melon fruit morphology. Three QTLs, fw4.4, fs6.4 and fs12.1 were subjected to further study in order to map them more accurately by substitution mapping using a new set of introgression lines with recombination events within the QTL chromosome region. The position of the QTLs was narrowed down to 36-5 cM, depending on the QTL. The results presented in the current study set the basis for the use of these QTLs in applied breeding programs and for the molecular characterization of the genes underlying them.
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Affiliation(s)
- Iria Fernandez-Silva
- IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB, Carretera de Cabrils Km 2, 08348, Cabrils, Barcelona, Spain
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Harel-Beja R, Tzuri G, Portnoy V, Lotan-Pompan M, Lev S, Cohen S, Dai N, Yeselson L, Meir A, Libhaber SE, Avisar E, Melame T, van Koert P, Verbakel H, Hofstede R, Volpin H, Oliver M, Fougedoire A, Stalh C, Fauve J, Copes B, Fei Z, Giovannoni J, Ori N, Lewinsohn E, Sherman A, Burger J, Tadmor Y, Schaffer AA, Katzir N. A genetic map of melon highly enriched with fruit quality QTLs and EST markers, including sugar and carotenoid metabolism genes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2010; 121:511-33. [PMID: 20401460 DOI: 10.1007/s00122-010-1327-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2009] [Accepted: 03/22/2010] [Indexed: 05/03/2023]
Abstract
A genetic map of melon enriched for fruit traits was constructed, using a recombinant inbred (RI) population developed from a cross between representatives of the two subspecies of Cucumis melo L.: PI 414723 (subspecies agrestis) and 'Dulce' (subspecies melo). Phenotyping of 99 RI lines was conducted over three seasons in two locations in Israel and the US. The map includes 668 DNA markers (386 SSRs, 76 SNPs, six INDELs and 200 AFLPs), of which 160 were newly developed from fruit ESTs. These ESTs include candidate genes encoding for enzymes of sugar and carotenoid metabolic pathways that were cloned from melon cDNA or identified through mining of the International Cucurbit Genomics Initiative database (http://www.icugi.org/). The map covers 1,222 cM with an average of 2.672 cM between markers. In addition, a skeleton physical map was initiated and 29 melon BACs harboring fruit ESTs were localized to the 12 linkage groups of the map. Altogether, 44 fruit QTLs were identified: 25 confirming QTLs described using other populations and 19 newly described QTLs. The map includes QTLs for fruit sugar content, particularly sucrose, the major sugar affecting sweetness in melon fruit. Six QTLs interacting in an additive manner account for nearly all the difference in sugar content between the two genotypes. Three QTLs for fruit flesh color and carotenoid content were identified. Interestingly, no clear colocalization of QTLs for either sugar or carotenoid content was observed with over 40 genes encoding for enzymes involved in their metabolism. The RI population described here provides a useful resource for further genomics and metabolomics studies in melon, as well as useful markers for breeding for fruit quality.
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Affiliation(s)
- R Harel-Beja
- Department of Vegetable Research, Agricultural Research Organization, Newe Ya'ar Research Center, P.O. Box 1021, Ramat Yishay, 30095, Israel
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