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Deciphering genetic factors that determine melon fruit-quality traits using RNA-Seq-based high-resolution QTL and eQTL mapping.
Galpaz, Navot; Gonda, Itay; Shem-Tov, Doron; Barad, Omer; Tzuri, Galil; Lev, Shery; Fei, Zhangjun; Xu, Yimin; Mao, Linyong; Jiao, Chen; Harel-Beja, Rotem; Doron-Faigenboim, Adi; Tzfadia, Oren; Bar, Einat; Meir, Ayala; Sa'ar, Uzi; Fait, Aaron; Halperin, Eran; Kenigswald, Merav; Fallik, Elazar; Lombardi, Nadia; Kol, Guy; Ronen, Gil; Burger, Yosef; Gur, Amit; Tadmor, Ya'akov; Portnoy, Vitaly; Schaffer, Arthur A; Lewinsohn, Efraim; Giovannoni, James J; Katzir, Nurit.
Affiliation
  • Galpaz N; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Gonda I; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Shem-Tov D; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Barad O; NRGENE, Park HaMada Ness Ziona, Israel.
  • Tzuri G; Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
  • Lev S; NRGENE, Park HaMada Ness Ziona, Israel.
  • Fei Z; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Xu Y; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Mao L; Institute of Life Science, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Jiao C; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Harel-Beja R; USDA-ARS Robert W. Holley Center for Agriculture and Health, Ithaca, New York, USA.
  • Doron-Faigenboim A; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Tzfadia O; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Bar E; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Meir A; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Sa'ar U; Department of Vegetable and Field Crops, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel.
  • Fait A; VIB Department of Plant Systems Biology, Ghent University, Gent, Belgium.
  • Halperin E; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Kenigswald M; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Fallik E; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Lombardi N; The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Kol G; Department of Molecular Microbiology and Biotechnology, Tel-Aviv University, Tel-Aviv, Israel.
  • Ronen G; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
  • Burger Y; Institute of Life Science, Hebrew University of Jerusalem, Jerusalem, Israel.
  • Gur A; Department of Postharvest Science of Fresh Produce, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel.
  • Tadmor Y; Department of Postharvest Science of Fresh Produce, Volcani Center, Agricultural Research Organization, Rishon LeZion, Israel.
  • Portnoy V; Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, New York, USA.
  • Schaffer AA; Department of Agricultural Sciences, University of Naples, Portici, Italy.
  • Lewinsohn E; NRGENE, Park HaMada Ness Ziona, Israel.
  • Giovannoni JJ; NRGENE, Park HaMada Ness Ziona, Israel.
  • Katzir N; Department of Vegetable and Field Crops, Newe Ya'ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel.
Plant J ; 94(1): 169-191, 2018 04.
Article in En | MEDLINE | ID: mdl-29385635
ABSTRACT
Combined quantitative trait loci (QTL) and expression-QTL (eQTL) mapping analysis was performed to identify genetic factors affecting melon (Cucumis melo) fruit quality, by linking genotypic, metabolic and transcriptomic data from a melon recombinant inbred line (RIL) population. RNA sequencing (RNA-Seq) of fruit from 96 RILs yielded a highly saturated collection of > 58 000 single-nucleotide polymorphisms, identifying 6636 recombination events that separated the genome into 3663 genomic bins. Bin-based QTL analysis of 79 RILs and 129 fruit-quality traits affecting taste, aroma and color resulted in the mapping of 241 QTL. Thiol acyltransferase (CmThAT1) gene was identified within the QTL interval of its product, S-methyl-thioacetate, a key component of melon fruit aroma. Metabolic activity of CmThAT1-encoded protein was validated in bacteria and in vitro. QTL analysis of flesh color intensity identified a candidate white-flesh gene (CmPPR1), one of two major loci determining fruit flesh color in melon. CmPPR1 encodes a member of the pentatricopeptide protein family, involved in processing of RNA in plastids, where carotenoid and chlorophyll pigments accumulate. Network analysis of > 12 000 eQTL mapped for > 8000 differentially expressed fruit genes supported the role of CmPPR1 in determining the expression level of plastid targeted genes. We highlight the potential of RNA-Seq-based QTL analysis of small to moderate size, advanced RIL populations for precise marker-assisted breeding and gene discovery. We provide the following resources a RIL population genotyped with a unique set of SNP markers, confined genomic segments that harbor QTL governing 129 traits and a saturated set of melon eQTLs.
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Full text: 1 Database: MEDLINE Main subject: Chromosome Mapping / Cucurbitaceae / Quantitative Trait Loci / Fruit Type of study: Prognostic_studies Language: En Year: 2018 Type: Article

Full text: 1 Database: MEDLINE Main subject: Chromosome Mapping / Cucurbitaceae / Quantitative Trait Loci / Fruit Type of study: Prognostic_studies Language: En Year: 2018 Type: Article