Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds

Nunes Nesi, Adriano; Alseekh, Saleh; de Oliveira Silva, Franklin Magnum; Omranian, Nooshin; Lichtenstein, GabrielIcon ; Mirnezhad, Mohammad; Romero González, Roman R.; Sabio y Garcia, Julia VeronicaIcon ; Conte, Mariana; Leiss, Kirsten A.; Klinkhamer, Peter G. L.; Nikoloski, Zoran; Carrari, Fernando OscarIcon ; Fernie, Alisdair R.
Fecha de publicación: 04/2019
Editorial: Springer
Revista: Metabolomics
ISSN: 1573-3882
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Bioquímica y Biología Molecular

Resumen

Introduction: To date, most studies of natural variation and metabolite quantitative trait loci (mQTL) in tomato have focused on fruit metabolism, leaving aside the identification of genomic regions involved in the regulation of leaf metabolism. Objective: This study was conducted to identify leaf mQTL in tomato and to assess the association of leaf metabolites and physiological traits with the metabolite levels from other tissues. Methods: The analysis of components of leaf metabolism was performed by phenotypying 76 tomato ILs with chromosome segments of the wild species Solanum pennellii in the genetic background of a cultivated tomato (S. lycopersicum) variety M82. The plants were cultivated in two different environments in independent years and samples were harvested from mature leaves of non-flowering plants at the middle of the light period. The non-targeted metabolite profiling was obtained by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). With the data set obtained in this study and already published metabolomics data from seed and fruit, we performed QTL mapping, heritability and correlation analyses. Results: Changes in metabolite contents were evident in the ILs that are potentially important with respect to stress responses and plant physiology. By analyzing the obtained data, we identified 42 positive and 76 negative mQTL involved in carbon and nitrogen metabolism. Conclusions: Overall, these findings allowed the identification of S. lycopersicum genome regions involved in the regulation of leaf primary carbon and nitrogen metabolism, as well as the association of leaf metabolites with metabolites from seeds and fruits.
Palabras clave: LEAF METABOLISM , METABOLITE NETWORK , METABOLITE QTL , TOMATO
Ver el registro completo
 
Archivos asociados
Thumbnail
 
Tamaño: 1.644Mb
Formato: PDF
.
Descargar
Licencia
info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution 2.5 Unported (CC BY 2.5)
Identificadores
URI: http://hdl.handle.net/11336/133396
URL: https://link.springer.com/article/10.1007/s11306-019-1503-8
DOI: http://dx.doi.org/10.1007/s11306-019-1503-8
Colecciones
Articulos(IFIBYNE)
Articulos de INST.DE FISIOL., BIOL.MOLECULAR Y NEUROCIENCIAS
Articulos(IMPAM)
Articulos de INSTITUTO DE INVESTIGACIONES EN MICROBIOLOGIA Y PARASITOLOGIA MEDICA
Citación
Nunes Nesi, Adriano; Alseekh, Saleh; de Oliveira Silva, Franklin Magnum; Omranian, Nooshin; Lichtenstein, Gabriel; et al.; Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds; Springer; Metabolomics; 15; 4; 4-2019; 1-13
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES