Details

Autor(en) / Beteiligte

• Oliveira Silva, Franklin Magnum
• Lichtenstein, Gabriel
• Alseekh, Saleh
• Rosado‐Souza, Laise
• Conte, Mariana
• Suguiyama, Vanessa Fuentes
• Lira, Bruno Silvestre
• Fanourakis, Dimitrios
• Usadel, Björn
• Bhering, Leonardo Lopes
• DaMatta, Fábio M.
• Sulpice, Ronan
• Araújo, Wagner L.
• Rossi, Magdalena
• Setta, Nathalia
• Fernie, Alisdair R.
• Carrari, Fernando
• Nunes‐Nesi, Adriano

Titel

The genetic architecture of photosynthesis and plant growth‐related traits in tomato

Ist Teil von

• Plant, cell and environment, 2018-02, Vol.41 (2), p.327-341

Ort / Verlag

United States: Wiley Subscription Services, Inc

Erscheinungsjahr

2018

Quelle

Wiley-Blackwell Full Collection

Beschreibungen/Notizen

• To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement. In this manuscript, genomic regions involved in the regulation of physiological processes such as photosynthesis, respiration, and underlying traits were identified. To accomplish this objective, we used a population of 71 Solanum pennellii introgression lines in the genetic background of S. lycopersicum. We analyzed leaf metabolites and physiological parameters of this population and linked these traits to the different allelic variant harbored by each line across two independent harvests. Data analyses allowed identification of 67 physiological and metabolic quantitative trait loci. Eleven genomic regions involved in starch levels in addition to seven and 16 related to shoot and root dry matter, respectively, were detected. Additionally, a comprehensive and detailed annotation of these regions allowed to point out 87 candidate genes involved in regulation of the four investigated traits. Taken together, we present the largest study of photosynthetic and growth parameters in tomato plants to date. Our results allowed the identification of candidate genes for regulation of photosynthesis, primary metabolism and plant growth, and thus providing new avenues for crop improvement.