Phylogenetic analysis and differential expression of EF1α genes in soybean during development, stress and phytohormone treatments.
Mol Genet Genomics
; 291(4): 1505-22, 2016 Aug.
Article
in En
| MEDLINE
| ID: mdl-26984342
The EF1α is a multifunctional protein with additional unrelated activities to its primary function in translation. This protein is encoded by a multigene family and few studies are still available in plants. Expression of six EF1α genes in Glycine max was performed using RT-qPCR and RNA-seq data to advance in the function of each gene during plant development, stress conditions and phytohormone treatments. A phylogenetic classification in Phaseoleae tribe was used to identify the G. max EF1α genes (EF1α 1a1, 1a2, 1b, 2a, 2b and 3). Three EF1α types (1-3) were found in Phaseoleae revealing duplications in G. max types 1 and 2. EF1α genes were expressed in all studied tissues, however, specific amount of each transcript was detected. In plant development, all EF1α transcripts were generally more expressed in younger tissues, however, in unifoliolate leaves and cotyledons a higher expression occurred in older tissues. Five EF1α genes (except 2a) were up-regulated under stress in a response tissue/stress/cultivar-dependent. EF1α 3 was the most stress-induced gene linked to cultivar stress tolerance mainly in aerial tissues. Auxin, salicylate and ethylene induced differentially the EF1α expression. Overall, this study provides a consistent EF1α classification in Phaseoleae tribe to better understand their functional evolution. The RT-qPCR and RNA-seq EF1α expression profiles were consistent, both exhibiting expression diversification of each gene (spatio-temporal, stress and phytohormone stimuli). Our results point out the EF1α genes, especially EF1α 3, as candidate for developing a useful tool for future G. max breeding.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Plant Growth Regulators
/
Plant Proteins
/
Glycine max
/
Stress, Physiological
/
Eukaryotic Initiation Factor-1
/
Gene Expression Profiling
Type of study:
Prognostic_studies
Language:
En
Journal:
Mol Genet Genomics
Journal subject:
BIOLOGIA MOLECULAR
/
GENETICA
Year:
2016
Document type:
Article
Affiliation country:
Brasil
Country of publication:
Alemania