Abstract MYB is a large family of plant transcription factors. Its function has been identified in several plants, while there are few reports in Medicago truncatula. In this study, we used RNA-seq data to analyze and identify R2R3-MYB genes in the genome of Medicago truncatula. Phylogenetic analysis classified 150 MtMYB genes into 21 subfamilies with homologs. Out of the 150 MtMYB genes, 139 were distributed among 8 chromosomes, with tandem duplications (TD) and segment duplications (SD). Microarray data were used for functional analysis of the MtMYB genes during growth and developmental processes providing evidence for a role in tissues differentiation, seed development processes, and especially the nodulation process. Furthermore, we investigated the expression of MtMYB genes in response to abiotic stresses using RNA-seq data, which confirmed the critical roles in signal transduction and regulation processes under abiotic stress. We used quantitative real-time PCR (qRT-PCR) to validate expression profiles. The expression pattern of M. truncatula MYB genes under different abiotic stress conditions suggest that some may play a major role in cross-talk among different signal transduction pathways in response to abiotic stresses. Our study will serve as a foundation for future research into the molecular function of M. truncatula R2R3-MYB genes.

Abstract Medicago ruthenica is a perennial forage legume with the remarkable ability to survive under unfavorable environmental conditions. It has been identified as an excellent species of Medicago that can adapt to various environmental stresses including low temperature, drought, and salinity. To investigate its potential as a genetic resource, we performed transcriptome sequencing and analysis in M. ruthenica under abiotic stresses. We generated >120 million reads from six cDNA libraries, resulting in 79,249 unique transcripts, most of which were highly similar to transcripts from M. truncatula (44,608, 56.3%) and alfalfa (M. sativa, 48,023, 60.6%). Based on gene expression profiles, 2,721 transcripts were identified as abiotic stress responsive genes which were predicted to be mainly involved in phytohormone signaling pathways, transcriptional regulation, and ROS-scavenging. These results suggest that they play critical roles in the response to abiotic stress. In summary, we identified genes in our transcriptome dataset involved in the regulation of the abiotic stress response in M. ruthenica which will provide a valuable resource for the future identification and functional analysis of candidate genes for adaption to unfavorable conditions. The genes identified here could be also useful for improving stress tolerance traits in alfalfa through molecular breeding in the future.

Abstract Alfalfa (Medicago sativa L.) is an important perennial forage, with high nutritional value, which is widely grown in the world. Because of low freezing tolerance, its distribution and production are threatened and limited by winter weather. To understand the complex regulation mechanisms of freezing tolerance in alfalfa, we performed transcriptome sequencing analysis under cold (4 °C) and freezing (-8 °C) stresses. More than 66 million reads were generated, and we identified 5767 transcripts differentially expressed in response to cold and/or freezing stresses. These results showed that these genes were mainly classified as response to stress, transcription regulation, hormone signaling pathway, antioxidant, nodule morphogenesis, etc., implying their important roles in response to cold and freezing stresses. Furthermore, nine CBF transcripts differentially expressed were homologous to CBF genes of Mt-FTQTL6 site, conferring freezing tolerance in M. truncatula, which indicated that a genetic mechanism controlling freezing tolerance was conservative between M. truncatula and M. sativa. In summary, this transcriptome dataset highlighted the gene regulation response to cold and/or freezing stresses in alfalfa, which provides a valuable resource for future identification and functional analysis of candidate genes in determining freezing tolerance.