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Medicago truncatulais a model legume for fundamental research on legume biology and symbiotic nitrogen fixation.Tnt1, a retrotransposon from tobacco, was used to generate insertion mutants inM. truncatulaR108. Approximately 21 000 insertion lines have been generated and publicly available.Tnt1retro‐transposition event occurs during somatic embryogenesis (SE), a pivotal process that triggers massive methylation changes. We studied the SE ofM. truncatulaR108 using leaf explants and explored the dynamic shifts in the methylation landscape from leaf explants to callus formation and finally embryogenesis. Higher cytosine methylation in all three contexts of CG, CHG, and CHH patterns was observed during SE compared to the controls. Higher methylation patterns were observed in assumed promoter regions (~2‐kb upstream regions of transcription start site) of the genes, while lowest was recorded in the untranslated regions. Differentially methylated promoter region analysis showed a higher CHH methylation in embryogenesis tissue samples when compared to CG and CHG methylation. Strong correlation (89.71%) was identified between the differentially methylated regions (DMRs) and the site ofTnt1insertions inM. truncatulaR108 and stronger hypermethylation of genes correlated with higher number ofTnt1insertions in all contexts of CG, CHG, and CHH methylation. Gene ontology enrichment and KEGG pathway enrichment analysis identified genes and pathways enriched in the signal peptide processing, ATP hydrolysis, RNA polymerase activity, transport, secondary metabolites, and nitrogen metabolism pathways. Combined gene expression analysis and methylation profiling showed an inverse relationship between methylation in the DMRs (regions spanning genes) and the expression of genes. Our results show that a dynamic shift in methylation happens during the SE process in the context of CG, CHH and CHG methylation, and theTnt1retrotransposition correlates with the hyperactive methylation regions.

 

Legumes are of great interest for sustainable agricultural production as they fix atmospheric nitrogen to improve the soil. Medicago truncatula is a well-established model legume, and extensive studies in fundamental molecular, physiological, and developmental biology have been undertaken to translate into trait improvements in economically important legume crops worldwide. However, M. truncatula reference genome was generated in the accession Jemalong A17, which is highly recalcitrant to transformation. M. truncatula R108 is more attractive for genetic studies due to its high transformation efficiency and Tnt1-insertion population resource for functional genomics. The need to perform accurate synteny analysis and comprehensive genome-scale comparisons necessitates a chromosome-length genome assembly for M. truncatula cv. R108. Here, we performed in situ Hi-C (48×) to anchor, order, orient scaffolds, and correct misjoins of contigs in a previously published genome assembly (R108 v1.0), resulting in an improved genome assembly containing eight chromosome-length scaffolds that span 97.62% of the sequenced bases in the input assembly. The long-range physical information data generated using Hi-C allowed us to obtain a chromosome-length ordering of the genome assembly, better validate previous draft misjoins, and provide further insights accurately predicting synteny between A17 and R108 regions corresponding to the known chromosome 4/8 translocation. Furthermore, mapping the Tnt1 insertion landscape on this reference assembly presents an important resource for M. truncatula functional genomics by supporting efficient mutant gene identification in Tnt1 insertion lines. Our data provide a much-needed foundational resource that supports functional and molecular research into the Leguminosae for sustainable agriculture and feeding the future. 

Plants being sessile integrate information from a variety of endogenous and external cues simultaneously to optimize growth and development. This necessitates the signaling networks in plants to be highly dynamic and flexible. One such network involves heterotrimeric G‐proteins comprised of Gα, Gβ, and Gγ subunits, which influence many aspects of growth, development, and stress response pathways. In plants such as Arabidopsis, a relatively simple repertoire of G‐proteins comprised of one canonical and three extra‐large Gα, one Gβ and three Gγ subunits exists. Because the Gβ and Gγ proteins form obligate dimers, the phenotypes of plants lacking the soleGβor allGγgenes are similar, as expected. However, Gα proteins can exist either as monomers or in a complex with Gβγ, and the details of combinatorial genetic and physiological interactions of different Gα proteins with the sole Gβ remain unexplored. To evaluate such flexible, signal‐dependent interactions and their contribution toward eliciting a specific response, we have generated Arabidopsis mutants lacking specific combinations ofGαandGβgenes, performed extensive phenotypic analysis, and evaluated the results in the context of subunit usage and interaction specificity. Our data show that multiple mechanistic modes, and in some cases complex epistatic relationships, exist depending on the signal‐dependent interactions between the Gα and Gβ proteins. This suggests that, despite their limited numbers, the inherent flexibility of plant G‐protein networks provides for the adaptability needed to survive under continuously changing environments.

 

From a single transgenic line harboring fiveTnt1transposon insertions, we generated a near‐saturated insertion population inMedicago truncatula. Using thermal asymmetric interlaced‐polymerase chain reaction followed by sequencing, we recovered 388 888 flanking sequence tags (FSTs) from 21 741 insertion lines in this population.FSTrecovery from 14Tnt1lines using the whole‐genome sequencing (WGS) and/orTnt1‐capture sequencing approaches suggests an average of 80 insertions per line, which is more than the previous estimation of 25 insertions. Analysis of the distribution pattern and preference ofTnt1insertions showed thatTnt1is overall randomly distributed throughout theM. truncatulagenome. At the chromosomal level,Tnt1insertions occurred on both arms of all chromosomes, with insertion frequency negatively correlated with theGCcontent. Based on 174 546 filteredFSTs that show exact insertion locations in theM. truncatulagenome version 4.0 (Mt4.0), 0.44Tnt1insertions occurred per kb, and 19 583 genes containedTnt1with an average of 3.43 insertions per gene. Pathway and gene ontology analyses revealed thatTnt1‐inserted genes are significantly enriched in processes associated with ‘stress’, ‘transport’, ‘signaling’ and ‘stimulus response’. Surprisingly, gene groups with higher methylation frequency were more frequently targeted for insertion. Analysis of 19 583Tnt1‐inserted genes revealed that 59% (1265) of 2144 transcription factors, 63% (765) of 1216 receptor kinases and 56% (343) of 616 nucleotide‐binding site‐leucine‐rich repeat genes harbored at least oneTnt1insertion, compared with the overall 38% ofTnt1‐inserted genes out of 50 894 annotated genes in the genome.