Medicago truncatula
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA248946 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcription profiling by array of Drosophila dLmo loss-of-function and gain-of-function mutants
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Project description:To gain a molecular understanding of the loss-of-function mutation of a transcription factor involved in leaf morphogenesis impacts symmetric cuticular wax loading in M. truncatula, we compared the transcript profiles of wild-type R108 and three independent irg1/palm1 homozygous null mutant lines (irg1-1, irg1-2, and irg1-5).
2012-03-01 | E-MEXP-3190 | biostudies-arrayexpress
Project description:Transcriptome of Medicago truncatula abi5 mutants during seed development
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Project description:Gene expression response in roots of Medicago truncatula mutants treated with Myc-LCOs
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Project description:Transcription profiling by array of Drosophila ovaries with gain or loss of function of EGFR or BMP
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Project description:Comparison of plant responses upon Aphanomyces euteiches infection in wild type (A17) and NFP allelic mutants
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Project description:affy_med_2011_10- Comparison of plant responses upon Aphanomyces euteiches infection in wild type (A17) line and in the lyr3-1 and lyr3-2 mutants
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Project description:Legumes (Fabaceae, Leguminosae) are unique in their ability to carry out an elaborate endosymbiotic nitrogen fixation process with rhizobia proteobacteria. The symbiotic nitrogen fixation enables the host plants to grow almost independently of any other nitrogen source. Establishment of symbiosis requires adaptations of the host cellular metabolism, here foremost of the energy metabolism mainly taking place in mitochondria. Since the early 1990s, the galegoid legume Medicago truncatula Gaertn. is a well-established model for studying legume biology, but little is known about the protein complement of mitochondria from this species. An initial characterization of the mitochondrial proteome of M. truncatula (Jemalong A17) was published recently. In the frame of this study, mitochondrial protein complexes were characterized using Two-dimensional (2D) Blue native (BN)/SDS-PAGE. From 139 detected spots, the "first hit" (=most abundant) proteins of 59 spots were identified by mass spectrometry. Here, we present a comprehensive analysis of the mitochondrial "complexome" (the "protein complex proteome") of M. truncatula via 2D BN/SDS-PAGE in combination with highly sensitive MS protein identification. In total, 1,485 proteins were identified within 158 gel spots, representing 467 unique proteins. Data evaluation by the novel GelMap annotation tool allowed recognition of protein complexes of low abundance. Overall, at least 36 mitochondrial protein complexes were found. To our knowledge several of these complexes were described for the first time in Medicago. The data set is accessible under http://www.gelmap.de/medicago/. The mitochondrial protein complex proteomes of Arabidopsis available at http://www.gelmap.de/arabidopsis/ and Medicago are compared.
| S-EPMC3625726 | biostudies-literature
Project description:RNA-seq analysis of Arabidopsis ATAF2 loss- and gain-of-function mutants
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Project description:BackgroundMedicago truncatula has been chosen as a model species for genomic studies. It is closely related to an important legume, alfalfa. Transporters are a large group of membrane-spanning proteins. They deliver essential nutrients, eject waste products, and assist the cell in sensing environmental conditions by forming a complex system of pumps and channels. Although studies have effectively characterized individual M. truncatula transporters in several databases, until now there has been no available systematic database that includes all transporters in M. truncatula.DescriptionThe M. truncatula transporter database (MTDB) contains comprehensive information on the transporters in M. truncatula. Based on the TransportTP method, we have presented a novel prediction pipeline. A total of 3,665 putative transporters have been annotated based on International Medicago Genome Annotated Group (IMGAG) V3.5 V3 and the M. truncatula Gene Index (MTGI) V10.0 releases and assigned to 162 families according to the transporter classification system. These families were further classified into seven types according to their transport mode and energy coupling mechanism. Extensive annotations referring to each protein were generated, including basic protein function, expressed sequence tag (EST) mapping, genome locus, three-dimensional template prediction, transmembrane segment, and domain annotation. A chromosome distribution map and text-based Basic Local Alignment Search Tools were also created. In addition, we have provided a way to explore the expression of putative M. truncatula transporter genes under stress treatments.ConclusionsIn summary, the MTDB enables the exploration and comparative analysis of putative transporters in M. truncatula. A user-friendly web interface and regular updates make MTDB valuable to researchers in related fields. The MTDB is freely available now to all users at http://bioinformatics.cau.edu.cn/MtTransporter/.
| S-EPMC3298476 | biostudies-literature