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1.
Plant Biol (Stuttg) ; 21(3): 523-532, 2019 May.
Article in English | MEDLINE | ID: mdl-30120872

ABSTRACT

Lathyrus linifolius L. (Reichard) Bässler (Fabiaceae, bitter vetch) is a nitrogen (N) fixing species. A coloniser of low nutrient (N) soils, it supports biodiversity such as key moth and butterfly species, and its roots are known for their organoleptic and claimed therapeutic properties. Thus, the species has high potential for restoration, conservation, novel cropping and as a model species. The last because of its genetic synteny with important pulse crops. However, regeneration and functional attributes of L. linifolius remain to be characterised. Seeds of L. linifolius were characterised using physical, colorimetric and chemical data. Ultrastructural and functional characterisation of the N-fixing root nodules included immunolabelling with nifH protein antibodies (recognising the N-fixing enzyme, nitrogenase). Endosymbiotic bacteria were isolated from root nodules and characterised phylogenetically using 16S rRNA, nodA and nodD gene sequences. L. linifolius yielded heteromorphic seed of distinct colour classes: green and brown. Seed morphotypes had similar C:N ratios and were equally germinable (ca. 90%) after scarification at differing optimal temperatures (16 and 20 °C). Brown seeds were larger and comprised a larger proportion of the seed batch (69%). L. linifolius root nodules appeared indeterminate in structure, effective (capable of fixing atmospheric N) and having strains very similar to Rhizobium leguminosarum biovar viciae. The findings and rhizobial isolates have potential application for ecological restoration and horticulture using native seeds. Also, the data and rhizobial resources have potential applications in comparative and functional studies with related and socio-economically important crops such as Pisum, Lens and Vicia.


Subject(s)
Fabaceae/metabolism , Fabaceae/microbiology , Germination/physiology , Rhizobium/physiology , RNA, Ribosomal, 16S/genetics , Root Nodules, Plant/metabolism , Root Nodules, Plant/microbiology , Seeds/metabolism , Seeds/microbiology , Symbiosis/physiology
2.
New Phytol ; 180(3): 587-593, 2008.
Article in English | MEDLINE | ID: mdl-18801004

ABSTRACT

* The transcriptome of an organism is its set of gene transcripts (mRNAs) at a defined spatial and temporal locus. Because gene expression is affected markedly by environmental and developmental perturbations, it is widely assumed that transcriptome divergence among taxa represents adaptive phenotypic selection. This assumption has been challenged by neutral theories which propose that stochastic processes drive transcriptome evolution. * To test for evidence of neutral transcriptome evolution in plants, we quantified 18 494 gene transcripts in nonsenescent leaves of 14 taxa of Brassicaceae using robust cross-species transcriptomics which includes a two-step physical and in silico-based normalization procedure based on DNA similarity among taxa. * Transcriptome divergence correlates positively with evolutionary distance between taxa and with variation in gene expression among samples. Results are similar for pseudogenes and chloroplast genes evolving at different rates. Remarkably, variation in transcript abundance among root-cell samples correlates positively with transcriptome divergence among root tissues and among taxa. * Because neutral processes affect transcriptome evolution in plants, many differences in gene expression among or within taxa may be nonfunctional, reflecting ancestral plasticity and founder effects. Appropriate null models are required when comparing transcriptomes in space and time.


Subject(s)
Arabidopsis/genetics , Brassicaceae/genetics , Evolution, Molecular , Gene Expression Profiling , Genes, Plant , Genetic Drift , Arabidopsis Proteins/genetics , DNA Probes , Gene Expression , Genetic Variation , Genome, Chloroplast , Homeodomain Proteins/genetics , Models, Genetic , Phylogeny , Plant Roots/genetics , Pseudogenes , RNA, Messenger/genetics , Stochastic Processes , Transcription Factors/genetics
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