scholarly journals Functionally Divergent Alleles and Duplicated Loci Encoding an Acyltransferase Contribute to Acylsugar Metabolite Diversity in Solanum Trichomes

2015 ◽  
Vol 27 (4) ◽  
pp. 1002-1017 ◽  
Author(s):  
Anthony L. Schilmiller ◽  
Gaurav D. Moghe ◽  
Pengxiang Fan ◽  
Banibrata Ghosh ◽  
Jing Ning ◽  
...  
Keyword(s):  
Metabolite Diversity ◽  
Duplicated Loci

Secondary Tetrasomic Segregation of MDH-B and Preferential Pairing of Homeologues in Rainbow Trout

Genetics ◽  
1997 ◽  
Vol 145 (4) ◽  
pp. 1083-1092 ◽  
Author(s):  
Fred W Allendorf ◽  
Roy G Danzmann
Keyword(s):  
Allelic Variation ◽  
Male Meiosis ◽  
Proximal Region ◽  
Stage Model ◽  
Preferential Pairing ◽  
Homologous Chromosomes ◽  
Tetrasomic Inheritance ◽  
Segregation Ratios ◽  
Homeologous Chromosomes ◽  
Duplicated Loci

We examined the inheritance of allelic variation at an isozyme locus, MDH-B, duplicated by ancestral polyploidy in salmonid fishes. We detected only disomic segregation in females. Segregation ratios in males were best explained by a mixture of disomic and tetrasomic inheritance. We propose a two-stage model of pairing in male meiosis in which, first, homologous chromosomes pair and recombine in the proximal region of the chromosome. Next, homeologous chromosomes pair and recombine distally. We suggest that this type of tetrasomic inheritance in which centromeres segregate disomically should be referred to as “secondary tetrasomy” to distinguish it from tetrasomy involving entire chromosomes (i.e., “primary tetrasomy”). Differences in segregation ratios between males indicate differences between individuals in the amount of recombination between homeologous chromosomes. We also consider the implication of these results for estimation of allele frequencies at duplicated loci in salmonid populations.

scholarly journals Assessing specialized metabolite diversity of Alnus species by a digitized LC–MS/MS data analysis workflow

2020 ◽  
Vol 173 ◽  
pp. 112292 ◽  
Author(s):  
Kyo Bin Kang ◽  
Sunmin Woo ◽  
Madeleine Ernst ◽  
Justin J.J. van der Hooft ◽  
Louis-Félix Nothias ◽  
...  
Keyword(s):  
Data Analysis ◽  
Analysis Workflow ◽  
Metabolite Diversity

Assigning alleles to different loci in amplifications of duplicated loci

2019 ◽  
Vol 19 (5) ◽  
pp. 1240-1253 ◽  
Author(s):  
Kang Huang ◽  
Pei Zhang ◽  
Derek W. Dunn ◽  
Tongcheng Wang ◽  
Rui Mi ◽  
...  
Keyword(s):  
Duplicated Loci

scholarly journals Assessing Specialized Metabolite Diversity in the Cosmopolitan Plant Genus Euphorbia L.

2019 ◽  
Vol 10 ◽  
Author(s):  
Madeleine Ernst ◽  
Louis-Félix Nothias ◽  
Justin J. J. van der Hooft ◽  
Ricardo R. Silva ◽  
C. Haris Saslis-Lagoudakis ◽  
...  
Keyword(s):  
Metabolite Diversity

scholarly journals New Azaphilones from Nigrospora oryzae Co-Cultured with Beauveria bassiana

Molecules ◽  
2018 ◽  
Vol 23 (7) ◽  
pp. 1816 ◽  
Author(s):  
Zhuo-Xi Zhang ◽  
Xue-Qiong Yang ◽  
Qing-Yan Zhou ◽  
Bang-Yan Wang ◽  
Ming Hu ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Spectral Analysis ◽  
Beauveria Bassiana ◽  
Inhibitory Activity ◽  
Competitive Interaction ◽  
Dendrobium Officinale ◽  
Oxygen Bridge ◽  
Metabolite Diversity ◽  
Nigrospora Oryzae

In this study, the co-culture of Nigrospora oryzae and Beauveria bassiana, the endophytes in the seeds of Dendrobium officinale, were examined for metabolite diversity. Five new azaphilones were isolated, and their structures were determined by spectral analysis. In terms of azaphilones, compound 2 had an unprecedented skeleton, with a bicyclic oxygen bridge. The antifungal selectivities of the metabolite produced by N. oryzae against its co-culture fungus, B. bassiana, and common pathogens exhibited competitive interaction in this mix-culture. Compounds 1 and 2 showed obvious nitric oxide (NO) inhibitory activity with ratios of 37%, and 39%, respectively, at a concentration of 50 μM.

scholarly journals Illuminating a plant’s tissue-specific metabolic diversity using computational metabolomics and information theory

2016 ◽  
Vol 113 (47) ◽  
pp. E7610-E7618 ◽  
Author(s):  
Dapeng Li ◽  
Sven Heiling ◽  
Ian T. Baldwin ◽  
Emmanuel Gaquerel
Keyword(s):  
Information Theory ◽  
Secondary Metabolism ◽  
Gene Function ◽  
Tissue Level ◽  
Two Dimensions ◽  
Molecular Networks ◽  
Specific Gene ◽  
Theory Analysis ◽  
Tissue Specific ◽  
Metabolite Diversity

Secondary metabolite diversity is considered an important fitness determinant for plants’ biotic and abiotic interactions in nature. This diversity can be examined in two dimensions. The first one considers metabolite diversity across plant species. A second way of looking at this diversity is by considering the tissue-specific localization of pathways underlying secondary metabolism within a plant. Although these cross-tissue metabolite variations are increasingly regarded as important readouts of tissue-level gene function and regulatory processes, they have rarely been comprehensively explored by nontargeted metabolomics. As such, important questions have remained superficially addressed. For instance, which tissues exhibit prevalent signatures of metabolic specialization? Reciprocally, which metabolites contribute most to this tissue specialization in contrast to those metabolites exhibiting housekeeping characteristics? Here, we explore tissue-level metabolic specialization in Nicotiana attenuata, an ecological model with rich secondary metabolism, by combining tissue-wide nontargeted mass spectral data acquisition, information theory analysis, and tandem MS (MS/MS) molecular networks. This analysis was conducted for two different methanolic extracts of 14 tissues and deconvoluted 895 nonredundant MS/MS spectra. Using information theory analysis, anthers were found to harbor the most specialized metabolome, and most unique metabolites of anthers and other tissues were annotated through MS/MS molecular networks. Tissue–metabolite association maps were used to predict tissue-specific gene functions. Predictions for the function of two UDP-glycosyltransferases in flavonoid metabolism were confirmed by virus-induced gene silencing. The present workflow allows biologists to amortize the vast amount of data produced by modern MS instrumentation in their quest to understand gene function.

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