Background: The phylogenetic relationships among the holoparasites of Rafflesiales have remained enigmatic for over a century. Recent molecular phylogenetic studies using the mitochondrial matR gene placed Rafflesia, Rhizanthes and Sapria (Rafflesiaceae s. str.) in the angiosperm order Malpighiales and Mitrastema (Mitrastemonaceae) in Ericales. These phylogenetic studies did not, however, sample two additional groups traditionally classified within Rafflesiales (Apodantheaceae and Cytinaceae). Here we provide molecular phylogenetic evidence using DNA sequence data from mitochondrial and nuclear genes for representatives of all genera in Rafflesiales.
Results: Our analyses indicate that the phylogenetic affinities of the large-flowered clade and Mitrastema, ascertained using mitochondrial matR, are congruent with results from nuclear SSU rDNA when these data are analyzed using maximum likelihood and Bayesian methods. The relationship of Cytinaceae to Malvales was recovered in all analyses. Relationships between Apodanthaceae and photosynthetic angiosperms varied depending upon the data partition: Malvales (3-gene), Cucurbitales (matR) or Fabales (atp1). The latter incongruencies suggest that horizontal gene transfer (HGT) may be affecting the mitochondrial gene topologies. The lack of association between Mitrastema and Ericales using atp1 is suggestive of HGT, but greater sampling within eudicots is needed to test this hypothesis further.
Conclusions: Rafflesiales are not monophyletic but composed of three or four independent lineages (families): Rafflesiaceae, Mitrastemonaceae, Apodanthaceae and Cytinaceae. Long-branch attraction appears to be misleading parsimony analyses of nuclear small-subunit rDNA data, but model-based methods (maximum likelihood and Bayesian analyses) recover a topology that is congruent with the mitochondrial matR gene tree, thus providing compelling evidence for organismal relationships. Horizontal gene transfer appears to be influencing only some taxa and some mitochondrial genes, thus indicating that the process is acting at the single gene (not whole genome) level.
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http://dx.doi.org/10.1186/1471-2148-4-40 | DOI Listing |
Alzheimers Dement
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University of Michigan Medical School, Ann Arbor, MI, USA.
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Alzheimers Dement
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New York University Grossman School of Medicine, New York, NY, USA.
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View Article and Find Full Text PDFInt J Microbiol
December 2024
Department of Nutrition, Faculty of Health Sciences, Lúrio University, Marrere Campus, Nampula 4250, Mozambique.
Fermented foods, particularly fermented dairy products, offer significant health benefits but also present serious concerns. Probiotic bacteria, such as lactic acid bacteria (LAB), found in these foods have been strongly linked to the selection and dissemination of antibiotic resistance genes (ARGs). This study aims to examine the potential risks associated with fermented foods, despite their importance in human nutrition, by analyzing the entire production chain from raw material acquisition to storage.
View Article and Find Full Text PDFPlant Cell Environ
January 2025
Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece.
Legume plants can interact with nitrogen-fixing rhizobia bacteria and arbuscular mycorrhizal fungi (AMF) simultaneously, forming a tripartite symbiotic association. Co-inoculation studies performed on a variety of legumes have shown that rhizobia and AMF influence each other when they co-occur in tripartite association and affect host plant nutrition and performance. Although single plant-microbe interactions have been extensively studied, our understanding in the field of tripartite interactions is insufficient and current knowledge cannot predict the symbiotic outcome, which appears to depend on many parameters.
View Article and Find Full Text PDFNat Microbiol
January 2025
Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lateral gene transfer (LGT), also known as horizontal gene transfer, facilitates genomic diversification in microbial populations. While previous work has surveyed LGT in human-associated microbial isolate genomes, the landscape of LGT arising in personal microbiomes is not well understood, as there are no widely adopted methods to characterize LGT from complex communities. Here we developed, benchmarked and validated a computational algorithm (WAAFLE or Workflow to Annotate Assemblies and Find LGT Events) to profile LGT from assembled metagenomes.
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