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e Bayesian inference tree based on complete chloroplast genomes. All clades have maximum PP values (1.0). e numbers in square brackets indicate the number of MDCs.

e Bayesian inference tree based on complete chloroplast genomes. All clades have maximum PP values (1.0). e numbers in square brackets indicate the number of MDCs.

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i>Orthotrichum cupulatum var. lithophilum is described as a new variety from Tasmania, Australia. The species is primarily characterized by its exserted capsule with cryptoporous stomata, a single peristome with 16 exostome teeth, a bistratose lamina of stem leaves, and a densely hairy vaginula. Molecular data and a brief discussion comparing the n...

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Context 1
... analysis based on complete plastome sequences resolved all clades with maximum values of posterior probabilities ( Figure 2). e species of Orthotrichaceae formed two distinct clades, one grouping genera belonging to Lewinskyinae (Lewinskya, Pulvigera and Ulota) and the second formed by members of Orthotrichinae (Nyholmiella, Stoneobryum D.H. Norris & H. Rob. and Orthotrichum s.str.). ...
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... to 1,336 for Orthotrichum stellatum Brid. (Figure 2 of MDCs were found for species of Lewinskya. With the exception of L. incana (Müll. ...
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... main difference between the plastid and mitogenomics datasets is in the relationships of Nyholmiella and Stoneobryum to Orthotrichum s.str. e phylogenomics analysis based on complete mitogenomes poorly supported the common clade of Stoneobryum and Orthotrichum in ML analysis and unresolved Orthotrichinae intergeneric relationships in the case of the BI method ( Sawicki et al., 2017), while the plastomic dataset relates Nyholmiella as a sister to Orthotrichum and Stoneobryum as basal for Orthotrichinae with maximal node support ( Figure 2). ...
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... analysis based on complete plastome sequences resolved all clades with maximum values of posterior probabilities ( Figure 2). e species of Orthotrichaceae formed two distinct clades, one grouping genera belonging to Lewinskyinae (Lewinskya, Pulvigera and Ulota) and the second formed by members of Orthotrichinae (Nyholmiella, Stoneobryum D.H. Norris & H. Rob. and Orthotrichum s.str.). ...
Context 5
... to 1,336 for Orthotrichum stellatum Brid. (Figure 2 of MDCs were found for species of Lewinskya. With the exception of L. incana (Müll. ...
Context 6
... main difference between the plastid and mitogenomics datasets is in the relationships of Nyholmiella and Stoneobryum to Orthotrichum s.str. e phylogenomics analysis based on complete mitogenomes poorly supported the common clade of Stoneobryum and Orthotrichum in ML analysis and unresolved Orthotrichinae intergeneric relationships in the case of the BI method ( Sawicki et al., 2017), while the plastomic dataset relates Nyholmiella as a sister to Orthotrichum and Stoneobryum as basal for Orthotrichinae with maximal node support ( Figure 2). ...

Citations

... Recent improvement in nanopore sequencing technology enable the elimination of short-read technologies from laboratory pipelines and open new possibilities of assembling high-quality organellar genomes based exclusively on nanopore technology [22,[32][33][34][35]. This trajectory underscores the growing adoption and efficacy of nanopore technology in the realm of organellar genome sequencing, reflecting its expanding role in molecular biology and genomics research. ...
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In this comprehensive review, we explore the significant role that nanopore sequencing technology plays in the study of plant organellar genomes, particularly mitochondrial and chloro-plast DNA. To date, the application of nanopore sequencing has led to the successful sequencing of over 100 plant mitochondrial genomes and around 80 chloroplast genomes. These figures not only demonstrate the technology's robustness but also mark a substantial advancement in the field, highlighting its efficacy in decoding the complex and dynamic nature of these genomes. Nanopore se-quencing, known for its long-read capabilities, significantly surpasses traditional sequencing techniques , especially in addressing challenges like structural complexity and sequence repetitiveness in organellar DNA. This review delves into the nuances of nanopore sequencing, elaborating on its benefits compared to conventional methods and the groundbreaking applications it has fostered in plant organellar genomics. While its transformative impact is clear, the technology's limitations, including error rates and computational requirements, are discussed, alongside potential solutions and prospects for technological refinement.