Comparison of plastid genomes and ITS of two sister species in Gentiana and a discussion on potential threats for the endangered species from hybridization.

BACKGROUND: Gentiana rigescens Franchet is an endangered medicinal herb from the family Gentianaceae with medicinal values. Gentiana cephalantha Franchet is a sister species to G. rigescens possessing similar morphology and wider distribution. To explore the phylogeny of the two species and reveal potential hybridization, we adopted next-generation sequencing technology to acquire their complete chloroplast genomes from sympatric and allopatric distributions, as along with Sanger sequencing to produce the nrDNA ITS sequences. RESULTS: The plastid genomes were highly similar between G. rigescens and G. cephalantha. The lengths of the genomes ranged from 146,795 to 147,001 bp in G. rigescens and from 146,856 to 147,016 bp in G. cephalantha. All genomes consisted of 116 genes, including 78 protein-coding genes, 30 tRNA genes, four rRNA genes and four pseudogenes. The total length of the ITS sequence was 626 bp, including six informative sites. Heterozygotes occurred intensively in individuals from sympatric distribution. Phylogenetic analysis was performed based on chloroplast genomes, coding sequences (CDS), hypervariable sequences (HVR), and nrDNA ITS. Analysis based on all the datasets showed that G. rigescens and G. cephalantha formed a monophyly. The two species were well separated in phylogenetic trees using ITS, except for potential hybrids, but were mixed based on plastid genomes. This study supports that G. rigescens and G. cephalantha are closely related, but independent species. However, hybridization was confirmed to occur frequently between G. rigescens and G. cephalantha in sympatric distribution owing to the lack of stable reproductive barriers. Asymmetric introgression, along with hybridization and backcrossing, may probably lead to genetic swamping and even extinction of G. rigescens. CONCLUSION: G. rigescens and G. cephalantha are recently diverged species which might not have undergone stable post-zygotic isolation. Though plastid genome shows obvious advantage in exploring phylogenetic relationships of some complicated genera, the intrinsic phylogeny was not revealed because of matrilineal inheritance here; nuclear genomes or regions are hence crucial for uncovering the truth. As an endangered species, G. rigescens faces serious threats from both natural hybridization and human activities; therefore, a balance between conservation and utilization of the species is extremely critical in formulating conservation strategies.

Plastid phylogenomics and species discrimination in the "Chinese" clade of Roscoea (Zingiberaceae).

Roscoea is an alpine or subalpine genus from the pan-tropical family Zingiberaceae, which consists of two disjunct groups in geography, namely the "Chinese" clade and the "Himalayan" clade. Despite extensive research on the genus, Roscoea species remain poorly defined and relationships between these species are not well resolved. In this study, we used plastid genomes of nine species and one variety to resolve phylogenetic relationships within the "Chinese" clade of Roscoea and as DNA super barcodes for species discrimination. We found that Roscoea plastid genomes ranged in length from 163,063 to 163,796 bp, and encoded 113 genes, including 79 protein-coding genes, 30 tRNA genes, four rRNA genes. In addition, expansion and contraction of the IR regions showed obvious infraspecific conservatism and interspecific differentiation. Plastid phylogenomics revealed that species belonging to the "Chinese" clade of Roscoea can be divided into four distinct subclades. Furthermore, our analysis supported the independence of R. cautleoides var. pubescens, the recovery of Roscoea pubescens Z.Y. Zhu, and a close relationship between R. humeana and R. cautloides. When we used the plastid genome as a super barcode, we found that it possessed strong discriminatory power (90%) with high support values. Intergenic regions provided similar resolution, which was much better than that of protein-coding regions, hypervariable regions, and DNA universal barcodes. However, plastid genomes could not completely resolve Roscoea phylogeny or definitively discriminate species. These limitations are likely related to the complex history of Roscoea speciation, poorly defined species within the genus, and the maternal inheritance of plastid genomes.

A Multiview Deep Learning Method for Brain Functional Connectivity Classification.

The brain functional connectivity classification based on deep learning is a research hotspot nowadays. However, the classification performance is far behind the demand of clinical applications. To alleviate the problem, this paper proposes a multiview deep learning method for brain functional connectivity classification. Firstly, the proposed method adopts multiple brain atlases to identify brain regions and thereby builds different brain functional connectivity of different views. Secondly, it uses a multiview feature selection strategy to select out the most discriminative features of each view with the assistance of other views. Then, it trains a stacked autoencoder to extract deep features of the brain functional connectivity of each view. At last, it utilizes a multiview fusion strategy to take full advantage of complementary information of different views for brain functional connectivity classification. The proposed method has been compared with several deep learning-based brain functional connectivity classification methods on three public datasets of neuropsychiatric disorders. The experimental results have validated the superior performance of the proposed method.

Iron-montmorillonite treated corn straw biochar: Interfacial chemical behavior and stability.

In this study, corn straw biomass was co-pyrolyzed with a clay mineral (montmorillonite) in the presence of iron-bearing materials (FeCl3, magnetite and iron acetylacetone) and the prepared iron-montmorillonite biochars were characterized for their interfacial behavior. The results showed that, by adding iron to the pyrolysis process, organometallic complexes such as Fe-O-C were generated on the surface of biochars. All the iron-montmorillonite biochars were also shown to enhance the oxidation resistance likely by the increased relative contents of CO and COOH from 0% and 3.7% to 6.5-8.4% and 5.5-6.3%, respectively, compared with the iron-absent biochar. The measured carbon recalcitrance index (R50, bicohar) of iron-montmorillonite biochars in thermogravimetric analysis (TGA) also increased from 46.9% to 48.6-56.9%. Among the three types of added iron materials, magnetite showed the best performance in improving biochar stability. The study indicated that, when added together, montmorillonite and iron were effective in improving the stability of biochar, which displays an important environmental significance of carbon sequestration.