Chloroplast genomes of plants are highly conserved in both gene order and gene content, are maternally inherited, and have a lower rate of evolution. Chloroplast genomes are considered to be good models for testing lineage-specific molecular evolution. In this study, we use Schisandraceae as an example to generate insights into the overall evolutionary dynamics in chloroplast genomes and to establish the phylogenetic relationship of Schisandraceae based on chloroplast genome data using phylogenomic analysis. By comparing three Schisandraceae chloroplast genomes, we demonstrate that the gene order, gene content, and length of chloroplast genomes in Schisandraceae are highly conserved but experience dynamic evolution among species. The number of repeat variations were detected, and the Schisandraceae chloroplast genome was revealed as unusual in having a 10 kb contraction of the IR due to the genome size variations compared with other angiosperms. Phylogenomic analysis based on 82 protein-coding genes from 66 plant taxa clearly elucidated that Schisandraceae is a sister to a clade that includes magnoliids, monocots, and eudicots within angiosperms. As to genus relationships within Schisandraceae, Kadsura and Schisandra formed a monophyletic clade which was sister to Illicium.

Decaisnea insignis is a wild resource plant and is used as an ornamental, medicinal, and fruit plant. High-throughput sequencing of chloroplast genomes has provided insight into the overall evolutionary dynamics of chloroplast genomes and has enhanced our understanding of the evolutionary relationships within plant families. In the present study, we sequenced the complete chloroplast genome of D. insignis and used the data to assess its genomic resources. The D. insignis chloroplast genome is 158,683 bp in length and includes a pair of inverted repeats of 26,167 bp that are separated by small and large single copy regions of 19,162 bp and 87,187 bp, respectively. We identified 83 simple sequence repeats and 18 pairs of large repeats. Most simple-sequence repeats were located in the noncoding sections of the large single-copy/small single-copy region and exhibited a high A/T content. The D. insignis chloroplast genome bias was skewed towards A/T on the basis of codon usage. A phylogenetic tree based on 82 protein-coding genes of 33 angiosperms showed that D. insignis was clustered with Akebia in Lardizabalaceae. Overall, the results of this study will contribute to better understanding the evolution, molecular biology and genetic improvement of D. insignis.

Species identification of oaks (Quercus) is always a challenge because many species exhibit variable phenotypes that overlap with other species. Oaks are notorious for interspecific hybridization and introgression, and complex speciation patterns involving incomplete lineage sorting. Therefore, accurately identifying Quercus species barcodes has been unsuccessful. In this study, we used chloroplast genome sequence data to identify molecular markers for oak species identification. Using next generation sequencing methods, we sequenced 14 chloroplast genomes of Quercus species in this study and added 10 additional chloroplast genome sequences from GenBank to develop a DNA barcode for oaks. Chloroplast genome sequence divergence was low. We identified four mutation hotspots as candidate Quercus DNA barcodes; two intergenic regions (matK-trnK-rps16 and trnR-atpA) were located in the large single copy region, and two coding regions (ndhF and ycf1b) were located in the small single copy region. The standard plant DNA barcode (rbcL and matK) had lower variability than that of the newly identified markers. Our data provide complete chloroplast genome sequences that improve the phylogenetic resolution and species level discrimination of Quercus. This study demonstrates that the complete chloroplast genome can substantially increase species discriminatory power and resolve phylogenetic relationships in plants.

The papilionoid legume genus Ormosia comprises approximately 130 species, which are distributed mostly in the Neotropics, with some species in eastern Asia and northeastern Australia. The taxonomy and evolutionary history remain unclear due to the lack of a robust species-level phylogeny. Chloroplast genomes can provide important information for phylogenetic and population genetic studies. In this study, we determined the complete chloroplast genome sequences of five Ormosia species by Illumina sequencing. The Ormosia chloroplast genomes displayed the typical quadripartite structure of angiosperms, which consisted of a pair of inverted regions separated by a large single-copy region and a small single-copy region. The location and distribution of repeat sequences and microsatellites were determined. Comparative analyses highlighted a wide spectrum of variation, with trnK-rbcL, atpE-trnS-rps4, trnC-petN, trnS-psbZ-trnG, trnP-psaJ-rpl33, and clpP intron being the most variable regions. Phylogenetic analysis revealed that Ormosia is in the Papilionoideae clade and is sister to the Lupinus clade. Overall, this study, which provides Ormosia chloroplast genomic resources and a comparative analysis of Ormosia chloroplast genomes, will be beneficial for the evolutionary study and phylogenetic reconstruction of the genus Ormosia and molecular barcoding in population genetics and will provide insight into the chloroplast genome evolution of legumes.

LncRNAs have emerged as a novel class of critical regulators of cancer. We aimed to construct a landscape of lncRNAs and their potential target genes in lung adenocarcinoma. Genome-wide expression of lncRNAs and mRNAs was determined using microarray. qRT-PCR was performed to validate the expression of the selected lncRNAs in a cohort of 42 tumor tissues and adjacent normal tissues. R and Bioconductor were used for data analysis. A total of 3045 lncRNAs were differentially expressed between the paired tumor and normal tissues (1048 up and 1997 down). Meanwhile, our data showed that the expression NONHSAT077036 was associated with N classification and clinical stage. Further, we analyzed the potential co-regulatory relationship between the lncRNAs and their potential target genes using the ‘cis’ and ‘trans’ models. In the 25 related transcription factors (TFs), our analysis of The Cancer Genome Atlas database (TCGA) found that patients with lower expression of POU2F2 and higher expression of TRIM28 had a shorter overall survival time. The POU2F2 and TRIM28 co-expressed lncRNA landscape characterized here may shed light into normal biology and lung adenocarcinoma pathogenesis, and be valuable for discovery of biomarkers.