Evolution of endogenous non-retroviral genes integrated into plant genomes

AbstractNumerous comparative genome analyses have revealed the wide extent of horizontal gene transfer (HGT) in living organisms, which contributes to their evolution and genetic diversity. Viruses play important roles in HGT. Endogenous viral elements (EVEs) are defined as viral DNA sequences present within the genomes of non-viral organisms. In eukaryotic cells, the majority of EVEs are derived from RNA viruses using reverse transcription. In contrast, endogenous non-retroviral elements (ENREs) are poorly studied. However, the increasing availability of genomic data and the rapid development of bioinformatics tools have enabled the identification of several ENREs in various eukaryotic organisms. To date, a small number of ENREs integrated into plant genomes have been identified. Of the known non-retroviruses, most identified ENREs are derived from double-strand (ds) RNA viruses, followed by single-strand (ss) DNA and ssRNA viruses. At least eight virus families have been identified. Of these, viruses in the family Partitiviridae are dominant, followed by viruses of the families Chrysoviridae and Geminiviridae. The identified ENREs have been primarily identified in eudicots, followed by monocots. In this review, we briefly discuss the current view on non-retroviral sequences integrated into plant genomes that are associated with plant-virus evolution and their possible roles in antiviral resistance

Plasmodesmal receptor-like kinases identified through analysis of rice cell wall extracted proteins

In plants, plasmodesmata (PD) are intercellular channels that function in both metabolite exchange and the transport of proteins and RNAs. Currently, many of the PD structural and regulatory components remain to be elucidated. Receptor-like kinases (RLKs) belonging to a notably expanded protein family in plants compared to the animal kingdom have been shown to play important roles in plant growth, development, pathogen resistance, and cell death. In this study, cell biological approaches were used to identify potential PD-associated RLK proteins among proteins contained within cell walls isolated from rice callus cultured cells. A total of 15 rice RLKs were investigated to determine their subcellular localization, using an Agrobacterium-mediated transient expression system. Of these six PD-associated RLKs were identified based on their co-localization with a viral movement protein that served as a PD marker, plasmolysis experiments, and subcellular localization at points of wall contact between spongy mesophyll cells. These findings suggest potential PD functions in apoplasmic signaling in response to environmental stimuli and developmental inputs

Unveiling Mycoviromes Using Fungal Transcriptomes

Viruses infecting fungi are referred to as mycoviruses. Here, we carried out in silico mycovirome studies using public fungal transcriptomes mostly derived from mRNA libraries. We identified 468 virus-associated contigs assigned to 5 orders, 21 families, 26 genera, and 88 species. We assembled 120 viral genomes with diverse RNA and DNA genomes. The phylogenetic tree and genome organization unveiled the possible host origin of mycovirus species and diversity of their genome structures. Most identified mycoviruses originated from fungi; however, some mycoviruses had strong phylogenetic relationships with those from insects and plants. The viral abundance and mutation frequency of mycoviruses were very low; however, the compositions and populations of mycoviruses were very complex. Although coinfection of diverse mycoviruses in the fungi was common in our study, most mycoviromes had a dominant virus species. The compositions and populations of mycoviruses were more complex than we expected. Viromes of Monilinia species revealed that there were strong deviations in the composition of viruses and viral abundance among samples. Viromes of Gigaspora species showed that the chemical strigolactone might promote virus replication and mutations, while symbiosis with endobacteria might suppress virus replication and mutations. This study revealed the diversity and host distribution of mycoviruses

De novo transcriptome assembly of two different apricot cultivars

Apricot (Prunus armeniaca) belonging to the Prunus species is a popular kind of stone fruit tree. Apricot is native to Armenia and is currently cultivated in many countries with climates adaptable for apricot growth. In general, fresh fruits as well as dried apricot are produced. However, the information associated with genes and genetic markers for apricot is very limited. In this study, we carried out de novo transcriptome assembly for two selected apricot cultivars referred to as Harcot and Ungarische Beste, which are commercially important apricot cultivars in the world, using next generation sequencing. We obtained a total of 9.31 GB and 8.88 GB raw data from Harcot and Ungarische Beste (NCBI accession numbers: SRX1186946 and SRX1186893), respectively. De novo transcriptome assembly using Trinity identified 147,501 and 152,235 transcripts for Harcot and Ungarische Beste, respectively. Next, we identified 113,565 and 126,444 proteins from Harcot and Ungarische Beste using the TransDecoder program. We performed BLASTP against an NCBI non-redundant (nr) dataset to annotate identified proteins. Taken together, we provide transcriptomes of two different apricot cultivars by RNA-Seq

De novo transcriptome assembly of two different Prunus mume cultivars

Prunus mume, belonging to the Prunus genus, is an Asian tree, and its common names are Chinese plum and Japanese plum. P. mume are cultivated for fruit production as well as ornamental purposes. In this study, we conducted de novo transcriptome assembly for two selected P. mume cultivars referred to as Takada and Wallyoung (commercially important cultivars for fruit production and ornamental trees, respectively) by RNA-sequencing. We obtained 9.14 GB and 9.48 GB sequence data from Takada and Wallyoung (NCBI accession numbers: SRX1187101 and SRX1187169), respectively. De novo transcriptome assembly identified 130,989 and 116,941 transcripts for Takada and Wallyoung, respectively. In addition, we identified 96,681 and 91,429 proteins from Takada and Wallyoung, respectively, by TransDecoder program. We performed BLASTP against the NCBI non-redundant (nr) datasets to annotate identified proteins. This study provides transcriptomes and proteomes for two different P. mume cultivars, which might be useful for comparative transcriptome analyses and assist development of genetic markers

De novo transcriptome assembly of two different Prunus salicina cultivars

AbstractPlum is a globally grown stone fruit and can be divided into several species. In particular, the Prunus salicina, which is native to China, is widely grown in many fruit orchards in Korea and Japan, as well as the United States and Australia. The transcriptome data for Prunus salicina has not been reported to our knowledge. In this study, we performed de novo transcriptome assembly for two selected P. salicina cultivars referred to as Akihime and Formosa (commercially important plum cultivars in Korea) using next generation sequencing. We obtained a total of 9.04GB and 8.68GB raw data from Akihime and Formosa, respectively. De novo transcriptome assembly using Trinity revealed 155,169 and 160,186 transcripts for Akihime and Formosa. Next, we identified 121,278 and 116,544 proteins from Akihime and Formosa using TransDecoder. We performed BLASTP against the NCBI non-redundant (nr) dataset to annotate proteins. Taken together, this is the first transcriptome data for P. salicina to our knowledge

De novo transcriptome assembly of two different peach cultivars grown in Korea

Peach (Prunus persica) is one of the most popular stone fruits worldwide. Next generation sequencing (NGS) has facilitated genome and transcriptome analyses of several stone fruit trees. In this study, we conducted de novo transcriptome analyses of two peach cultivars grown in Korea. Leaves of two cultivars, referred to as Jangtaek and Mibaek, were harvested and used for library preparation. The two prepared libraries were paired-end sequenced by the HiSeq2000 system. We obtained 8.14 GB and 9.62 GB sequence data from Jangtaek and Mibaek (NCBI accession numbers: SRS1056585 and SRS1056587), respectively. The Trinity program was used to assemble two transcriptomes de novo, resulting in 110,477 (Jangtaek) and 136,196 (Mibaek) transcripts. TransDecoder identified possible coding regions in assembled transcripts. The identified proteins were subjected to BLASTP search against NCBI's non-redundant database for functional annotation. This study provides transcriptome data for two peach cultivars, which might be useful for genetic marker development and comparative transcriptome analyses

De novo transcriptome assembly of a sour cherry cultivar, Schattenmorelle

Sour cherry (Prunus cerasus) in the genus Prunus in the family Rosaceae is one of the most popular stone fruit trees worldwide. Of known sour cherry cultivars, the Schattenmorelle is a famous old sour cherry with a high amount of fruit production. The Schattenmorelle was selected before 1650 and described in the 1800s. This cultivar was named after gardens of the Chateau de Moreille in which the cultivar was initially found. In order to identify new genes and to develop genetic markers for sour cherry, we performed a transcriptome analysis of a sour cherry. We selected the cultivar Schattenmorelle, which is among commercially important cultivars in Europe and North America. We obtained 2.05 GB raw data from the Schattenmorelle (NCBI accession number: SRX1187170). De novo transcriptome assembly using Trinity identified 61,053 transcripts in which N50 was 611 bp. Next, we identified 25,585 protein coding sequences using TransDecoder. The identified proteins were blasted against NCBI's non-redundant database for annotation. Based on blast search, we taxonomically classified the obtained sequences. As a result, we provide the transcriptome of sour cherry cultivar Schattenmorelle using next generation sequencing

Identification of viruses infecting six plum cultivars in Korea by RNA-sequencing

Background Plums are a kind of stone fruit, a category that includes peaches, cherries, apricots, and almonds. In Korea, Japanese plum trees are usually cultivated as they best suit the climate. To date, there have been few studies in Korea on viruses infecting plum trees compared to those infecting peach trees. Methods To identify viruses and viroids infecting plum trees, we collected leaf samples from six different plum cultivars and subjected them to RNA-sequencing (RNA-seq). Six different plum transcriptomes were de novo assembled using the Trinity assembler followed by BLAST searching against a viral reference database. Results We identified hop stunt viroid (HSVd) and six viruses, including apple chlorotic leaf spot virus (ACLSV), little cherry virus-1 (LChV-1), peach virus D (PeVD), peach leaf pitting-associated virus (PLPaV), plum bark necrosis stem pitting-associated virus (PBNSPaV), and prunus necrotic ringspot virus (PNRSV), from six plum cultivars by RNA-seq. RT-PCR confirmed the infection of HSVd and three viruses—ACLSV, PBNSPaV, and PNRSV—in plum trees. However, RT-PCR demonstrated that plum trees in this study were not infected by LChV-1, PeVD, or PLPaV. It is likely that the three viruses LChV-1, PeVD, and PLPaV as identified by RNA-seq were contaminants from other peach libraries caused by index misassignment, which suggests that careful confirmation by other methods should be carried out in next-generation sequencing (NGS)-based virus identification. Taken together, we identified a viroid and three viruses infecting plum trees in Korea

Simple and robust determination of the activity signatureof key carbohydrate metabolism enzymes for physiologicalphenotyping in model and crop plants

The analysis of physiological parameters is important to understand the link between plant phenotypes and their genetic bases, and therefore is needed as an important element in the analysis of model and crop plants. The activities of enzymes involved in primary carbohydrate metabolism have been shown to be strongly associated with growth performance, crop yield, and quality, as well as stress responses. A simple, fast, and cost-effective method to determine activities for 13 key enzymes involved in carbohydrate metabolism has been established, mainly based on coupled spectrophotometric kinetic assays. The comparison of extraction buffers and requirement for dialysis of crude protein extracts resulted in a universal protein extraction protocol, suitable for the preparation of protein extracts from different organs of various species. Individual published kinetic activity assays were optimized and adapted for a semi-high-throughput 96-well assay format. These assays proved to be robust and are thus suitable for physiological phenotyping, enabling the characterization and diagnosis of the physiological state. The potential of the determination of distinct enzyme activity signatures as part of a physiological fingerprint was shown for various organs and tissues from three monocot and five dicot model and crop species, including two case studies with external stimuli. Differential and specific enzyme activity signatures are apparent during inflorescence development and upon in vitro cold treatment of young inflorescences in the monocot ryegrass, related to conditions for doubled haploid formation. Likewise, treatment of dicot spring oilseed rape with elevated CO2 concentration resulted in distinct patterns of enzyme activity responses in leaves.(VLID)310311