An update of KAIKObase, the silkworm genome database.

KAIKObase was established in 2009 as the genome database of the domesticated silkworm Bombyx mori. It provides several gene sets and genetic maps as well as genome annotation obtained from the sequencing project of the International Silkworm Genome Consortium in 2008. KAIKObase has been used widely for silkworm and insect studies even though there are some erroneous predicted genes due to misassembly and gaps in the genome. In 2019, we released a new silkworm genome assembly, showing improvements in gap closure and covering more and longer gene models. Therefore, there is a need to include new genome and new gene models to KAIKObase. In this article, we present the updated contents of KAIKObase and the methods to generate, integrate and analyze the data sets. Database URL: https://kaikobase.dna.affrc.go.jp.

Genome-wide SNP marker discovery and phylogenetic analysis of mulberry varieties using double-digest restriction site-associated DNA sequencing.

There has been long taxonomic debate on mulberry species (genus Morus) because the classification of mulberry species has relied on morphological characteristics. Although attempts for classifying mulberry species using molecular markers have been performed, phylogenetic relationships among diploid mulberry species remain unclear. In this study, we aim to investigate the genetic relationship between 54 diploid mulberry varieties belonging to seven different Morus species (M. alba, M. indica, M. bombycis, M. acidosa, M. latifolia, M. kagayamae, and M. rotundiloba) and one unspecified Morus species ('Enbu') using genome-wide SNP discovery and phylogenetic analysis via double-digest restriction site-associated DNA sequencing (ddRAD-seq). Genome-wide 2229 homozygous SNPs of 54 mulberry varieties in the eight species were identified by ddRAD-seq. Results of the phylogenetic analysis identified only three clear monophyletic clades in two Japanese native species, M. acidosa and M. kagayamae, which are found on different geographically isolated islands and a Thai species, M. rotundiloba, whereas the other species were non-monophyletic. Varieties of M. bombycis, another Japanese native species, were roughly classified into three groups. Of these, two M. bombycis groups were monophyletic with M. acidosa and M. kagayamae, respectively, while another M. bombycis group was not monophyletic. Varieties of M. indica, an Indian native species, were classified into two different monophyletic clades. Of these, one clade was clearly monophyletic with an indigenous variety in Kenya, 'Enbu', while another clade was monophyletic with M. rotundiloba and one M. latifolia variety. There were no clear monophyletic clades within M. alba and M. latifolia varieties, which could be a result of several hybridization events after their introductions from China to Japan. Our results suggested that it was difficult to clearly classify the hybridized mulberry varieties even with genome-wide DNA markers. In addition to phylogenetic analysis, we also evaluated morphological characteristics of mulberry leaves for each variety. The results of morphological evaluation indicated that leaf tip ratio may correlate to genetic difference among the two M. bombycis groups in monophyletic clades and another M. bombycis group in non-monophyletic clades. These results suggested that leaf tip ratio might be used for evaluating hybridization of M. bombycis varieties. Over all, our results may provide new insights into taxonomic debate of mulberry species.

Generalist species drive microbial dispersion and evolution.

Microbes form fundamental bases of every Earth ecosystem. As their key survival strategies, some microbes adapt to broad ranges of environments, while others specialize to certain habitats. While ecological roles and properties of such "generalists" and "specialists" had been examined in individual ecosystems, general principles that govern their distribution patterns and evolutionary processes have not been characterized. Here, we thoroughly identified microbial generalists and specialists across 61 environments via meta-analysis of community sequencing data sets and reconstructed their evolutionary histories across diverse microbial groups. This revealed that generalist lineages possess 19-fold higher speciation rates and significant persistence advantage over specialists. Yet, we also detected three-fold more frequent generalist-to-specialist transformations than the reverse transformations. These results support a model of microbial evolution in which generalists play key roles in introducing new species and maintaining taxonomic diversity.

Metagenomics and Bioinformatics in Microbial Ecology: Current Status and Beyond.

Metagenomic approaches are now commonly used in microbial ecology to study microbial communities in more detail, including many strains that cannot be cultivated in the laboratory. Bioinformatic analyses make it possible to mine huge metagenomic datasets and discover general patterns that govern microbial ecosystems. However, the findings of typical metagenomic and bioinformatic analyses still do not completely describe the ecology and evolution of microbes in their environments. Most analyses still depend on straightforward sequence similarity searches against reference databases. We herein review the current state of metagenomics and bioinformatics in microbial ecology and discuss future directions for the field. New techniques will allow us to go beyond routine analyses and broaden our knowledge of microbial ecosystems. We need to enrich reference databases, promote platforms that enable meta- or comprehensive analyses of diverse metagenomic datasets, devise methods that utilize long-read sequence information, and develop more powerful bioinformatic methods to analyze data from diverse perspectives.

A Rapid and Accurate Method to Evaluate Helicobacter pylori Infection, Clarithromycin Resistance, and CYP2C19 Genotypes Simultaneously From Gastric Juice.

Because Helicobacter pylori (H pylori) would cause carcinogenesis of the stomach, we need sufficient information for deciding on an appropriate strategy of eradication. Many factors affect the efficacy of eradication including antimicrobial resistance (especially clarithromycin resistance) and CYP2C19 polymorphism. This study was to survey the efficiency of gastric juice for detecting H pylori infection, clarithromycin resistance, and CYP2C19 polymorphism.The specimens of gastric juice were collected from all patients while receiving gastroscopy. DNA was extracted from gastric juice and then urease A and cag A were amplified by polymerase chain reaction (PCR) for detecting the existence of H pylori. By PCR-restriction fragment length polymorphism (PCR-RFLP), the 23S rRNA of H pylori and CYP2C19 genotypes of host were examined respectively. During endoscopy examination, biopsy-based specimens were also collected for rapid urease test, culture, and histology. The blood samples were also collected for analysis of CYP2C19 genotypes. We compared the results of gastric juice tests with the results of traditional clinical tests.When compared with the results from traditional clinical tests, our results from gastric juice showed that the sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and accuracy to detect H pylori infection were 92.1% (105/114), 92.9% (143/154), 90.5% (105/116), 94.1% (143/152), and 92.5% (248/268), respectively. The SEN, SPE, PPV, and NPV to detect clarithromycin resistance were 97.3% (36/37), 91.5% (43/47), 90.0% (36/40), and 97.7% (43/44), respectively. By using PCR-RFLP, the consistency of human CYP2C19 gene polymorphism from blood samples and gastric juice was as high as 94.9% (149/157).The manipulated gastric juice is actually an effective diagnostic sample for evaluation of H pylori existence, clarithromycin resistance, and host CYP2C19 polymorphism.

MetaMetaDB: a database and analytic system for investigating microbial habitability.

MetaMetaDB (http://mmdb.aori.u-tokyo.ac.jp/) is a database and analytic system for investigating microbial habitability, i.e., how a prokaryotic group can inhabit different environments. The interaction between prokaryotes and the environment is a key issue in microbiology because distinct prokaryotic communities maintain distinct ecosystems. Because 16S ribosomal RNA (rRNA) sequences play pivotal roles in identifying prokaryotic species, a system that comprehensively links diverse environments to 16S rRNA sequences of the inhabitant prokaryotes is necessary for the systematic understanding of the microbial habitability. However, existing databases are biased to culturable prokaryotes and exhibit limitations in the comprehensiveness of the data because most prokaryotes are unculturable. Recently, metagenomic and 16S rRNA amplicon sequencing approaches have generated abundant 16S rRNA sequence data that encompass unculturable prokaryotes across diverse environments; however, these data are usually buried in large databases and are difficult to access. In this study, we developed MetaMetaDB (Meta-Metagenomic DataBase), which comprehensively and compactly covers 16S rRNA sequences retrieved from public datasets. Using MetaMetaDB, users can quickly generate hypotheses regarding the types of environments a prokaryotic group may be adapted to. We anticipate that MetaMetaDB will improve our understanding of the diversity and evolution of prokaryotes.

Rice Annotation Project Database (RAP-DB): an integrative and interactive database for rice genomics.

The Rice Annotation Project Database (RAP-DB, http://rapdb.dna.affrc.go.jp/) has been providing a comprehensive set of gene annotations for the genome sequence of rice, Oryza sativa (japonica group) cv. Nipponbare. Since the first release in 2005, RAP-DB has been updated several times along with the genome assembly updates. Here, we present our newest RAP-DB based on the latest genome assembly, Os-Nipponbare-Reference-IRGSP-1.0 (IRGSP-1.0), which was released in 2011. We detected 37,869 loci by mapping transcript and protein sequences of 150 monocot species. To provide plant researchers with highly reliable and up to date rice gene annotations, we have been incorporating literature-based manually curated data, and 1,626 loci currently incorporate literature-based annotation data, including commonly used gene names or gene symbols. Transcriptional activities are shown at the nucleotide level by mapping RNA-Seq reads derived from 27 samples. We also mapped the Illumina reads of a Japanese leading japonica cultivar, Koshihikari, and a Chinese indica cultivar, Guangluai-4, to the genome and show alignments together with the single nucleotide polymorphisms (SNPs) and gene functional annotations through a newly developed browser, Short-Read Assembly Browser (S-RAB). We have developed two satellite databases, Plant Gene Family Database (PGFD) and Integrative Database of Cereal Gene Phylogeny (IDCGP), which display gene family and homologous gene relationships among diverse plant species. RAP-DB and the satellite databases offer simple and user-friendly web interfaces, enabling plant and genome researchers to access the data easily and facilitating a broad range of plant research topics.

Independent domestication of Asian rice followed by gene flow from japonica to indica.

Results from studies on the domestication process of Asian rice Oryza sativa have been controversial because of its complicated evolutionary history. Previous studies have yielded two alternative hypotheses about the origin(s) of the two major groups of O. sativa: japonica and indica. One study proposes a single common wild ancestor, whereas the other suggests that there were multiple domestication events of different types of wild rice. Here, we provide clear evidence of the independent domestication of japonica and indica obtained via high-throughput sequencing and a large-scale comparative analysis of two wild rice accessions (W1943 and W0106) and two cultivars (a japonica cultivar called "Nipponbare" and an indica cultivar called "Guangluai-4"). The different domestication processes of the two cultivar groups appear to have led to distinct patterns of molecular evolution in protein-coding regions. The intensity of purifying selection was relaxed only in the japonica group, possibly because of a bottleneck effect. Moreover, a genome-wide comparison between Nipponbare, Guangluai-4, and another indica cultivar (93-11) suggests multiple hybridization events between japonica and indica, both before and after the divergence of the indica cultivars. We found that a large amount of genomic DNA, including domestication-related genes, was transferred from japonica to indica, which might have been important in the development of modern rice. Our study provides an overview of the dynamic process of Asian rice domestication, including independent domestication events and subsequent gene flow.

Gene tree discordance of wild and cultivated Asian rice deciphered by genome-wide sequence comparison.

Although a large number of genes are expected to correctly solve a phylogenetic relationship, inconsistent gene tree topologies have been observed. This conflicting evidence in gene tree topologies, known as gene tree discordance, becomes increasingly important as advanced sequencing technologies produce an enormous amount of sequence information for phylogenomic studies among closely related species. Here, we aim to characterize the gene tree discordance of the Asian cultivated rice Oryza sativa and its progenitor, O. rufipogon, which will be an ideal case study of gene tree discordance. Using genome and cDNA sequences of O. sativa and O. rufipogon, we have conducted the first in-depth analyses of gene tree discordance in Asian rice. Our comparison of full-length cDNA sequences of O. rufipogon with the genome sequences of the japonica and indica cultivars of O. sativa revealed that 60% of the gene trees showed a topology consistent with the expected one, whereas the remaining genes supported significantly different topologies. Moreover, the proportions of the topologies deviated significantly from expectation, suggesting at least one hybridization event between the two subgroups of O. sativa, japonica and indica. In fact, a genome-wide alignment between japonica and indica indicated that significant portions of the indica genome are derived from japonica. In addition, literature concerning the pedigree of the indica cultivar strongly supported the hybridization hypothesis. Our molecular evolutionary analyses deciphered complicated evolutionary processes in closely related species. They also demonstrated the importance of gene tree discordance in the era of high-speed DNA sequencing.

Genome-wide validation of Magnaporthe grisea gene structures based on transcription evidence.

Accurate cDNA data is useful to validate gene structures in a genome. We sequenced 35189 expressed sequence tags (ESTs) obtained from the highly destructive rice blast fungus, Magnaporthe grisea. Our custom-made computational programs mapped these ESTs on the M. grisea genome sequence, and reconstructed gene structures as well as protein-coding regions. As a result, we predicted 4480 protein-coding sequences, which were more accurate than ab initio predictions. Moreover, cross-species comparisons suggested that our predicted proteins were nearly complete. The cDNA clones obtained in this study will be important for further experimental studies. Our genome annotation is available at http://www.mg.dna.affrc.go.jp/.