Comparative transcriptomics provides a strategy for phylogenetic analysis and SSR marker development in Chaenomeles.
Ontology highlight
ABSTRACT:
SUBMITTER: Shao W
PROVIDER: S-EPMC8361139 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:High potential of Morus laevigata and Morus serrata has been proposed in the breeding programs for Morus sp. However, due to the lack of dense molecular markers this goal is still in its nascent stage and not yet realized. We thus, sequenced the transcriptomes of these two wild Morus species and utilized the data for marker development.We generated 87.0 and 80.3 Mb of transcriptome data from M. laevigata and M. serrata, respectively. The transcriptomes from M. laevigata and M. serrata, were assembled into 95,181 and 85,269 transcripts, respectively, and annotated. We identified around 24,049 Simple Sequence Repeats (SSRs), 1,201,326 Single Nucleotide Polymorphisms (SNPs) and 67,875 Insertion-Deletions (InDels). The variants having a higher impact were also identified and their effect was further investigated.The transcriptome resource from the wildly growing mulberry species developed in this study can find wide applicability in gene identification and/or characterization. It can also contribute immensely in the existing mulberry improvement programs.
| S-EPMC4743097 | biostudies-literature
Project description:BackgroundElymus L. is the largest genus in the tribe Triticeae Dumort., encompassing approximately 150 polyploid perennial species widely distributed in the temperate regions of the world. It is considered to be an important gene pool for improving cereal crops. However, a shortage of molecular marker limits the efficiency and accuracy of genetic breeding for Elymus species. High-throughput transcriptome sequencing data is essential for gene discovery and molecular marker development.ResultsWe obtained the transcriptome dataset of E. sibiricus, the type species of the genus Elymus, and identified a total of 8871 putative EST-SSRs from 6685 unigenes. Trinucleotides were the dominant repeat motif (4760, 53.66%), followed by dinucleotides (1993, 22.47%) and mononucleotides (1876, 21.15%). The most dominant trinucleotide repeat motif was CCG/CGG (1119, 23.5%). Sequencing of PCR products showed that the sequenced alleles from different Elymus species were homologous to the original SSR locus from which the primer was designed. Different types of tri-repeats as abundant SSR motifs were observed in repeat regions. Two hundred EST-SSR primer pairs were designed and selected to amplify ten DNA samples of Elymus species. Eighty-seven pairs of primer (43.5%) generated clear and reproducible bands with expected size, and showed good transferability across different Elymus species. Finally, thirty primer pairs successfully amplified ninety-five accessions of seventeen Elymus species, and detected significant amounts of polymorphism. In general, hexaploid Elymus species with genomes StStHHYY had a relatively higher level of genetic diversity (H = 0.219, I = 0.330, %P = 63.7), while tetraploid Elymus species with genomes StStYY had low level of genetic diversity (H = 0.182, I = 0.272, %P = 50.4) in the study. The cluster analysis showed that all ninety-five accessions were clustered into three major clusters. The accessions were grouped mainly according to their genomic components and origins.ConclusionsThis study demonstrated that transcriptome sequencing is a fast and cost-effective approach to molecular marker development. These EST-SSR markers developed in this study are valuable tools for genetic diversity, evolutionary, and molecular breeding in E. sibiricus, and other Elymus species.
| S-EPMC6547490 | biostudies-literature
Project description:Alternative splicing (AS) plays important roles in gene expression and proteome diversity. Single nucleotide polymorphism (SNP) and insertion/deletion (InDel) are abundant polymorphisms and co-dominant inheritance markers, which have been widely used in germplasm identification, genetic mapping and marker-assisted selection in plants. So far, however, little information is available on utilization of AS events and development of SNP and InDel markers from transcriptome in radish.In this study, three radish transcriptome datasets were collected and aligned to the reference radish genome. A total of 56,530 AS events were identified from three radish genotypes with intron retention (IR) being the most frequent AS type, which accounted for 59.4% of the total expressed genes in radish. In all, 22,412 SNPs and 9436 InDels were identified with an average frequency of 1 SNP/17.9 kb and 1 InDel/42.5 kb, respectively. A total of 43,680 potential SSRs were identified in 31,604 assembled unigenes with a density of 1 SSR/2.5 kb. The ratio of SNPs with nonsynonymous/synonymous mutations was 1.05:1. Moreover, 35 SNPs and 200 InDels were randomly selected and validated by Sanger sequencing, 83.9% of the SNPs and 70% of the InDels exhibited polymorphism among these three genotypes. In addition, the 15 SNPs and 125 InDels were found to be unevenly distributed on 9 linkage groups. Furthermore, 40 informative InDel markers were successfully used for the genetic diversity analysis on 32 radish accessions.These results would not only provide new insights into transcriptome complexity and AS regulation, but also furnish large amount of molecular marker resources for germplasm identification, genetic mapping and further genetic improvement of radish in breeding programs.
| S-EPMC5496183 | biostudies-literature
Project description:Clerodendrum trichotomum, a member of the Lamiaceae (Verbenaceae) family, is an ornamental plant widely distributed in South Asia. Previous studies have focused primarily on its growth characteristics, stress resistance, and pharmacological applications; however, molecular investigations remain limited. Considering germplasm conservation and the extensive applications of this plant, it is necessary to explore transcriptome resources and SSR makers for C. trichotomum. In the present study, RNA sequencing was used to determine the transcriptome of C. trichotomum. Subsequently, unigene annotations and classifications were obtained, and SSRs were mined with MIcroSAtellite. Finally, primer pairs designed with Oligo 6.0 were selected for polymorphism validation. In total, 127,325,666 high-quality reads were obtained, and 58,345 non-redundant unigenes were generated, of which 36,900 (63.24%) were annotated. Among the annotated unigenes, 35,980 (97.51%) had significant similarity to 607 species in Nr databases. In addition, a total of 6,444 SSRs were identified in 5,530 unigenes, and 200 random primer pairs were designed for polymorphism validation. Furthermore, after primary polymorphism identification, 30 polymorphic primer pairs were selected for the further polymorphism screening, and 200 alleles were identified, 197 of which showed polymorphism. In this work, a large number of unigenes were generated, and numerous SSRs were detected. These findings should be beneficial for further investigations into germplasm conservation and various applications of C. trichotomum. These results should also provide a solid foundation for future molecular biology studies in C. trichotomum.
| S-EPMC6867647 | biostudies-literature
Project description:Aster spathulifolius Maxim. is belongs to the Asteraceae family, which is distributed only in Korea and Japan. The species is traditionally a medicinal plant and is economically valuable in the ornamental field. On the other hand, the Aster genus, among the Asteraceae family, lacks genomic resources and its molecular functions. Therefore, in our study the high-throughput RNA-sequencing transcriptome data of A. spathulifolius were obtained to identify the molecular functions and its characterization. The de novo assembly produced 98660 uniqueness with an N50 value of 1126bp. Total unigenes were procure to analyze the functional annotation against databases like non-redundant protein, Pfam, Uniprot, KEGG and Gene ontology. The overall percentage of functional annotation to the nr database (43.71%), uniprotein database (49.97%), Pfam (39.94%), KEGG (42.3%) and to GO (30.34%) were observed. Besides, 377 unigenes were found to be involved in the terpenoids pathway and 666 unigenes were actively engaged in other secondary metabolites synthesis, given that 261 unigenes were within phenylpropanoid pathway and 81 unigenes to flavonoid pathway. A further prediction of stress resistance (9,513) unigenes and transcriptional factor (3,027) unigenes in 53 types were vastly regulated in abiotic stress respectively in salt, heat, MAPK and hormone signal transduction pathway. This study discovered 29,692 SSR markers that assist the genotyping approaches and the genetic diversity perspectives. In addition, eight Asteraceae species as in-group together with one out-group were used to construct the phylogenetic relationship by employing their plastid genome and single-copy orthologs genes. Among 50 plastid protein-coding regions, A. spathulifolius is been closely related to A. annua and by 118 single copy orthologs genes, O. taihangensis is more neighboring species to A. spathulifolius. Apart from this, A. spathulifolius and O. taihangensis, genera have recently diverged from other species. Overall, this research gains new insights into transcriptome data by revealing and exposing the secondary metabolite compounds for drug development, the stress-related genes for producing resilient crops and an ortholog gene of A. spathulifolius for the robustness of phylogeny reconstruction among Asteraceae genera.
| S-EPMC7757906 | biostudies-literature
Project description:Development of genetic markers from whole-genome shotgun sequences of Balsamocarpon brevifolium
| PRJEB15155 | ENA
Project description:Cowpea [Vigna unguiculata (L.) Walp.] is one of the most important legumes in tropical and semi-arid regions. However, there is relatively little genomic information available for genetic research on and breeding of cowpea. The objectives of this study were to analyse the cowpea transcriptome and develop genic molecular markers for future genetic studies of this genus.Approximately 54 million high-quality cDNA sequence reads were obtained from cowpea based on Illumina paired-end sequencing technology and were de novo assembled to generate 47,899 unigenes with an N50 length of 1534 bp. Sequence similarity analysis revealed 36,289 unigenes (75.8%) with significant similarity to known proteins in the non-redundant (Nr) protein database, 23,471 unigenes (49.0%) with BLAST hits in the Swiss-Prot database, and 20,654 unigenes (43.1%) with high similarity in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Further analysis identified 5560 simple sequence repeats (SSRs) as potential genic molecular markers. Validating a random set of 500 SSR markers yielded 54 polymorphic markers among 32 cowpea accessions.This transcriptomic analysis of cowpea provided a valuable set of genomic data for characterizing genes with important agronomic traits in Vigna unguiculata and a new set of genic SSR markers for further genetic studies and breeding in cowpea and related Vigna species.
| S-EPMC5504845 | biostudies-literature
Project description:BACKGROUND:Chrysanthemum indicum L., an important ancestral species of the flowering plant chrysanthemum, can be used as medicine and for functional food development. Due to the lack of hereditary information for this species and the difficulty of germplasm identification, we herein provide new genetic insight from the perspective of intraspecific transcriptome comparison and present single sequence repeat (SSR) molecular marker recognition technology. RESULTS:Through the study of a diploid germplasm (DIWNT) and a tetraploid germplasm (DIWT), the following outcome were obtained. (1) A significant difference in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations for specific homologous genes was observed using the OrthoMCL method for the identification of homologous gene families between the two cytotypes. Ka/Ks analysis of common, single-copy homologous family members also revealed a greater difference among genes that experienced positive selection than among those experiencing positive selection. (2) Of more practical value, 2575 SSR markers were predicted and partly verified. We used TaxonGap as a visual tool to inspect genotype uniqueness and screen for high-performance molecular loci; we recommend four primers of 65 randomly selected primers with a combined identification success rate of 88.6% as priorities for further development of DNA fingerprinting of C. indicum germplasm. CONCLUSIONS:The SSR technology based on next-generation sequencing was proved to be successful in the identification of C. indicum germplasms. And the information on the intraspecfic genetic divergence generated by transcriptome comparison deepened the understanding of this complex species' nature.
| S-EPMC5918905 | biostudies-literature
Project description:BACKGROUND: Modern sequencing technologies have massively increased the amount of data available for comparative genomics. Whole-transcriptome shotgun sequencing (RNA-seq) provides a powerful basis for comparative studies. In particular, this approach holds great promise for emerging model species in fields such as evolutionary developmental biology (evo-devo). RESULTS: We have sequenced early embryonic transcriptomes of two non-drosophilid dipteran species: the moth midge Clogmia albipunctata, and the scuttle fly Megaselia abdita. Our analysis includes a third, published, transcriptome for the hoverfly Episyrphus balteatus. These emerging models for comparative developmental studies close an important phylogenetic gap between Drosophila melanogaster and other insect model systems. In this paper, we provide a comparative analysis of early embryonic transcriptomes across species, and use our data for a phylogenomic re-evaluation of dipteran phylogenetic relationships. CONCLUSIONS: We show how comparative transcriptomics can be used to create useful resources for evo-devo, and to investigate phylogenetic relationships. Our results demonstrate that de novo assembly of short (Illumina) reads yields high-quality, high-coverage transcriptomic data sets. We use these data to investigate deep dipteran phylogenetic relationships. Our results, based on a concatenation of 160 orthologous genes, provide support for the traditional view of Clogmia being the sister group of Brachycera (Megaselia, Episyrphus, Drosophila), rather than that of Culicomorpha (which includes mosquitoes and blackflies).
| S-EPMC3616871 | biostudies-literature
Project description:BackgroundSimple sequence repeats (SSRs) have become widely used as molecular markers in plant genetic studies due to their abundance, high allelic variation at each locus and simplicity to analyze using conventional PCR amplification. To study plants with unknown genome sequence, SSR markers from Expressed Sequence Tags (ESTs), which can be obtained from the plant mRNA (converted to cDNA), must be utilized. With the advent of high-throughput sequencing technology, huge EST sequence data have been generated and are now accessible from many public databases. However, SSR marker identification from a large in-house or public EST collection requires a computational pipeline that makes use of several standard bioinformatic tools to design high quality EST-SSR primers. Some of these computational tools are not users friendly and must be tightly integrated with reference genomic databases.ResultsA web-based bioinformatic pipeline, called EST Analysis Pipeline Plus (ESAP Plus), was constructed for assisting researchers to develop SSR markers from a large EST collection. ESAP Plus incorporates several bioinformatic scripts and some useful standard software tools necessary for the four main procedures of EST-SSR marker development, namely 1) pre-processing, 2) clustering and assembly, 3) SSR mining and 4) SSR primer design. The proposed pipeline also provides two alternative steps for reducing EST redundancy and identifying SSR loci. Using public sugarcane ESTs, ESAP Plus automatically executed the aforementioned computational pipeline via a simple web user interface, which was implemented using standard PHP, HTML, CSS and Java scripts. With ESAP Plus, users can upload raw EST data and choose various filtering options and parameters to analyze each of the four main procedures through this web interface. All input EST data and their predicted SSR results will be stored in the ESAP Plus MySQL database. Users will be notified via e-mail when the automatic process is completed and they can download all the results through the web interface.ConclusionsESAP Plus is a comprehensive and convenient web-based bioinformatic tool for SSR marker development. ESAP Plus offers all necessary EST-SSR development processes with various adjustable options that users can easily use to identify SSR markers from a large EST collection. With familiar web interface, users can upload the raw EST using the data submission page and visualize/download the corresponding EST-SSR information from within ESAP Plus. ESAP Plus can handle considerably large EST datasets. This EST-SSR discovery tool can be accessed directly from: http://gbp.kku.ac.th/esap_plus/ .
| S-EPMC5260030 | biostudies-literature