ArticleBMC genomics2016
Comparative transcriptomics and comprehensive marker resource development in mulberry.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genetic and functional characterization of loss of growth superiority of 22-ploid Morus nigra L. (2n = 22x = 308).Molecular biology reports · 2026Article
- Transcriptome Analysis Reveals Genes Associated with Flooding Tolerance in Mulberry Plants.Life (Basel, Switzerland) · 2023Article
- Transcriptome analysis of mulberry (Morus alba L.) leaves to identify differentially expressed genes associated with post-harvest shelf-life elongation.Scientific reports · 2022Article
- Diversity of endophytic bacteria of mulberry (Frontiers in microbiology · 2022Article
- Metabolomics Response to Drought Stress inPlants (Basel, Switzerland) · 2021Article
- Article
- Mulberry (Morus spp.) has the features to treat as a potential perennial model system.Plant signaling & behavior · 2018Review
- Article
- Improvement of abiotic stress adaptive traits in mulberry (Morus spp.): an update on biotechnological interventions.3 Biotech · 2017Review
- Comparative transcriptome profiling of the fertile and sterile flower buds of a dominant genic male sterile line in sesame (Sesamum indicum L.).BMC plant biology · 2016Article
- Genome-wide Identification and Structural, Functional and Evolutionary Analysis of WRKY Components of Mulberry.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh 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.
resultsWe 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.
conclusionsThe 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.
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