Global transcriptome analysis of Sabina chinensis (Cupressaceae), a valuable reforestation conifer. Hu, X., Liu, H., Zhang, J., Sun, Y., Jin, Y., Zhao, W., El-Kassaby, Y. A., Wang, X., & Mao, J. Molecular Breeding, 36(7):99, July, 2016. Paper doi abstract bibtex Sabina chinensis has broad distribution in China and is widely used in the reforestation and as an urban tree. The species is frost resistant and grows well on contaminated soils and is becoming valuable for soil remediation and protection against air pollution. Breeding programs aimed at exploiting the species’ unique properties were handicapped by the lack of basic genetic information. Here, we established a transcriptomic profiling study from five different tissues using RNA-Seq to gain insight on the functional genes and the development of molecular markers for breeding and conservation purposes. In total 90,382,108 high-quality sequence reads (~9.0 bp) were obtained, and 116,814 unigenes (≥200 nt) were assembled. Of which, 45,026 and 15,589 unigenes were mapped to the Nr and KOG databases, 31,288 (26.78 %) and 17,596 (15.06 %) were annotated to GO and KEGG database, respectively. Additionally, 28,843 (24.68 %) and 43,033 (36.84 %) S. chinensis unigenes were aligned to the Pinus taeda draft genome and PLAZA2.5 database, respectively. A total of 4570 simple sequence repeat (SSR) motifs were identified in the unigenes. Furthermore, we obtained 6 (12.5 %) polymorphic and 21 (43.75 %) monomorphic loci in the verification of 48 randomly selected SSR loci. This study represents the first transcriptome data of S. chinensis and confirms that the transcriptome assembly data of S. chinensis are a useful resource for EST-SSR loci development. The substantial number of transcripts obtained will aid our understanding of the species adaptation mechanisms and provide valuable genomic information for conservation and breeding applications.
@article{hu_global_2016,
title = {Global transcriptome analysis of {Sabina} chinensis ({Cupressaceae}), a valuable reforestation conifer},
volume = {36},
issn = {1572-9788},
url = {https://doi.org/10.1007/s11032-016-0526-3},
doi = {10.1007/s11032-016-0526-3},
abstract = {Sabina chinensis has broad distribution in China and is widely used in the reforestation and as an urban tree. The species is frost resistant and grows well on contaminated soils and is becoming valuable for soil remediation and protection against air pollution. Breeding programs aimed at exploiting the species’ unique properties were handicapped by the lack of basic genetic information. Here, we established a transcriptomic profiling study from five different tissues using RNA-Seq to gain insight on the functional genes and the development of molecular markers for breeding and conservation purposes. In total 90,382,108 high-quality sequence reads ({\textasciitilde}9.0 bp) were obtained, and 116,814 unigenes (≥200 nt) were assembled. Of which, 45,026 and 15,589 unigenes were mapped to the Nr and KOG databases, 31,288 (26.78 \%) and 17,596 (15.06 \%) were annotated to GO and KEGG database, respectively. Additionally, 28,843 (24.68 \%) and 43,033 (36.84 \%) S. chinensis unigenes were aligned to the Pinus taeda draft genome and PLAZA2.5 database, respectively. A total of 4570 simple sequence repeat (SSR) motifs were identified in the unigenes. Furthermore, we obtained 6 (12.5 \%) polymorphic and 21 (43.75 \%) monomorphic loci in the verification of 48 randomly selected SSR loci. This study represents the first transcriptome data of S. chinensis and confirms that the transcriptome assembly data of S. chinensis are a useful resource for EST-SSR loci development. The substantial number of transcripts obtained will aid our understanding of the species adaptation mechanisms and provide valuable genomic information for conservation and breeding applications.},
language = {en},
number = {7},
urldate = {2023-04-27},
journal = {Molecular Breeding},
author = {Hu, Xian-Ge and Liu, Hui and Zhang, Jia-Qing and Sun, Yan-Qiang and Jin, YuQing and Zhao, Wei and El-Kassaby, Yousry A. and Wang, Xiao-Ru and Mao, Jian-Feng},
month = jul,
year = {2016},
keywords = {De novo assembly, EST-SSR, Gene discovery, RNA-Seq, Sabina chinensis},
pages = {99},
}
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Here, we established a transcriptomic profiling study from five different tissues using RNA-Seq to gain insight on the functional genes and the development of molecular markers for breeding and conservation purposes. In total 90,382,108 high-quality sequence reads (~9.0 bp) were obtained, and 116,814 unigenes (≥200 nt) were assembled. Of which, 45,026 and 15,589 unigenes were mapped to the Nr and KOG databases, 31,288 (26.78 %) and 17,596 (15.06 %) were annotated to GO and KEGG database, respectively. Additionally, 28,843 (24.68 %) and 43,033 (36.84 %) S. chinensis unigenes were aligned to the Pinus taeda draft genome and PLAZA2.5 database, respectively. A total of 4570 simple sequence repeat (SSR) motifs were identified in the unigenes. Furthermore, we obtained 6 (12.5 %) polymorphic and 21 (43.75 %) monomorphic loci in the verification of 48 randomly selected SSR loci. This study represents the first transcriptome data of S. chinensis and confirms that the transcriptome assembly data of S. chinensis are a useful resource for EST-SSR loci development. The substantial number of transcripts obtained will aid our understanding of the species adaptation mechanisms and provide valuable genomic information for conservation and breeding applications.","language":"en","number":"7","urldate":"2023-04-27","journal":"Molecular Breeding","author":[{"propositions":[],"lastnames":["Hu"],"firstnames":["Xian-Ge"],"suffixes":[]},{"propositions":[],"lastnames":["Liu"],"firstnames":["Hui"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Jia-Qing"],"suffixes":[]},{"propositions":[],"lastnames":["Sun"],"firstnames":["Yan-Qiang"],"suffixes":[]},{"propositions":[],"lastnames":["Jin"],"firstnames":["YuQing"],"suffixes":[]},{"propositions":[],"lastnames":["Zhao"],"firstnames":["Wei"],"suffixes":[]},{"propositions":[],"lastnames":["El-Kassaby"],"firstnames":["Yousry","A."],"suffixes":[]},{"propositions":[],"lastnames":["Wang"],"firstnames":["Xiao-Ru"],"suffixes":[]},{"propositions":[],"lastnames":["Mao"],"firstnames":["Jian-Feng"],"suffixes":[]}],"month":"July","year":"2016","keywords":"De novo assembly, EST-SSR, Gene discovery, RNA-Seq, Sabina chinensis","pages":"99","bibtex":"@article{hu_global_2016,\n\ttitle = {Global transcriptome analysis of {Sabina} chinensis ({Cupressaceae}), a valuable reforestation conifer},\n\tvolume = {36},\n\tissn = {1572-9788},\n\turl = {https://doi.org/10.1007/s11032-016-0526-3},\n\tdoi = {10.1007/s11032-016-0526-3},\n\tabstract = {Sabina chinensis has broad distribution in China and is widely used in the reforestation and as an urban tree. The species is frost resistant and grows well on contaminated soils and is becoming valuable for soil remediation and protection against air pollution. Breeding programs aimed at exploiting the species’ unique properties were handicapped by the lack of basic genetic information. Here, we established a transcriptomic profiling study from five different tissues using RNA-Seq to gain insight on the functional genes and the development of molecular markers for breeding and conservation purposes. In total 90,382,108 high-quality sequence reads ({\\textasciitilde}9.0 bp) were obtained, and 116,814 unigenes (≥200 nt) were assembled. Of which, 45,026 and 15,589 unigenes were mapped to the Nr and KOG databases, 31,288 (26.78 \\%) and 17,596 (15.06 \\%) were annotated to GO and KEGG database, respectively. Additionally, 28,843 (24.68 \\%) and 43,033 (36.84 \\%) S. chinensis unigenes were aligned to the Pinus taeda draft genome and PLAZA2.5 database, respectively. A total of 4570 simple sequence repeat (SSR) motifs were identified in the unigenes. Furthermore, we obtained 6 (12.5 \\%) polymorphic and 21 (43.75 \\%) monomorphic loci in the verification of 48 randomly selected SSR loci. This study represents the first transcriptome data of S. chinensis and confirms that the transcriptome assembly data of S. chinensis are a useful resource for EST-SSR loci development. 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