{"title":"Rubia alata Wall 和 Rubia ovatifolia Z. Ying Zhang 的叶绿体基因组序列和系统发育分析。(茜草科)。","authors":"JiaZhou Shi, XiaoYing Chen, YiYao Jing, Yonggang Yan, Gang Zhang, BingYue Yang, Liang Peng","doi":"10.1007/s11033-024-10046-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Rubia alata Wall (R. alata) and Rubia ovatifolia Z. Ying Zhang (R. ovatifolia) are unique medicinal plants native to China. Sequencing their chloroplast genomes is important for understanding species differentiation and establishing phylogenetic relationships.</p><p><strong>Methods and results: </strong>The chloroplast genomes of R. alata and R. ovatifolia were sequenced using the Illumina HiSeq platform. The chloroplast genome of R. alata is 154,973 base pairs (bp) in length, containing a large single-copy region (LSC) of 84,801 bp, a small single-copy region (SSC) of 17,138 bp, and a pair of inverted repeats (IRs) of the same length. The length of the chloroplast genome, LSC, SSC, and IR regions of R. ovatifolia is 26,517 bp, 84,716 bp, 17,116 bp and 26,517 bp, respectively. Codon usag e analysis revealed that R. alata had the highest frequency of Aspartic acid (Asp) (1650 occurrences) in protein-coding sequences (CDS), while R. ovatifolia showed the highest frequency of Tyrosine (Try) (1479 occurrences). Comparative analysis of chloroplast genomes across seven species from the genus Rubia identified the most divergent coding regions, including rps16, psbI-trns-CGA, and petN, while plastid rRNAs were the most conserved. Phylogenetic analysis showed R. alata clustering with R. cordifolia (66.3% support), and R. ovatifolia clustering with Rubia podantha (100% support).</p><p><strong>Conclusions: </strong>These findings enhance our understanding of the chloroplast genome structure in Rubia species and provide molecular information for the future development and utilization of R. alata and R. ovatifolia resources.</p>","PeriodicalId":18755,"journal":{"name":"Molecular Biology Reports","volume":"51 1","pages":"1140"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The chloroplast genome sequence and phylogenetic analysis of Rubia alata Wall and Rubia ovatifolia Z. Ying Zhang. (Rubiaceae).\",\"authors\":\"JiaZhou Shi, XiaoYing Chen, YiYao Jing, Yonggang Yan, Gang Zhang, BingYue Yang, Liang Peng\",\"doi\":\"10.1007/s11033-024-10046-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Rubia alata Wall (R. alata) and Rubia ovatifolia Z. Ying Zhang (R. ovatifolia) are unique medicinal plants native to China. Sequencing their chloroplast genomes is important for understanding species differentiation and establishing phylogenetic relationships.</p><p><strong>Methods and results: </strong>The chloroplast genomes of R. alata and R. ovatifolia were sequenced using the Illumina HiSeq platform. The chloroplast genome of R. alata is 154,973 base pairs (bp) in length, containing a large single-copy region (LSC) of 84,801 bp, a small single-copy region (SSC) of 17,138 bp, and a pair of inverted repeats (IRs) of the same length. The length of the chloroplast genome, LSC, SSC, and IR regions of R. ovatifolia is 26,517 bp, 84,716 bp, 17,116 bp and 26,517 bp, respectively. Codon usag e analysis revealed that R. alata had the highest frequency of Aspartic acid (Asp) (1650 occurrences) in protein-coding sequences (CDS), while R. ovatifolia showed the highest frequency of Tyrosine (Try) (1479 occurrences). Comparative analysis of chloroplast genomes across seven species from the genus Rubia identified the most divergent coding regions, including rps16, psbI-trns-CGA, and petN, while plastid rRNAs were the most conserved. Phylogenetic analysis showed R. alata clustering with R. cordifolia (66.3% support), and R. ovatifolia clustering with Rubia podantha (100% support).</p><p><strong>Conclusions: </strong>These findings enhance our understanding of the chloroplast genome structure in Rubia species and provide molecular information for the future development and utilization of R. alata and R. ovatifolia resources.</p>\",\"PeriodicalId\":18755,\"journal\":{\"name\":\"Molecular Biology Reports\",\"volume\":\"51 1\",\"pages\":\"1140\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Biology Reports\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s11033-024-10046-1\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Biology Reports","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s11033-024-10046-1","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:茜草(Rubia alata Wall,R. alata)和茜草(Rubia ovatifolia Z. Ying Zhang,R. ovatifolia)是原产于中国的独特药用植物。测序它们的叶绿体基因组对于了解物种分化和建立系统发育关系非常重要:利用 Illumina HiSeq 平台对 R. alata 和 R. ovatifolia 的叶绿体基因组进行了测序。alata 的叶绿体基因组长度为 154,973 碱基对(bp),包含一个 84,801 bp 的大单拷贝区(LSC)、一个 17,138 bp 的小单拷贝区(SSC)和一对相同长度的倒置重复序列(IRs)。R. ovatifolia 的叶绿体基因组、LSC、SSC 和 IR 区的长度分别为 26,517 bp、84,716 bp、17,116 bp 和 26,517 bp。密码子使用分析表明,在蛋白质编码序列(CDS)中,R. alata 的天冬氨酸(Asp)出现频率最高(1650 次),而 R. ovatifolia 的酪氨酸(Try)出现频率最高(1479 次)。对茜草属 7 个物种叶绿体基因组的比较分析发现了差异最大的编码区,包括 rps16、psbI-trns-CGA 和 petN,而质体 rRNA 是最保守的。系统发生分析表明,R. alata 与 R. cordifolia 聚类(支持率为 66.3%),R. ovatifolia 与 Rubia podantha 聚类(支持率为 100%):这些发现加深了我们对茜草叶绿体基因组结构的了解,为今后开发和利用 R. alata 和 R. ovatifolia 资源提供了分子信息。
The chloroplast genome sequence and phylogenetic analysis of Rubia alata Wall and Rubia ovatifolia Z. Ying Zhang. (Rubiaceae).
Background: Rubia alata Wall (R. alata) and Rubia ovatifolia Z. Ying Zhang (R. ovatifolia) are unique medicinal plants native to China. Sequencing their chloroplast genomes is important for understanding species differentiation and establishing phylogenetic relationships.
Methods and results: The chloroplast genomes of R. alata and R. ovatifolia were sequenced using the Illumina HiSeq platform. The chloroplast genome of R. alata is 154,973 base pairs (bp) in length, containing a large single-copy region (LSC) of 84,801 bp, a small single-copy region (SSC) of 17,138 bp, and a pair of inverted repeats (IRs) of the same length. The length of the chloroplast genome, LSC, SSC, and IR regions of R. ovatifolia is 26,517 bp, 84,716 bp, 17,116 bp and 26,517 bp, respectively. Codon usag e analysis revealed that R. alata had the highest frequency of Aspartic acid (Asp) (1650 occurrences) in protein-coding sequences (CDS), while R. ovatifolia showed the highest frequency of Tyrosine (Try) (1479 occurrences). Comparative analysis of chloroplast genomes across seven species from the genus Rubia identified the most divergent coding regions, including rps16, psbI-trns-CGA, and petN, while plastid rRNAs were the most conserved. Phylogenetic analysis showed R. alata clustering with R. cordifolia (66.3% support), and R. ovatifolia clustering with Rubia podantha (100% support).
Conclusions: These findings enhance our understanding of the chloroplast genome structure in Rubia species and provide molecular information for the future development and utilization of R. alata and R. ovatifolia resources.
期刊介绍:
Molecular Biology Reports publishes original research papers and review articles that demonstrate novel molecular and cellular findings in both eukaryotes (animals, plants, algae, funghi) and prokaryotes (bacteria and archaea).The journal publishes results of both fundamental and translational research as well as new techniques that advance experimental progress in the field and presents original research papers, short communications and (mini-) reviews.