Wu Fan, Ma Jinxing, Meng Yuqin, Zhang Daiyu, Pascal Muvunyi Blaise, Luo Kai, Di Hongyan, Guo Wenli, Wang Yanrong, Feng Baochang, Zhang Jiyu
State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
National Quality Control & Inspection Centre for Grassland Industry Products, National Animal Husbandry Service, Ministry of Agriculture, Beijing, China.
PLoS One. 2017 Sep 14;12(9):e0182693. doi: 10.1371/journal.pone.0182693. eCollection 2017.
Melilotus, an annual or biennial herb, belongs to the tribe Trifolieae (Leguminosae) and consists of 19 species. As an important green manure crop, diverse Melilotus species have different values as feed and medicine. To identify different Melilotus species, we examined the efficiency of five candidate regions as barcodes, including the internal transcribed spacer (ITS) and two chloroplast loci, rbcL and matK, and two non-coding loci, trnH-psbA and trnL-F. In total, 198 individuals from 98 accessions representing 18 Melilotus species were sequenced for these five potential barcodes. Based on inter-specific divergence, we analysed sequences and confirmed that each candidate barcode was able to identify some of the 18 species. The resolution of a single barcode and its combinations ranged from 33.33% to 88.89%. Analysis of pairwise distances showed that matK+rbcL+trnL-F+trnH-psbA+ITS (MRTPI) had the greatest value and rbcL the least. Barcode gap values and similarity value analyses confirmed these trends. The results indicated that an ITS region, successfully identifying 13 of 18 species, was the most appropriate single barcode and that the combination of all five potential barcodes identified 16 of the 18 species. We conclude that MRTPI is the most effective tool for Melilotus species identification. Taking full advantage of the barcode system, a clear taxonomic relationship can be applied to identify Melilotus species and enhance their practical production.
草木犀是一种一年生或二年生草本植物,属于三叶草族(豆科),由19个物种组成。作为一种重要的绿肥作物,不同的草木犀物种在饲料和药用方面具有不同的价值。为了鉴别不同的草木犀物种,我们检测了五个候选区域作为条形码的有效性,包括内部转录间隔区(ITS)和两个叶绿体基因座rbcL和matK,以及两个非编码基因座trnH-psbA和trnL-F。总共对代表18个草木犀物种的98个种质的198个个体进行了这五个潜在条形码的测序。基于种间差异,我们分析了序列并确认每个候选条形码都能够鉴别出18个物种中的一些。单个条形码及其组合的分辨率范围为33.33%至88.89%。成对距离分析表明,matK+rbcL+trnL-F+trnH-psbA+ITS(MRTPI)的值最大,rbcL的值最小。条形码间隙值和相似性值分析证实了这些趋势。结果表明,ITS区域成功鉴别出了18个物种中的13个,是最合适的单个条形码,而所有五个潜在条形码的组合鉴别出了18个物种中的16个。我们得出结论,MRTPI是鉴别草木犀物种最有效的工具。充分利用条形码系统,可以应用明确的分类关系来鉴别草木犀物种并提高它们的实际产量。