Evidence map›Paper›PMID 34645404›Full record

ArticleBMC plant biology2021

Developing an efficient DNA barcoding system to differentiate between Lilium species.

Yixin Liu, Mingfang Zhang, Xuqing Chen, Xi Chen, Yue Hu, Junlian Gao, Wenqiang Pan, Yin Xin, Jian Wu, Yunpeng Du and 1 more

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yixin LiuBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Mingfang ZhangBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Xuqing ChenBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Xi ChenBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Yue HuBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Junlian GaoBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Wenqiang PanBeijing Key Laboratory of Development and Quality Control of Ornamental Crops, Department of Ornamental Horticulture and Landscape Architecture, China Agricultural University, Beijing, 100193, China.
Yin XinBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Jian WuBeijing Key Laboratory of Development and Quality Control of Ornamental Crops, Department of Ornamental Horticulture and Landscape Architecture, China Agricultural University, Beijing, 100193, China. jianwu@cau.edu.cn.ORCID http://orcid.org/0000-0001-8582-302X
Yunpeng DuBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. dyp_851212@126.com.
Xiuhai ZhangBeijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. zhangxuhai@baafs.net.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLilium is an important ornamental bulb, possesses medicinal properties, and is also edible. Species within the Lilium genus share very similar morphology and macroscopic characteristics, thus they cannot be easily and clearly distinguished from one another. To date, no efficient species-specific markers have been developed for classifying wild lily species, which poses an issue with further characterizing its medicinal properties.

resultsTo develop a simple and reliable identification system for Lilium, 45 representative species from 6 sections were used to develop a DNA barcoding system, which was based on DNA sequence polymorphisms. In this study, we assessed five commonly used DNA barcode candidates (ITS, rbcL, ycf1b, matK and psbA-trnH) and five novel barcode candidates obtained from highly variable chloroplast genomic regions (trnL-trnF, trnS-trnG, trnF-ndhJ, trnP-psaJ-rpI33 and psbB-psbH). We showed that a set of three novel DNA barcodes (ITS + trnP-psaJ-rpI33 + psbB-psbH) could be efficiently used as a genetic marker to distinguish between lily species, as assessed by methods including DNAsp, BI and ML tree, and Pair Wise Group (PWG).

conclusionsA rapid and reliable DNA barcoding method was developed for all 45 wild Lilium species by using ITS, trnP-psaJ-rpI33, and psbB-psbH as DNA barcoding markers. The method can be used in the classification of wild Lilium species, especially endangered species, and also provides an effective method for selective lily breeding.

Indexed as

Endangered SpeciesGenetic MarkersGenome, ChloroplastSequence Analysis, DNADNA Barcoding, TaxonomicGenetic VariationLiliumPhylogenyPlants, MedicinalSpecies SpecificityGenetic MarkerscpDNA hypervariable regionDNA barcodingLiliumPhylogenesisSpecies identification

Identifiers

PMID34645404
PMCPMC8513328

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