Evidence map›Paper›PMID 30464830›Full record

ArticleEcology and evolution2018

DNA barcoding the flowering plants from the tropical coral islands of Xisha (China).

Shengchun Li, Xin Qian, Zexin Zheng, Miaomiao Shi, Xiaoyu Chang, Xiaojuan Li, Junfang Liu, Tieyao Tu, Dianxiang Zhang

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shengchun LiKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.ORCID 0000-0002-4569-0899
Xin QianKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Zexin ZhengSouth China Agricultural University Guangzhou China.
Miaomiao ShiKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Xiaoyu ChangKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Xiaojuan LiKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Junfang LiuKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.
Tieyao TuKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.ORCID 0000-0001-7385-008X
Dianxiang ZhangKey Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden Chinese Academy of Sciences Guangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDNA barcoding has been widely applied to species diversity assessment in various ecosystems, including temperate forests, subtropical forests, and tropical rain forests. However, tropical coral islands have never been barcoded before due to the difficulties in field exploring. This study aims at barcoding the flowering plants from a unique ecosystem of the tropical coral islands in the Pacific Ocean and supplying valuable evolutionary information for better understanding plant community assembly of those particular islands in the future. LOCATION: Xisha Islands, China.

methodsThis study built a DNA barcode database for 155 plant species from the Xisha Islands using three DNA markers (ITS,

resultsAll the three DNA barcodes showed high levels of PCR success (96%-99%) and sequencing success (98%-100%). ITS performed the highest rate of species resolution (>95%) among the three markers, while plastid markers delivered a relatively poor species resolution (85%-90%). Our analyses obtained a marginal increase in species resolution when combining the three DNA barcodes. MAIN

conclusionsThis study provides the first plant DNA barcode data for the unique ecosystem of tropical coral islands and considerably supplements the DNA barcode library for the flowering plants on the oceanic islands. Based on the PCR and sequencing success rates, and the discriminatory power of the three DNA regions, we recommend ITS as the most successful DNA barcode to identify the flowering plants from Xisha Islands. Due to its high sequence variation and low fungal contamination, ITS could be a preferable candidate of DNA barcode for plants from other tropical coral islands as well. Our results also shed lights on the importance of biodiversity conservation of tropical coral islands.

Indexed as

biodiversity conservationcommunity assemblyDNA barcodePacific OceanSouth China Seaspecies identification

Identifiers

PMID30464830
PMCPMC6238132

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.