Evidence map›Paper›PMID 31997112›Full record

ArticlePlant molecular biology2020

Comparative analyses of chloroplast genomes from 13 Lagerstroemia (Lythraceae) species: identification of highly divergent regions and inference of phylogenetic relationships.

Gang Zheng, Lingling Wei, Li Ma, Zhiqiang Wu, Cuihua Gu, Kai Chen

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Article in Plant molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

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39citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 88 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Gang ZhengSchool of Landscape and Architecture, Zhejiang A & F University, Hangzhou, 311300, China.
Lingling WeiSchool of Landscape and Architecture, Zhejiang A & F University, Hangzhou, 311300, China.
Li MaSchool of Landscape and Architecture, Zhejiang A & F University, Hangzhou, 311300, China.
Zhiqiang WuGuangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000, China.
Cuihua GuSchool of Landscape and Architecture, Zhejiang A & F University, Hangzhou, 311300, China. gucuihua@zafu.edu.cn.
Kai ChenSchool of Landscape and Architecture, Zhejiang A & F University, Hangzhou, 311300, China.
State Forestry and Grassland Administration · CNZhejiang A & F University · CNAgricultural Genomics Institute at Shenzhen · CNBeijing Forestry University · CN

Funding

Zhejiang Provincial Natural Science Foundation of China LY17C160003
6 · The paper itself

Abstract

key messageSeven divergence hotspots as plastid markers for DNA barcoding was selected, and the phylogeny of 13 Lagerstroemia species based on the cp genome data was reconstructed within Myrtales. The Lagerstroemia species used in this study originated in China and have high economic and ecological value. The shared interspecific morphological characteristics and intraspecific morphological variation resulting from hybridization among Lagerstroemia taxa have made resolving their classification problems and phylogenetic relationships difficult. Systematic comparative genomic analysis has been shown to resolve phylogenetic relationships. We sequenced and annotated 6 Lagerstroemia cp genomes (Lagerstroemia excelsa, Lagerstroemia limii, Lagerstroemia siamica, Lagerstroemia tomentosa, Lagerstroemia venusta, and Lagerstroemia calyculata) for the first time and combined them with previously published genomes for Lagerstroemia species. Bioinformatics was used to analyse the 13 cp genomes in terms of gene structure and organization, codon usage, contraction and expansion of inverted repeat regions, repeat structure, divergence hotspots, species pairwise Ka/Ks ratios and phylogenetic relationships. The length varied between 152,049 bp in Lagerstroemia subcostata and 152,521 bp in L. venusta. We selected seven divergence hotspots in the cp genomes that had the potential to act as plastid markers to distinguish Lagerstroemia species. The phylogenetic relationships within Myrtales inferred from the cp genomes of 13 Lagerstroemia species and 27 other Myrtales species were highly supported, which illustrated several novel relationships within Myrtales. Taken together, our results provide comprehensive chloroplast genomic resources, which can be used further for species identification and molecular breeding of Lagerstroemia species.

Indexed as

PhylogenyBase SequenceChloroplastsDatabases, Nucleic AcidEvolution, MolecularGenome, ChloroplastLagerstroemiaMolecular Sequence AnnotationPlant ProteinsPlastidsSequence Analysis, DNAPlant ProteinsChloroplast genomeDivergent hotspotsLagerstroemiaPhylogenyPlastid marker

Identifiers

PMID31997112
OpenAlexW3003263618

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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.