Evidence map›Paper›PMID 31673057›Full record

ArticleScientific reports2019

Structural and phylogenetic implications of the complete mitochondrial genome of Ledra auditura.

Jia-Jia Wang, De-Fang Li, Hu Li, Mao-Fa Yang, Ren-Huai Dai

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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3 · Its place in the literature

Who cites it

22 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

5 authors.

Jia-Jia WangThe Provincial Key Laboratory for Agricultural Pest Management Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, 550025, P.R. China.
De-Fang LiThe Provincial Key Laboratory for Agricultural Pest Management Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, 550025, P.R. China.
Hu LiThe Provincial Key Laboratory for Agricultural Pest Management Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, 550025, P.R. China.ORCID http://orcid.org/0000-0002-5453-6084
Mao-Fa YangThe Provincial Key Laboratory for Agricultural Pest Management Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, 550025, P.R. China.
Ren-Huai DaiThe Provincial Key Laboratory for Agricultural Pest Management Mountainous Region, Institute of Entomology, Guizhou University, Guiyang, Guizhou, 550025, P.R. China. dmolbio@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We sequenced and annotated the first complete mitochondrial genome (mitogenome) of Ledra auditura (Hemiptera: Cicadellidae: Ledrinae) and reconstructed phylogenetic relationships among 47 species (including 2 outgroup species) on the basis of 3 datasets using maximum likelihood (ML) and Bayesian inference (BI) analyses. The complete L. auditura mitogenome (length, 16,094 bp) comprises 37 genes [13 protein-coding genes (PCGs), 22 tRNAs, and 2 rRNAs], 1 control region, and 2 long non-coding regions. The first long non-coding region (length, 211 bp) is located between tRNA-I and tRNA-Q and the second region (length, 994 bp) between tRNA-S2 and ND1. All PCGs show ATN (Met/Ile) as their start codon and TAR as their stop codon. Except tRNA-S1 (AGN), which lacks the dihydrouridine arm, all tRNAs can fold into the typical cloverleaf secondary structure. The complete L. auditura mitogenome shows a base composition bias of 76.3% A + T (A = 29.9%, T = 46.4%, G = 13.3%, and C = 10.5%), negative AT skew of -0.22, and positive GC skew of 0.12. In ML and BI analyses, L. auditura was clustered with Evacanthus heimianus (Hemiptera: Cicadellidae: Evacanthinae) with strong branch support.

Indexed as

AnimalsBase SequenceBayes TheoremCodonGenome, MitochondrialHemipteraMolecular Sequence AnnotationNucleic Acid ConformationOpen Reading FramesPhylogenyRNA, RibosomalRNA, TransferSequence Analysis, DNACodonRNA, RibosomalRNA, Transfer

Identifiers

PMID31673057
PMCPMC6823449

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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.