Evidence map›Paper›PMID 26388034›Full record

ArticleScientific reports2015

Phylogeographic structure of cotton pest Adelphocoris suturalis (Hemiptera: Miridae): strong subdivision in China inferred from mtDNA and rDNA ITS markers.

Lijuan Zhang, Hu Li, Shujuan Li, Aibing Zhang, Fei Kou, Huaizhu Xun, Pei Wang, Ying Wang, Fan Song, Jianxin Cui and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

13 authors.

Lijuan ZhangDepartment of Entomology, China Agricultural University, Beijing 100193, China.
Hu LiDepartment of Entomology, China Agricultural University, Beijing 100193, China.
Shujuan LiMaricopa Agricultural Center, University of Arizona, Maricopa, AZ 85138, USA.
Aibing ZhangCollege of Life Sciences, Capital Normal University, Beijing 100048, China.
Fei KouDepartment of Entomology, China Agricultural University, Beijing 100193, China.
Huaizhu XunDepartment of Entomology, China Agricultural University, Beijing 100193, China.
Pei WangKey Laboratory of Molluscan Quarantine and Identification of AQSIQ, Fujian Entry-Exit Inspection &Quarantine Bureau, Fuzhou, Fujian 350001, China.
Ying WangHenan Institute of Science and Technology, Xinxiang, Henan 453003, China.
Fan SongDepartment of Entomology, China Agricultural University, Beijing 100193, China.
Jianxin CuiHenan Institute of Science and Technology, Xinxiang, Henan 453003, China.
Jinjie CuiCotton Research Institute, Chinese Academy of Agricultural Sciences, Anyang, Henan 455000, China.
Dawn H GougeDepartment of Entomology, University of Arizona, Maricopa, AZ 85721, USA.
Wanzhi CaiDepartment of Entomology, China Agricultural University, Beijing 100193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogeographic patterns of some extant plant and vertebrate species have been well studied; however, they are poorly understood in the majority of insects. The study documents analysis of mitochondrial (COI, CYTB and ND5) and nuclear (5.8S rDNA, ITS2 and 28S rDNA) data from 419 individuals of Adelphocoris suturalis, which is one of the main cotton pests found in the 31 locations in China and Japan involved in the study. Results show that the species is highly differentiated between populations from central China and peripheral China regions. Analysis of molecular variance showed a high level of geographical differentiation at different hierarchical levels. Isolation-by-distance test showed no significant correlation between genetic distance and geographical distance among A. suturalis populations, which suggested gene flow is not restricted by distance. In seven peripheral populations, the high levels of genetic differentiation and the small Nem values implied that geographic barriers were more likely restrict gene flow. Neutrality tests and the Bayesian skyline plot suggested population expansion likely happened during the cooling transition between Last Interglacial and Last Glacial Maximum. All lines of evidence suggest that physical barriers, Pleistocene climatic oscillations and geographical heterogeneity have affected the population structure and distribution of this insect in China.

Indexed as

Evolution, MolecularAnimalsBase SequenceChinaDNA, MitochondrialDNA, Ribosomal SpacerElectron Transport Complex IElectron Transport Complex IVGenetic VariationGossypiumHeteropteraJapanMitochondriaPhylogeographyRNA, Ribosomal, 28SRNA, Ribosomal, 5.8SDNA, MitochondrialDNA, Ribosomal SpacerElectron Transport Complex IElectron Transport Complex IVRNA, Ribosomal, 28SRNA, Ribosomal, 5.8S

Identifiers

PMID26388034
PMCPMC4585665

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