Evidence map›Paper›PMID 29793434›Full record

ArticleBMC genomics2018

Comparative transcriptome analysis of the invasive weed Mikania micrantha with its native congeners provides insights into genetic basis underlying successful invasion.

Wuxia Guo, Ying Liu, Wei Lun Ng, Pei-Chun Liao, Bing-Hong Huang, Weixi Li, Chunmei Li, Xianggang Shi, Yelin Huang

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Wuxia GuoState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Ying LiuState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Wei Lun NgState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Pei-Chun LiaoDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Bing-Hong HuangDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Weixi LiState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Chunmei LiState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Xianggang ShiState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China.
Yelin HuangState Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, 135 Xingang West Road, 510275, Guangzhou, Guangdong, People's Republic of China. lsshyl@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-2514-0144
Sun Yat-sen University · CNNational Taiwan Normal University · TW

Funding

National Natural Science Foundation of China 31700178National Natural Science Foundation of China 41776166Natural Science Foundation of Guangdong Province 2015A030313136Natural Science Foundation of Guangdong Province 2017A030313159Special Fund for Science and Technology Development of Guangdong Province 2017A030303014the Science and Technology Program of Guangzhou 201707020035the Science Foundation of the State Key Laboratory of Biocontrol 32-2017-A30
6 · The paper itself

Abstract

backgroundMikania micrantha H.B.K. (Asteraceae) is one of the world's most invasive weeds which has been rapidly expanding in tropical Asia, including China, while its close relative M. cordata, the only Mikania species native to China, shows no harm to the local ecosystems. These two species are very similar in morphology but differ remarkably in several ecological and physiological traits, representing an ideal system for comparative analysis to investigate the genetic basis underlying invasion success. In this study, we performed RNA-sequencing on the invader M. micrantha and its native congener M. cordata in China, to unravel the genetic basis underlying the strong invasiveness of M. micrantha. For a more robust comparison, another non-invasive congener M. cordifolia was also sequenced and compared.

resultsA total of 52,179, 55,835, and 52,983 unigenes were obtained for M. micrantha, M. cordata, and M. cordifolia, respectively. Phylogenetic analyses and divergence time dating revealed a relatively recent split between M. micrantha and M. cordata, i.e., approximately 4.81 million years ago (MYA), after their divergence with M. cordifolia (8.70 MYA). Gene ontology classifications, pathway assignments and differential expression analysis revealed higher representation or significant up-regulation of genes associated with photosynthesis, energy metabolism, protein modification and stress response in M. micrantha than in M. cordata or M. cordifolia. Analysis of accelerated evolution and positive selection also suggested the importance of these related genes and processes to the adaptability and invasiveness of M. micrantha. Particularly, most (77 out of 112, i.e. 68.75%) positively selected genes found in M. micrantha could be classified into four groups, i.e., energy acquisition and utilization (10 genes), growth and reproduction (13 genes), protection and repair (34 genes), and signal transduction and expression regulation (20 genes), which may have contributed to the high adaptability of M. micrantha to various new environments and the capability to occupy a wider niche, reflected in its high invasiveness.

conclusionsWe characterized the transcriptomes of the invasive species M. micrantha and its non-invasive congeners, M. cordata and M. cordifolia. A comparison of their transcriptomes provided insights into the genetic basis of the high invasiveness of M. micrantha.

Indexed as

Gene Expression ProfilingIntroduced SpeciesEvolution, MolecularMikaniaMolecular Sequence AnnotationPhylogenyPlant WeedsSelection, GeneticComparative transcriptomicsEco-adaptationInvasionMikaniaPositive selection

Identifiers

PMID29793434
PMCPMC5968712
OpenAlexW2805540775

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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.