Evidence map›Paper›PMID 26330304›Full record

ArticleBMC genomics2015

EST-based in silico identification and in vitro test of antimicrobial peptides in Brassica napus.

Tao Ke, Huihui Cao, Junyan Huang, Fan Hu, Jin Huang, Caihua Dong, Xiangdong Ma, Jingyin Yu, Han Mao, Xi Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Proteomics assisted profiling of antimicrobial peptide signatures from black pepper (Physiology and molecular biology of plants : an international journal of functional plant biology · 2018
    Article
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 at 4 institutions in 2 countries.

Tao KeKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. ketao2@hotmail.com.
Huihui CaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. perfect_ch@sina.cn.
Junyan HuangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. huangjy@oilcrops.cn.
Fan HuHubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei University, Wuhan, 430062, P. R. China. fhu2008@qq.com.
Jin HuangHubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei University, Wuhan, 430062, P. R. China. 543000863@qq.com.
Caihua DongKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. dongch@oilcrops.cn.
Xiangdong MaHubei Collaborative Innovation Center for Green Transformation of Bio-Resources, Hubei University, Wuhan, 430062, P. R. China. mabo1978@163.com.
Jingyin YuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. yujyinfor@gmail.com.
Han MaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. maohan1976@hotmail.com.
Xi WangCollege of Life Science and Technology, Nanyang Normal University, Nanyang, 473061, China. 253800854@qq.com.
Qiuhong NiuCollege of Life Science and Technology, Nanyang Normal University, Nanyang, 473061, China. qiuhongniu@163.com.
Fengli HuiCollege of Life Science and Technology, Nanyang Normal University, Nanyang, 473061, China. huifl@126.com.
Shengyi LiuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of CAAS, Wuhan, 430062, P. R. China. Liusy@oilcrops.cn.
Oil Crops Research Institute · CNNanyang Normal University · CNHubei University · CNMinistry of Agriculture · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrassica napus is the third leading source of vegetable oil in the world after soybean and oil palm. The accumulation of gene sequences, especially expressed sequence tags (ESTs) from plant cDNA libraries, has provided a rich resource for genes discovery including potential antimicrobial peptides (AMPs). In this study, we used ESTs including those generated from B. napus cDNA libraries of seeds, pathogen-challenged leaves and deposited in the public databases, as a model, to perform in silico identification and consequently in vitro confirmation of putative AMP activities through a highly efficient system of recombinant AMP prokaryotic expression.

resultsIn total, 35,788 were generated from cDNA libraries of pathogen-challenged leaves and 187,272 ESTs from seeds of B. napus, and the 644,998 ESTs of B. napus were downloaded from the EST database of PlantGDB. They formed 201,200 unigenes. First, all the known AMPs from the AMP databank (APD2 database) were individually queried against all the unigenes using the BLASTX program. A total of 972 unigenes that matched the 27 known AMP sequences in APD2 database were extracted and annotated using Blast2GO program. Among these unigenes, 237 unigenes from B. napus pathogen-challenged leaves had the highest ratio (1.15 %) in this unigene dataset, which is 13 times that of the unigene datasets of B. napus seeds (0.09 %) and 2.3 times that of the public EST dataset. About 87 % of each EST library was lipid-transfer protein (LTP) (32 % of total unigenes), defensin, histone, endochitinase, and gibberellin-regulated proteins. The most abundant unigenes in the leaf library were endochitinase and defensin, and LTP and histone in the pub EST library. After masking of the repeat sequence, 606 peptides that were orthologous matched to different AMP families were found. The phylogeny and conserved structural motifs of seven AMPs families were also analysed. To investigate the antimicrobial activities of the predicted peptides, 31 potential AMP genes belonging to different AMP families were selected to test their antimicrobial activities after bioinformatics identification. The AMP genes were all optimized according to Escherichia coli codon usage and synthetized through one-step polymerase chain reaction method. The results showed that 28 recombinant AMPs displayed expected antimicrobial activities against E. coli and Micrococcus luteus and Sclerotinia sclerotiorum strains.

conclusionThe study not only significantly expanded the number of known/predicted peptides, but also contributed to long-term plant genetic improvement for increased resistance to diverse pathogens of B.napus. These results proved that the high-throughput method developed that combined an in silico procedure with a recombinant AMP prokaryotic expression system is considerably efficient for identification of new AMPs from genome or EST sequence databases.

Indexed as

Computer SimulationExpressed Sequence TagsAmino Acid SequenceAntifungal AgentsAntimicrobial Cationic PeptidesAscomycotaBrassica napusElectrophoresis, Polyacrylamide GelEscherichia coliGenes, PlantMicrobial Sensitivity TestsMicrococcus luteusMolecular Sequence DataPhylogenyPolymerase Chain ReactionRecombinant Fusion ProteinsAntifungal AgentsAntimicrobial Cationic PeptidesRecombinant Fusion Proteins

Identifiers

PMID26330304
PMCPMC4557752
OpenAlexW1922818364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.