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HT‐SuperSAGE of the gut tissue of a Vip3Aa‐resistant Heliothis virescens (Lepidoptera: Noctuidae) strain provides insights into the basis of resistance

Overview of attention for article published in Insect Science, December 2017
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Title
HT‐SuperSAGE of the gut tissue of a Vip3Aa‐resistant Heliothis virescens (Lepidoptera: Noctuidae) strain provides insights into the basis of resistance
Published in
Insect Science, December 2017
DOI 10.1111/1744-7917.12535
Pubmed ID
Authors

Camilo Ayra‐Pardo, Maria E. Ochagavía, Ben Raymond, Asim Gulzar, Lianet Rodríguez‐Cabrera, Claudia Rodríguez de la Noval, Ivis Morán Bertot, Ryohei Terauchi, Kentaro Yoshida, Hideo Matsumura, Pilar Téllez Rodríguez, Daily Hernández Hernández, Orlando Borrás‐Hidalgo, Denis J. Wright

Abstract

Multi-toxin Bt-crops expressing insecticidal toxins with different modes of action e.g. Cry and Vip, are expected to improve resistance management in target pests. While Cry1A resistance has been relatively well characterized in some insect species, this is not the case for Vip3A, for which no mechanism of resistance has yet been identified. Here we applied HT-SuperSAGE to analyze the transcriptome of the gut tissue of tobacco budworm Heliothis virescens (F.) laboratory-selected for Vip3Aa resistance. From a total of 1 324 252 sequence reads, 58951 26-bp tags were obtained representing 17 751 non-singleton unique transcripts (UniTags) from genetically similar Vip3Aa-resistant (Vip-Sel) and susceptible control (Vip-Unsel) strains. Differential expression was significant (≥ 2.5-fold or ≤ 0.4; P<0.05) for 1989 sequences (11.2% of total UniTags), where 420 represented over-expressed (OE) and 1569 under-expressed (UE) genes in Vip-Sel. BLASTN searches mapped 419 UniTags to H. virescens sequence contigs, of which, 416 (106 OE and 310 UE) were unambiguously annotated to proteins in NCBI non-redundant protein databases. Gene Ontology distributed 345 of annotated UniTags in 14 functional categories with metabolism (including serine-type hydrolases) and translation/ribosome biogenesis being the most prevalent. A UniTag homologous to a particular member of the REsponse to PAThogen (REPAT) family was found among most over-expressed, while, UniTags related to the putative Vip3Aa-binding ribosomal protein S2 (RpS2) were under-expressed. qRT-PCR of a subset of UniTags validated the HT-SuperSAGE data. The present study is the first providing lepidopteran gut transcriptome associated with Vip3Aa resistance and a foundation for future attempts to elucidate the resistance mechanism. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Bachelor 3 20%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 40%
Biochemistry, Genetics and Molecular Biology 3 20%
Medicine and Dentistry 1 7%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2019.
All research outputs
#17,914,959
of 23,001,641 outputs
Outputs from Insect Science
#510
of 840 outputs
Outputs of similar age
#305,630
of 437,833 outputs
Outputs of similar age from Insect Science
#19
of 33 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 840 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.