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Supplementary material for Identification and Characterization of Three Chemosensory Receptor Families in the Cotton Bollworm Helicoverpa armigera

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About this Collection

Supplementary material for Identification and Characterization of Three Chemosensory Receptor Families in the Cotton Bollworm Helicoverpa armigera


Supplementary data for the BMC Genomics paper titled: "Identification and Characterization of Three Chemosensory Receptor Families in the Cotton Bollworm Helicoverpa armigera"


Bioinformatics Gene Expression (incl. Microarray and other genome-wide approaches) Genomics Invertebrate Biology


https://doi.org/10.4225/08/538FD6C5C9897


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Helicoverpa armigera Olfactory receptor Gustatory receptor Ionotropic receptor Expression pattern


:

NCBI BioProject PRJNA244590


The raw data used to produce these are derived and available from NCBI's BioProject PRJNA244590


Nai-Yong Liu and Wei Xu for phylogenetics Alexie Papanicolaou for expression analysis


CSIRO Data Licence


CSIRO (Australia)


CSIRO; Liu, Naiyong; Xu, Wei; Papanicolaou, Alexie; Dong, Shuang-Lin; Anderson, Alisha (2014): Supplementary material for Identification and Characterization of Three Chemosensory Receptor Families in the Cotton Bollworm Helicoverpa armigera. v2. CSIRO. Data Collection. https://doi.org/10.4225/08/538FD6C5C9897


All Rights (including copyright) CSIRO Australia 2014.


The metadata and files (if any) are available to the public.

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About this Project

Catalytic Dissecting Adaptive Potential


Background: Chemosensory receptors including olfactory receptors (ORs), gustatory receptors (GRs) and ionotropic receptors (IRs) play a central role in sensing chemical signals and guiding insect behaviours, and are potential target genes in insect pest control. The cotton bollworm Helicoverpa armigera is one of the most destructive pest species th... more


Alisha Anderson


Phlyogenetics analysis


Alignments of amino acid sequences were performed by ClustalW2 and were visualized by Jalview 2.7 . Phylogenetic trees were constructed by PhyML based on Jones-Taylor-Thornton (JTT) model with Nearest Neighbour Interchange (NNI). Branch support was estimated by approximate likelihood ratio test (Chi2). In the OR data set, we selected the ORs with... more


Analysis


CSIRO


Naiyong Liu


Wei Xu


Alexie Papanicolaou


Shuang-Lin Dong


Alisha Anderson


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