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4 results for “Tetrix bolivari”
Supplementary material 1 from: Zhao L, Lin L-L, Zheng Z-M (2016) DNA barcoding reveals polymorphism in the pygmy grasshopper Tetrix bolivari (Orthoptera, Tetrigidae). ZooKeys 582: 111-120. https://doi.org/10.3897/zookeys.582.6301
Pairwise genetic distance (K2P) based on COI sequence using MEGA 5 :
Figure 3 from: Zhao L, Lin L-L, Zheng Z-M (2016) DNA barcoding reveals polymorphism in the pygmy grasshopper Tetrix bolivari (Orthoptera, Tetrigidae). ZooKeys 582: 111-120. https://doi.org/10.3897/zookeys.582.6301
Figure 3 - Morphs of pygmy grasshoppers (Tetrix bolivari) classified by type of colour and markings on the pronotum. A1-7 belongs to type A; B1-4 belongs to type B.
Figure 2 from: Zhao L, Lin L-L, Zheng Z-M (2016) DNA barcoding reveals polymorphism in the pygmy grasshopper Tetrix bolivari (Orthoptera, Tetrigidae). ZooKeys 582: 111-120. https://doi.org/10.3897/zookeys.582.6301
Figure 2 - A Haplotype network from 63 sequences, including 57 Tetrix bolivari individuals, 4 Tetrix species, 1 Alulatettix yunnanensis and 1 outgroup (Teleogryllus emma) B Haplotype network of 57 Tetrix bolivari individuals combined with the morph types. Circle size is proportional to haplotype frequency. Lines drawn between haplotypes represent mutation events identified by the numbers corresponding to the positions at which the mutations were observed. Red points represent hypothetical haplotypes (median vector). Colours in B represent morph types. Yellow areas represent type A and black areas represent type B.
Figure 1 from: Zhao L, Lin L-L, Zheng Z-M (2016) DNA barcoding reveals polymorphism in the pygmy grasshopper Tetrix bolivari (Orthoptera, Tetrigidae). ZooKeys 582: 111-120. https://doi.org/10.3897/zookeys.582.6301
Figure 1 - NJ clustering analysis of 62 sequences of pygmy grasshoppers using MEGA5 and K2P model. Teleogryllus emma is used as an outgroup. The clade 1-57 represents samples from this study.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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