Finnish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Scientific Reports 2018-Aug

Transcriptomic Analysis of Aedes aegypti in Response to Mosquitocidal Bacillus thuringiensis LLP29 Toxin.

Vain rekisteröityneet käyttäjät voivat kääntää artikkeleita
Kirjaudu sisään Rekisteröidy
Linkki tallennetaan leikepöydälle
Khadija Batool
Intikhab Alam
Songqing Wu
Wencheng Liu
Guohui Zhao
Mingfeng Chen
Junxiang Wang
Jin Xu
Tianpei Huang
Xiaohong Pan

Avainsanat

Abstrakti

Globally, Aedes aegypti is one of the most dangerous mosquitoes that plays a crucial role as a vector for human diseases, such as yellow fever, dengue, and chikungunya. To identify (1) transcriptomic basis of midgut (2) key genes that are involved in the toxicity process by a comparative transcriptomic analysis between the control and Bacillus thuringiensis (Bt) toxin (LLP29 proteins)-treated groups. Next-generation sequencing technology was used to sequence the midgut transcriptome of A. aegypti. A total of 17130 unigenes, including 574 new unigenes, were identified containing 16358 (95.49%) unigenes that were functionally annotated. According to differentially expressed gene (DEG) analysis, 557 DEGs were annotated, including 226 upregulated and 231 downregulated unigenes in the Bt toxin-treated group. A total of 442 DEGs were functionally annotated; among these, 33 were specific to multidrug resistance, 6 were immune-system-related (Lectin, Defensin, Lysozyme), 28 were related to putative proteases, 7 were lipase-related, 8 were related to phosphatases, and 30 were related to other transporters. In addition, the relative expression of 28 DEGs was further confirmed through quantitative real time polymerase chain reaction. The results provide a transcriptomic basis for the identification and functional authentication of DEGs in A. aegypti.

Liity facebook-sivullemme

Täydellisin lääketieteellinen tietokanta tieteen tukemana

  • Toimii 55 kielellä
  • Yrttilääkkeet tieteen tukemana
  • Yrttien tunnistaminen kuvan perusteella
  • Interaktiivinen GPS-kartta - merkitse yrtit sijaintiin (tulossa pian)
  • Lue hakuusi liittyviä tieteellisiä julkaisuja
  • Hae lääkekasveja niiden vaikutusten perusteella
  • Järjestä kiinnostuksesi ja pysy ajan tasalla uutisista, kliinisistä tutkimuksista ja patenteista

Kirjoita oire tai sairaus ja lue yrtteistä, jotka saattavat auttaa, kirjoita yrtti ja näe taudit ja oireet, joita vastaan sitä käytetään.
* Kaikki tiedot perustuvat julkaistuun tieteelliseen tutkimukseen

Google Play badgeApp Store badge