Factors affecting population dynamics of maternally transmitted endosymbionts in Bemisia tabaci

Huipeng Pan1, Xianchun Li, Daqing Ge

  • 1Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.

Plos One
|March 3, 2012
PubMed

Insights

Bemisia tabaci (whiteflies) host primary symbionts, but secondary symbiont infections vary. Biotype, host plant, and location significantly influence these symbiont dynamics in Chinese whitefly populations.

Area of Science:

  • Entomology
  • Microbial Ecology
  • Genetics

Background:

  • Bemisia tabaci (whiteflies) harbor essential primary symbionts (Portiera).
  • Secondary symbiont (S-symbiont) infection frequencies vary widely across B. tabaci populations.
  • Six S-symbionts (Hamiltonella, Arsenophonus, Cardinium, Wolbachia, Rickettsia, Fritschea) are known in whiteflies.

Purpose of the Study:

  • To investigate factors influencing S-symbiont infection dynamics in B. tabaci.
  • To screen for the presence and co-infections of S-symbionts in field populations.
  • To determine the impact of biotype, host plant, and location on S-symbiont prevalence.

Main Methods:

  • Gene-specific PCR was used to detect Portiera and six S-symbionts.
  • Sixty-one field populations of B. tabaci (17 B and 44 Q biotypes) were analyzed.
  • Symbiont presence, infection rates, and co-infections were screened in different populations.

Main Results:

  • All 61 populations harbored the primary symbiont Portiera.
  • Arsenophonus and Fritschea were not detected in any of the sampled populations.
  • Hamiltonella, Cardinium, Rickettsia, Wolbachia, and their co-infections showed significant variation in infection rates.
  • Symbiont infection dynamics were influenced by B. tabaci biotype, host plant, and geographical location.

Conclusions:

  • Biotype, host plant, and geographical location are key factors driving S-symbiont infection dynamics in B. tabaci.
  • The prevalence of specific S-symbionts and their co-infections is not uniform across populations.
  • Understanding these dynamics is crucial for managing whitefly populations and their associated microbial communities.