| Literature DB >> 33767754 |
Osnat Malka1, Ester Feldmesser2, Sharon van Brunschot3,4, Diego Santos-Garcia1, Wen-Hao Han5, Susan Seal3, John Colvin3, Shai Morin1.
Abstract
The whitefly Bemisia tabaci is a closely related group of >35 cryptic species that feed on the phloem sap of a broad range of host plants. Species in the complex differ in their host-range breadth, but the mechanisms involved remain poorly understood. We investigated, therefore, how six different B. tabaci species cope with the environmental unpredictability presented by a set of four common and novel host plants. Behavioral studies indicated large differences in performances on the four hosts and putative specialization of one of the species to cassava plants. Transcriptomic analyses revealed two main insights. First, a large set of genes involved in metabolism (>85%) showed differences in expression between the six species, and each species could be characterized by its own unique expression pattern of metabolic genes. However, within species, these genes were constitutively expressed, with a low level of environmental responsiveness (i.e., to host change). Second, within each species, sets of genes mainly associated with the super-pathways "environmental information processing" and "organismal systems" responded to the host switching events. These included genes encoding for proteins involved in sugar homeostasis, signal transduction, membrane transport, and immune, endocrine, sensory and digestive responses. Our findings suggested that the six B. tabaci species can be divided into four performance/transcriptomic "Types" and that polyphagy can be achieved in multiple ways. However, polyphagy level is determined by the specific identity of the metabolic genes/pathways that are enriched and overexpressed in each species (the species' individual metabolic "tool kit").Entities:
Keywords: Bemisia tabaci; constitutive and plastic expression; host adaptation; insect–plant interactions; molecular mechanisms; polyphagy
Year: 2020 PMID: 33767754 PMCID: PMC7980310 DOI: 10.1111/eva.13162
Source DB: PubMed Journal: Evol Appl ISSN: 1752-4571 Impact factor: 5.183