The mechanism of pollinator specificity between two sympatric fig varieties: a combination of olfactory signals and contact cues.

Ann Bot

Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China.

Published: February 2013

Background And Aims: Pollinator specificity facilitates reproductive isolation among plants, and mechanisms that generate specificity influence species boundaries. Long-range volatile attractants, in combination with morphological co-adaptations, are generally regarded as being responsible for maintaining extreme host specificity among the fig wasps that pollinate fig trees, but increasing evidence for breakdowns in specificity is accumulating. The basis of host specificity was examined among two host-specific Ceratosolen fig wasps that pollinate two sympatric varieties of Ficus semicordata, together with the consequences for the plants when pollinators entered the alternative host variety.

Methods: The compositions of floral scents from receptive figs of the two varieties and responses of their pollinators to these volatiles were compared. The behaviour of the wasps once on the surface of the figs was also recorded, together with the reproductive success of figs entered by the two Ceratosolen species.

Key Results: The receptive-phase floral scents of the two varieties had different chemical compositions, but only one Ceratosolen species displayed a preference between them in Y-tube trials. Specificity was reinforced at a later stage, once pollinators were walking on the figs, because both species preferred to enter figs of their normal hosts. Both pollinators could enter figs of both varieties and pollinate them, but figs with extra-varietal pollen were more likely to abort and contained fewer seeds. Hybrid seeds germinated at normal rates.

Conclusions: Contact cues on the surface of figs have been largely ignored in previous studies of fig wasp host preferences, but together with floral scents they maintain host specificity among the pollinators of sympatric F. semicordata varieties. When pollinators enter atypical hosts, post-zygotic factors reduce but do not prevent the production of hybrid offspring, suggesting there may be gene flow between these varieties.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555521PMC
http://dx.doi.org/10.1093/aob/mcs250DOI Listing

Publication Analysis

Top Keywords

host specificity
12
floral scents
12
specificity
8
pollinator specificity
8
contact cues
8
fig wasps
8
wasps pollinate
8
figs
8
figs varieties
8
surface figs
8

Similar Publications

"Sichuanvirus", a novel bacteriophage viral genus, able to lyse carbapenem-resistant Klebsiella pneumoniae.

BMC Microbiol

January 2025

Center of Infectious Diseases, West China Hospital, Sichuan University, Guoxuexiang 37, Chengdu, 610041, China.

Background: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a severe threat for human health and urgently needs new therapeutic approaches. Lytic bacteriophages (phages) are promising clinically viable therapeutic options against CRKP. We attempted to isolate lytic phages against CRKP of sequence type 11 and capsular type 64 (ST11-KL64), the predominant type in China.

View Article and Find Full Text PDF

Engineering a cpGFP-based biosensor for enhanced quantification of glycolate production in Escherichia coli.

Talanta

January 2025

Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Tianjin University, 92 Weijin Road, Nankai District, Tianjin, 300072, China; Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300192, China. Electronic address:

The growing demand for glycolate, fueled by economic development, requires the advancement of production methods. Escherichia coli (E. coli), a preferred host for glycolate production, has undergone extensive metabolic engineering to improve yield.

View Article and Find Full Text PDF

PHIStruct: Improving phage-host interaction prediction at low sequence similarity settings using structure-aware protein embeddings.

Bioinformatics

January 2025

Bioinformatics Lab, Advanced Research Institute for Informatics, Computing and Networking, De La Salle University, Manila, 1004, Philippines.

Motivation: Recent computational approaches for predicting phage-host interaction have explored the use of sequence-only protein language models to produce embeddings of phage proteins without manual feature engineering. However, these embeddings do not directly capture protein structure information and structure-informed signals related to host specificity.

Results: We present PHIStruct, a multilayer perceptron that takes in structure-aware embeddings of receptor-binding proteins, generated via the structure-aware protein language model SaProt, and then predicts the host from among the ESKAPEE genera.

View Article and Find Full Text PDF

Microbial eukaryotes (aka protists) are known for their important roles in nutrient cycling across different ecosystems. However, the composition and function of protist-associated microbiomes remains largely elusive. Here, we employ cultivation-independent single-cell isolation and genome-resolved metagenomics to provide detailed insights into underexplored microbiomes and viromes of over 100 currently uncultivable ciliates and amoebae isolated from diverse environments.

View Article and Find Full Text PDF

Food web architecture and trophic interactions between organisms can be studied using ratios of naturally occurring stable isotopes of carbon (C/C) and nitrogen (N/N). Most studies, however, focused on free-living organisms, but recently, there has been growing interest in understanding trophic interactions of parasites. The crustacean ectoparasite is a well-studied parasite of freshwater teleost fish, which has low host specificity and a cosmopolitan distribution.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!