Description and phylogeny of a new microsporidium from the elm leaf beetle, Xanthogaleruca luteola Muller, 1766 (Coleoptera: Chrysomelidae).

Parasitol Res

United States Department of Agriculture, Agriculture Research Service, Center for Medical, Agricultural and Veterinary Entomology (CMAVE), 1600 SW 23rd Drive, Gainesville, FL, USA.

Published: February 2017

This study describes a new genus and species of microsporidia which is a pathogen of the elm leaf beetle, Xanthogaleruca luteola Muller, 1776 (Coleoptera: Chrysomelidae). The beetles were collected from Istanbul in Turkey. All developmental stages are uninucleate and in direct contact with the host cell cytoplasm. Giemsa-stained mature spores are oval in shape and measured 3.40 ± 0.37 μm in length and 1.63 ± 0.20 μm in width. These uninucleate spores have an isofilar polar filament with 11 turns. The spore wall was trilaminar (75 to 115 nm) with a rugose, electron-dense exospore (34 to 45 nm) and a thickened, electron-lucent endospore (65 to 80 nm) overlaying the plasmalemma. Morphological, ultrastructural, and molecular features indicate that the described microsporidium is dissimilar to all known microsporidian taxa and confirm that it has different taxonomic characters than other microsporidia infecting X. luteola and is named here as Rugispora istanbulensis n. gen., n. sp.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00436-016-5349-yDOI Listing

Publication Analysis

Top Keywords

elm leaf
8
leaf beetle
8
beetle xanthogaleruca
8
xanthogaleruca luteola
8
luteola muller
8
coleoptera chrysomelidae
8
description phylogeny
4
phylogeny microsporidium
4
microsporidium elm
4
muller 1766
4

Similar Publications

Electrophysiological and Behavioral Responses of (Coleoptera: Curculionidae) to Plant Volatiles.

Plants (Basel)

December 2024

Key Laboratory Biological Crop Pathogens & Insects Zhejiang Pro, State Key Laboratory Rice Biology, Institute Insect Science, Zhejiang University, Hangzhou 310058, China.

The flea-weevil Korotyaev (Coleoptera: Curculionidae) is an Eastern Palaearctic Steppe species, and a serious pest of elm trees ( spp., Ulmaceae) by feeding on the leaves (adults) or mining them heavily (larvae) in Xinjiang, China. In order to search for chemical and ecological pest management practices, the olfactory preferences of for leaves of three elm species were investigated.

View Article and Find Full Text PDF

In recent years, image processing technology has been increasingly studied on intelligent unmanned platforms, and the differences in the shooting environment during tobacco baking pose challenges to image processing algorithms. To address this problem, an ensemble multi-dimensional randomization network (EMRNet) for intelligent recognition of tobacco baking stage is proposed. The first is to obtain the tobacco leaf area during the baking process.

View Article and Find Full Text PDF

Identification of copper and lead pollution elements based on spectra of corn leaves in different leaf layers.

Spectrochim Acta A Mol Biomol Spectrosc

March 2025

College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

With the development of industrialization, environmental heavy metal pollution has become increasingly serious, and the growth of crops has been seriously affected by heavy metal pollution in the soil environment. Therefore, it is necessary to establish methods for distinguishing and monitoring heavy metal pollution. The application of hyperspectral remote sensing in heavy metal pollution monitoring demonstrates the great potential of using crop leaf spectra to accurately distinguish heavy metal pollution elements.

View Article and Find Full Text PDF
Article Synopsis
  • Key European tree species are predicted to shrink their habitats due to climate change, highlighting the importance of assessing other native species that can take over their ecological roles.
  • The study evaluated 20 temperate forest tree species in Europe, categorizing them into non-threatened, partially threatened, and most threatened groups based on projected range shifts by 2041-2060 and 2061-2080 under various climate scenarios.
  • Findings suggest that certain functional traits of trees, like height and leaf characteristics, influence how much their ranges might contract, with significant declines expected for some species sooner than previously anticipated.
View Article and Find Full Text PDF

Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification.

PLoS One

December 2024

School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, Tamil Nādu, India.

Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges from various sources, including environmental (abiotic stress) and biological (biotic stress or disease) threats, which adversely impact the crop's growth, reproduction, and overall yield potential. The objective of this work is to build deep learning based lightweight convolutional neural network (CNN) architecture for the real-time classification of biotic stress in tomato plant leaves. This model proposes to address the drawbacks of conventional CNNs, which are resource-intensive and time-consuming, by using optimization methods that reduce processing complexity and enhance classification accuracy.

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!