4.6 Article

Differential phenotypic and genetic expression of defence compounds in a plant-herbivore interaction along elevation

期刊

ROYAL SOCIETY OPEN SCIENCE
卷 3, 期 9, 页码 -

出版社

ROYAL SOC
DOI: 10.1098/rsos.160226

关键词

cyanogenic glycosides; elevation gradient; gene expression; Lotus corniculatus; predation; Zygaena filipendulae

资金

  1. Swiss National Science Foundation [PP00P3_144870]
  2. Swiss National Science Foundation (SNF) [PP00P3_144870] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

Elevation gradients impose large differences in abiotic and biotic conditions over short distances, in turn, likely driving differences in gene expression more than would genetic variation per se, as natural selection and drift are less likely to fix alleles at such a narrow spatial scale. As elevation increases, the pressure exerted on plants by herbivores and on arthropod herbivores by predators decreases, and organisms spanning the elevation gradient are thus expected to show lower levels of defence at high elevation. The alternative hypothesis, based on the optimal defence theory, is that defence allocation should be higher in low-resource habitats such as those at high elevation, due to higher costs associated with tissue replacement. In this study, we analyse variation with elevation in (i) defence compound content in the plant Lotus corniculatus and (ii) gene expression associated with defence against predators in the specific phytophagous moth, Zygaena filipendulae. Both species produce cyanogenic glycosides (CNglcs) such as lotaustralin and linamarin as defence mechanisms, with the moth, in addition, being able to sequester CNglcs from its host plant. Specifically, we tested the assumption that the defence-associated phenotype in plants and the gene expression in the insect herbivore should covary between low-and high-elevation environments. We found that L. corniculatus accumulated more CNglcs at high elevation, a result in agreement with the optimal defence theory. By contrast, we found that the levels of expression in the defence genes of Z. filipendulae larvae were not related to the CNglc content of their host plant. Overall, expression levels were not correlated with elevation either, with the exception of the UGT33A1 gene, which showed a marginally significant trend towards higher expression at high elevation when using a simple statistical framework. These results suggest that the defence phenotype of plants against herbivores, and subsequent herbivore sequestration machineries and de novo production, are based on a complex network of interactions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Spectroscopy

Eight key rules for successful data-dependent acquisition in mass spectrometry-based metabolomics

Emmanuel Defossez, Julien Bourquin, Stephan Reuss, Sergio Rasmann, Gaetan Glauser

Summary: Metabolomics has become a pivotal approach for analyzing metabolites in biological systems, allowing for a deeper understanding of the relationship between biochemical processes and physiological conditions. Targeted and untargeted mass spectrometry methods are commonly used, with data-dependent acquisition (DDA) offering the potential for improved metabolite assignment in untargeted metabolomics. However, DDA settings are more complex and prone to errors compared to data-independent acquisition (DIA).

MASS SPECTROMETRY REVIEWS (2023)

Article Evolutionary Biology

Temperature-Dependent Evolutionary Speed Shapes the Evolution of Biodiversity Patterns Across Tetrapod Radiations

A. Skeels, W. Bach, O. Hagen, W. Jetz, L. Pellissier

Summary: This study uses an eco-evolutionary simulation model to test whether evolutionary speed can explain the relationship between energy and biodiversity. The results show that a model with temperature-dependent rates of speciation received the strongest support. Through process-based modeling, the study disentangles the causes behind empirical biodiversity patterns.

SYSTEMATIC BIOLOGY (2023)

Article Chemistry, Multidisciplinary

Silicon Nanodots Increase Plant Resistance against Herbivores by Simultaneously Activating Physical and Chemical Defenses

Zhenggao Xiao, Ningke Fan, Wenqing Zhu, Hai-Long Qian, Xiu-Ping Yan, Zhenyu Wang, Sergio Rasmann

Summary: The application of nanosilicon has been found to enhance plant defenses against various stresses. Silicon quantum nanodots, with their unique biological and physiochemical properties, show promise in regulating plant responses to stress. By studying maize, it was observed that the addition of Si NDs and sodium silicate effectively inhibited the growth of caterpillars and activated defense genes. Field experiments also demonstrated the potential of Si NDs in increasing maize yield. These findings suggest that Si NDs can be an effective and ecofriendly crop protection strategy in agroecosystems.

ACS NANO (2023)

Article Ecology

L-DOPA functions as a plant pheromone for belowground anti-herbivory communication

Pasquale Cascone, Jozsef Vuts, Michael A. Birkett, Sarah Dewhirst, Sergio Rasmann, John A. Pickett, Emilio Guerrieri

Summary: This study found that plants can communicate belowground by releasing the non-protein amino acid L-DOPA, which triggers the production of volatile organic compounds in neighboring plants. The study also discovered that healthy plants exposed to L-DOPA become highly attractive to aphid parasitoids, resembling infested plants. Therefore, L-DOPA acts as both a brain neurotransmitter precursor and an immune enhancer in plants.

ECOLOGY LETTERS (2023)

Article Ecology

Eco-physiological and morphological traits explain alpine plant species' response to warming

Kristiina Visakorpi, Sebastian Block, Loic Pellissier, Jonathan M. Levine, Jake Alexander

Summary: Understanding the traits that affect species' responses to climate change is crucial for predicting future community composition and ecosystem function. While easily measured morphological traits can successfully predict plant abundance responses to climate, eco-physiological approaches are needed to understand the underlying mechanisms.

FUNCTIONAL ECOLOGY (2023)

Article Biochemistry & Molecular Biology

Plant genetic relatedness and volatile-mediated signalling between Solanum tuberosum plants in response to herbivory by Spodoptera exigua

Lucia Martin-Cacheda, Carla Vazquez-Gonzalez, Sergio Rasmann, Gregory Roder, Luis Abdala-Roberts, Xoaquin Moreira

Summary: This study tested whether airborne signalling in response to herbivory between potato plants is contingent on plant genetic relatedness, and investigated genotypic variation in VOCs potentially underlying signalling and its contingency on relatedness. The results showed that herbivory drove changes in VOC composition but not total emissions, and there was quantitative and qualitative variation in constitutive and induced VOC emissions among varieties. The signalling effect was not contingent on plant genetic relatedness despite genotypic variation in induced VOCs.

PHYTOCHEMISTRY (2023)

Article Agronomy

Direct antagonistic effect of entomopathogenic nematodes and their symbiotic bacteria on root-knot nematodes migration toward tomato roots

Jingjing Li, Yang Li, Xianqin Wei, Yonghe Cui, Xinghui Gu, Xingyue Li, Toyoshi Yoshiga, Mahfouz M. M. Abd-Elgawad, David Shapiro-Ilan, Weibin Ruan, Sergio Rasmann

Summary: This study evaluated the effects of entomopathogenic nematodes (EPNs) on the negative interactions between EPNs and root-knot nematodes (RKNs) in the rhizosphere. The results showed that the placement of EPNs between RKNs and roots inhibited the movement of RKNs towards the roots. Additionally, different components of the EPNs/bacterial complex, such as bacteria and the cell-free supernatant produced by the bacterial culture, also displayed inhibitory effects on RKNs. Therefore, the EPNs/bacterial complex could be used for RKN control and reduce the application costs in integrated pest management practices.

PLANT AND SOIL (2023)

Article Plant Sciences

Effect of herbivore load on VOC-mediated plant communication in potato

Carla Vazquez-Gonzalez, Violeta Quiroga, Lucia Martin-Cacheda, Sergio Rasmann, Gregory Roder, Luis Abdala-Roberts, Xoaquin Moreira

PLANTA (2023)

Article Robotics

Drone-assisted collection of environmental DNA from tree branches for biodiversity monitoring

Emanuele Aucone, Steffen Kirchgeorg, Alice Valentini, Loic Pellissier, Kristy Deiner, Stefano Mintchev

Summary: The protection and restoration of the biosphere is crucial, but the lack of data on biodiversity status and distribution poses a risk. This study proposes using a drone equipped with a force-sensing cage and haptic-based control strategy to sample environmental DNA (eDNA) from the outer branches of trees. The drone can autonomously land on branches of various stiffness and successfully detect animal species in the natural environment. Combining robotics with eDNA sampling offers a solution for broad-scale monitoring of biodiversity.

SCIENCE ROBOTICS (2023)

Article Agronomy

Soil properties and plant species can predict population size and potential introduction sites of the endangered orchid Cypripedium calceolus

Olivia Rusconi, Theo Steiner, Claire Le Bayon, Sergio Rasmann

Summary: To restore populations of threatened species, conservation actions need to be undertaken in suitable habitats. A study on the endangered Cypripedium calceolus orchid found that the composition of surrounding plant communities and soil characteristics significantly influenced its population performance, providing valuable information for reintroduction efforts.

PLANT AND SOIL (2023)

Article Biochemistry & Molecular Biology

New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data

Letizia Lamperti, Theophile Sanchez, Sara Si Moussi, David Mouillot, Camille Albouy, Benjamin Fluck, Morgane Bruno, Alice Valentini, Loic Pellissier, Stephanie Manel

Summary: Environmental DNA (eDNA) metabarcoding is an efficient method for documenting biodiversity patterns. This study presents two new deep learning-based methods that use neural networks to ordinate eDNA samples and visualize ecosystem properties. These methods effectively represent biodiversity indicators in a two-dimensional space, outperforming traditional dimension reduction methods.

MOLECULAR ECOLOGY RESOURCES (2023)

Article Multidisciplinary Sciences

The geography of climate and the global patterns of species diversity

Marco Tulio P. Coelho, Elisa Barreto, Thiago F. Rangel, Jose Alexandre F. Diniz-Filho, Rafael O. Wuest, Wilhelmine Bach, Alexander Skeels, Ian R. McFadden, David W. Roberts, Loic Pellissier, Niklaus E. Zimmermann, Catherine H. Graham

Summary: This study reveals that the size and fragmentation of climate conditions play a crucial role in biodiversity and species turnover among terrestrial tetrapods. By considering both climate characteristics and its geographic attributes, we can explain almost 90% of global species richness variation, with half of the explanatory power attributed to climate or the geography of climate.

NATURE (2023)

Article Plant Sciences

Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains

Yaquan Chang, Katrina Gelwick, Sean D. Willett, Xinwei Shen, Camille Albouy, Ao Luo, Zhiheng Wang, Niklaus E. Zimmermann, Loic Pellissier

Summary: The geographic distribution of plant diversity matches the gradient of habitat heterogeneity. The associations between species richness and habitat heterogeneity were investigated at the scales of Eurasia and the Hengduan Mountains in China using species distribution models. High environmental heterogeneity provides suitable conditions for the diversification of lineages in the Hengduan Mountains, but other mechanisms, such as the complex geological history, may have contributed to shaping the exceptional biodiversity hotspot.

NEW PHYTOLOGIST (2023)

Article Ecology

Combining environmental DNA with remote sensing variables to map fish species distributions along a large river

Shuo Zong, Jeanine Brantschen, Xiaowei Zhang, Camille Albouy, Alice Valentini, Heng Zhang, Florian Altermatt, Loic Pellissier

Summary: Biodiversity loss in river ecosystems is more severe than in terrestrial systems, and spatial conservation and restoration plans are needed. However, high-resolution maps of fish distribution in large riverine systems are limited. A combination of remote sensing and environmental DNA (eDNA) can be used to map species distributions in large rivers.

REMOTE SENSING IN ECOLOGY AND CONSERVATION (2023)

Article Zoology

Delimiting phylogeographic diversity in the genomic era: application to an Iberian endemic frog

Christophe Dufresnes, Johanna Ambu, Pedro Galan, Fernando Sequeira, Leticia Viesca, Magdalena Choda, David Alvarez, Berenice Alard, Tomasz Suchan, Sven Kuenzel, Inigo Martinez-Solano, Miguel Vences, Alfredo Nicieza

Summary: Using genomic markers, mitochondrial DNA barcoding, and morphometric analyses, this study examined the lineage diversity and distribution of the Iberian endemic frog, Rana parvipalmata. Two distinct lineages were identified, one genetically homogenous in Asturias and adjacent areas (T2), and one more fragmented and genetically impoverished in Galicia (T1). Analysis of their hybrid zone suggested a shallow transition characterized by far-reaching admixture, without obvious barrier loci. The study highlights the importance of genomic-based phylogeographic frameworks in understanding genetic and phenotypic variation and supporting taxonomic assessment.

ZOOLOGICAL JOURNAL OF THE LINNEAN SOCIETY (2023)

暂无数据