Western corn rootworm egg hatch and larval development under constant and varying temperatures

Wilstermann, Anne; Vidal, Stefan

doi:10.1007/s10340-013-0496-8

Cited by 14 publications

(6 citation statements)

References 48 publications

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“…Understanding the transcriptome is essential for interpreting the functional elements of the genome, for revealing the molecular constituents of cells and tissues, and for understanding complex biological processes such as growth, reproduction, and immune response [1] . Next-generation sequencing (NGS) technologies offer the opportunity to generate genome-wide sequence data sets for a reasonable cost and time [2] – [4] . Although these powerful and rapidly evolving technologies have only been available for a few years, they are already making substantial contributions to the understanding of genome expression and regulation under different conditions.…”

Section: Introductionmentioning

confidence: 99%

RNA-Seq Analysis Using De Novo Transcriptome Assembly as a Reference for the Salmon Louse Caligus rogercresseyi

2014

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Despite the economic and environmental impacts that sea lice infestations have on salmon farming worldwide, genomic data generated by high-throughput transcriptome sequencing for different developmental stages, sexes, and strains of sea lice is still limited or unknown. In this study, RNA-seq analysis was performed using de novo transcriptome assembly as a reference for evidenced transcriptional changes from six developmental stages of the salmon louse Caligus rogercresseyi. EST-datasets were generated from the nauplius I, nauplius II, copepodid and chalimus stages and from female and male adults using MiSeq Illumina sequencing. A total of 151,788,682 transcripts were yielded, which were assembled into 83,444 high quality contigs and subsequently annotated into roughly 24,000 genes based on known proteins. To identify differential transcription patterns among salmon louse stages, cluster analyses were performed using normalized gene expression values. Herein, four clusters were differentially expressed between nauplius I–II and copepodid stages (604 transcripts), five clusters between copepodid and chalimus stages (2,426 transcripts), and six clusters between female and male adults (2,478 transcripts). Gene ontology analysis revealed that the nauplius I–II, copepodid and chalimus stages are mainly annotated to aminoacid transfer/repair/breakdown, metabolism, molting cycle, and nervous system development. Additionally, genes showing differential transcription in female and male adults were highly related to cytoskeletal and contractile elements, reproduction, cell development, morphogenesis, and transcription-translation processes. The data presented in this study provides the most comprehensive transcriptome resource available for C. rogercresseyi, which should be used for future genomic studies linked to host-parasite interactions.

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Section: Introductionmentioning

confidence: 99%

RNA-Seq Analysis Using De Novo Transcriptome Assembly as a Reference for the Salmon Louse Caligus rogercresseyi

2014

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“…Of these factors, weather is generally considered to be one of the most important. For instance, temperature, rainfall, relative humidity and other weather-related factors can strongly affect the survival, development, fecundity and behavior of individual insects [1] , [2] , [3] , [4] , [5] , and the population dynamics of insects [6] , [7] , [8] , [9] . In addition to such direct effects, weather can indirectly impact insect populations by affecting life-history traits of their host plants, competitors, and natural enemies [10] , [11] , [12] .…”

Section: Introductionmentioning

confidence: 99%

Identification of the Key Weather Factors Affecting Overwintering Success of Apolygus lucorum Eggs in Dead Host Tree Branches

Pan

Liu

et al. 2014

PLoS ONE

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Understanding the effects of weather on insect population dynamics is crucial to simulate and forecast pest outbreaks, which is becoming increasingly important with the effects of climate change. The mirid bug Apolygus lucorum is an important pest on cotton, fruit trees and other crops in China, and primarily lays its eggs on dead parts of tree branches in the fall for subsequent overwintering. As such, the eggs that hatch the following spring are most strongly affected by ambient weather factors, rather than by host plant biology. In this study, we investigated the effects of three major weather factors: temperature, relative humidity and rainfall, on the hatching rate of A. lucorum eggs overwintering on dead branches of Chinese date tree (Ziziphus jujuba). Under laboratory conditions, rainfall (simulated via soaking) was necessary for the hatching of overwintering A. lucorum eggs. In the absence of rainfall (unsoaked branches), very few nymphs successfully emerged under any of the tested combinations of temperature and relative humidity. In contrast, following simulated rainfall, the hatching rate of the overwintering eggs increased dramatically. Hatching rate and developmental rate were positively correlated with relative humidity and temperature, respectively. Under field conditions, the abundance of nymphs derived from overwintering eggs was positively correlated with rainfall amount during the spring seasons of 2009–2013, while the same was not true for temperature and relative humidity. Overall, our findings indicate that rainfall is the most important factor affecting the hatching rate of overwintering A. lucorum eggs on dead plant parts and nymph population levels during the spring season. It provides the basic information for precisely forecasting the emergence of A. lucorum and subsequently timely managing its population in spring, which will make it possible to regional control of this insect pest widely occurring in multiple crops in summer.

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“…Egg development [DevE] is described similarly with the difference that the developmental rate beyond the temperature of maximum development decreases rather than stagnates (Schaafsma et al 1991 ). The development of each life stage is described by one parameter, respectively [ de, dl1, dl2, dl3 and dp ], which describes the relative development per hour and °C above the surrogate baseline temperature calculated from published data (Jackson and Elliott 1988 ; Levine et al 1992 ; Schaafsma et al 1991 ; Wilde et al 1972 ; Wilstermann and Vidal 2013 ).…”

Section: Methodsmentioning

confidence: 99%

“…The baseline temperature for egg development was set at 11 °C for all POPP-Corn simulations because this threshold temperature has been accepted by most authors (Schaafsma et al 1991 ); it should be noted that calibrated baseline temperatures reported in the literature for best fit prediction of egg hatch range between 10.8 to 13.8 °C (Wilde et al 1972 ; Jackson and Elliott 1988 ; Schaafsma et al 1991 ; Levine et al 1992 ; Wilstermann and Vidal 2013 ). All simulations were repeated 40 times, and average values of these repetitions are presented in all results.…”

Section: Methodsmentioning

confidence: 99%

Prediction of pest pressure on corn root nodes: the POPP-Corn model

et al. 2016

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A model for the corn rootworm Diabrotica spp. combined with a temporally explicit model for development of corn roots across the soil profile was developed to link pest ecology, root damage and yield loss. Development of the model focused on simulating root damage from rootworm feeding in accordance with observations in the field to allow the virtual testing of efficacy from management interventions in the future. We present the model and demonstrate its applicability for simulating root damage by comparison between observed and simulated pest development and root damage (assessed according to the node injury scale from 0 to 3) for field studies from the literature conducted in Urbana, Illinois (US), between 1991 and 2014. The model simulated the first appearance of larvae and adults to within a week of that observed in 88 and 71 % of all years, respectively, and in all cases to within 2 weeks of the first sightings recorded for central Illinois. Furthermore, in 73 % of all years simulated root damage differed by <0.5 node injury scale points compared to the observations made in the field between 2005 and 2014 even though accurate information for initial pest pressure (i.e. number of eggs in the soil) was not measured at the sites or available from nearby locations. This is, to our knowledge, the first time that pest ecology, root damage and yield loss have been successfully interlinked to produce a virtual field. There are potential applications in investigating efficacy of different pest control measures and strategies.Electronic supplementary materialThe online version of this article (doi:10.1007/s10340-016-0788-x) contains supplementary material, which is available to authorized users.

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Western corn rootworm egg hatch and larval development under constant and varying temperatures

Cited by 14 publications

References 48 publications

RNA-Seq Analysis Using De Novo Transcriptome Assembly as a Reference for the Salmon Louse Caligus rogercresseyi

RNA-Seq Analysis Using De Novo Transcriptome Assembly as a Reference for the Salmon Louse Caligus rogercresseyi

Identification of the Key Weather Factors Affecting Overwintering Success of Apolygus lucorum Eggs in Dead Host Tree Branches

Prediction of pest pressure on corn root nodes: the POPP-Corn model

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