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Identification of diapause-associated proteins in migratory locust, Locusta migratoria L. (Orthoptera: Acridoidea) by label-free quantification analysis
CUI Dong-nan, TU Xiong-bing, HAO Kun, Aftab Raza, CHEN Jun, Mark McNeill, ZHANG Ze-hua
2019, 18 (11): 2579-2588.   DOI: 10.1016/S2095-3119(19)62607-9
Abstract111)      PDF in ScienceDirect      
Maternal photoperiodic response is a key factor that affects offspring diapause in migratory locust, Locusta migratoria L. (Orthoptera: Acridoidea).  Although many aspects of insect diapause have been studied, little is known about the molecular mechanisms of maternal photoperiodic response that influence diapause regulation.  To gain insight into the possible mechanisms of maternal photoperiod influence on diapause regulation, proteomics data by label-free quantification analysis were generated from non-diapause and diapause eggs.  A total of 175 proteins were differentially expressed between diapause and non-diapause eggs.  Among them, 24 proteins were upregulated, and 151 proteins were downregulated.  Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichments were performed on all differentially expressed proteins (DEPs) and showed that peroxisome, insect hormone biosynthesis, and longevity regulating pathway may be related to diapause of migratory locust.  Furthermore, we used qRT-PCR to verify some results of the proteomic analysis.  Proteins such as hexamerin-like protein 4, juvenile hormone epoxide hydrolase 1
(JHEH1), cytochrome P450 and heat shock protein (HSP) 20.7 were predicted to be involved in diapause.  This study provides an important reference for future research that will explore the mechanisms of diapause induced by maternal effects in migratory locust.
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Including predator presence in a refined model for assessing resistance of alfalfa cultivar to aphids
TU Xiong-bing, FAN Yao-li, Mark McNeill, ZHANG Ze-hua
2018, 17 (2): 397-405.   DOI: 10.1016/S2095-3119(17)61708-8
Abstract691)      PDF in ScienceDirect      
The aphid quantity ratio (AQR) is defined as the number of aphids on each cultivar divided by the number of aphids on all cultivars.  AQR is based on the correlation between aphid populations and their host plants and is an important tool that has been utilized in evaluating Medicago sativa (alfalfa) cultivar resistance to aphids.  However, assessment of alfalfa resistance to aphids can be confused by the presence of aphid predators, causing the assessment of plant resistance to aphids to be based on incorrect aphid population data.  To refine the AQR and account for the effect of predators on aphid population assessments, we introduced a parameter ‘α’, corresponding to the predator quantity ratio, and used αAQR as the ratio to quantify aphid populations.  Populations of both aphids (4 species) and their predators (12 species) occurring in 28 M. sativa cultivars were sampled over two years at a research station near Cangzhou, Hebei Province, China.  Results showed that the most suitable evaluation period was from May to June, as the aphid population was stable during this period.  Compared with the AQR method, the predator population numbers based on the αAQR had a significant inverse relationship with aphid population numbers and the 28 cultivars were clustered into three classes: the resistant class, tolerant class, and susceptible class.  In addition, 17 cultivars were reassigned when evaluated using αAQR.  All numerical values calculated by αAQR were displayed as a Gaussian distribution, which showed that the 28 cultivars could be clustered into nine groups using a median value (±SE) of 1±0.1.  Hence, ongoing alfalfa breeding trials will be assessed using the αAQR to establish a robust system that includes agronomic performance parameters in order to generalize the new method for further studies.
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