Background: Chlorops oryzae is an important pest of rice crops. There have been frequent outbreaks of this pest in recent years and it has become the main rice pest in some regions. To elucidate the molecular mechanism of frequent C. oryzae outbreaks, we estimated the genetic diversity and genetic differentiation of 20 geographical populations based on a dataset of ISSR markers and COI sequences.Results: ISSR data revealed a high level of genetic diversity among the 20 populations as measured by Shannon's information index (I), Nei's gene diversity (H), and the percentage of polymorphic bands (PPB). The mean coefficient of gene differentiation (Gst) was 0.0997, which indicates that only 9.97% genetic variation is between populations. The estimated gene flow (Nm) value was 4.5165, indicating a high level of gene flow and low, or medium, genetic differentiation among some populations. The results of a Mantel test revealed no significant correlation between genetic and geographic distance among populations, which means there is no evidence of significant genetic isolation by distance. An UPGMA (unweighted pair-group method with arithmetic averages) dendrogram based on genetic identity, did not indicate any major geographic structure for the 20 populations examined. mtDNA COI data indicates low nucleotide (0.0007) and haplotype diversity (0.36) in all populations. Fst values suggest that the 20 populations have low, or medium, levels of genetic differentiation. And the topology of a Neighbor-Joining tree suggests that there are no independent groups among the populations examined.
Conclusions:Our results suggest that C. oryzae populations have high genetic diversity at the species level. There is evidence of frequent gene flow and low, or medium, levels of genetic differentiation among some populations. There is no significant correlation between genetic and geographic distance among C. oryzae populations, and therefore no significant isolation by distance. All results are consistent with frequent gene exchange between populations, which could increase the genetic diversity, and hence, adaptability of C. oryzae, thereby promoting frequent outbreaks of this pest. Such knowledge may provide a scientific basis for predicting future outbreaks.
Reverse transcription quantitative polymerase chain reaction (PCR) has become an invaluable technique for analyzing gene expression in many insects. However, this approach requires the use of stable reference genes to normalize the data. Chlorops oryzae causes significant economic damage to rice crops throughout Asia. The lack of suitable reference genes has hindered research on the molecular mechanisms underlying many physiological processes of this species. In this study, we used quantitative real-time PCR to evaluate the expression of eight C. oryzae housekeeping genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), β-actin (βACT), beta-tubulin (βTUB), Delta Elongation factor-1 (EF1δ), ribosomal protein S11 (RPS11), RPS15, C-terminal-Binding Protein (CtBP), and ribosomal protein 49 (RP49) in different developmental stages and tissues in both larvae and adults. We analyzed the data with four different software packages: geNorm, NormFinder, BestKeeper, and RefFinder and compared the results obtained with each method. The results indicate that PRS15 and RP49 can be used as stable reference genes for quantifying gene expression in different developmental stages and larval tissues. GAPDH and βACT, which have been considered stable reference genes by previous studies, were the least stable of the candidate genes with respect to larval tissues. GAPDH was, however, the most stable reference gene for adult tissues. We verified the candidate reference genes identified and found that the expression levels of Cadherins (Cads) changed when different reference genes were used to normalize gene expression. This study provides a valuable foundation for future research on gene function, and investigating the molecular basis of physiological processes, in C. oryzae.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.