Insensitive trypsins are differentially transcribed during Spodoptera frugiperda adaptation against plant protease inhibitors.

0The fall armyworm (Spodoptera frugiperda) is an important pest insect due to high degree of polyphagia. In order to better understand its adaptation mechanism against plant protease inhibitors, bioassays were carried supplementing diet with the Kunitz trypsin inhibitor from Entada acaciifolia seeds (EATI). In vitro assays showed an increase of proteolytic activity in EATI-fed larvae midgut. Moreover, the trypsin enzymes showed insensitivity to inhibition with EATI. In order to understand what genes were overexpressed after chronic exposition to EATI, quantitative RT-PCR analyses were performed and revealed an increase in transcription of two trypsin genes, suggesting its participation in insensitivity of midgut trypsins. Another important result was the expression of one chymotrypsin gene, which is not expressed in control fed-larvae but induced in EATI-fed larvae. New regions of higher molecular weight showing proteolytic activity were visualized in inhibitor-fed larvae by zymography gel electrophoresis, proposing that the new enzymes expressed in response of inhibitor dietary would be formatting oligomers. This is a characteristic also observed in other pest insects that adapt to feed in plant protease inhibitors diet. Additional assays revealed that trypsins from EATI-fed larvae also became insensitive against Kunitz and Bowman-Birk inhibitors from soybean. This result suggests a possible involvement of the same S. frugiperda genes in adaptation against Kunitz and Bowman-Birk inhibitors in their host plants.

Molecular variability of Spodoptera frugiperda (Lepidoptera: Noctuidae) populations associated to maize and cotton crops in Brazil.

The molecular variability among 10 populations of Spodoptera frugiperda (J.E. Smith), collected from maize, Zea mays L., or cotton Gossypium hirsutum L. crops located at distinctive geographical regions in Brazil, was assessed through random amplification of polymorphic DNA (RAPD)-polymerase chain reaction (PCR). In total, 208 RAPD markers were evaluated, and 98% of them were polymorphic. The mean genetic similarity was 0.6621 and 0.2499 by the Simple Matching and Jaccard matrices, respectively. In general, the unweighted pair-group method with arithmetic average dendrograms separated the populations into clusters related to the geographical origin of the samples. No branch of the dendrograms underpinning a molecular association of S. frugiperda has been identified to either of the two host plants. The molecular variance analysis showed that 18 and 82% of the genetic variation was distributed among and within the groups of populations, respectively. The principal coordinate analysis reinforced the pattern of population clustering found with the unweighted pair-group method with arithmetic average method. These results suggest the occurrence of considerable gene flow between S. frugiperda populations from maize and cotton fields located in the same region in Brazil. Therefore, for an effective management of this pest, there is an urgent need for a better understanding of the gene flow of S. frugiperda populations associated to different host plants along the distribution range of this pest over time in a specific cropping system.