Table 3.
Genes of interest that show significant transcript level changes in the resistant larvae midgut.
| Gene ID | Length (bp) | Aedes ID | Annotation a | Log2b | Qvalue |
|---|---|---|---|---|---|
| ALP | |||||
| Unigene20119 | 1702 | AAEL003286-RA | alkaline phosphatase | 5.16 | 0.84 |
| Unigene13559 | 1839 | AAEL015070-RA | alkaline phosphatase | −3.06 | 0.84 |
| CL1409.Contig1 | 1754 | AAEL013330-RA | alkaline phosphatase | −4.23 | 0.86 |
|
| |||||
| APN | |||||
| CL4769.Contig1 | 3393 | AAEL008162-RA | protease m1 zinc metalloprotease | −2.26 | 0.81 |
| CL226.Contig1 | 3059 | AAEL008158-RA | protease m1 zinc metalloprotease | −2.33 | 0.81 |
| ABC transporter | |||||
|
| |||||
| CL1116.Contig2 | 269 | AAEL013833-RA | ATP-binding cassette transporter | −3.25 | 0.84 |
| CL3352.Contig1 | 436 | AAEL012700-RA | ATP-binding cassette sub-family A member 3 | −3.38 | 0.81 |
|
| |||||
| Kinase | |||||
| Unigene12551 | 327 | AAEL009937-RB | calcium/calmodulin-dependent serine protein kinase membrane-associated guanylate kinase | 12.5 | 0.94 |
| Unigene1877 | 467 | AAEL001442-RA | map-kinase activating death domain protein | 5.06 | 0.85 |
|
| |||||
| Protease | |||||
| Unigene17070 | 263 | AAEL005753-RA | serine protease | 12.3 | 0.93 |
| Unigene5390 | 509 | AAEL007938-RA | serine-type enodpeptidase | 4.33 | 0.88 |
| CL78.Contig1 | 1654 | AAEL006627-RA | serine-type enodpeptidase | 2.47 | 0.82 |
| CL850.Contig2 | 2524 | AAEL014658-RA | caspase-1 | 2.47 | 0.81 |
| Unigene15049 | 1148 | AAEL005616-RA | trypsin | −2.32 | 0.81 |
| Unigene17749 | 681 | AAEL008093-RA | trypsin | −2.97 | 0.81 |
| Unigene17807 | 986 | AAEL015036-RA | protease S51 alpha-aspartyl dipeptidase | −3.39 | 0.82 |
| CL2452.Contig1 | 867 | AAEL008782-RA | serine-type enodpeptidase | −4.55 | 0.83 |
A total of 583 genes were found to be significantly up-regulated (375 genes) or down-regulated (208 genes). See table S4 for additional details.
All sequence reads were assembled using de novo transcriptome assembly and the identified genes were functionally annotated using blastX (Evalue < 0.0001) with a variety of databases including Gene Ontology, Nr, KeGG, SwissProt, COG as well as the Ae. aegypti genome, Aedes-aegypti-Liverpool_TRANSCRIPTS_AaegL1.3.fa.gz (https://www.vectorbase.org) (Nene et al., 2007).
Gene expression levels were calculated from RNA seq data using the FPKM method (Fragments Per kb per Million fragments): FPKM = (1,000,000*C)/(N*L*1,000) where, FPKM(A) to be the expression of gene A; C to be number of fragments that uniquely aligned to gene A; N to be total number of fragments that uniquely aligned to all genes; L to be number of bases on gene A. Differential gene expression were analyzed with significantly expressed genes (Qvalue > 0.8) between each groups using the NOISeq method .