Acrididae are diverse in size, body shape, behavior, ecology and life history; widely distributed; easy to collect; and important to agriculture. they represent promising model candidates for functional genomics, but their extremely large genomes have hindered this research; establishing a reference transcriptome for a species is the primary means of obtaining genetic information. Here, two Acrididae species, Gomphocerus licenti and Mongolotettix japonicus, were selected for full-length (fL) pacBio transcriptome sequencing. for G. licenti and M. japonicus, respectively, 590,112 and 566,165 circular consensus sequences (CCS) were generated, which identified 458,131 and 428,979 full-length nonchimeric (fLnc) reads. After isoform-level clustering, next-generation sequencing (nGS) short sequences were used for error correction, and remove redundant sequences with cD-Hit, 17,970 and 16,766 unigenes were generated for G. licenti and M. japonicus. in addition, we obtained 17,495 and 16,373 coding sequences, 1,082 and 813 transcription factors, 11,840 and 10,814 simple sequence repeats, and 905 and 706 long noncoding RNAs by analyzing the transcriptomes of G. licenti and M. japonicus, respectively, and 15,803 and 14,846 unigenes were annotated in eight functional databases. This is the first study to sequence FL transcriptomes of G. licenti and M. japonicus, providing valuable genetic resources for further functional genomics research. One important goal of functional genomics is to establish relationships between genotypes and phenotypes based on genomic sequence information and various omics techniques 1. The rapid development of high-throughput sequencing technology has greatly facilitated the study of functional genomics, especially the completion of genome sequencing of a large number of species 2-5. However, genome assembly is difficult in species with large genomes, especially those with high heterozygosity and regions with high repeat content 6. Overall, genomic approaches to genotype-phenotype association in species with large genomes still face major challenges. Transcriptomics focuses on the transcribed portion of the genome by sequencing cDNA rather than genomic DNA, thus reducing the size of the sequencing target space, and can be viewed as an alternative to genomic approaches 7. Furthermore, a unique feature of transcriptomics is that it can quantify changes in expression level for each gene among different transcriptome samples. As a low-cost next-generation sequencing (NGS) technology, RNA sequencing (RNA-seq) has become a mainstream tool for studying transcriptomics 8. At present, RNAseq is widely used not only for gene expression profiling, genome annotation and noncoding RNA prediction and quantification but also to gain deep insight into the level of gene expression, the structure of genomic loci, and the sequence variation present at loci (e.g., SNPs) 7. RNA-seq has revolutionized the field of transcriptomics and improved our understanding of genome expression and regulation. Although RNA-seq has bee...