Genomic Traces of the Fruit Fly Anastrepha obliqua Associated with Its Polyphagous Nature

Genome report: chromosome-scale genome assembly of the West Indian fruit fly Anastrepha obliqua (Diptera: Tephritidae)

The West Indian fruit fly, Anastrepha obliqua, is a major pest of mango in Central and South America and attacks more than 60 species of host fruits. To support current genetic and genomic research on A. obliqua, we sequenced the genome using high-fidelity long-read sequencing. This resulted in a highly contiguous contig assembly with 90% of the genome in 10 contigs. The contig assembly was placed in a chromosomal context using synteny with a closely related species, Anastrepha ludens, as both are members of the Anastrepha fraterculus group. The resulting assembly represents the five autosomes and the X chromosome which represents 95.9% of the genome, and 199 unplaced contigs representing the remaining 4.1%. Orthology analysis across the structural annotation sets of high quality tephritid genomes demonstrates the gene annotations are robust, and identified genes unique to Anastrepha species that may help define their pestiferous nature that can be used as a starting point for comparative genomics. This genome assembly represents the first of this species and will serve as a foundation for future genetic and genomic research in support of its management as an agricultural pest.

Comparative metatranscriptomics reveals effect of host plant on microbiota gene expression of Anastrepha obliqua (Diptera: Tephritidae) larvae

The microbiota associated with phytophagous insects perform several functions that help insects exploit plant resources. Thus, microorganisms contribute to the dispersal of phytophagous species to new host plants, thereby promoting diversification. In this study, metatranscriptomic analysis was used to compare the gene expression of the microbiome of Anastrepha obliqua Macquart larvae feeding on 3 of its host plants: Spondias purpurea L (red mombin), Mangifera indica L (mango), and Averrhoa carambola L (starfruit). To identify differential gene expression in relation to the host plant, transcript abundance was compared. The results of the taxonomic and functional beta-diversity analysis showed that there were significant differences in the structures and activities of the microbial communities depending on the infested plant. Among the microorganisms, bacteria and fungi were active components of the microbiota. Differential expression analyses showed that the different active genes in each of the plants analyzed were mainly grouped into categories related to carbohydrate and amino acid metabolism, with some of these genes coding for cytochrome o ubiquinol oxidase, cytochrome c, and the enzyme isocitrate dehydrogenase. The microbiota of A. carambola larvae differed more at the level of community structure and gene function, possibly due to the different nutritional composition of the A. carambola and the presence of a set of secondary metabolites specific to the family Oxalidaceae. In conclusion, the transcriptional activity of the microbiota of A. obliqua larvae is influenced by diet, which is important because it could influence the performance of the insect on each of its different host plants.

PoolParty2: An integrated pipeline for analysing pooled or indexed low-coverage whole-genome sequencing data to discover the genetic basis of diversity

Whole-genome sequencing data allow survey of variation from across the genome, reducing the constraint of balancing genome sub-sampling with estimating recombination rates and linkage between sampled markers and target loci. As sequencing costs decrease, low-coverage whole-genome sequencing of pooled or indexed-individual samples is commonly utilized to identify loci associated with phenotypes or environmental axes in non-model organisms. There are, however, relatively few publicly available bioinformatic pipelines designed explicitly to analyse these types of data, and fewer still that process the raw sequencing data, provide useful metrics of quality control and then execute analyses. Here, we present an updated version of a bioinformatics pipeline called PoolParty2 that can effectively handle either pooled or indexed DNA samples and includes new features to improve computational efficiency. Using simulated data, we demonstrate the ability of our pipeline to recover segregating variants, estimate their allele frequencies accurately, and identify genomic regions harbouring loci under selection. Based on the simulated data set, we benchmark the efficacy of our pipeline with another bioinformatic suite, angsd, and illustrate the compatibility and complementarity of these suites using angsd to generate genotype likelihoods as input for identifying linkage outlier regions using alignment files and variants provided by PoolParty2. Finally, we apply our updated pipeline to an empirical dataset of low-coverage whole genomic data from population samples of Columbia River steelhead trout (Oncorhynchus mykiss), results from which demonstrate the genomic impacts of decades of artificial selection in a prominent hatchery stock. Thus, we not only demonstrate the utility of PoolParty2 for genomic studies that combine sequencing data from multiple individuals, but also illustrate how it compliments other bioinformatics resources such as angsd.

Reduced-representation libraries in insect genetics

Genotyping-by-sequencing of reduced-representation libraries has ushered in an era where genome-wide data can be gotten for any species. Here, I review research on this topic during the last two years, report meta-analysis of the results, and discuss analysis methods and issues. Scanning the literature from 2021 to 2022 identified 21 papers, the majority of which were on population differences, including local adaptation and migration, but several papers were on genetic maps and their use in assembly scaffolding or analysis of quantitative trait loci, on the origin of incursions of pest insects, or on infection rates of a pathogen in a disease vector. The research reviewed includes 33 species from 25 families and 11 orders. Meta-analysis showed that less than 16%, and most often, less than 1% of the genome was implicated in local adaptation and that the number of adaptive loci correlated with genetic divergence among populations.

Nuclear genetic diversity and structure of Anastrepha ludens wild populations evidenced by microsatellite markers

The Mexican fruit fly, Anastrepha ludens, is an important pest that causes widespread damage to a number of fruit crops in Mexico. The sterile insect technique (SIT) is commonly used for its control. However, the existence of natural barriers can give rise to a population structure in neutral loci and possibly behavioral or adaptive traits that interfere with SIT. For this reason, it is important to understand the genetic diversity and structure of A. ludens populations and to better understand the evolutionary ecology and population processes in view of possible expansions and possible host shifts due to climate change. We genotyped nine nuclear DNA (nDNA) microsatellite loci among fruit fly populations collected from five biogeographic areas within Mexico, namely, the Mexican Plateau, the Northeastern Coastal Plain, the Pacific Coast, the Gulf Coast of Mexico, and the Soconusco, and a laboratory strain. The nuclear genetic diversity was moderate (from He = 0.34 to He = 0.39) within the wild mexfly population. We found that populations were clustered in three genetic groups (K = 3). The diversity and the genetic structure of A. ludens are determined by environmental and geological conditions, as well as local conditions like anthropogenic perturbation, which would produce population expansion and the existence of possible predators that would affect the population density. Gene flow showed recent migration among populations. The laboratory strain showed fewer diversity than the wild samples. Large values of current and ancestral population size suggest high resistance to climatic changes, probably due to biological attributes, such as its polyphagous, multivoltine, and high dispersal characteristics. In particular, ecosystem fragmentation and perturbation as well as the existence of new plant hosts would probably increase the abundance of flies.