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Yainna, S.

Publications and source records attributed to Yainna, S..

2 recordsLinked to original sources

Nested PCR to optimize rpoB metabarcoding for low-concentration and host-associated bacterial DNA

BackgroundHousekeeping genes have proved effective taxonomic markers for characterizing bacterial microbiota in short-read amplicon metabarcoding studies. A region of the rpoB gene, in particular, has been shown to minimize OTU overestimation bias with a high degree of accuracy, providing better species-level taxonomic resolution (Ogier et al. BMC Microbiol. 19:171). However, the primers for rpoB are highly degenerate, leading to potential problems in the amplification of bacterial DNA present at low concentration in the sample or embedded within eukaryotic matrices, as for the host-associated microbiota. We addressed these limitations by using a two-step PCR approach to optimize the rpoB procedure. The first PCR amplifies a 906-nucleotide region of the rpoB gene with the classical primers, referred to here as outer primers, and the second PCR then uses primers incorporating Illumina adapters, referred to here as inner primers, to amplify a 435-nucleotide subregion, the taxonomic marker for metabarcoding. ResultsWe first used in silico approaches to evaluate the universality of the outer and inner rpoB primers. We then tested the nested rpoB PCR method on commercial mock samples of known composition. The nested PCR approach increased amplification efficiency for dilute samples without biasing the bacterial composition of the mock sample revealed by metabarcoding relative to single-step PCR. We also tested the nested rpoB PCR method on field-collected samples of the lepidopteran Spodoptera frugiperda. The nested PCR outperformed single-step PCR, increasing amplification efficiency for bacterial DNA present at low concentrations (oral secretions from S. frugiperda) or embedded in eukaryotic DNA matrices (S. frugiperda larvae). ConclusionsThis method provides a promising new strategy for characterizing insect-associated microbiota that can also be applied to other host microbiomes.

microbiology↗

Genomic balancing selection is key to the invasive success of the fall armyworm

A successful biological invasion involves survival in a newly occupied environment. If a population bottleneck occurs during an invasion, the resulting depletion of genetic variants could cause increased inbreeding depression and decreased adaptive potential, which may result in a fitness reduction. How invasive populations survive in the newly occupied environment despite reduced heterozygosity and how, in many cases, they maintain moderate levels of heterozygosity are still contentious issues1. The Fall armyworm (FAW; Lepidoptera: Spodoptera frugiperda), a polyphagous pest, is native to the Western hemisphere. Its invasion in the Old World was first reported from West Africa in early 2016, and in less than four years, it swept sub-Saharan Africa and Asia, finally reaching Australia. We used population genomics approaches to investigate the factors that may explain the invasive success of the FAW. Here we show that genomic balancing selection played a key role in invasive success by restoring heterozygosity before the global invasion. We observe a drastic loss of mitochondrial polymorphism in invasive populations, whereas nuclear heterozygosity exhibits a mild reduction. The population from Benin in West Africa has the lowest length of linkage disequilibrium amongst all invasive and native populations despite its reduced population size. This result indicates that balancing selection increased heterozygosity by facilitating the admixture of invasive populations from distinct origins and that, once heterozygosity was sufficiently high, FAW started spreading globally in the Old World. As comparable heterozygosity levels between invasive and native populations are commonly observed1, we postulate that the restoration of heterozygosity through balancing selection could be widespread among successful cases of biological invasions.

evolutionary biology↗