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In the realm of genome assembly, even minor errors can send researchers down to rabbit holes of unintended misinterpretation. Enter Klumpy—a tool designed to help detecting these elusive mistakes before they cause significant problems. By providing detailed, region‐specific assessments and an intuitive visualisation platform, Klumpy (Madrigal, et al. 2024) empowers researchers to pinpoint and resolve potential issues with precision, paving the way for more reliable downstream analyses and discoveries. [ABSTRACT FROM AUTHOR]

PCR‐based high‐throughput sequencing has permitted comprehensive resolution analyses of zooplankton diversity dynamics. However, significant methodological issues still surround analyses of complex bulk community samples, not least as in prevailing PCR‐based approaches. Marine drifting animals—zooplankton—play essential ecological roles in the pelagic ecosystem, transferring energy and elements to higher trophic levels, such as fishes, cetaceans and others. In the present study, we collected 48 size‐fractionated zooplankton samples in the vicinity of a coral reef island with environmental gradients. To investigate the spatiotemporal dynamics of zooplankton diversity patterns and the effect of PCR amplification biases across these complex communities, we first took metatranscriptomics approach. Comprehensive computational analyses revealed a clear pattern of higher/lower homogeneity in smaller/larger zooplankton compositions across samples respectively. Our study thus suggests changes in the role of dispersal across the sizes. Next, we applied in silico PCR to the metatranscriptomics datasets, in order to estimate the extent of PCR amplification bias. Irrespective of stringency criteria, we observed clear separations of size fraction sample clusters in both metatranscriptomics and in silico datasets. In contrast, the pattern—smaller‐fractioned communities had higher compositional homogeneity than larger ones—was observed in the metatranscriptomics data but not in the in silico datasets. To investigate this discrepancy further, we analysed the mismatches of widely used mitochondrial CO1 primers and identified priming site mismatches likely driving PCR‐based biases. Our results suggest the use of metatranscriptomics or, although less ideal, redesigning the CO1 primers is necessary to circumvent these issues. [ABSTRACT FROM AUTHOR]

Aphelenchoides besseyi is a plant‐parasitic nematode (PPN) in the family Aphelenchoididae capable of infecting more than 200 plant species. A. besseyi is also a species complex with strains exhibiting varying pathogenicity to plants. We present the genome and annotations of six Aphelenchoides species, four of which belonged to the A. besseyi species complex. Most Aphelenchoides genomes have a size of 44.7–47.4 Mb and are among the smallest in clade IV, with the exception of A. fujianensis, which has a size of 143.8 Mb and is one of the largest. Phylogenomic analysis successfully delimited the species complex into A. oryzae and A. pseudobesseyi and revealed a reduction of transposon elements in the last common ancestor of Aphelenchoides. Synteny analyses between reference genomes indicated that three chromosomes in A. besseyi were derived from fission and fusion events. A systematic identification of horizontal gene transfer (HGT) genes across 27 representative nematodes allowed us to identify two major episodes of acquisition corresponding to the last common ancestor of clade IV or major PPNs, respectively. These genes were mostly lost and differentially retained between clades or strains. Most HGT events were acquired from bacteria, followed by fungi, and also from plants; plant HGT was especially prevalent in Bursaphelenchus mucronatus. Our results comprehensively improve the understanding of HGT in nematodes. [ABSTRACT FROM AUTHOR]