Genetic population structure of the Hokkai shrimp Pandalus latirostris Rathbun, 1902 (Decapoda: Caridea: Pandalidae) from Zostera seagrass beds in Hokkaido, Japan

Azuma, Noriko; Chiba, Susumu

doi:10.1093/jcbiol/rux116

Cited by 4 publications

(1 citation statement)

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“…This may also suggest the possibility that these individuals may have derived from a common haplogroup. It is important to note that this species lacks planktonic larvae and exhibits distinct population structure even across small ranges, as demonstrated by more variable markers (Azuma & Chiba, 2018 ). Hence, we are committed to the view that ASVs diverging from the reference ones by at least 0.026 p ‐distance value (Figure 2 , Table 5 ) may be considered as having originated from a different type of phenomenon.…”

Section: Discussionmentioning

confidence: 99%

Experimental evaluation of genetic variability based on DNA metabarcoding from the aquatic environment: Insights from the Leray COI fragment

Turanov,

Koltsova,

Rutenko

2024

Ecology and Evolution

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Intraspecific genetic variation is important for the assessment of organisms' resistance to changing environments and anthropogenic pressures. Aquatic DNA metabarcoding provides a non‐invasive method in biodiversity research, including investigations at the within‐species level. Through the analysis of eDNA samples collected from the Peter the Great Gulf of the Japan Sea, in this study, we aimed to evaluate the identification of Amplicon Sequence Variants (ASVs) in marine eDNA among abundant species of the Zostera sp. community: Hexagrammos octogrammus, Pholidapus dybowskii (Teleostei: Perciformes), and Pandalus latirostris (Arthropoda: Decapoda). These species were collected from two distant locations to produce mock communities and gather aquatic eDNA both on the community and individual level. Our approach highlights the efficacy of eDNA metabarcoding in capturing haplotypic diversity and the potential for this methodology to track genetic diversity accurately, contributing to conservation efforts and ecosystem management. Additionally, our results elucidate the impact of nuclear mitochondrial DNA segments (NUMTs) on the reliability of metabarcoding data, indicating the necessity for cautious interpretation of such data in ecological studies. Moreover, we analyzed 83 publicly available COI sequence datasets from common groups of multicellular organisms (Mollusca, Echinodermata, Crustacea, Polychaeta, and Actinopterygii). The results reflect the decrease in population diversity that arises from using the metabarcode compared to the COI barcode.

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Section: Discussionmentioning

confidence: 99%