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Fingerprinting of hatchery haplotypes and acquisition of genetic information by whole-mitogenome sequencing of masu salmon, Oncorhynchus masou masou, in the Kase River system, Japan

  • Yoko Kato-Unoki ,

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft

    unoki.yoko.659@m.kyushu-u.ac.jp

    Affiliation Center for Advanced Instrumental and Educational Supports, Faculty of Agriculture, Kyushu University, Fukuoka, Japan

  • Keitaro Umemura,

    Roles Formal analysis, Investigation, Writing – review & editing

    Affiliation Fishery Research Laboratory, Kyushu University, Fukuoka, Japan

  • Kosuke Tashiro

    Roles Formal analysis, Investigation, Resources, Writing – review & editing

    Affiliation Laboratory of Molecular Gene Technology, Faculty of Agriculture, Kyushu University, Fukuoka, Japan

Abstract

Stocking hatchery fish can lead to disturbance and extinction of the local indigenous population. Masu salmon Oncorhynchus masou masou, which is endemic across Japan, is a commonly stocked fish for recreational fishing in Japan. To conserve the indigenous resource, their genetic information is required, however, especially on Kyushu Island, the paucity of genetic information for this species has hindered proper resource management. Here, to identify hatchery mitogenome haplotypes of this species, stocked in the Kase River system, Kyushu Island, Japan, and to provide mitogenomic information for the resource management of this species, we analyzed the whole-mitogenome of masu salmon in this river system and several hatcheries potentially used for stocking. Whole-mitogenome sequencing clearly identified hatchery haplotypes, like fingerprints: among the 21 whole-mitogenome haplotypes obtained, six were determined to be hatchery haplotypes. These hatchery haplotypes were distributed in 13 out of 17 sites, suggesting that informal stocking of O. m. masou has been performed widely across this river system. The population of no hatchery haplotypes mainly belonged to clade I, a clade not found in Hokkaido Island in previous studies. Sites without hatchery haplotypes, and the non-hatchery haplotypes in clade I might be candidates for conservation as putative indigenous resources. The whole-mitogenome haplotype analysis also clarified that the same reared strain was used in multiple hatcheries. Analysis of molecular variance suggested that stocked hatchery haplotypes reduce the genetic variation among populations in this river system. It will be necessary to pay attention to genetic fluctuations so that the resources of this river system will not deteriorate further. The single nucleotide polymorphism data obtained here could be used for resource management in this and other rivers: e.g., for monitoring of informal stocking and stocked hatchery fishes, and/or putative indigenous resources.

Introduction

Stocking of hatchery fish has been carried out throughout the world to mitigate declines in natural production and enhance fishery production and recreational fishing [1]. However, it can lead to disturbance and extinction of the local indigenous population, and loss of genetic diversity [2, 3]. Such effects are observed among salmonid fishes (e.g., [46]).

Masu salmon, Oncorhynchus masou masou is endemic across Japan, with diverse life histories [7]: there is a river-resident form and an anadromous form [7], with spawning adults homing to their natal river at high rates, similar to other Pacific salmons [8]. Oncorhynchus masou masou is one of the commonly stocked fish for recreational fishing in Japan. Especially on Kyushu Island, public resource management is not sufficient in many rivers, and inappropriate and informal stocking is performed widely by individuals and/or fishing clubs. Recent research has suggested that O. m. masou can be divided into different populations in terms of behavior, morphology, and genetics in each river [912]. Stocking hatchery O. m. masou might reduce the indigenous characteristics and local genetic variation, as observed in other salmonid species (e.g., [46]). To conserve and properly manage the indigenous O. m. masou resource in a river, their genetic information is required. Genetic study of O. m. masou in Japan has focused mainly on Hokkaido Island, and some areas of Honshu Island and its surrounding waters (e.g., [9, 1214]); studies of this species in Kyushu Island are scarce [15, 16].

The Kase River system is located in northwestern Kyushu Island (Fig 1). Inappropriate O. m. masou stocking, with no consideration of the indigenous population, has been conducted for a long time by fishing clubs and personal game fishers in this river. However, there have been no investigations of this species in this river system, and the distributions of foreign genes (hereafter, “hatchery haplotypes”) introduced by stocking and information of indigenous haplotypes are unknown. The lack of these genetic information hinders resource management of this species in this river system.

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Fig 1. Sampling locations and hatchery whole-mitogenome (MT) haplotype distributions detected in the Kase River system.

The upper map shows Kyushu Island, and the lower map shows the Kase River system. In the lower map, the main man-made dams (black bars with build year) and waterfalls (blue bars) that may hinder the fish run are marked. Sites with prior information about stocking history are shown in bold letters. For details of the samples and the results of whole-mitogenome sequencing, see Tables 1 and 4. The upper left map was modified from data downloaded from the Geospatial Information Authority of Japan (GSI) (original copyright 2020), and the upper right map and lower map were modified from data downloaded from the Geographic Information System (GIS) web page of the National Land Information Division, Japan (original copyright 2007) by the authors, respectively.

https://doi.org/10.1371/journal.pone.0240823.g001

Whole-mitogenome analysis will provide useful genetic information of O. m. masou. The mitogenome is commonly used as a genetic marker for characterizing population structure and identifying maternal lineages [1719], and is also used as the marker for environmental DNA (eDNA) analysis, which is recently attracting attention in resource management [2022]. Recent reports suggest that whole-mitogenome analysis can increase the resolution of matrilineal genetic patterns, especially in low diversity species, and allow detailed and more accurate phylogenetic analysis (e.g., [2326]). Accordingly, although high-resolution single nucleotide polymorphism (SNP) information might be required to distinguish subtle differences between similar lineages in a species, whole-mitogenome analysis would provide sufficient information for this species, and a stocked haplotype in the field could be identified by using the complete mitogenome sequence used for stocking as a reference.

Here, to identify hatchery mitogenome haplotypes, and to provide genetic information for the resource management of O. m. masou in the Kase River system, we analyzed the whole-mitogenome of this species in this river system and in several hatcheries that might be used for stocking. Through this analysis, we clarified the distribution of hatchery haplotypes and provided information regarding “other haplotypes” (probably including indigenous haplotypes) in this river system. Obtained information and the SNP data will contribute to resource management in this and other river systems.

Materials and methods

Ethics statement

This study was conducted with the permission of the Saga prefecture (permission number 3018). The fish were collected under appropriate fishing licenses that allowed the capture and sacrifice of the fish. The ethical approvals of the Kyushu University Animal Experiment Committee and the Faculty of Agriculture Ethics Committee in the Kyushu University were not required because approval of animal experiments is only necessary for fish reared at Kyushu University (according to the Kyushu University Animal Experimentation Regulations) and ethics covers only human research (this study is fish research) (according to the Faculty of Agriculture Ethics Committee Regulations in the Kyushu University). However, this study was carried out according to the guidelines of the Ichthyological Society of Japan (http://www.fish-isj.jp/english/guidelines.html).

Study area and samples

Information about the O. m. masou samples (geographic coordinates, sample numbers, sampling year, and stocking record) used in this study is listed in Table 1, and the locations of sampling sites are shown in Fig 1. The samples from the Kase River system were collected at 16 sites (St1–St16)—a single site on each of 16 tributaries—and at StM1, which is on tributary 11 at the confluence of tributaries 11 and 12, and a well-known as a stocking site (Fig 1 and Table 1). Samples from Shiiba Research Forest, Kyushu University (sSRF), an unstocked site in the Hitotsuse River system, were used as the control group. Information on the stocking record and hatcheries used for the Kase River system were collected, and one research center (Miyazaki Prefectural Fisheries Research Institute, sKFR) and six hatcheries (sHT1–sHT6) were selected as putative sources of O. m. masou in this river system (Fig 1 and Table 1) [16, 27]. Information about the river of origin and mating history of hatchery fishes is shown in the columns “River system / tributary” and “Additional information”, respectively, in Table 1.

Sampling and DNA extraction

Wild fish were captured by electrofishing or normal fishing from 2015 to 2016. A small piece of fin was taken from each specimen, and the captured fish were released at the same point in the river. Tissues were immediately fixed in 99.5% ethanol or RNAlater solution (Thermo Fisher Scientific) and stored at −20°C until use. Total genomic DNA was extracted from preserved tissue using the QIAGEN Blood & Tissue DNeasy Kit (QIAGEN).

DNA sequencing

Next-generation sequencing (NGS) analysis is still expensive. To limit the sample number required for NGS, we performed whole-mitogenome analysis for some of the samples of each haplotype from each site (88 individuals) after comprehensively obtaining the haplotypes of all samples (383 individuals) by partial mitogenome sequencing. The region of partial sequencing was the NADH dehydrogenase subunit 5 gene (ND5), which has been used in previous studies in this species [9, 13].

The ND5 region (1597 bp) was amplified with the primer pair ND5-F1 and ND5-R (Table 2). The PCR mixture was as follows: 10–50 ng genomic DNA, 1× Phusion HF buffer (New England BioLabs), 0.2 mM of each dNTP, 0.5 μM of each primer, and 0.1 μL Phusion DNA polymerase (New England BioLabs) in a total volume of 10 μL. The PCR program was as follows: one cycle at 98°C for 30 s, followed by 40 cycles of 98°C for 10 s, 64°C for 20 s, and 72°C for 60 s, and a final extension at 72°C for 2 min. Each PCR product was sequenced with the primer ND5-F1 or ND5-F2 (Table 2). The ND5 sequences were assembled and multiple sequences were aligned using ATGC Ver. 4.3.5 software (GENETYX Co.). The identified 1449 bp sequence variants (ND5 haplotypes) (ND5 position, 358–1806; mitogenome position, 13299–14747 for reference sequence NC_008747) were deposited in DDBJ/EMBL/GenBank as shown in S1 Table. The ND5 sequencing procedures was deposited at protocols.io. (dx.doi.org/10.17504/protocols.io.bmf7k3rn).

The whole-mitogenome fragment (16.6 kbp) was amplified with primer pair MT-F and MT-R (Table 2). The PCR mixture was as follows: 20–100 ng genomic DNA, 1× PrimeSTAR GXL Buffer (TaKaRa Bio Inc.), 0.2 mM each dNTP, 0.2 μM each primer, and 0.3 μL of PrimeSTAR GXL DNA polymerase (TaKaRa Bio Inc.) in a total volume of 15 μL. The PCR program was as follows: one cycle at 98°C for 10 s, followed by 40 cycles of 98°C for 10 s, 60°C for 15 s, 68°C for 14 min, and a final extension at 68°C for 5 min. Each PCR product was subjected to agarose gel electrophoresis, and the mitogenome was extracted from the excised band by using the Wizard SV Gel and PCR Clean-up System (Promega).

Mitogenome libraries for NGS were prepared using a QIAseq FX DNA Library Kit (QIAGEN). For each library, the quality and fragment size were checked using an Agilent BioAnalyzer and the concentration was quantified by qPCR (Mx3000p, Agilent) using a KAPA Library Quantification Kit (KAPA Biosystems). Each library was pooled in equal amounts to obtain the final library. The pooled and denatured library (8 pM) containing 5% volume of PhiX (control library; Illumina) was sequenced using the Illumina MiSeq system with MiSeq Reagent Kit V3 (300 bp paired-end reads) (Illumina).

The obtained NGS data of paired end reads were trimmed using Trimmomatic ver. 0.36 as follows: a cleanup adapter was applied and reads with low quality (Q score, <28) and short-length (<50) were filtered out; then, the reads were mapped to the reference mitogenome sequence (O. m. masou accession No: NC_008747) using Burrow–Wheeler Aligner ver. 0.7.12, and the obtained SAM (Sequence Alignment Map) files were converted to BAM (Binary Alignment Map) files using SAMtools ver. 1.4.1. The resulting reads and the SNP sites for the reference sequence were visualized with Integrative Genomics Viewer version 2.3.83. and TASSEL ver. 5.0. The primer sites and those outside the region of interest (mitogenome positions 13950–14022) were replaced with the predetermined ND5 sequence. The identified full-length mitogenome sequence variants (MT haplotypes) were deposited in DDBJ/EMBL/GenBank as shown in S1 Table. Representative FASTQ data of each MT haplotypes were deposited in DRA (DDBJ Sequence Read Archive) under the accession number DRA007284. The whole-mitogenome sequencing procedures were deposited at protocols.io. (dx.doi.org/10.17504/protocols.io.bkwykxfw; dx.doi.org/10.17504/protocols.io.bmgck3sw).

Data analyses

Haplotype diversity and nucleotide diversity at each site in the Kase River were quantified by using Arilequin v3.5 [28]. Genetic variation in the Kase River system among the populations (corresponding to Site IDs, Table 1) or within the population (Analysis 1) and “other haplotypes” (excluding hatchery haplotype samples; Analysis 2) were calculated by analysis of molecular variance (AMOVA) implemented in Arilequin v3.5 based on the ND5 haplotype data (Table 3). The population of StM1, which is the confluence of tributaries 11 and 12, was excluded from both analyses. Samples that did not match with a hatchery haplotype in whole-mitogenome analysis (i.e., samples of mtKS4_2 at St8, mtKS6_1 at St9, and mtKS14_1 at St14) were added to Analysis 2.

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Table 3. Distribution of ND5 haplotypes at each sampling site.

https://doi.org/10.1371/journal.pone.0240823.t003

The relationships among haplotypes were estimated using the TCS program implemented in PopART [29]. To determine the relationships between haplotypes in past studies and the current study, we also analyzed the haplotype network including data from Kitanishi et al. [9] and Yu et al. [13].

Results

DNA sequences and determination of haplotype

The sequencing analysis of the 1449 bp fragment containing the ND5 gene detected a total of 18 ND5 haplotypes with 28 SNP sites (SNP position 13430–14687 in S2 Table) from 383 individuals (Table 3). Of these, 10 ND5 haplotypes (KS4, KS6, KS8–KS10, KS12, KS14, HT3, HT4A, and HT4B) were detected in hatcheries; seven of these 10 ND5 hatchery haplotypes (KS4, KS6, KS8–KS10, KS12, and KS14) were detected in the Kase River system. KS4 was also detected in the unstocked area, sSRF, in the Hitotsuse River system.

Eighty-eight of the 383 individuals that underwent ND5 sequencing were selected for whole-mitogenome sequencing by NGS. The whole-mitogenome sequencing of all 88 individuals was successful with approximately >1500-fold depth of coverage. The numbers of samples with each determined MT haplotype are shown for each sampling site in Table 4. The majority of ND5 haplotypes were associated with more than one MT haplotype, with 32 haplotypes including 256 SNP sites being detected (Table 4 and S2 Table). Sixteen haplotypes were detected in hatcheries (see asterisks, Table 4), and six of these, mtKS4_1, mtKS8, mtKS9, mtKS10_1, mtKS12, and mtKS14_2, were detected in the Kase River system. Hatchery haplotypes were distributed in 13 sites including sites with unknown stocking record (Fig 1). Several hatchery haplotypes were detected upstream of artificial barriers (e.g., dams) and/or natural barriers (e.g., waterfalls): mtKS4_1 at St11; mtKS8 at St2 and St9; mtKS9 at St15; and mtKS10_1 at St13 (Fig 1). The whole-mitogenome sequences of hatchery ND5 haplotype KS6 in the Kase River system (mtKS6_1) and KS4 at sSRF (mtKS4_HIT) did not match any hatchery MT haplotypes in the samples analyzed here (Table 4). Two MT haplotypes, mtKS4_1 and mtKS9, were detected in hatchery sHT1, which reared fish from sKFR; one of these MT haplotypes, mtKS4_1, was the same as that detected in sKFR (Tables 1 and 4). The MT haplotype determined for the ND5 haplotype KS4 samples in the Kase River system was consistently mtKS4_1 except for a sample at St8, which was mtKS4_2.

Some hatchery haplotypes were detected at multiple hatcheries (Table 4): mtKS6_HT3 was detected at sHT3 and sHT4; mtKS8 was detected at sHT3, sHT4, and sHT6; mtKS9 was detected at sHT1, sHT3, and sHT5; mtKS10_HT3 was detected at sHT3 and sHT5; and mtHT4A was detected at sHT4 and sHT6.

Data analyses

Based on the ND5 sequences (Table 3), haplotype diversity ranged from 0.000 to 0.8000 and nucleotide diversity from 0.0000 to 0.0057 (Table 3). The molecular variance within the population of “other haplotype” samples (Analysis 2) was 33.02%, which was less than that of all samples (44.15%) (Analysis 1). The molecular variance among populations when hatchery haplotype samples were excluded (Analysis 2) was 66.98%, which is higher than that when all samples were included (55.85%) (Analysis 1) (Table 5).

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Table 5. Analysis of molecular variance (AMOVA) based on the ND5 sequences in the Kase River system.

https://doi.org/10.1371/journal.pone.0240823.t005

We analyzed the relationships among haplotypes by using the TCS program (see Materials and Methods). The results showed a network of ND5 haplotypes (ND5-haplotype network) comprising four clades (Fig 2A). Analysis of MT haplotype relationships showed a detailed network (MT-haplotype network) (Fig 2B). Clades I–III in the ND5-haplotype network were similar to those in the MT-haplotype network. Clade IV of the ND5-haplotype network included other O. masou subspecies and formed a star-like topology radiating from haplotype KS14, whereas clade IV of the MT-haplotype network was divided into three sub-clades (Clade IV-I–IV-III), and the reference sequences of O. m. Biwa subsp. (Biwa salmon) (Accession No.: EF_105342) and O. m. formosanus (Accession No.: DQ_858456) belonged to clade IV-I. In both the ND5- and MT-haplotype networks, all haplotypes in clade III were hatchery haplotypes. Additionally, clade IV-II of the MT-haplotype network was also all hatchery haplotypes. In clade I of the MT-haplotype network, mtKS4_1, which was detected at sKFR (original river: Ishido tributary in the Hitotsuse River system), was in the same branch as mtKS4_HIT, which was detected at sSRF (original river: other tributary in the Hitotsuse River system).

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Fig 2. TCS network trees of ND5 haplotypes and MT haplotypes obtained in this study.

TCS network trees of (A) ND5 haplotypes and (B) MT haplotypes are shown. Each dash represents one single nucleotide difference between two neighboring haplotypes. Reference information (abbreviations and sequence accession numbers) are as follows: OMM, O. m. masou (NC_008747); OMI, O. m. ishikawae (DQ_864464); OMF, O. m. formosanus (DQ_858456); OMB, O. m. Biwa subsp. (Biwa salmon) (EF_105342).

https://doi.org/10.1371/journal.pone.0240823.g002

We compared the haplotypes and cladal relationships obtained in this study with those obtained using sequencing data of a 561 bp region in ND5 in the reports by Kitanishi et al. [9] and Yu et al. [13] (S3 Table and S1 Fig). KS1, KS2, and KS13, were new haplotypes in this region of ND5 in the current study. Clades I, II, III, and IV in the current study appear to correspond to clades 1–3, 1–6, 2–3, and 2–1, reported by Yu et al. [13], respectively (S3 Table).

Discussion

We obtained 32 MT haplotypes of O. m. masou from the Kase River system, hatcheries, and a control group by whole-mitogenome sequencing in this study. This analysis clearly identified hatchery haplotypes in this species in the Kase River system, like fingerprints. Sites contaminated with fish with hatchery MT haplotypes were clarified, suggesting that informal stocking was widely done across the study area. In the Kase River system, we obtained 21 MT haplotypes, six of which matched the haplotypes of the reference hatcheries (Fig 1 and Table 4). In pre-information, five sites had a stocking record (Table 1; bold letters, Fig 1), however, these hatchery haplotypes were detected in 13 of 17 sites in this river system (Fig 1). Hatchery haplotypes were also distributed upstream of waterfalls and artificial barriers that were built before stocking become popular in the Kase River system in the early 1970s (Fig 1) [30]. Oncorhynchus masou masou has a high homing tendency for the natal stream, and the dispersal of anadromous females and river-resident individuals is low [3133]. Hence, we consider that hatchery haplotypes in each site were derived from artificially stocked fish rather than natural dispersal. AMOVA suggested that these stocked hatchery haplotypes reduce the genetic variation among populations in this river system (Table 5).

Hatchery haplotype mtKS4_1 in the Kase River system was inferred to be derived from sKFR and spread from the hatchery sHT1 on the Kase River system. Partial mitogenome analysis showed that the ND5 haplotype KS4 was detected widely and frequently across the Kase River system (Table 3). However, with whole-mitogenome analysis, fish with this haplotype could be divided into three MT haplotypes, mtKS4_1, mtKS4_2, and mtKS4_HIT. In the Kase River system, whole-mitogenome sequence of analyzed samples with ND5 haplotype KS4 displayed all the MT haplotype mtKS4_1, except a sample at St8 with MT haplotype mtKS4_2 (Table 4). Prior to this study, we had obtained the information that the fish of hatchery sHT1 originated from sKFR. The result of whole-mitogenome analysis was consistent with this information, in that whole-mitogenome sequencing of samples with the ND5 haplotype KS4 from sHT1 and sKFR displayed the MT haplotype mtKS4_1 (Fig 1 and Table 1). These results allowed us to estimate of the origin of this haplotype. We considered that the MT haplotype mtKS9 of hatchery sHT1 may be a strain that was subsequently added to this hatchery. However, it is unknown whether the MT haplotype mtKS9 detected in the field is from sHT1, because fish with this haplotype are also used in hatcheries sHT3 and sHT5.

We predict that habitats without hatchery haplotypes occur in three sites (St1, St12, and St14). These areas might be candidates for conservation, because indigenous fish likely remain there. Although no hatchery haplotypes were detected in four sites (St1, St4, St12, and St14; Fig 1 and Table 4), we consider that the mtKS15 haplotype detected at St4 could be a stocked hatchery haplotype that could not be detected in this study, because (a) St4 has a stocking record (Table 1), and (b) mtKS15 was also detected at sites St13 and St16, which are geographically distant from St4, as observed with other hatchery MT haplotypes (Fig 1 and Table 4). Hybridization with invading hatchery male fish cannot be checked by mitogenome analysis alone. Therefore, whether hybridization with hatchery fish occurred at these locations will need to be confirmed in further studies by nuclear genome analysis, such as microsatellite analysis [19, 34]. Additionally, this suspicious haplotype might be resolved by accumulating whole-mitogenome sequence data of hatcheries and field samples from several other areas in Japan in future studies.

Indigenous haplotypes must be among the “other haplotypes”. In this study, the proportion of “other haplotypes” was highest in clade I (68.8%), possibly suggesting that clade I is the main population of indigenous O. m. masou in the Kase River system (Tables 3 and 4, and Fig 2). As shown in S1 Fig, we obtained three new haplotypes, KS1, KS2, and KS13, in the ND5 561 bp region in this study. KS1 and KS2 are not hatchery haplotypes and belong to clade I (Fig 2). The only haplotype corresponding to clade I in previous studies is H22 (S3 Table and S1 Fig) [13], however this haplotype was not detected in the north of Japan’s Hokkaido Island and was detected at a low rate in Honshu Island and in Korea [9, 13]. These results may suggest that the clade composition differs between the Kase River system on Kyushu Island and northern Japan. A recent study using a cytochrome-b gene (1141 bp region) in O. masou in the northwestern Pacific including southern Kyushu Island suggested the possible existence of a specific clade comprised of only O. m. masou in Kyushu Island (Group D in [15]). Further study might be necessary to assess whether our clade I haplotypes are related to Group D haplotypes in that report.

This study suggested that the whole-mitogenome analysis can detect a subtle divergence of the mitogenome in this species. As a notable example, the ND5 haplotype detected at the control site, prohibited fishing area sSRF, was identical to that detected at hatcheries sHT1 and sKFR (KS4; Table 3); however, the MT haplotype detected at sSRF (i.e., mtKS4_HIT) and that detected at the above hatcheries (i.e., mtKS4_1) differed by four nucleotides (Table 4 and S2 Table), and they diverged from the same node in the MT-haplotype network (Fig 2B). Fish in the sHT1 hatchery are known to originate from sKFR, which in turn sourced fish from the Ishido tributary of the Hitotsuse River system. Site sSRF is in another tributary of the same Hitotsuse River system (Table 1). Therefore mtKS4_HIT might be an indigenous haplotype at sSRF, and it is possible that fish with these two haplotypes diverged from a common ancestor in the Hitotsuse River system and accumulated genetic mutations at each site due to their homing ability and/or being landlocked [33, 35]. In the Kase River system, such subtle gene divergence was primarily observed “other haplotypes” in clade I (the clade in which main population of indigenous are inferred to belong) (Table 4 and Fig 2B). These haplotypes might be important for this river system because they may reflect its history. Further investigation might be necessary in the future whether many of these MT haplotypes are unique to each tributary because whole-mitogenome analysis was performed on only a few samples in each site.

This study also clarified that some reared strains were shared by multiple hatcheries: e.g., hatchery MT haplotype mtKS8 was detected at sHT3, sHT4, and sHT6; hatchery MT haplotype mtKS9 was detected at sHT1, sHT3, and sHT5 (Fig 1 and Table 4). Hatcheries sHT2-HT6 are used by fisheries cooperatives, fishing clubs, and/or many individuals, and are likely used to stock various rivers (e.g., [16, 27]). It is of concern that stocking of multiple rivers could cause loss of genetic diversity in this species among rivers [2, 5, 36]; the results of our AMOVA of the Kase River system are consistent with this notion. The 16 hatchery MT haplotypes identified in this study might also contribute to resource management in other rivers because, as mentioned above, the several reared strains that shared multiple hatcheries were likely also used to stock other rivers.

In conclusion, whole-mitogenome analysis helped the genetic study of O. m. masou, and provided useful information that was not available from conventional partial analysis of the mitogenome. The findings of this study reveal the reality of fish stocking in the Kase River system and suggest a critical situation—loss of indigenous habitat and genetic variation diversity—caused by stocking in this river system. Further investigation of hybridization with invading hatchery fish would require nuclear genome analysis. In addition, it will be necessary to pay attention to genetic fluctuations so that the indigenous resources of this river system will not deteriorate further by additional stocking, increasing the frequency of hatchery haplotypes and/or the disappearance of “other haplotypes (especially clade I haplotypes that inferred to be main indigenous population in this river system)”. Whole-mitogenome analysis could not be performed on all samples in this study, so it may be necessary to obtain additional genetic information for some purposes; however, the obtained data will contribute as basic information on O. m. masou. For example, although mitogenome analysis cannot check for hybridization with hatchery fish, the SNP data obtained here for O. m. masou (S2 Table) could be utilized as basic information when designing a detection system for target haplotypes; it might be useful for early resource management of this river and other river systems, such as monitoring of informal stocking and stocked hatchery fishes and/or putative indigenous resources by eDNA analysis [20, 37].

Supporting information

S1 Fig. TCS network trees showing the relationship between data from past studies and the present study.

Double circled haplotypes are new haplotypes obtained by this study. Colors show the clades corresponded to this study in Fig 2. For details showing the collation of haplotypes of past studies and this study see S3 Table.

https://doi.org/10.1371/journal.pone.0240823.s001

(PDF)

S1 Table. List of GenBank accession numbers deposited in this study.

https://doi.org/10.1371/journal.pone.0240823.s002

(PDF)

S2 Table. List of MT haplotype SNP sequences for the reference sequence (O. m. masou [NC_008747]).

Dots represent the same nucleotide as the reference sequence. “−” represents a gap site. Asterisks show a nucleotide differing only with the reference sequence. The gray column indicates the ND5 sequenced region.

https://doi.org/10.1371/journal.pone.0240823.s003

(XLSX)

S3 Table. Collation of haplotypes determined in past studies and this study.

Haplotype H1–H23 data are from Kitanishi et al. [9] and Yu et al. [13]. OMM:O. m. masou (NC_008747). OMI: O. m. ishikawae (DQ_864464). OMF: O. m. formosanus (DQ_858456). OMB: O. m. Biwa subsp. (Biwa salmon) (EF_105342).

https://doi.org/10.1371/journal.pone.0240823.s004

(PDF)

Acknowledgments

The authors are grateful to Dr. Norio Onikura of the Faculty of Agriculture of Kyushu University for supporting this study; Dr. Shigeru Kitanishi of the Faculty of Science and Technology of Oita University and Dr. Kazuhiro Takemoto of Kyushu Institute of Technology for helpful comments; Dr. Yukio Iwatsuki of the Faculty of Agriculture of Miyazaki University for encouraging our study; Dr. Yukiko Ogino of the Faculty of Agriculture of Kyushu University for their help with English writing; Mr. Takamasa Kawamura of the Faculty of Agriculture of Kyushu University for technical support of NGS; Mr. Daisuke Kambayashi of Miyazaki Prefectural Fisheries Research Institute and staff at the Shiiba Research Forest of Kyushu University for providing samples; and the Fisheries Division, River & Sediment Control Division, and Forestry Preservation Division of Saga Prefecture for providing information. NGS was performed using an Illumina MiSeq at the Center for Advanced Instrumental and Educational Support, Faculty of Agriculture, Kyushu University.

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