Genetic Structural Changes While Maintaining Effective Population Size of Bighead Catfish in Nong Han Lake: Implications of Metapopulation Dynamics or Release Activities
Chananya Patta
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorKednapat Sriphairoj
Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand
Search for more papers by this authorTrifan Budi
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorDominic Kwesi Quanoo
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorTon Huu Duc Nguyen
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWattanawan Jaito
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPiangjai Chalermwong
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorTavun Pongsanarm
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorChadaphon Thatukan
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWongsathit Wongloet
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorThitipong Panthum
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorThanyapat Thong
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPhanitada Srikampa
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWorapong Singchat
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorRyan Rasoarahona
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorEkaphan Kraichak
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Botany, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorNarongrit Muangmai
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSatid Chatchaiphan
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSittichai Hatachote
Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand
Search for more papers by this authorAingorn Chaiyes
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi, Thailand
Search for more papers by this authorChatchawan Jantasuriyarat
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorVisarut Chailertlit
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Aquatic Animal, Genetics Research and Development Division, Department of Fisheries, Pathum Thani Aquatic Animal Genetics Research and Development Center, Pathum Thani, Thailand
Search for more papers by this authorWarong Suksavate
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorJumaporn Sonongbua
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai, Thailand
Search for more papers by this authorJiraboon Prasanpan
Kalasin Fish Hatchery Farm (Betagro), Kalasin, Thailand
Search for more papers by this authorSunchai Payungporn
Research Unit of Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
Search for more papers by this authorKyudong Han
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Microbiology, College of bio-Convergence, Dankook University, Cheonan, Korea
Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan, Korea
Smart Animal Bio Institute, Dankook University, Cheonan, Republic of Korea
Search for more papers by this authorAgostinho Antunes
CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
Search for more papers by this authorPrapansak Srisapoome
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSahapop Dokkaew
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPrateep Duengkae
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorUthairat Na-Nakorn
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorYoichi Matsuda
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorCorresponding Author
Kornsorn Srikulnath
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Center for Advanced Studies in Tropical Natural Resources, National Research University-Kasetsart University, Kasetsart University, Bangkok, Thailand
Correspondence:
Kornsorn Srikulnath ([email protected])
Search for more papers by this authorChananya Patta
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorKednapat Sriphairoj
Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand
Search for more papers by this authorTrifan Budi
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorDominic Kwesi Quanoo
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorTon Huu Duc Nguyen
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWattanawan Jaito
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPiangjai Chalermwong
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorTavun Pongsanarm
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorChadaphon Thatukan
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWongsathit Wongloet
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorThitipong Panthum
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorThanyapat Thong
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPhanitada Srikampa
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorWorapong Singchat
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorRyan Rasoarahona
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorEkaphan Kraichak
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Botany, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorNarongrit Muangmai
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Fishery Biology, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSatid Chatchaiphan
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSittichai Hatachote
Faculty of Natural Resources and Agro-Industry, Kasetsart University Chalermphrakiat Sakon Nakhon Province Campus, Sakon Nakhon, Thailand
Search for more papers by this authorAingorn Chaiyes
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
School of Agriculture and Cooperatives, Sukhothai Thammathirat Open University, Nonthaburi, Thailand
Search for more papers by this authorChatchawan Jantasuriyarat
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorVisarut Chailertlit
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Aquatic Animal, Genetics Research and Development Division, Department of Fisheries, Pathum Thani Aquatic Animal Genetics Research and Development Center, Pathum Thani, Thailand
Search for more papers by this authorWarong Suksavate
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorJumaporn Sonongbua
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Faculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai, Thailand
Search for more papers by this authorJiraboon Prasanpan
Kalasin Fish Hatchery Farm (Betagro), Kalasin, Thailand
Search for more papers by this authorSunchai Payungporn
Research Unit of Systems Microbiology, Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
Search for more papers by this authorKyudong Han
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Microbiology, College of bio-Convergence, Dankook University, Cheonan, Korea
Bio-Medical Engineering Core Facility Research Center, Dankook University, Cheonan, Korea
Smart Animal Bio Institute, Dankook University, Cheonan, Republic of Korea
Search for more papers by this authorAgostinho Antunes
CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
Search for more papers by this authorPrapansak Srisapoome
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorSahapop Dokkaew
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorPrateep Duengkae
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Special Research Unit for Wildlife Genomics (SRUWG), Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorUthairat Na-Nakorn
Department of Aquaculture, Faculty of Fisheries, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorYoichi Matsuda
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Search for more papers by this authorCorresponding Author
Kornsorn Srikulnath
Animal Genomics and Bioresource Research Unit (AGB Research Unit), Faculty of Science, Kasetsart University, Bangkok, Thailand
Sciences for Industry, Faculty of Science, Kasetsart University, Bangkok, Thailand
Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand
Department of Genetics, Faculty of Science, Kasetsart University, Bangkok, Thailand
Center for Advanced Studies in Tropical Natural Resources, National Research University-Kasetsart University, Kasetsart University, Bangkok, Thailand
Correspondence:
Kornsorn Srikulnath ([email protected])
Search for more papers by this authorFunding: This research was financially supported in part by The National Research Council of Thailand (NRCT) (N42A650233) awarded to PSm, UN, and KSh; National Research Council of Thailand: High-Potential Research Team Grant Program (N42A660605) awarded to WSt, EK, NM, SC, KSj, SH, AC, CJ, VC, WSv, JS, PSm, PD, UN, and KSh. The Program Management Unit for Human Resources and Institutional Development and Innovation (PMU-B) has granted a proposal entitled “Fostering Excellence: Empowering Post-Doctoral Researchers in Agriculture and Food through Cutting-Edge Genome Linkage Analysis. Elevating Aquatic Animal Breeding Capabilities and Pioneering Selection of High-Value Species for Thriving Economies in the Aquatic Animal Industry” under the Program of National Postdoctoral and Postgraduate System approved by PMU-B Board Committees (Contract No. B13F670053), which was awarded to KSj, WSt, EK, NM, SC, SP, SH, AC, CJ, VC, WSv, JS, PSm, PD, UN, and KSh; the National Science and Research Foundation (NSRF) via the program management unit for human resources and institutional development, research and innovation awarded to RR, and KSh; the Higher Education for Industry Consortium (Hi-FI), The Ministry of Higher Education, Science, Research and Innovation of Thailand (6414400906, 6514400892 and 6514400949) awarded to CP, CT, PC, and KSh; a Thailand Science Research and Innovation (TSRI) grant through the Kasetsart University Reinventing University Program 2021 (3/2564) awarded to TPm and KSh; the High-Quality Research Graduate Development Cooperation Project between Kasetsart University and the National Science and Technology Development Agency (NSTDA) awarded to TB, TPm and KSh; a grant from Kasetsart University Research and Development Institute (FF(KU)25.64) awarded to WSt and KSh; and (FF(S-KU)17.66) awarded to WSt and KSh; and a support from the International SciKU Branding (ISB), Faculty of Science, Kasetsart University awarded to WSt and KSh. No funding source was involved in the study design, collection, analysis, and interpretation of the data; writing of the report; or decision to submit the article for publication.
Chananya Patta, Kednapat Sriphairoj and Trifan Budi contributed equally to this work and share first authorship.
ABSTRACT
The Bighead Catfish (Clarias macrocephalus) plays crucial roles in the ecosystem and as a protein source for humans in Nong Han Lake, Thailand, but their ecological and population dynamics, along with their genetic diversity and structure, are poorly understood. Therefore, the dynamics of genetic diversity and differentiation of bighead catfish populations in Nong Han Lake were investigated during 2018–2023 to provide essential insights into preserving biodiversity and maintaining ecological balance. Microsatellite genotyping was used to assess the genetic diversity of one bighead catfish population in 2018, two populations in 2023, and one hatchery population. Potentially stable, effective population sizes and distinct genetic clusters of these populations were identified, which represented the resilience of populations and the complexity of their genetic dynamics. Genetic differentiation between sample dates and among populations suggested that limited recent and historical genetic exchanges could potentially influence genetic structure. The impact of ecological factors, including flooding, metapopulation dynamics, and human interventions, was indicated by unique and shared gene pools among populations and subpopulations in different years. Ongoing assessment of genetic diversity and structure of bighead populations is essential for developing conservation strategies and ensuring sustainable management.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
The full dataset and metadata from this study are available from the Dryad Digital Repository (https://datadryad.org/stash/share/XjO844ulqFErzDzbcmbCOeDNCzRKBLiO56AVCa-jr28, accessed 5 March 2024).
Supporting Information
Filename | Description |
---|---|
fme12778-sup-0001-AppendixS1.docxWord 2007 document , 4.7 MB |
Table S1 List of 345 specimens of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 used in this study. Table S2 Nucleotide sequences of microsatellite primers and fluorescence dyes used for labelling used in this study. Table S3 Pairwise comparison of linkage disequilibrium of 15 microsatellite loci in bighead catfish (Clarias macrocephalus) collected from SNK18NH (Ban Don Sao Thong, Sakon Nakhon Province) population in 2018. Numbers indicate p-values with 110 permutations. Table S4 Pairwise comparison of linkage disequilibrium of 15 microsatellite loci in bighead catfish (Clarias macrocephalus) collected from SNK23SDKJ (Susan Don Kajo, Sakon Nakhon Province) population in 2023. Numbers indicate p-values with 110 permutations. Table S5 Pairwise comparison of linkage disequilibrium of 15 microsatellite loci in bighead catfish (Clarias macrocephalus) collected from SNK23BTW (Baan Tha Wat, Sakon Nakhon Province) population in 2023. Numbers indicate p-values with 110 permutations. Table S6 Pairwise comparison of linkage disequilibrium of 15 microsatellite loci in bighead catfish (Clarias macrocephalus) collected from SNK22NH (The hatchery of Sakon Nakhon Provincial Fisheries Office, the Department of Fisheries, Ministry of Agriculture and Cooperatives, Sakon Nakhon Province) population in 2022. Numbers indicate p-values with 110 permutations. Table S7 Genetic diversity of each microsatellite locus in four populations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023. Detailed information of all individuals is presented in Table S1. Table S8 Observed (Ho) and expected (He) heterozygosity in four populations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 estimated by the Welch’s t-test using 15 microsatellite loci. Table S9 Comparison of observed (Ho) and expected (He) heterozygosity between four populations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 based on the genotyping data of 15 microsatellite loci. Table S10 Distributions of genetic relatedness values (r) and inbreeding coefficients (FIS) in bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023. Table S11 Analysis of molecular variance for bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023based on the results of AMOVA analysis with15 microsatellite loci. Table S12 Nei’s genetic distance (D) between four populations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023. Table S13 Wilcoxon sign rank test to evaluate the mutation–drift equilibrium in 345 bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 under different models (TPM and SMM). Table S14 The mean migration rates between populations and 95% confidence intervals for standard deviation determined via BayesAss version 3.0.5 using microsatellite data for bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023. Table S15 The median scaled population size (Θ) in four populations of bighead catfish and asymmetric migration rates (M) between bighead catfish populations estimated with 15 microsatellite loci. Table S16 The effective number of immigrants (Nm) from population i into population j per generation between four populations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 estimated with 15 microsatellite loci. Table S17 Genetic diversity of tentative subpopulation of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 estimated using 15 microsatellite loci. Table S18 Observed (Ho) and expected (He) heterozygosity in six tentative subpopulations of bighead catfish (Clarias macrocephalus) from Sakon Nakhon Province, Thailand, in 2018, 2022, and 2023 estimated by Welch’s t-test using 15 microsatellite loci. Table S19 Comparison of observed (Ho) and expected (He) heterozygosity between six tentative subpopulations of bighead catfish (Clarias macrocephalus) based on genotyping data of 15 microsatellite loci. Table S20 Pairwise comparison of genetic differentiation (FST) between tentative subpopulations of bighead catfish (Clarias macrocephalus). Table S21 The result of analysis of molecular variance (AMOVA) for tentative subpopulations of bighead catfish (Clarias macrocephalus) based on 15 microsatellite loci. Table S22 The effective population size and the ratio of effective population size to census population size (Ne/N) in tentative subpopulations of bighead catfish (Clarias macrocephalus). Table S23 The effective number of immigrants (Nm) from population i into population j per generation in tentative subpopulation of bighead catfish (Clarias macrocephalus) estimated with 15 microsatellite loci. Table S24 Changes of area in water and flooded vegetation at Nong Han Lake, Sakon Nakhon Province, Thailand from 2017 to 2023. Table S25 The number and origin of bighead catfish (Clarias macrocephalus) released in Nong Han Lake, Sakon Nakhon over years. Figure S1 Distribution of (a) inbreeding coefficient (FIS) and relatedness (r) among population of bighead catfish (Clarias macrocephalus). Figure S2 Discriminant analysis of principal components (DAPC) of bighead catfish (Clarias macrocephalus) populations based on genotyping data of 15 microsatellite loci. Each population is represented with a different color, and each point represents an individual. Figure S3 Factorial correspondence analysis (FCA) of bighead catfish (Clarias macrocephalus) populations based on genotyping data of 15 microsatellite loci. Each population is represented with a different color, and each point represents an individual. Figure S4 Principal component analysis (PCoA) of bighead catfish (Clarias macrocephalus) populations based on genotyping data of 15 microsatellite loci. Each population is represented with a different color, and each point represents an individual. Figure S5 Multidimensional scaling analysis (MDS) of bighead catfish (Clarias macrocephalus) populations based on genotyping data of 15 microsatellite loci. Each population is represented with a different color, and each point represents an individual. Figure S6 Different patterns of population structures of bighead catfish (Clarias macrocephalus) populations based on genotyping data of 15 microsatellite loci generated by the model-based Bayesian clustering algorithms implemented in STRUCTURE. (a) Plot based on ln P(K). (b) Plot based on Evano’s ΔK. Figure S7 Estimation of the optimal number of migration edges in bighead catfish (Clarias macrocephalus) using the R package OptM with the default Evanno method. (a) value of variance explained, (b) the number of migration edges. Figure S8 Plot of correlation between genetic distance and geographical distance among bighead catfish (Clarias macrocephalus) populations. Figure S9 Genetic structures of six tentative subpopulation of bighead catfish (Clarias macrocephalus) revealed by Bayesian structural analysis. The x-axis represents the proportion of membership in each genetic cluster, and each vertical bar on the y-axis represents an individual. All individuals from six subpopulations are superimposed on the plot. Black horizontal lines indicate the boundaries. Figure S10 Principal component analysis (PCoA) of bighead catfish (Clarias macrocephalus) tentative subpopulations based on the genotyping data of 15 microsatellite loci. Each subpopulation is represented with a different color, and each point represents an individual. Figure S11 Discriminant analysis of principal components (DAPC) of bighead catfish (Clarias macrocephalus) tentative subpopulations based on genotyping data of 15 microsatellite loci. Each subpopulation is represented with a different color, and each point represents an individual. Figure S12 Multidimensional scaling analysis (MDS) of bighead catfish (Clarias macrocephalus) tentative subpopulations based on genotyping data of 15 microsatellite loci. Each subpopulation is represented with a different color, and each point represents an individual. Figure S13 Factorial correspondence analysis (FCA) of bighead catfish (Clarias macrocephalus) tentative subpopulations based on genotyping data of 15 microsatellite loci. Each subpopulation is represented with a different color, and each point represents an individual. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
References
- Abdul-Rahman, F., D. Tranchina, and D. Gresham. 2021. “Fluctuating Environments Maintain Genetic Diversity Through Neutral Fitness Effects and Balancing Selection.” Molecular Biology and Evolution 38: 4362–4375. https://doi.org/10.1093/molbev/msab173.
- Agbebi, O. T., D. E. Ilaboya, and A. O. Adebambo. 2013. “Preliminary Characterization of Genetic Strains in Clariid Species, Clarias gariepinus and Heterobranchus bidorsalis Using Microsatellite Markers.” African Journal of Biotechnology 12: 364–369. https://doi.org/10.5897/AJB12.2465.
- Allendorf, F. W., W. C. Funk, S. N. Aitken, M. Byrne, and G. Luikart. 2022. “ Genetic Monitoring.” In Conservation and the Genomics of Populations, 540–557. Oxford: Oxford University Press.
10.1093/oso/9780198856566.003.0023 Google Scholar
- Arandjelovic, M., and L. Vigilant. 2018. “Non-Invasive Genetic Censusing and Monitoring of Primate Populations.” American Journal of Primatology 80: e22743. https://doi.org/10.1002/ajp.22743.
- Aykanat, T., S. E. Johnston, P. Orell, E. Niemelä, J. Erkinaro, and C. R. Primmer. 2015. “Low but Significant Genetic Differentiation Underlies Biologically Meaningful Phenotypic Divergence in a Large Atlantic Salmon Population.” Molecular Ecology 24: 5158–5174. https://doi.org/10.1111/mec.13383.
- Beerli, P. 2006. “Comparison of Bayesian and Maximum-Likelihood Inference of Population Genetic Parameters.” Bioinformatics 22: 341–345. https://doi.org/10.1093/bioinformatics/bti803.
- Belkhir, K., P. Borsa, L. Chikhi, N. Raufaste, and F. Bonhomme. 2003. GENETIX Version 4.04, logiciel sous Windows TM pour la génétique des populations. Montpellier, France: Laboratoire Génome, Populations. Interactions CNRS UMR, 5000.
- Bohonak, A. J. 2002. “IBD (Isolation by Distance): A Program for Analyses of Isolation by Distance.” Journal of Heredity 93: 153–154. https://doi.org/10.1093/jhered/93.2.153.
- Bruford, M. W., N. Davies, M. E. Dulloo, D. P. Faith, and M. Walters. 2017. “ Monitoring Changes in Genetic Diversity.” In The GEO Handbook on Biodiversity Observation Networks, edited by M. Walters and R. J. Scholes, 107–128. Cham: Springer International Publishing.
10.1007/978-3-319-27288-7_5 Google Scholar
- Bruton, M. N. 1996. “Alternative Life-History Strategies of Catfishes.” Aquatic Living Resources 9: 35–41. https://doi.org/10.1051/alr:1996040.
- Calafell, F., A. Shuster, W. C. Speed, J. R. Kidd, and K. K. Kidd. 1998. “Short Tandem Repeat Polymorphism Evolution in Humans.” European Journal of Human Genetics 6: 38–49. https://doi.org/10.1038/sj.ejhg.5200151.
- Chapuis, M.-P., and A. Estoup. 2007. “Microsatellite Null Alleles and Estimation of Population Differentiation.” Molecular Biology and Evolution 24: 621–631. https://doi.org/10.1093/molbev/msl191.
- Chapuis, M.-P., M. Lecoq, Y. Michalakis, et al. 2008. “Do Outbreaks Affect Genetic Population Structure? A Worldwide Survey in Locusta migratoria, a Pest Plagued by Microsatellite Null Alleles.” Molecular Ecology 17: 3640–3653. https://doi.org/10.1111/j.1365-294x.2008.03869.x.
- Chen, M., Y. Liang, X. Cheng, et al. 2023. “How Do Fish Functional Traits Respond to Dams at the Global Scale?” Hydrobiologia 850: 1159–1173. https://doi.org/10.1007/s10750-023-05151-4.
10.1007/s10750?023?05151?4 Google Scholar
- Cisneros-Mata, M. Á., A. Munguía-Vega, D. Rodríguez-Félix, et al. 2019. “Genetic Diversity and Metapopulation Structure of the Brown Swimming Crab (Callinectes bellicosus) Along the Coast of Sonora, Mexico: Implications for Fisheries Management.” Fisheries Research 212: 97–106. https://doi.org/10.1016/j.fishres.2018.11.021.
- Coates, D. J., M. Byrne, and C. Moritz. 2018. “Genetic Diversity and Conservation Units: Dealing With the Species-Population Continuum in the Age of Genomics.” Frontiers in Ecology and Evolution 6: 165. https://doi.org/10.3389/fevo.2018.00165.
- Finger, A. J., B. Mahardja, K. M. Fisch, et al. 2018. “A Conservation Hatchery Population of Delta Smelt Shows Evidence of Genetic Adaptation to Captivity After 9 Generations.” Journal of Heredity 109: 689–699. https://doi.org/10.1093/jhered/esy035.
- Fitzpatrick, S. W., H. Crockett, and W. C. Funk. 2014. “Water Availability Strongly Impacts Population Genetic Patterns of an Imperiled Great Plains Endemic Fish.” Conservation Genetics 15: 771–788. https://doi.org/10.1007/s10592-014-0577-0.
- Frankham, R., C. J. Bradshaw, and B. W. Brook. 2014. “Genetics in Conservation Management: Revised Recommendations for the 50/500 Rules, Red List Criteria and Population Viability Analyses.” Biological Conservation 170: 56–63. https://doi.org/10.1016/j.biocon.2013.12.036.
- Fraser, D. J. 2008. “How Well Can Captive Breeding Programs Conserve Biodiversity? A Review of Salmonids.” Evolutionary Applications 1: 535–586. https://doi.org/10.1111/j.1752-4571.2008.00036.x.
- Garza, J. C., and E. G. Williamson. 2001. “Detecting the Reduction in Population Size Using Data From Microsatellite DNA.” Molecular Ecology 10: 305–318. https://doi.org/10.1046/j.1365-294x.2001.01190.x.
- Geist, J., and S. J. Hawkins. 2016. “Habitat Recovery and Restoration in Aquatic Ecosystems: Current Progress and Future Challenges.” Aquatic Conservation: Marine and Freshwater Ecosystems 26: 942–962. https://doi.org/10.1002/aqc.2702.
- Goudarzi, F., M.-R. Hemami, L. Rancilhac, et al. 2019. “Geographic Separation and Genetic Differentiation of Populations Are Not Coupled With Niche Differentiation in Threatened Kaiser's Spotted Newt (Neurergus kaiseri).” Scientific Reports 9: 6239. https://doi.org/10.1038/s41598-019-41886-8.
- Hedrick, P. 2005. “Large Variance in Reproductive Success and the Ne/N Ratio.” Evolution 59: 1596–1599.
- Hoban, S., M. Bruford, J. D. U. Jackson, et al. 2020. “Genetic Diversity Targets and Indicators in the CBD Post-2020 Global Biodiversity Framework Must Be Improved.” Biological Conservation 248: 108654. https://doi.org/10.1016/j.biocon.2020.108654.
- Hoban, S., C. D. Campbell, J. M. da Silva, et al. 2021. “Genetic Diversity Is Considered Important but Interpreted Narrowly in Country Reports to the Convention on Biological Diversity: Current Actions and Indicators Are Insufficient.” Biological Conservation 261: 109233. https://doi.org/10.1016/j.biocon.2021.109233.
- Hoban, S. M., H. C. Hauffe, S. Pérez-Espona, et al. 2013. “Bringing Genetic Diversity to the Forefront of Conservation Policy and Management.” Conservation Genetics Resources 5: 593–598. https://doi.org/10.1007/s12686-013-9859-y.
- Hohenlohe, P. A., W. C. Funk, and O. P. Rajora. 2021. “Population Genomics for Wildlife Conservation and Management.” Molecular Ecology 30: 62–82. https://doi.org/10.1111/mec.15720.
- Holmlund, C. M., and M. Hammer. 2004. “Effects of Fish Stocking on Ecosystem Services: An Overview and Case Study Using the Stockholm Archipelago.” Environmental Management 33: 799–820. https://doi.org/10.1007/s00267-004-0051-8.
- Holsinger, K. E., and B. S. Weir. 2009. “Genetics in Geographically Structured Populations: Defining, Estimating and Interpreting FST.” Nature Reviews 10: 639–650. https://doi.org/10.1038/nrg2611.
- Huang, K., K. Ritland, D. W. Dunn, X. Qi, S. Guo, and B. Li. 2016. “Estimating Relatedness in the Presence of Null Alleles.” Genetics 202: 247–260. https://doi.org/10.1534/genetics.114.163956.
- Jamieson, I. G., and F. W. Allendorf. 2012. “How Does the 50/500 Rule Apply to MVPs?” Trends in Ecology & Evolution 27: 578–584. https://doi.org/10.1016/j.tree.2012.07.001.
- Jintanugool, J., and P. D. Round. 2011. “Nong Han.” http://www.ramsar.wetlands.org/Portals/15/Thailand.Pdf.
- Jorde, P. E., A. Andersson, N. Ryman, and L. Laikre. 2018. “Are We Underestimating the Occurrence of Sympatric Populations?” Molecular Ecology 27: 4011–4025. https://doi.org/10.1111/mec.14846.
- Kánainé Sipos, D., K. Bakos, Á. Ősz, et al. 2019. “Development and Characterization of 49 Novel Microsatellite Markers in the African Catfish, Clarias gariepinus (Burchell, 1822).” Molecular Biology Reports 46: 6599–6608. https://doi.org/10.1007/s11033-019-05062-5.
- Karra, K., C. Kontgis, Z. Statman-Weil, J. C. Mazzariello, M. Mathis, and S. P. Brumby. 2021. “ Global Land Use/Land Cover With Sentinel 2 and Deep Learning.” In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4704–4707. Brussels, Belgium: IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553499.
10.1109/IGARSS47720.2021.9553499 Google Scholar
- Kazyak, D. C., R. H. Hilderbrand, T. L. King, S. R. Keller, and V. E. Chhatre. 2016. “Hiding in Plain Sight: A Case for Cryptic Metapopulations in Brook Trout (Salvelinus fontinalis).” PLOS ONE 11, no. 1: e0146295. https://doi.org/10.1371/journal.pone.0146295.
- Kim, K.-R., K.-Y. Kim, and H. Y. Song. 2024. “Genetic Structure and Diversity of Hatchery and Wild Populations of Yellow Catfish Tachysurus fulvidraco (Siluriformes: Bagridae) From Korea.” International Journal of Molecular Sciences 25: 3923. https://doi.org/10.3390/ijms25073923.
- Klingbeil, W. H., III, G. J. Montecinos, and F. Alberto. 2022. “Giant Kelp Genetic Monitoring Before and After Disturbance Reveals Stable Genetic Diversity in Southern California.” Frontiers in Marine Science 9: 947393.
- Laikre, L., F. W. Allendorf, L. C. Aroner, et al. 2010. “Neglect of Genetic Diversity in Implementation of the Convention of Biological Diversity.” Conservation Biology 24: 86–88. https://doi.org/10.1111/j.1523-1739.2009.01425.x.
- Lisachov, A., D. H. M. Nguyen, T. Panthum, et al. 2023. “Emerging Importance of Bighead Catfish (Clarias macrocephalus) and North African Catfish (C. gariepinus) as a Bioresource and Their Genomic Perspective.” Aquaculture 573: 739585. https://doi.org/10.1016/j.aquaculture.2023.739585.
- Mable, B. K. 2019. “Conservation of Adaptive Potential and Functional Diversity: Integrating Old and New Approaches.” Conservation Genetics 20: 89–100. https://doi.org/10.1007/s10592-018-1129-9.
- Marty, L., U. Dieckmann, and B. Ernande. 2015. “Fisheries-Induced Neutral and Adaptive Evolution in Exploited Fish Populations and Consequences for Their Adaptive Potential.” Evolutionary Applications 8: 47–63. https://doi.org/10.1111/eva.12220.
- Mathieu-Bégné, E., G. Loot, M. Chevalier, I. Paz-Vinas, and S. Blanchet. 2019. “Demographic and Genetic Collapses in Spatially Structured Populations: Insights From a Long-Term Survey in Wild Fish Metapopulations.” Oikos 128: 196–207. https://doi.org/10.1111/oik.05511.
- Mueller, A. K., N. Chakarov, O. Krüger, and J. I. Hoffman. 2016. “Long-Term Effective Population Size Dynamics of an Intensively Monitored Vertebrate Population.” Heredity 117: 290–299. https://doi.org/10.1038/hdy.2016.67.
- Na-Nakorn, U., W. Kamonrat, and T. Ngamsiri. 2004. “Genetic Diversity of Walking Catfish, Clarias macrocephalus, in Thailand and Evidence of Genetic Introgression From Introduced Farmed C. gariepinus.” Aquaculture 240: 145–163. https://doi.org/10.1016/j.aquaculture.2004.08.001.
- Neuenschwander, S., F. Michaud, and J. Goudet. 2019. “QuantiNemo 2: A Swiss Knife to Simulate Complex Demographic and Genetic Scenarios, Forward and Backward in Time.” Bioinformatics 35: 886–888. https://doi.org/10.1093/bioinformatics/bty737.
- Noorullah, M., A. Zuberi, M. Zaman, W. Younas, S. Hussain, and M. Kamran. 2023. “Assessment of Genetic Diversity Among Wild and Captive-Bred Labeo rohita Through Microsatellite Markers and Mitochondrial DNA.” Fisheries and Aquatic Sciences 26: 752–761. https://doi.org/10.47853/FAS.2023.e67.
- Östergren, J., S. Palm, J. Gilbey, et al. 2021. “A Century of Genetic Homogenization in Baltic Salmon—Evidence From Archival DNA.” Proceedings of the Royal Society B 288: 20203147. https://doi.org/10.1098/rspb.2020.3147.
- O'Sullivan, R. J., T. Aykanat, S. E. Johnston, et al. 2020. “Captive-Bred Atlantic Salmon Released Into the Wild Have Fewer Offspring Than Wild-Bred Fish and Decrease Population Productivity.” Proceedings of the Royal Society B 287: 20201671. https://doi.org/10.1098/rspb.2020.1671.
- Palstra, F. P., and D. E. Ruzzante. 2011. “Demographic and Genetic Factors Shaping Contemporary Metapopulation Effective Size and Its Empirical Estimation in Salmonid Fish.” Heredity 107: 444–455. https://doi.org/10.1038/hdy.2011.31.
- Patta, C., T. Panthum, C. Thatukan, et al. 2024. “Questioning Inbreeding: Could Outbreeding Affect Productivity in the North African Catfish in Thailand?” PLoS One 19: e0302584. https://doi.org/10.1371/journal.pone.0302584.
- Pelicice, F. M., A. A. Agostinho, V. M. Azevedo-Santos, et al. 2023. “Ecosystem Services Generated by Neotropical Freshwater Fishes.” Hydrobiologia 850: 2903–2926. https://doi.org/10.1007/s10750-022-04986-7.
- Phongkaew, P., U. Arunyawat, A. Swatdipong, and V. Hongtrakul. 2014. “Inverted Migration of Rare Whisker Sheatfish in Nong-Han Lake, Northeastern Thailand: Implications for Conservation.” Genetics and Molecular Research 13: 7492–7502. https://doi.org/10.4238/2014.September.12.16.
- Pickrell, J., and J. Pritchard. 2012. “Inference of Population Splits and Mixtures From Genome-Wide Allele Frequency Data.” PLoS Genetics 8: e1002967. https://doi.org/10.1371/journal.pgen.1002967.
- Pritchard, J. K., M. Stephens, and P. Donnelly. 2000. “Inference of Population Structure Using Multilocus Genotype Data.” Genetics 155: 945–959. https://doi.org/10.1093/genetics/155.2.945.
- Priya, A., M. Muruganandam, S. Rajamanickam, et al. 2023. “Impact of Climate Change and Anthropogenic Activities on Aquatic Ecosystem—A Review.” Environmental Research 238: 117233. https://doi.org/10.1016/j.envres.2023.117233.
- Pujolar, J. M., S. Vincenzi, L. Zane, D. Jesensek, G. A. De Leo, and A. J. Crivelli. 2011. “The Effect of Recurrent Floods on Genetic Composition of Marble Trout Populations.” PLoS One 6: e23822. https://doi.org/10.1371/journal.pone.0023822.
- Rayan, S., B. Chartchumni, S. Kaewdonree, and W. Rayan. 2020. “Fish Species Composition and Catch Per Unit Effort in Nong Han Wetland, Sakon Nakhon Province, Thailand.” Songklanakarin Journal of Science and Technology 42: 795–801. https://doi.org/10.14456/sjst-psu.2020.102.
10.14456/sjst?psu.2020.102 Google Scholar
- Rayan, S., S. Kaewdonree, A. Rangsiwiwat, and B. Chartchumni. 2021. “Distribution of Aquatic Plants in Nong Han Wetland, Thailand.” Songklanakarin Journal of Science and Technology 43: 195–202.
- Roger, F., A. Godhe, and L. Gamfeldt. 2012. “Genetic Diversity and Ecosystem Functioning in the Face of Multiple Stressors.” PLoS One 7: e45007. https://doi.org/10.1371/journal.pone.0045007.
- Rönkä, N., V.-M. Pakanen, A. Pauliny, et al. 2021. “Genetic Differentiation in an Endangered and Strongly Philopatric, Migrant Shorebird.” BMC Ecology and Evolution 21: 125. https://doi.org/10.1186/s12862-021-01855-0.
- Ryman, N. 2006. “CHIFISH: A Computer Program Testing for Genetic Heterogeneity at Multiple Loci Using Chi-Square and Fisher's Exact Test.” Molecular Ecology Notes 6: 285–287. https://doi.org/10.1111/j.1471-8286.2005.01146.x.
- Schroderus, E., M. Koivula, E. Koskela, T. Mappes, T. A. Oksanen, and T. Poikonen. 2012. “Can Number and Size of Offspring Increase Simultaneously?—A Central Life-History Trade-Off Reconsidered.” BMC Ecology and Evolution 12: 44. https://doi.org/10.1186/1471-2148-12-44.
- Settacharnwit, S., R. T. Buckney, and R. P. Lim. 2003. “The Nutrient Status of Nong Han, a Shallow Tropical Lake in North-Eastern Thailand: Spatial and Temporal Variations.” Lakes & Reservoirs: Research and Management 8: 189–200. https://doi.org/10.1111/j.1440-1770.2003.00221.x.
- Star, B., and H. G. Spencer. 2013. “Effects of Genetic Drift and Gene Flow on the Selective Maintenance of Genetic Variation.” Genetics 194, no. 1: 235–244. https://doi.org/10.1534/genetics.113.149781.
- Supikamolseni, A., N. Ngaoburanawit, M. Sumontha, et al. 2015. “Molecular Barcoding of Venomous Snakes and Species-Specific Multiplex PCR Assay to Identify Snake Groups for Which Antivenom Is Available in Thailand.” Genetics and Molecular Research 14: 13981–13997. https://doi.org/10.4238/2015.October.29.18.
- Tantia, M. S., R. K. Vijh, B. Mishra, S. T. Kumar, and R. Arora. 2006. “Multilocus Genotyping to Study Population Structure in Three Buffalo Populations of India.” Asian-Australasian Journal of Animal Sciences 19: 1071–1078. https://doi.org/10.5713/ajas.2006.1071.
- Terui, A., H. Urabe, M. Senzaki, and B. Nishizawa. 2023. “Intentional Release of Native Species Undermines Ecological Stability.” Proceedings of the National Academy of Sciences of the United States of America 120: e2218044120. https://doi.org/10.1073/pnas.2218044120.
- Thai Meteorological Department, Ministry of Digital Economy and Society. 2018. “ Annual Weather Summary Year.” https://www.tmd.go.th/en/climate/summaryyearly/2018.
- Thai Meteorological Department, Ministry of Digital Economy and Society. 2022. “ Annual Weather Summary Year.” https://www.tmd.go.th/en/climate/summaryyearly/2022.
- Thai Meteorological Department, Ministry of Digital Economy and Society. 2024. “ Annual Accumulated Rainfall 2012-2023 of Upper Northeastern Thailand.” http://www.khonkaen.tmd.go.th/climate2563/rain_normal.php.
- Vähä, J. P., J. Erkinaro, E. Niemelä, and C. R. Primmer. 2008. “Temporally Stable Genetic Structure and Low Migration in an Atlantic Salmon Population Complex: Implications for Conservation and Management.” Evolutionary Applications 1: 137–154. https://doi.org/10.1111/j.1752-4571.2007.00007.x.
- Wachirachaikarn, A., and U. Na-Nakorn. 2019. “Genetic Diversity of the North African Catfish, Clarias gariepinus (Burchell, 1822) Hatchery Stocks in Thailand. ScienceAsia.” Journal of the Science Society of Thailand 45: 301. https://doi.org/10.2306/scienceasia1513-1874.2019.45.301.
- Waples, R. S. 2022. “What Is Ne, Anyway?” Journal of Heredity 113: 371–379.
- Wattanadilokchatkun, P., A. Chaiyes, N. Ariyaraphong, et al. 2024. “Integrative Approach for Landscape Demography Analysis of Plakad-Pa Pak-Tawan-Ok (Betta Siamorientalis): Deciphering Genetic and Environmental Factors in Eastern Thailand's Conservation Efforts.” Global Ecology and Conservation 51: e02870. https://doi.org/10.1016/j.gecco.2024.e02870.
- Whan-Air, W., K. Thongprajukaew, T. Salaeharae, and K. Yoonram. 2018. “Identification of Wild and Farmed Broadhead Catfish (Clarias macrocephalus Günther, 1864) Based on Morphometry, Digestive Indexes and Flesh Quality.” Journal of Oceanology and Limnology 36: 1788–1797. https://doi.org/10.1007/s00343-018-7205-7.
- Willing, E.-M., C. Dreyer, and C. van Oosterhout. 2012. “Estimates of Genetic Differentiation Measured by FST Do Not Necessarily Require Large Sample Sizes When Using Many SNP Markers.” PLoS One 7: e42649. https://doi.org/10.1371/journal.pone.0042649.
- Wilson, G. A., and B. Rannala. 2003. “Bayesian Inference of Recent Migration Rates Using Multilocus Genotypes.” Genetics 163: 1177–1191. https://doi.org/10.1093/genetics/163.3.1177.