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Cheng R, Luo A, Orr M, Ge D, Hou Z, Qu Y, Guo B, Zhang F, Sha Z, Zhao Z, Wang M, Shi X, Han H, Zhou Q, Li Y, Liu X, Shao C, Zhang A, Zhou X, Zhu C. Cryptic diversity begets challenges and opportunities in biodiversity research. Integr Zool 2024. [PMID: 38263700 DOI: 10.1111/1749-4877.12809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
How many species of life are there on Earth? This is a question that we want to know but cannot yet answer. Some scholars speculate that the number of species may reach 2.2 billion when considering cryptic diversity and that each morphology-based insect species may contain an average of 3.1 cryptic species. With nearly two million described species, such high estimates of cryptic diversity would suggest that cryptic species are widespread. The development of molecular species delimitation has led to the discovery of a large number of cryptic species, and cryptic biodiversity has gradually entered our field of vision and attracted more attention. This paper introduces the concept of cryptic species, how they evolve, and methods by which they may be discovered and confirmed, and provides theoretical and methodological guidance for the study of hidden species. A workflow of how to confirm cryptic species is provided. In addition, the importance and reliability of multi-evidence-based integrated taxonomy are reaffirmed as a way to better standardize decision-making processes. Special focus on cryptic diversity and increased funding for taxonomy is needed to ensure that cryptic species in hyperdiverse groups are discoverable and described. An increased focus on cryptic species in the future will naturally arise as more difficult groups are studied, and thereby, we may finally better understand the rules governing the evolution and maintenance of cryptic biodiversity.
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Affiliation(s)
- Rui Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Arong Luo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Michael Orr
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Entomologie, Staatliches Museum für Naturkunde Stuttgart, Stuttgart, Germany
| | - Deyan Ge
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Zhong'e Hou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Baocheng Guo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Feng Zhang
- College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Zhongli Sha
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Zhe Zhao
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Mingqiang Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Xiaoyu Shi
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hongxiang Han
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Qingsong Zhou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yuanning Li
- Institute of Oceanography, Shandong University, Qingdao, China
| | - Xingyue Liu
- Department of Entomology, China Agricultural University, Beijing, China
| | - Chen Shao
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Aibing Zhang
- College of Life Science, Capital Normal University, Beijing, China
| | - Xin Zhou
- Department of Entomology, China Agricultural University, Beijing, China
| | - Chaodong Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Life Sciences/International College, University of Chinese Academy of Sciences, Beijing, China
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Qin F, Xue T, Zhang X, Yang X, Yu J, Gadagkar SR, Yu S. Past climate cooling and orogenesis of the Hengduan Mountains have influenced the evolution of Impatiens sect. Impatiens (Balsaminaceae) in the Northern Hemisphere. BMC PLANT BIOLOGY 2023; 23:600. [PMID: 38030965 PMCID: PMC10685625 DOI: 10.1186/s12870-023-04625-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/20/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Impatiens sect. Impatiens is distributed across the Northern Hemisphere and has diversified considerably, particularly within the Hengduan Mountains (HDM) in southwest China. Yet, the infra-sectional phylogenetic relationships are not well resolved, largely due to limited taxon sampling and an insufficient number of molecular markers. The evolutionary history of its diversification is also poorly understood. In this study, plastome data and the most complete sampling to date were used to reconstruct a robust phylogenetic framework for this section. The phylogeny was then used to investigate its biogeographical history and diversification patterns, specifically with the aim of understanding the role played by the HDM and past climatic changes in its diversification. RESULTS A stable phylogeny was reconstructed that strongly supported both the monophyly of the section and its division into seven major clades (Clades I-VII). Molecular dating and ancestral area reconstruction suggest that sect. Impatiens originated in the HDM and Southeast China around 11.76 Ma, after which different lineages dispersed to Northwest China, temperate Eurasia, and North America, mainly during the Pliocene and Pleistocene. An intercontinental dispersal event from East Asia to western North America may have occurred via the Bering Land Bridge or Aleutian Islands. The diversification rate was high during its early history, especially with the HDM, but gradually decreased over time both within and outside the HDM. Multiple linear regression analysis showed that the distribution pattern of species richness was strongly associated with elevation range, elevation, and mean annual temperature. Finally, ancestral niche analysis indicated that sect. Impatiens originated in a relatively cool, middle-elevation area. CONCLUSIONS We inferred the evolutionary history of sect. Impatiens based on a solid phylogenetic framework. The HDM was the primary source or pump of its diversity in the Northern Hemisphere. Orogeny and climate change may have also shaped its diversification rates, as a steady decrease in the diversification rate coincided with the uplift of the HDM and climate cooling. These findings provide insights into the distribution pattern of sect. Impatiens and other plants in the Northern Hemisphere.
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Affiliation(s)
- Fei Qin
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Tiantian Xue
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Xiaoxia Zhang
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
| | - Xudong Yang
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Jianghong Yu
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- College of Forestry, Guizhou University, Guiyang, 550025, China
| | - Sudhindra R Gadagkar
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Glendale, AZ, 85308, USA.
- College of Veterinary Medicine, Midwestern University, Glendale, AZ, 85308, USA.
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ, 85308, USA.
| | - Shengxiang Yu
- State Key Laboratory of Plant Diversity and Specialty Crops / State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- China National Botanical Garden, Beijing, 100093, China.
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Wang Z, Kang Y, Wang Y, Tan Y, Yao B, An K, Su J. Himalayan Marmot ( Marmota himalayana) Redistribution to High Latitudes under Climate Change. Animals (Basel) 2023; 13:2736. [PMID: 37684999 PMCID: PMC10486415 DOI: 10.3390/ani13172736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Climate warming and human activities impact the expansion and contraction of species distribution. The Himalayan marmot (Marmota himalayana) is a unique mammal and an ecosystem engineer in the Qinghai-Tibet Plateau (QTP). This pest aggravates grassland degradation and is a carrier and transmitter of plagues. Therefore, exploring the future distribution of Himalayan marmots based on climate change and human activities is crucial for ecosystem management, biodiversity conservation, and public health safety. Here, a maximum entropy model was explored to forecast changes in the distribution and centroid migration of the Himalayan marmot in the 2050s and 2070s. The results implied that the human footprint index (72.80%) and altitude (16.40%) were the crucial environmental factors affecting the potential distribution of Himalayan marmots, with moderately covered grassland being the preferred habitat of the Himalayan marmot. Over the next 30-50 years, the area of suitable habitat for the Himalayan marmot will increase slightly and the distribution center will shift towards higher latitudes in the northeastern part of the plateau. These results demonstrate the influence of climate change on Himalayan marmots and provide a theoretical reference for ecological management and plague monitoring.
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Affiliation(s)
- Zhicheng Wang
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Yukun Kang
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Yan Wang
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Yuchen Tan
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Baohui Yao
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Kang An
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
| | - Junhu Su
- College of Grassland Science, Gansu Agricultural University, Lanzhou 730070, China; (Z.W.); (K.A.)
- Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou 730070, China
- Gansu Agricultural University-Massey University Research Centre for Grassland Biodiversity, Gansu Agricultural University, Lanzhou 730070, China
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Cao B, Bai C, Wu K, La T, Su Y, Che L, Zhang M, Lu Y, Gao P, Yang J, Xue Y, Li G. Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate-correlated risk shifts of main zoonotic diseases in China. GLOBAL CHANGE BIOLOGY 2023; 29:3723-3746. [PMID: 37026556 DOI: 10.1111/gcb.16708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 03/13/2023] [Accepted: 03/18/2023] [Indexed: 06/06/2023]
Abstract
Climate has critical roles in the origin, pathogenesis and transmission of infectious zoonotic diseases. However, large-scale epidemiologic trend and specific response pattern of zoonotic diseases under future climate scenarios are poorly understood. Here, we projected the distribution shifts of transmission risks of main zoonotic diseases under climate change in China. First, we shaped the global habitat distribution of main host animals for three representative zoonotic diseases (2, 6, and 12 hosts for dengue, hemorrhagic fever, and plague, respectively) with 253,049 occurrence records using maximum entropy (Maxent) modeling. Meanwhile, we predicted the risk distribution of the above three diseases with 197,098 disease incidence records from 2004 to 2017 in China using an integrated Maxent modeling approach. The comparative analysis showed that there exist highly coincident niche distributions between habitat distribution of hosts and risk distribution of diseases, indicating that the integrated Maxent modeling is accurate and effective for predicting the potential risk of zoonotic diseases. On this basis, we further projected the current and future transmission risks of 11 main zoonotic diseases under four representative concentration pathways (RCPs) (RCP2.6, RCP4.5, RCP6.0, and RCP8.5) in 2050 and 2070 in China using the above integrated Maxent modeling with 1,001,416 disease incidence records. We found that Central China, Southeast China, and South China are concentrated regions with high transmission risks for main zoonotic diseases. More specifically, zoonotic diseases had diverse shift patterns of transmission risks including increase, decrease, and unstable. Further correlation analysis indicated that these patterns of shifts were highly correlated with global warming and precipitation increase. Our results revealed how specific zoonotic diseases respond in a changing climate, thereby calling for effective administration and prevention strategies. Furthermore, these results will shed light on guiding future epidemiologic prediction of emerging infectious diseases under global climate change.
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Affiliation(s)
- Bo Cao
- Core Research Laboratory, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Chengke Bai
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Kunyi Wu
- Core Research Laboratory, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Ting La
- National-Local Joint Engineering Research Center of Biodiagnosis & Biotherapy, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - Yiyang Su
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Lingyu Che
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Meng Zhang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Yumeng Lu
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Pufan Gao
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Jingjing Yang
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Ying Xue
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Guishuang Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, China
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Genetic Variation and Phylogeography of Lumbriculus variegatus (Annelida: Clitellata: Lumbriculidae) Based on Mitochondrial Genes. DIVERSITY 2023. [DOI: 10.3390/d15020158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Lumbriculus variegatus is a typical cold-water worm and is mainly distributed in the Tibetan Plateau and Northeast in China. The current study aimed to explore the genetic diversity and phylogeography of L. variegatus sampled from different geographical regions based on concatenated (COI + 16S rRNA, 879 bp) genes. Among 63 L. variegatus specimens, 29 haplotypes were identified with high haplotype diversity (h = 0.923) and nucleotide diversity (π = 0.062). The Bayesian phylogenetic analysis and Median-joining haplotype network revealed two lineages, or species, of L. variegatus. Taxa belonging to lineage I was mainly distributed in the Tibetan Plateau of China, North America, and Sweden, while lineage II composed taxa from Northeast China, southern China, and Sweden. The analysis of molecular variance indicated that the genetic difference was mainly due to differences between lineages. Neutrality tests showed that the overall L. variegatus have a stable population since the time of origin. Divergence time analysis suggested that L. variegatus originated from the Triassic period of Mesozoic in 235 MYA (95%HPD: 199–252 MYA), and the divergence between different lineages of L. variegatus began from the next 170 million years.
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Burns MP, Schaeffer PJ, Berg DJ. Metabolic rate and osmoregulation in desert spring amphipods. CAN J ZOOL 2022. [DOI: 10.1139/cjz-2021-0195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Desert springs contain many endemic taxa and are of conservation concern due to anthropogenic activities that are expected to increase environmental salinity. Understanding the nature of osmoregulation is necessary to predict how non-vagile aquatic organisms will respond to changes. In the Chihuahuan Desert, the amphipod genus Gammarus Fabricius, 1775 is composed of two lineages. These lineages have species that currently inhabit springs ranging from 0.4 to 7.8 parts per thousand (ppt). All Gammarus in this region are of conservation concern because each is endemic to a single spring system. We exposed individuals of Gammarus colei Walters, Cannizzaro, and Berg in Walters, Cannizzaro, Trujillo and Berg, 2020 and Gammarus seideli Cannizzaro, Walters and Berg, 2018 species occupying low-salinity springs, to the range of salinities found in the Chihuahuan Desert. We measured metabolic rates as [Formula: see text] to examine the energetic cost of osmoregulation. We also measured the hemolymph osmolality of G. colei and compared that with the isosmotic line to determine the degree of osmoregulation. Neither species increased its metabolic rate across increasing salinities. However, G. colei showed an increase in hemolymph osmolality. Despite the divergence (∼66 million years ago) between the two lineages, it appears their physiological tolerances have converged, suggesting that both lineages may be able to persist when exposed to moderate salinity changes.
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Affiliation(s)
| | | | - David J. Berg
- Department of Biology, Miami University, Hamilton, OH 45011, USA
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Drozdova P, Saranchina A, Madyarova E, Gurkov A, Timofeyev M. Experimental Crossing Confirms Reproductive Isolation between Cryptic Species within Eulimnogammarus verrucosus (Crustacea: Amphipoda) from Lake Baikal. Int J Mol Sci 2022; 23:ijms231810858. [PMID: 36142769 PMCID: PMC9506054 DOI: 10.3390/ijms231810858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/26/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
Ancient lakes are known speciation hotspots. One of the most speciose groups in the ancient Lake Baikal are gammaroid amphipods (Crustacea: Amphipoda: Gammaroidea). There are over 350 morphological species and subspecies of amphipods in Baikal, but the extent of cryptic variation is still unclear. One of the most common species in the littoral zone of the lake, Eulimnogammarus verrucosus (Gerstfeldt, 1858), was recently found to comprise at least three (pseudo)cryptic species based on molecular data. Here, we further explored these species by analyzing their mitogenome-based phylogeny, genome sizes with flow cytometry, and their reproductive compatibility. We found divergent times of millions of years and different genome sizes in the three species (6.1, 6.9 and 8 pg), further confirming their genetic separation. Experimental crossing of the western and southern species, which are morphologically indistinguishable and have adjacent ranges, showed their separation with a post-zygotic reproductive barrier, as hybrid embryos stopped developing roughly at the onset of gastrulation. Thus, the previously applied barcoding approach effectively indicated the separate biological species within E. verrucosus. These results provide new data for investigating genome evolution and highlight the need for precise tracking of the sample origin in any studies in this morphospecies.
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Affiliation(s)
- Polina Drozdova
- Institute of Biology, Irkutsk State University, 664025 Irkutsk, Russia
- Baikal Research Centre, 664011 Irkutsk, Russia
- Correspondence: (P.D.); (M.T.)
| | | | | | - Anton Gurkov
- Institute of Biology, Irkutsk State University, 664025 Irkutsk, Russia
- Baikal Research Centre, 664011 Irkutsk, Russia
| | - Maxim Timofeyev
- Institute of Biology, Irkutsk State University, 664025 Irkutsk, Russia
- Baikal Research Centre, 664011 Irkutsk, Russia
- Correspondence: (P.D.); (M.T.)
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