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Zhang LJ, Liu Y, Wang YL, Xie LL, Wang XY, Ma YS. Population genetic diversity and structure of Tephritis angustipennis and Campiglossa loewiana (Diptera: Tephritidae) based on COI DNA barcodes in the three-river source region, China. JOURNAL OF INSECT SCIENCE (ONLINE) 2024; 24:7. [PMID: 39023176 PMCID: PMC11255870 DOI: 10.1093/jisesa/ieae075] [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: 02/26/2024] [Revised: 06/26/2024] [Accepted: 07/04/2024] [Indexed: 07/20/2024]
Abstract
Tephritis angustipennis (Diptera: Tephritidae) and Campiglossa loewiana (Diptera: Tephritidae) are phytophagous pests in China. Their damage has significantly impacted the collection and cultivation of germplasm resources of native Asteraceae plants. However, the genetic characteristics and structure of their population are unclear. This study focused on the highly damaging species of T. angustipennis and C. loewiana collected from the three-river source region (TRSR). We amplified the mitochondrial cytochrome C oxidase subunit I (mtCOI) gene sequences of these pests collected from this area and compared them with COI sequences from GenBank. We also analyzed their genetic diversity and structure. In T. angustipennis, 5 haplotypes were identified from 5 geographic locations; the genetic differentiation between France population FRPY (from Nylandia, Uusimaa) and China populations GLJZ (from Dehe Longwa Village, Maqin County), GLDR (from Zhique Village, Dari County), and GLMQ (from Rijin Village, Maqin County) was the strongest. GLJZ exhibited strong genetic differentiation from GLDR and GLMQ, with relatively low gene flow. For C. loewiana, 11 haplotypes were identified from 5 geographic locations; the genetic differentiation between the Chinese population GLMQ-YY (from Yangyu Forest Farm, Maqin County) and Finnish population FDNL (from Nylandia, Uusimaa) was the strongest, with relatively low gene flow, possibly due to geographical barriers in the Qinghai-Tibet plateau. Only 1 haplotype was identified across GLDR, GLMQ, and GLBM. High gene flow between distant locations indicates that human activities or wind dispersal may facilitate the dispersal of fruit flies and across different geographic. Geostatistical analysis suggested a recent population expansion of these 2 species in TRSR. Our findings provide technical references for identifying pests in the TRSR region and theoretical support for managing resistance, monitoring pest occurrences, analyzing environmental adaptability, and formulating biological control strategies for Tephritidae pests on Asteraceae plants.
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Affiliation(s)
- Li-Jun Zhang
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
| | - Ying Liu
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
| | - Yan-Long Wang
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
| | - Le-Le Xie
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
| | - Xin-You Wang
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
| | - Yu-Shou Ma
- Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau, Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, Qinghai, China
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Zou Y, Chernyaev A, Ossama M, Seisko S, Lundström M. Leaching of NMC industrial black mass in the presence of LFP. Sci Rep 2024; 14:10818. [PMID: 38734772 PMCID: PMC11088664 DOI: 10.1038/s41598-024-61569-3] [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: 01/22/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024] Open
Abstract
This study focuses on the effect of an emerging source of waste, lithium iron phosphate (LFP) cathode materials, on the hydrometallurgical recycling of the currently dominant industrial battery waste that is rich in transition metals (Ni, Co, Mn, and Li). The effects of the dosage of LFP, initial acidity, and timing of LFP reductant addition were investigated in sulfuric acid (H2SO4) leaching (t = 3 h, T = 60 °C, ω = 300 rpm). The results showed that addition of LFP increased both transition metal extraction and acid consumption. Further, the redox potential was lowered due to the increased presence of Fe2+. An initial acidity of 2.0 mol/L H2SO4 with acid consumption of 1.3 kg H2SO4/kg black mass provided optimal conditions for achieving a high leaching yield (Co = 100%, Ni = 87.6%, Mn = 91.1%, Li = 100%) and creating process solutions (Co 8.8 g/L, Ni 13.8 g/L, Li 6.7 g/L, Mn 7.6 g/L, P 12.1 g/L) favorable for subsequent hydrometallurgical processing. Additionally, the overall efficiency of H2O2 decreased due to its decomposition by high concentrations of Fe2+ and Mn2+ when H2O2 was added after t = 2 h, leading to only a minor increase in final battery metals extraction levels.
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Affiliation(s)
- Yuanmin Zou
- Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 00076, Aalto, Finland
| | - Alexander Chernyaev
- Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 00076, Aalto, Finland
- Metso Outotec Research Center, Kuparitie 10, 28101, Pori, Finland
| | - Muhammad Ossama
- Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 00076, Aalto, Finland
| | - Sipi Seisko
- Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 00076, Aalto, Finland
| | - Mari Lundström
- Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 00076, Aalto, Finland.
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Modeel S, Negi RK, Sharma M, Dolkar P, Yadav S, Siwach S, Yadav P, Negi T. A comprehensive DNA barcoding of Indian freshwater fishes of the Indus River system, Beas. Sci Rep 2024; 14:2763. [PMID: 38307873 PMCID: PMC10837433 DOI: 10.1038/s41598-024-52519-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 01/19/2024] [Indexed: 02/04/2024] Open
Abstract
The Beas River is one of the important rivers of the Indus River system located in Himachal Pradesh, India, that harbors a diverse range of freshwater fish species. The present study employed COI gene to investigate the ichthyofaunal diversity of river Beas. Through the sequencing of 203 specimens from Beas River, we identified 43 species, belonging to 31 genera, 16 families, and 10 orders. To analyze the genetic divergence and phylogeny of identified species, 485 sequences of Indian origin were retrieved from BOLD, resulting in a dataset of 688 sequences. Our findings consistently revealed a hierarchical increase in the mean K2P genetic divergence within species (0.80%), genus (9.06%), and families (15.35%). Automated Barcode Gap discovery, Neighbour Joining, and Bayesian inference consensus tree methodologies were employed to determine the putative species and their phylogeny, successfully delimiting most of the species with only a few exceptions. The results unveiled six species exhibiting high intra-species divergence (> 2%), suggesting the presence of sibling species and falsely identified sequences on online databases. The present study established the first DNA barcoding-based inventory of freshwater fish species in the Beas River providing comprehensive insights into economically exploited endangered and vulnerable species. In order to ensure the sustainable use of aquatic resources in the Beas River, we recommend the implementation of species measures to protect biodiversity and genetic resources.
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Affiliation(s)
- Sonakshi Modeel
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Ram Krishan Negi
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India.
| | - Monika Sharma
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Padma Dolkar
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Sheetal Yadav
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Sneha Siwach
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Pankaj Yadav
- Fish Molecular Biology Lab, Department of Zoology, University of Delhi, North Campus, Delhi, 110007, India
| | - Tarana Negi
- Department of Zoology, Govt. College Dujana, District Jhajjar, Beri, Haryana, India
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Diaz-Recio Lorenzo C, Patel T, Arsenault-Pernet EJ, Poitrimol C, Jollivet D, Martinez Arbizu P, Gollner S. Highly structured populations of deep-sea copepods associated with hydrothermal vents across the Southwest Pacific, despite contrasting life history traits. PLoS One 2023; 18:e0292525. [PMID: 37930986 PMCID: PMC10627453 DOI: 10.1371/journal.pone.0292525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 09/22/2023] [Indexed: 11/08/2023] Open
Abstract
Hydrothermal vents are extreme environments, where abundant communities of copepods with contrasting life history traits co-exist along hydrothermal gradients. Here, we discuss how these traits may contribute to the observed differences in molecular diversity and population genetic structure. Samples were collected from vent locations across the globe including active ridges and back-arc basins and compared to existing deep-sea hydrothermal vent and shallow water data, covering a total of 22 vents and 3 non-vent sites. A total of 806 sequences of mtDNA from the Cox1 gene were used to reconstruct the phylogeny, haplotypic relationship and demography within vent endemic copepods (Dirivultidae, Stygiopontius spp.) and non-vent-endemic copepods (Ameiridae, Miraciidae and Laophontidae). A species complex within Stygiopontius lauensis was studied across five pacific back-arc basins at eight hydrothermal vent fields, with cryptic species being restricted to the basins they were sampled from. Copepod populations from the Lau, North Fiji and Woodlark basins are undergoing demographic expansion, possibly linked to an increase in hydrothermal activity in the last 10 kya. Highly structured populations of Amphiascus aff. varians 2 were also observed from the Lau to the Woodlark basins with populations also undergoing expansion. Less abundant harpacticoids exhibit little to no population structure and stable populations. This study suggests that similarities in genetic structure and demography may arise in vent-associated copepods despite having different life history traits. As structured meta-populations may be at risk of local extinction should major anthropogenic impacts, such as deep-sea mining, occur, we highlight the importance of incorporating a trait-based approach to investigate patterns of genetic connectivity and demography, particularly regarding area-based management tools and environmental management plans.
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Affiliation(s)
- Coral Diaz-Recio Lorenzo
- NIOZ Royal Netherlands Institute for Sea Research, ‘t Horntje (Texel), The Netherlands
- Utrecht University, Utrecht, The Netherlands
- Adaptation et Diversité en Milieu Marin (AD2M), Station Biologique de Roscoff, Sorbonne Université, CNRS, Roscoff, France
| | - Tasnim Patel
- Royal Belgian Institute of Natural Sciences, Brussels, Belgium
| | - Eve-Julie Arsenault-Pernet
- Biologie et Ecologie des Ecosystèmes marins Profonds (UMR BEEP UBO-CNRS-IFREMER), IFREMER Centre de Bretagne, Plouzané, France
| | - Camille Poitrimol
- Adaptation et Diversité en Milieu Marin (AD2M), Station Biologique de Roscoff, Sorbonne Université, CNRS, Roscoff, France
- Biologie et Ecologie des Ecosystèmes marins Profonds (UMR BEEP UBO-CNRS-IFREMER), IFREMER Centre de Bretagne, Plouzané, France
| | - Didier Jollivet
- Adaptation et Diversité en Milieu Marin (AD2M), Station Biologique de Roscoff, Sorbonne Université, CNRS, Roscoff, France
| | - Pedro Martinez Arbizu
- Senckenberg am Meer, German Center for Marine Biodiversity Research, Wilhelmshaven, Germany
| | - Sabine Gollner
- NIOZ Royal Netherlands Institute for Sea Research, ‘t Horntje (Texel), The Netherlands
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Jiang B, Zhang J, Bai X, Zhang Y, Yao Y, Li J, Yu G, He S, Sun Y, Mikolajewski DJ. Genetic variation and population structure of a widely distributed damselfly (Ischnura senegalensis). ARCHIVES OF INSECT BIOCHEMISTRY AND PHYSIOLOGY 2023; 114:1-14. [PMID: 37032456 DOI: 10.1002/arch.22015] [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: 12/06/2022] [Revised: 03/12/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
Ischnura senegalensis Rambur, 1842 is among the most widespread damselfly species in the world. Unlike dragonflies with strong migration abilities, I. senegalensis have limited dispersing abilities. Gene flow among I. senegalensis populations may be greatly influenced by anthropogenic disturbance, fragmented suitable habitats, sea straits, or even global warming. In this study, to investigate the genetic diversity of I. senegalensis populations, we sequenced and collected 498 cytochrome oxidase I sequences across the Old World. Haplotype network analysis showed 51 haplotypes and I. senegalensis could be grouped into four regions (Afrotropical region, Oriental region, main Islands of Japan, and the Ryukyu Islands), each of which contains different dominant haplotypes. Based on molecular variance analysis, we found that populations from the Afrotropical region have quite a low gene flow with the Asian populations (except Yemen). Furthermore, rice cultivation may aid the dispersion of I. senegalensis in the oriental region. Populations from the Ryukyu Islands show the highest genetic diversity, which may be due to the geological separation among islands. Our results prove that I. senegalensis has great genetic diversity among different populations across the world.
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Affiliation(s)
- Bin Jiang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Jiang Zhang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Xinrui Bai
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yongmei Zhang
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Yu Yao
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Jia Li
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Guozhi Yu
- College of Life Science, Sichuan Agricultural University, Ya'an, China
| | - Shulin He
- College of Life Sciences, Chongqing Normal University, Chongqing, China
| | - Yang Sun
- Anhui Provincial Key Laboratory of the Conservation and Exploitation of Biological Resources, College of Life Sciences, Anhui Normal University, Wuhu, China
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