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Zhou T, Chen X, López-Pujol J, Bai G, Herrando-Moraira S, Nualart N, Zhang X, Zhao Y, Zhao G. Genetically- and environmentally-dependent processes drive interspecific and intraspecific divergence in the Chinese relict endemic genus Dipteronia. PLANT DIVERSITY 2024; 46:585-599. [PMID: 39290880 PMCID: PMC11403150 DOI: 10.1016/j.pld.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 04/15/2024] [Accepted: 04/19/2024] [Indexed: 09/19/2024]
Abstract
China is a hotspot of relict plant species that were once widespread throughout the Northern Hemisphere. Recent research has demonstrated that the occurrence of long-term stable refugia in the mountainous regions of central and south-western China allowed their persistence through the late Neogene climate fluctuations. One of these relict lineages is Dipteronia, an oligotypic tree genus with a fossil record extending to the Paleocene. Here, we investigated the genetic variability, demographic dynamics and diversification patterns of the two currently recognized Dipteronia species (D ipteronia sinensis and D . dyeriana). Molecular data were obtained from 45 populations of Dipteronia by genotyping three cpDNA regions, two single copy nuclear genes and 15 simple sequence repeat loci. The genetic study was combined with niche comparison analyses on the environmental space, ecological niche modeling, and landscape connectivity analysis. We found that the two Dipteronia species have highly diverged both in genetic and ecological terms. Despite the incipient speciation processes that can be observed in D. sinensis, the occurrence of long-term stable refugia and, particularly, a dispersal corridor along Daba Shan-west Qinling, likely ensured its genetic and ecological integrity to date. Our study will not only help us to understand how populations of Dipteronia species responded to the tectonic and climatic changes of the Cenozoic, but also provide insight into how Arcto-Tertiary relict plants in East Asia survived, evolved, and diversified.
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Affiliation(s)
- Tao Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an 710069, China
- School of Pharmacy, Xi'an Jiaotong University, Xi'an 710061, China
| | - Xiaodan Chen
- College of Life Science, Shanxi Normal University, Taiyuan, China
| | - Jordi López-Pujol
- Botanic Institute of Barcelona (IBB), CSIC-CMCNB, Barcelona 08038, Catalonia, Spain
- Escuela de Ciencias Ambientales, Universidad Espíritu Santo (UEES), Samborondón 091650, Ecuador
| | - Guoqing Bai
- Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Xi'an 710061, China
| | | | - Neus Nualart
- Botanic Institute of Barcelona (IBB), CSIC-CMCNB, Barcelona 08038, Catalonia, Spain
| | - Xiao Zhang
- Shaanxi Engineering Research Centre for Conservation and Utilization of Botanical Resources, Xi'an Botanical Garden of Shaanxi Province, Xi'an 710061, China
| | - Yuemei Zhao
- School of Biological Sciences, Guizhou Education University, Guiyang, China
| | - Guifang Zhao
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an 710069, China
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2
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Zhang F, Long R, Ma Z, Xiao H, Xu X, Liu Z, Wei C, Wang Y, Peng Y, Yang X, Shi X, Cao S, Li M, Xu M, He F, Jiang X, Zhang T, Wang Z, Li X, Yu LX, Kang J, Zhang Z, Zhou Y, Yang Q. Evolutionary genomics of climatic adaptation and resilience to climate change in alfalfa. MOLECULAR PLANT 2024; 17:867-883. [PMID: 38678365 DOI: 10.1016/j.molp.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 04/09/2024] [Accepted: 04/24/2024] [Indexed: 04/29/2024]
Abstract
Given the escalating impact of climate change on agriculture and food security, gaining insights into the evolutionary dynamics of climatic adaptation and uncovering climate-adapted variation can empower the breeding of climate-resilient crops to face future climate change. Alfalfa (Medicago sativa subsp. sativa), the queen of forages, shows remarkable adaptability across diverse global environments, making it an excellent model for investigating species responses to climate change. In this study, we performed population genomic analyses using genome resequencing data from 702 accessions of 24 Medicago species to unravel alfalfa's climatic adaptation and genetic susceptibility to future climate change. We found that interspecific genetic exchange has contributed to the gene pool of alfalfa, particularly enriching defense and stress-response genes. Intersubspecific introgression between M. sativa subsp. falcata (subsp. falcata) and alfalfa not only aids alfalfa's climatic adaptation but also introduces genetic burden. A total of 1671 genes were associated with climatic adaptation, and 5.7% of them were introgressions from subsp. falcata. By integrating climate-associated variants and climate data, we identified populations that are vulnerable to future climate change, particularly in higher latitudes of the Northern Hemisphere. These findings serve as a clarion call for targeted conservation initiatives and breeding efforts. We also identified pre-adaptive populations that demonstrate heightened resilience to climate fluctuations, illuminating a pathway for future breeding strategies. Collectively, this study enhances our understanding about the local adaptation mechanisms of alfalfa and facilitates the breeding of climate-resilient alfalfa cultivars, contributing to effective agricultural strategies for facing future climate change.
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Affiliation(s)
- Fan Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China; National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Ruicai Long
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhiyao Ma
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Hua Xiao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Xiaodong Xu
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Zhongjie Liu
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Chunxue Wei
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Yiwen Wang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Yanling Peng
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Xuanwen Yang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Xiaoya Shi
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Shuo Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Mingna Li
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Xu
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Fei He
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xueqian Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tiejun Zhang
- School of Grassland Science, Beijing Forestry University, Beijing 100083, China
| | - Zhen Wang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Xianran Li
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163, USA
| | - Long-Xi Yu
- U.S. Department of Agriculture-Agricultural Research Service, Plant Germplasm Introduction and Testing Research, Prosser, WA 99350, USA
| | - Junmei Kang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhiwu Zhang
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99163, USA
| | - Yongfeng Zhou
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China; National Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
| | - Qingchuan Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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3
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Yang X, Su Y, Huang S, Hou Q, Wei P, Hao Y, Huang J, Xiao H, Ma Z, Xu X, Wang X, Cao S, Cao X, Zhang M, Wen X, Ma Y, Peng Y, Zhou Y, Cao K, Qiao G. Comparative population genomics reveals convergent and divergent selection in the apricot-peach-plum-mei complex. HORTICULTURE RESEARCH 2024; 11:uhae109. [PMID: 38883333 PMCID: PMC11179850 DOI: 10.1093/hr/uhae109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 04/06/2024] [Indexed: 06/18/2024]
Abstract
The economically significant genus Prunus includes fruit and nut crops that have been domesticated for shared and specific agronomic traits; however, the genomic signals of convergent and divergent selection have not been elucidated. In this study, we aimed to detect genomic signatures of convergent and divergent selection by conducting comparative population genomic analyses of the apricot-peach-plum-mei (APPM) complex, utilizing a haplotype-resolved telomere-to-telomere (T2T) genome assembly and population resequencing data. The haplotype-resolved T2T reference genome for the plum cultivar was assembled through HiFi and Hi-C reads, resulting in two haplotypes 251.25 and 251.29 Mb in size, respectively. Comparative genomics reveals a chromosomal translocation of ~1.17 Mb in the apricot genomes compared with peach, plum, and mei. Notably, the translocation involves the D locus, significantly impacting titratable acidity (TA), pH, and sugar content. Population genetic analysis detected substantial gene flow between plum and apricot, with introgression regions enriched in post-embryonic development and pollen germination processes. Comparative population genetic analyses revealed convergent selection for stress tolerance, flower development, and fruit ripening, along with divergent selection shaping specific crop, such as somatic embryogenesis in plum, pollen germination in mei, and hormone regulation in peach. Notably, selective sweeps on chromosome 7 coincide with a chromosomal collinearity from the comparative genomics, impacting key fruit-softening genes such as PG, regulated by ERF and RMA1H1. Overall, this study provides insights into the genetic diversity, evolutionary history, and domestication of the APPM complex, offering valuable implications for genetic studies and breeding programs of Prunus crops.
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Affiliation(s)
- Xuanwen Yang
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Ying Su
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Xinjiang, Urumqi 830046, China
| | - Siyang Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qiandong Hou
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Pengcheng Wei
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Yani Hao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
| | - Jiaqi Huang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Hua Xiao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Zhiyao Ma
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaodong Xu
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xu Wang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Shuo Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuejing Cao
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Mengyan Zhang
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xiaopeng Wen
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
| | - Yuhua Ma
- Institute of Pomology Science, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Yanling Peng
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yongfeng Zhou
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
- National Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 570100, China
| | - Ke Cao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Science, Zhengzhou 450009, China
| | - Guang Qiao
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Institute of Agro-bioengineering/College of Life Sciences, Guizhou University, Guiyang 550025, China
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Zhao W, Gao J, Hall D, Andersson BA, Bruxaux J, Tomlinson KW, Drouzas AD, Suyama Y, Wang XR. Evolutionary radiation of the Eurasian Pinus species under pervasive gene flow. THE NEW PHYTOLOGIST 2024. [PMID: 38515228 DOI: 10.1111/nph.19694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/04/2024] [Indexed: 03/23/2024]
Abstract
Evolutionary radiation, a pivotal aspect of macroevolution, offers valuable insights into evolutionary processes. The genus Pinus is the largest genus in conifers withc . $$ c. $$ 90% of the extant species emerged in the Miocene, which signifies a case of rapid diversification. Despite this remarkable history, our understanding of the mechanisms driving radiation within this expansive genus has remained limited. Using exome capture sequencing and a fossil-calibrated phylogeny, we investigated the divergence history, niche diversification, and introgression among 13 closely related Eurasian species spanning climate zones from the tropics to the boreal Arctic. We detected complex introgression among lineages in subsection Pinus at all stages of the phylogeny. Despite this widespread gene exchange, each species maintained its genetic identity and showed clear niche differentiation. Demographic analysis unveiled distinct population histories among these species, which further influenced the nucleotide diversity and efficacy of purifying and positive selection in each species. Our findings suggest that radiation in the Eurasian pines was likely fueled by interspecific recombination and further reinforced by their adaptation to distinct environments. Our study highlights the constraints and opportunities for evolutionary change, and the expectations of future adaptation in response to environmental changes in different lineages.
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Affiliation(s)
- Wei Zhao
- Department of Ecology and Environmental Science, Umeå Plant Science Center, Umeå University, Umeå, SE-90187, Sweden
| | - Jie Gao
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666303, China
| | - David Hall
- Forestry Research Institute of Sweden (Skogforsk), Sävar, SE-91833, Sweden
| | - Bea Angelica Andersson
- Department of Ecology and Environmental Science, Umeå Plant Science Center, Umeå University, Umeå, SE-90187, Sweden
| | - Jade Bruxaux
- Department of Ecology and Environmental Science, Umeå Plant Science Center, Umeå University, Umeå, SE-90187, Sweden
| | - Kyle W Tomlinson
- Center for Integrative Conservation & Yunnan Key Laboratory for Conservation of Tropical Rainforests and Asian Elephant, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666303, China
| | - Andreas D Drouzas
- Laboratory of Systematic Botany and Phytogeography, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece
| | - Yoshihisa Suyama
- Graduate School of Agricultural Science, Tohoku University, Miyagi, 989-6711, Japan
| | - Xiao-Ru Wang
- Department of Ecology and Environmental Science, Umeå Plant Science Center, Umeå University, Umeå, SE-90187, Sweden
- National Engineering Research Center of Tree Breeding and Ecological Restoration, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
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Zhang TT, Yan CL, Qiao JX, Yang AS, Liu ML, Kou YX, Li ZH. Demographic dynamics and molecular evolution of the rare and endangered subsect. Gerardianae of Pinus: insights from chloroplast genomes and mitochondrial DNA markers. PLANTA 2024; 259:45. [PMID: 38281265 DOI: 10.1007/s00425-023-04316-8] [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: 07/11/2023] [Accepted: 12/21/2023] [Indexed: 01/30/2024]
Abstract
MAIN CONCLUSION The divergence of subsect. Gerardianae was likely triggered by the uplift of the Qinghai-Tibetan Plateau and adjacent mountains. Pinus bungeana might have probably experienced expansion since Last Interglacial period. Historical geological and climatic oscillations have profoundly affected patterns of nucleotide variability, evolutionary history, and species divergence in numerous plants of the Northern Hemisphere. However, how long-lived conifers responded to geological and climatic fluctuations in East Asia remain poorly understood. Here, based on paternally inherited chloroplast genomes and maternally inherited mitochondrial DNA markers, we investigated the population demographic history and molecular evolution of subsect. Gerardianae (only including three species, Pinus bungeana, P. gerardiana, and P. squamata) of Pinus. A low level of nucleotide diversity was found in P. bungeana (π was 0.00016 in chloroplast DNA sequences, and 0.00304 in mitochondrial DNAs). The haplotype-based phylogenetic topology and unimodal distributions of demographic analysis suggested that P. bungeana probably originated in the southern Qinling Mountains and experienced rapid population expansion since Last Interglacial period. Phylogenetic analysis revealed that P. gerardiana and P. squamata had closer genetic relationship. The species divergence of subsect. Gerardianae occurred about 27.18 million years ago (Mya) during the middle to late Oligocene, which was significantly associated with the uplift of the Qinghai-Tibetan Plateau and adjacent mountains from the Eocene to the mid-Pliocene. The molecular evolutionary analysis showed that two chloroplast genes (psaI and ycf1) were under positive selection, the genetic lineages of P. bungeana exhibited higher transition and nonsynonymous mutations, which were involved with the strongly environmental adaptation. These findings shed light on the population evolutionary history of white pine species and provide striking insights for comprehension of their species divergence and molecular evolution.
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Affiliation(s)
- Ting-Ting Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Chun-Li Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Jin-Xia Qiao
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Ao-Shuang Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Mi-Li Liu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China
| | - Yi-Xuan Kou
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Zhong-Hu Li
- Key Laboratory of Resource Biology and Biotechnology in Western China (Ministry of Education), College of Life Sciences, Northwest University, Xi'an, 710069, China.
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Kou Y, Fan D, Cheng S, Yang Y, Wang M, Wang Y, Zhang Z. Peripatric speciation within Torreya fargesii (Taxaceae) in the Hengduan Mountains inferred from multi-loci phylogeography. BMC Ecol Evol 2023; 23:74. [PMID: 38087226 PMCID: PMC10714551 DOI: 10.1186/s12862-023-02183-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The Hengduan Mountains (HDM) are one of the major global biodiversity hotspots in the world. Several evolutionary scenarios, especially in-situ diversification, have been proposed to account for the high species richness of temperate plants. However, peripatric speciation, an important mode of allopatric speciation, has seldom been reported in this region. RESULTS Here, two chloroplast DNA regions and 14 nuclear loci were sequenced for 112 individuals from 10 populations of Torreya fargesii var. fargesii and 63 individuals from 6 populations of T. fargesii var. yunnanensis. Population genetic analyses revealed that the two varieties are well differentiated genetically (FST, 0.5765) and have uneven genetic diversity (π, 0.00221 vs. 0.00073 on an average of nuclear loci). The gene genealogical relationship showed that T. fargesii var. yunnanensis is inferred as derived from T. fargesii var. fargesii, which was further supported by the coalescent simulations (DIYABC, fastsimcoal2 and IMa2). By the coalescent simulations, the divergence time (~ 2.50-3.65 Ma) and the weak gene flow between the two varieties were detected. The gene flow was asymmetrical and only occurred in later stages of divergence, which is caused by second contact due to the population expansion (~ 0.61 Ma) in T. fargesii var. fargesii. In addition, niche modeling indicated that the two varieties are differentiated geographically and ecologically and have unbalanced distribution range. CONCLUSIONS Overall, T. fargesii var. fargesii is always parapatric with respect to T. fargesii var. yunnanensis, and the latter derived from the former in peripatry of the HDM following a colonization from central China during the late Pliocene. Our findings demonstrate that peripatric speciation following dispersal events may be an important evolutionary scenario for the formation of biodiversity hotspot of the HDM.
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Affiliation(s)
- Yixuan Kou
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection, Guangxi Normal University, Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, Guilin, China
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Dengmei Fan
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Shanmei Cheng
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Yi Yang
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Meixia Wang
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Yujin Wang
- State Key Laboratory of Grassland Agro-Ecosystems, School of Life Sciences, Lanzhou University, Lanzhou, China.
| | - Zhiyong Zhang
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection, Guangxi Normal University, Ministry of Education, Guilin, China.
- Guangxi Key Laboratory of Landscape Resources Conservation and Sustainable Utilization in Lijiang River Basin, Guangxi Normal University, Guilin, China.
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China.
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7
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Feng S, Xi E, Wan W, Ru D. Genomic signals of local adaptation in Picea crassifolia. BMC PLANT BIOLOGY 2023; 23:534. [PMID: 37919677 PMCID: PMC10623705 DOI: 10.1186/s12870-023-04539-7] [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: 07/12/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Global climate change poses a grave threat to biodiversity and underscores the importance of identifying the genes and corresponding environmental factors involved in the adaptation of tree species for the purposes of conservation and forestry. This holds particularly true for spruce species, given their pivotal role as key constituents of the montane, boreal, and sub-alpine forests in the Northern Hemisphere. RESULTS Here, we used transcriptomes, species occurrence records, and environmental data to investigate the spatial genetic distribution of and the climate-associated genetic variation in Picea crassifolia. Our comprehensive analysis employing ADMIXTURE, principal component analysis (PCA) and phylogenetic methodologies showed that the species has a complex population structure with obvious differentiation among populations in different regions. Concurrently, our investigations into isolation by distance (IBD), isolation by environment (IBE), and niche differentiation among populations collectively suggests that local adaptations are driven by environmental heterogeneity. By integrating population genomics and environmental data using redundancy analysis (RDA), we identified a set of climate-associated single-nucleotide polymorphisms (SNPs) and showed that environmental isolation had a more significant impact than geographic isolation in promoting genetic differentiation. We also found that the candidate genes associated with altitude, temperature seasonality (Bio4) and precipitation in the wettest month (Bio13) may be useful for forest tree breeding. CONCLUSIONS Our findings deepen our understanding of how species respond to climate change and highlight the importance of integrating genomic and environmental data in untangling local adaptations.
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Affiliation(s)
- Shuo Feng
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, People's Republic of China.
| | - Erning Xi
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, People's Republic of China
| | - Wei Wan
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, People's Republic of China
| | - Dafu Ru
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou, 730000, People's Republic of China.
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8
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Lü Z, Liu T, Liu Y, Wang Y, Liu J, Liu B, Gong L, Liu L. Climate Adaptation and Drift Shape the Genomes of Two Eel-Goby Sister Species Endemic to Contrasting Latitude. Animals (Basel) 2023; 13:3240. [PMID: 37893964 PMCID: PMC10603712 DOI: 10.3390/ani13203240] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 10/12/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Deciphering the role of climate adaptation in generating genetic divergence and hence speciation is a central question in evolution. Comparisons of genomes of closely related species spanning selective climate gradients are particularly informative in discerning the signatures of selection and thereby providing valuable information concerning the role of climate adaptation in speciation. Here we re-sequenced 99 genomes of the two sister eel-goby species Odontamblyopus lacepedii and O. rebecca, which are endemic to tidal mudflats spanning contrasting latitude gradients, to estimate the influence of divergent climate selection on shaping genome-wide patterns of divergence. The results indicated that genome-wide differentiation between the two species was evident (genome-wide FST = 0.313). Against a background of high baseline genomic divergence, 588 and 1202 elevated divergent loci were detected to be widespread throughout their genomes, as opposed to focused within small islands of genomic regions. These patterns of divergence may arise from divergent climate selection in addition to genetic drift acting through past glacial segregation (1.46 million years ago). We identified several candidate genes that exhibited elevated divergence between the two species, including genes associated with substance metabolism, energy production, and response to environmental cues, all putative candidates closely linked to thermal adaptation expected from the latitude gradient. Interestingly, several candidates related to gamete recognition and time of puberty, and also exhibited elevated divergence, indicating their possible role in pre-zygote isolation and speciation of the two species. Our results would expand our knowledge on the roles of latitude climate adaptation and genetic drift in generating and maintaining biodiversity in marine teleosts.
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Affiliation(s)
- Zhenming Lü
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Tianwei Liu
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Yantao Liu
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Yuzhen Wang
- National Engineering Research Center for Facilitated Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316022, China;
| | - Jing Liu
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Bingjian Liu
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Li Gong
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
| | - Liqin Liu
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, College of Marine Sciences and Technology, Zhejiang Ocean University, Zhoushan 316022, China; (Z.L.); (T.L.); (Y.L.); (J.L.); (B.L.); (L.G.)
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9
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Xiao H, Liu Z, Wang N, Long Q, Cao S, Huang G, Liu W, Peng Y, Riaz S, Walker AM, Gaut BS, Zhou Y. Adaptive and maladaptive introgression in grapevine domestication. Proc Natl Acad Sci U S A 2023; 120:e2222041120. [PMID: 37276420 PMCID: PMC10268302 DOI: 10.1073/pnas.2222041120] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/24/2023] [Indexed: 06/07/2023] Open
Abstract
Domesticated grapevines spread to Europe around 3,000 years ago. Previous studies have revealed genomic signals of introgression from wild to cultivated grapes in Europe, but the time, mode, genomic pattern, and biological effects of these introgression events have not been investigated. Here, we studied resequencing data from 345 samples spanning the distributional range of wild (Vitis vinifera ssp. sylvestris) and cultivated (V. vinifera ssp. vinifera) grapes. Based on machine learning-based population genetic analyses, we detected evidence for a single domestication of grapevine, followed by continuous gene flow between European wild grapes (EU) and cultivated grapes over the past ~2,000 y, especially from EU to wine grapes. We also inferred that soft-selective sweeps were the dominant signals of artificial selection. Gene pathways associated with the synthesis of aromatic compounds were enriched in regions that were both selected and introgressed, suggesting EU wild grapes were an important resource for improving the flavor of cultivated grapes. Despite the potential benefits of introgression in grape improvement, the introgressed fragments introduced a higher deleterious burden, with most deleterious SNPs and structural variants hidden in a heterozygous state. Cultivated wine grapes have benefited from adaptive introgression with wild grapes, but introgression has also increased the genetic load. In general, our study of beneficial and harmful effects of introgression is critical for genomic breeding of grapevine to take advantage of wild resources.
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Affiliation(s)
- Hua Xiao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
- The State Key Laboratory of Genetic Improvement and Germplasm Innovation of Crop Resistance in Arid Desert Regions, Key Laboratory of Genome Research and Genetic Improvement of Xinjiang Characteristic Fruits and Vegetables, Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi830091, China
| | - Zhongjie Liu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Nan Wang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Qiming Long
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Shuo Cao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Guizhou Huang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Wenwen Liu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Yanling Peng
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
| | - Summaira Riaz
- Department of Viticulture and Enology, University of California, Davis, CA95616
| | - Andrew M. Walker
- Department of Viticulture and Enology, University of California, Davis, CA95616
| | - Brandon S. Gaut
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA92697
| | - Yongfeng Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen518000, China
- State Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou571101, China
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10
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Feng S, Wan W, Li Y, Wang D, Ren G, Ma T, Ru D. Transcriptome-based analyses of adaptive divergence between two closely related spruce species on the Qinghai-Tibet plateau and adjacent regions. Mol Ecol 2023; 32:476-491. [PMID: 36320185 DOI: 10.1111/mec.16758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/17/2022]
Abstract
Speciation among populations connected by gene flow is driven by adaptation to different environments, but underlying gene-environment associations remain largely unknown. Here, 162 individuals from 32 populations were sampled to obtain 191,648 independent single nucleotide polymorphisms (SNPs) across the genomes of two closely related spruce species, Picea asperata and Picea crassifolia, which occur on the Qinghai-Tibet Plateau and in surrounding regions. Using the SNP data set, genotype-environment associations and demographic modelling were used to examine local adaptation and genetic divergence between these two species. While morphologically similar, the two Picea species were genetically differentiated in multiple analyses. These species diverged despite continuous gene flow, and their initial divergence was dated back to the late Quaternary. The effective population sizes of both species have expanded since their divergence, as confirmed by niche distribution simulations. A total of 6365 genes were associated with the tested environmental variables; of these, 41 were positively selected in P. asperata and were mainly associated with temperature, while 83 were positively selected in P. crassifolia and were primarily associated with precipitation. These results deepen our understanding of the adaptive divergence and demographic histories of these two spruce species and highlight the importance of genomic data in deciphering the environmental selection underlying Quaternary interspecific divergence.
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Affiliation(s)
- Shuo Feng
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Wei Wan
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Yang Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - DongLei Wang
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Guangpeng Ren
- State Key Laboratory of Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
| | - Tao Ma
- Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Dafu Ru
- State Key Laboratory of Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China
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11
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Wu X, Wang M, Li X, Yan Y, Dai M, Xie W, Zhou X, Zhang D, Wen Y. Response of distribution patterns of two closely related species in Taxus genus to climate change since last inter-glacial. Ecol Evol 2022; 12:e9302. [PMID: 36177121 PMCID: PMC9475124 DOI: 10.1002/ece3.9302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/05/2022] [Accepted: 08/26/2022] [Indexed: 02/02/2023] Open
Abstract
Climate change affects the species spatio-temporal distribution deeply. However, how climate affects the spatio-temporal distribution pattern of related species on the large scale remains largely unclear. Here, we selected two closely related species in Taxus genus Taxus chinensis and Taxus mairei to explore their distribution pattern. Four environmental variables were employed to simulate the distribution patterns using the optimized Maxent model. The results showed that the highly suitable area of T. chinensis and T. mairei in current period was 1.616 × 105 km2 and 3.093 × 105 km2, respectively. The distribution area of T. chinensis was smaller than that of T. mairei in different periods. Comparison of different periods shown that the distribution area of the two species was almost in stasis from LIG to the future periods. Temperature and precipitation were the main climate factors that determined the potential distribution of the two species. The centroids of T. chinensis and T. mairei were in Sichuan and Hunan provinces in current period, respectively. In the future, the centroid migration direction of the two species would shift towards northeast. Our results revealed that the average elevation distribution of T. chinensis was higher than that of T. mairei. This study sheds new insights into the habitat preference and limiting environment factors of the two related species and provides a valuable reference for the conservation of these two threatened species.
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Affiliation(s)
- Xingtong Wu
- Central South University of Forestry and TechnologyHunanChina
| | - Minqiu Wang
- Central South University of Forestry and TechnologyHunanChina
| | - Xinyu Li
- Central South University of Forestry and TechnologyHunanChina
| | - Yadan Yan
- Central South University of Forestry and TechnologyHunanChina
| | | | - Wanyu Xie
- Central South University of Forestry and TechnologyHunanChina
| | - Xiaofen Zhou
- Central South University of Forestry and TechnologyHunanChina
| | | | - Yafeng Wen
- Central South University of Forestry and TechnologyHunanChina
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12
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Zeb U, Wang X, Fiaz S, Azizullah A, Shah AA, Ali S, Rahim F, Ullah H, Leghari UA, Wang W, Nawaz T. Novel insights into Pinus species plastids genome through phylogenetic relationships and repeat sequence analysis. PLoS One 2022; 17:e0262040. [PMID: 35045089 PMCID: PMC8769304 DOI: 10.1371/journal.pone.0262040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 12/15/2021] [Indexed: 11/18/2022] Open
Abstract
Pinus is one of the most economical and ecological important conifers, model specie for studying sequence divergence and molecular phylogeney of gymnosperms. The less availability of information for genome resources enable researchers to conduct evolutionary studies of Pinus species. To improve understanding, we firstly reported, previously released chloroplast genome of 72 Pinus species, the sequence variations, phylogenetic relationships and genome divergence among Pinus species. The results displayed 7 divergent hotspot regions (trnD-GUC, trnY-GUA, trnH-GUG, ycf1, trnL-CAA, trnK-UUU and trnV-GAC) in studied Pinus species, which holds potential to utilized as molecular genetic markers for future phylogenetic studies in Pinnus species. In addition, 3 types of repeats (tandem, palindromic and dispersed) were also studied in Pinus species under investigation. The outcome showed P. nelsonii had the highest, 76 numbers of repeats, while P. sabiniana had the lowest, 13 13 numbers of repeats. It was also observed, constructed phylogenetic tree displayed division into two significant diverged clades: single needle (soft pine) and double-needle (hard pine). Theoutcome of present investigation, based on the whole chloroplast genomes provided novel insights into the molecular based phylogeny of the genus Pinus which holds potential for its utilization in future studies focusing genetic diversity in Pinnus species.
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Affiliation(s)
- Umar Zeb
- Department of Biology, The University of Haripur, Khyber Pakhtunkhwa, Pakistan
| | - Xiukang Wang
- College of Life Sciences, Yan’an University, Yan’an, Shaanxi, China
| | - Sajid Fiaz
- Department of Plant Breeding and Genetics, The University of Haripur, Haripur, Pakistan
| | - Azizullah Azizullah
- Department of Biology, The University of Haripur, Khyber Pakhtunkhwa, Pakistan
| | - Asad Ali Shah
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan
| | - Sajjad Ali
- Department of Botany, Bacha Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan
| | - Fazli Rahim
- Department of Botany, Bacha Khan University Charsadda, Khyber Pakhtunkhwa, Pakistan
| | - Hafiz Ullah
- Departement of Botany, University of Chitral, Khyber Pakhtunkhwa, Pakistan
| | - Umed Ali Leghari
- Department of Agriculture, Mir Chakar Khan Rind University, Sibi, Balochistan, Pakistan
| | - Weiqiang Wang
- College of Life Sciences, Yan’an University, Yan’an, Shaanxi, China
| | - Taufiq Nawaz
- Department of Food Science and Technology, The University of Agriculture Peshawar, Khyber Pakhtunkhwa, Pakistan
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13
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Shen Y, Xia H, Tu Z, Zong Y, Yang L, Li H. Genetic divergence and local adaptation of Liriodendron driven by heterogeneous environments. Mol Ecol 2021; 31:916-933. [PMID: 34773328 DOI: 10.1111/mec.16271] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 10/31/2021] [Accepted: 11/05/2021] [Indexed: 12/13/2022]
Abstract
Ecological adaptive differentiation alters both the species diversity and intraspecific genetic diversity in forests, thus affecting the stability of forest ecosystems. Therefore, knowledge of the genetic underpinnings of the ecological adaptive differentiation of forest species is critical for effective species conservation. In this study, single-nucleotide polymorphisms (SNPs) from population transcriptomes were used to investigate the spatial distribution of genetic variation in Liriodendron to assess whether environmental variables can explain genetic divergence. We examined the contributions of environmental variables to population divergence and explored the genetic underpinnings of local adaptation using a landscape genomic approach. Niche models and statistical analyses showed significant niche divergence between L. chinense and L. tulipifera, suggesting that ecological adaptation may play a crucial role in driving interspecific divergence. We detected a new fine-scale genetic structure in L. chinense, and divergence of the six groups occurred during the late Pliocene to early Pleistocene. Redundancy analysis (RDA) revealed significant associations between genetic variation and multiple environmental variables. Environmental association analyses identified 67 environmental association loci (EALs; nonsynonymous SNPs) that underwent interspecific or intraspecific differentiation, 28 of which were associated with adaptive genes. These 28 candidate adaptive loci provide substantial evidence for local adaptation in Liriodendron. Our findings reveal ecological adaptive divergence pattern between Liriodendron species and provide novel insight into the role of heterogeneous environments in shaping genetic structure and driving local adaptation among populations, informing future L. chinense conservation efforts.
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Affiliation(s)
- Yufang Shen
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Hui Xia
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Zhonghua Tu
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Yaxian Zong
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Lichun Yang
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Huogen Li
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Centre for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
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14
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Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa. Int J Mol Sci 2021; 22:ijms22073477. [PMID: 33801727 PMCID: PMC8036860 DOI: 10.3390/ijms22073477] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 01/26/2023] Open
Abstract
Mountain plants, challenged by vegetation time contractions and dynamic changes in environmental conditions, developed adaptations that help them to balance their growth, reproduction, survival, and regeneration. However, knowledge regarding the genetic basis of species adaptation to higher altitudes remain scarce for most plant species. Here, we attempted to identify such corresponding genomic regions of high evolutionary importance in two closely related European pines, Pinus mugo and P. uncinata, contrasting them with a reference lowland relative—P. sylvestris. We genotyped 438 samples at thousands of single nucleotide polymorphism (SNP) markers, tested their genetic differentiation and population structure followed by outlier detection and gene ontology annotations. Markers clearly differentiated the species and uncovered patterns of population structure in two of them. In P. uncinata three Pyrenean sites were grouped together, while two outlying populations constituted a separate cluster. In P. sylvestris, Spanish population appeared distinct from the remaining four European sites. Between mountain pines and the reference species, 35 candidate genes for altitude-dependent selection were identified, including such encoding proteins responsible for photosynthesis, photorespiration and cell redox homeostasis, regulation of transcription, and mRNA processing. In comparison between two mountain pines, 75 outlier SNPs were found in proteins involved mainly in the gene expression and metabolism.
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15
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High genomic diversity maintained by populations of Carex scirpoidea subsp. convoluta, a paraphyletic Great Lakes ecotype. CONSERV GENET 2021. [DOI: 10.1007/s10592-020-01326-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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16
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Knowledge status and sampling strategies to maximize cost-benefit ratio of studies in landscape genomics of wild plants. Sci Rep 2020; 10:3706. [PMID: 32111897 PMCID: PMC7048820 DOI: 10.1038/s41598-020-60788-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 02/11/2020] [Indexed: 11/27/2022] Open
Abstract
To avoid local extinction due to the changes in their natural ecosystems, introduced by anthropogenic activities, species undergo local adaptation. Landscape genomics approach, through genome–environment association studies, has helped evaluate the local adaptation in natural populations. Landscape genomics, is still a developing discipline, requiring refinement of guidelines in sampling design, especially for studies conducted in the backdrop of stark socioeconomic realities of the rainforest ecologies, which are global biodiversity hotspots. In this study we aimed to devise strategies to improve the cost-benefit ratio of landscape genomics studies by surveying sampling designs and genome sequencing strategies used in existing studies. We conducted meta-analyses to evaluate the importance of sampling designs, in terms of (i) number of populations sampled, (ii) number of individuals sampled per population, (iii) total number of individuals sampled, and (iv) number of SNPs used in different studies, in discerning the molecular mechanisms underlying local adaptation of wild plant species. Using the linear mixed effects model, we demonstrated that the total number of individuals sampled and the number of SNPs used, significantly influenced the detection of loci underlying the local adaptation. Thus, based on our findings, in order to optimize the cost-benefit ratio of landscape genomics studies, we suggest focusing on increasing the total number of individuals sampled and using a targeted (e.g. sequencing capture) Pool-Seq approach and/or a random (e.g. RAD-Seq) Pool-Seq approach to detect SNPs and identify SNPs under selection for a given environmental cline. We also found that the existing molecular evidences are inadequate in predicting the local adaptations to climate change in tropical forest ecosystems.
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17
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Acosta JJ, Fahrenkrog AM, Neves LG, Resende MFR, Dervinis C, Davis JM, Holliday JA, Kirst M. Exome Resequencing Reveals Evolutionary History, Genomic Diversity, and Targets of Selection in the Conifers Pinus taeda and Pinus elliottii. Genome Biol Evol 2019; 11:508-520. [PMID: 30689841 PMCID: PMC6385631 DOI: 10.1093/gbe/evz016] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2019] [Indexed: 12/22/2022] Open
Abstract
Loblolly pine (Pinus taeda) and slash pine (Pinus elliottii) are ecologically and economically important pine species that dominate many forest ecosystems in the southern United States, but like all conifers, the study of their genetic diversity and demographic history has been hampered by their large genome size. A small number of studies mainly based on candidate-gene sequencing have been reported for P. taeda to date, whereas none are available for P. elliottii. Targeted exome resequencing has recently enabled population genomics studies for conifers, approach used here to assess genomic diversity, signatures of selection, population structure, and demographic history of P. elliottii and P. taeda. Extensive similarities were revealed between these species: both species feature rapid linkage disequilibrium decay and high levels of genetic diversity. Moreover, genome-wide positive correlations for measures of genetic diversity between the species were also observed, likely due to shared structural genomic constraints. Also, positive selection appears to be targeting a common set of genes in both pines. Demographic history differs between both species, with only P. taeda being affected by a dramatic bottleneck during the last glacial period. The ability of P. taeda to recover from a dramatic reduction in population size while still retaining high levels of genetic diversity shows promise for other pines facing environmental stressors associated with climate change, indicating that these too may be able to adapt successfully to new future conditions even after a drastic population size contraction.
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Affiliation(s)
- Juan J Acosta
- School of Forest Resources and Conservation, University of Florida.,University of Florida Genetics Institute, University of Florida.,Camcore, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC
| | - Annette M Fahrenkrog
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida
| | - Leandro G Neves
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida.,RAPiD Genomics, Gainesville, FL
| | | | | | - John M Davis
- School of Forest Resources and Conservation, University of Florida
| | - Jason A Holliday
- Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University
| | - Matias Kirst
- School of Forest Resources and Conservation, University of Florida.,Plant Molecular and Cellular Biology Graduate Program, University of Florida.,University of Florida Genetics Institute, University of Florida
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18
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Wang X, Chen L, Ma J. Genomic introgression through interspecific hybridization counteracts genetic bottleneck during soybean domestication. Genome Biol 2019; 20:22. [PMID: 30700312 PMCID: PMC6354408 DOI: 10.1186/s13059-019-1631-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 01/16/2019] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Evidence of introgression, the transfer of genetic material, between crops and their wild relatives through spontaneous hybridization and subsequent backcrossing has been documented; however, the evolutionary patterns and consequences of introgression and its influence on the processes of crop domestication and varietal diversification are poorly understood. RESULTS We investigate the genomic landscape and evolution of putative crop-wild-relative introgression by analyzing the nuclear and chloroplast genomes from a panel of wild (Glycine soja) and domesticated (Glycine max) soybeans. Our data suggest that naturally occurring introgression between wild and domesticated soybeans was widespread and that introgressed variation in both wild and domesticated soybeans was selected against throughout the genomes and preferentially removed from the genomic regions underlying selective sweeps and domestication quantitative trait locus (QTL). In both taxa, putative introgression was preferentially retained in recombination-repressed pericentromeric regions that exhibit lower gene densities, reflecting potential roles of recombination in purging introgression. Despite extensive removal of introgressed variation by recurrent selection for domestication-related QTL and associated genomic regions, spontaneous interspecific hybridization during soybean domestication appear to have contributed to a rapid varietal diversification with high levels of genetic diversity and asymmetric evolution between the nuclear and chloroplast genomes. CONCLUSIONS This work reveals the evolutionary forces, patterns, and consequences of putative genomic introgression between crops and their wild relatives, and the effects of introgression on the processes of crop domestication and varietal diversification. We envision that interspecific introgression serves as an important mechanism for counteracting the reduction of genetic diversity in domesticated crops, particularly the ones under single domestication.
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Affiliation(s)
- Xutong Wang
- Department of Agronomy, Purdue University, West Lafayette, IN 47907 USA
| | - Liyang Chen
- Department of Agronomy, Purdue University, West Lafayette, IN 47907 USA
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN 47907 USA
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19
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Jia Y, Zhu J, Wu Y, Fan WB, Zhao GF, Li ZH. Effects of Geological and Environmental Events on the Diversity and Genetic Divergence of Four Closely Related Pines: Pinus koraiensis, P. armandii, P. griffithii, and P. pumila. FRONTIERS IN PLANT SCIENCE 2018; 9:1264. [PMID: 30210523 PMCID: PMC6121107 DOI: 10.3389/fpls.2018.01264] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 08/10/2018] [Indexed: 06/08/2023]
Abstract
The effects of mountain uplift and environmental oscillations on nucleotide variability and species divergence remain largely unknown in East Asia. In this study, based on multiple nuclear DNA markers, we investigated the levels and patterns of nucleotide diversity and interspecific divergence in four closely related pines in China, i.e., Pinus koraiensis, P. armandii, P. griffithii, and P. pumila. The four pine taxa shared low levels of nucleotide polymorphisms at the species level. P. pumila had the highest silent nucleotide diversity (πsil = 0.00661) whereas P. griffithii had the lowest (πsil = 0.00175), while the levels of genetic polymorphism in P. armandii (πsil = 0.00508) and P. koraiensis (πsil = 0.00652) were intermediate between the other two species. Population genetic structure analysis showed that variations primarily existed within populations of the four pine species, presumably due to habitat fragmentation or the island-like distributions of Pinus species. Population divergence (FST) analysis showed that the genetic divergence between P. griffithii and P. koraiensis was much greater than that between P. koraiensis and the other two pines species. Isolation-with-migration analysis suggested that asymmetric gene flow had occurred between any two pairs of pine species. Phylogenetic analyses indicated that the four allied species split into two groups about 1.37 million years ago, where P. armandii and P. pumila were closer and clustered as sister species, whereas P. koraiensis and P. griffithii were clustered on another branch. Our results and those obtained in previous studies suggest that mountain uplift and geological climate oscillations may have led to the patterns of genetic divergence and nucleotide variations in these four pine species.
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Affiliation(s)
| | | | | | | | | | - Zhong-Hu Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi’an, China
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20
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Halbritter AH, Fior S, Keller I, Billeter R, Edwards PJ, Holderegger R, Karrenberg S, Pluess AR, Widmer A, Alexander JM. Trait differentiation and adaptation of plants along elevation gradients. J Evol Biol 2018. [PMID: 29518274 DOI: 10.1111/jeb.13262] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Studies of genetic adaptation in plant populations along elevation gradients in mountains have a long history, but there has until now been neither a synthesis of how frequently plant populations exhibit adaptation to elevation nor an evaluation of how consistent underlying trait differences across species are. We reviewed studies of adaptation along elevation gradients (i) from a meta-analysis of phenotypic differentiation of three traits (height, biomass and phenology) from plants growing in 70 common garden experiments; (ii) by testing elevation adaptation using three fitness proxies (survival, reproductive output and biomass) from 14 reciprocal transplant experiments; (iii) by qualitatively assessing information at the molecular level, from 10 genomewide surveys and candidate gene approaches. We found that plants originating from high elevations were generally shorter and produced less biomass, but phenology did not vary consistently. We found significant evidence for elevation adaptation in terms of survival and biomass, but not for reproductive output. Variation in phenotypic and fitness responses to elevation across species was not related to life history traits or to environmental conditions. Molecular studies, which have focussed mainly on loci related to plant physiology and phenology, also provide evidence for adaptation along elevation gradients. Together, these studies indicate that genetically based trait differentiation and adaptation to elevation are widespread in plants. We conclude that a better understanding of the mechanisms underlying adaptation, not only to elevation but also to environmental change, will require more studies combining the ecological and molecular approaches.
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Affiliation(s)
- Aud H Halbritter
- Department of Biological Sciences, University of Bergen, Bergen, Norway.,Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Simone Fior
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Irene Keller
- Department of Clinical Research and Swiss Institute of Bioinformatics, University of Bern, Bern, Switzerland
| | - Regula Billeter
- Institute of Natural Resource Sciences, ZHAW Wädenswil, Wädenswil, Switzerland
| | - Peter J Edwards
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Rolf Holderegger
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland.,Swiss Federal Research Institute for Forest, Snow and Landscape WSL, Birmensdorf, Switzerland
| | - Sophie Karrenberg
- Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
| | - Andrea R Pluess
- Swiss Federal Research Institute for Forest, Snow and Landscape WSL, Birmensdorf, Switzerland
| | - Alex Widmer
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Jake M Alexander
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland.,Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
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21
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Menon M, Bagley JC, Friedline CJ, Whipple AV, Schoettle AW, Leal‐Sàenz A, Wehenkel C, Molina‐Freaner F, Flores‐Rentería L, Gonzalez‐Elizondo MS, Sniezko RA, Cushman SA, Waring KM, Eckert AJ. The role of hybridization during ecological divergence of southwestern white pine (
Pinus strobiformis
) and limber pine (
P. flexilis
). Mol Ecol 2018; 27:1245-1260. [DOI: 10.1111/mec.14505] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 12/19/2017] [Accepted: 12/21/2017] [Indexed: 12/11/2022]
Affiliation(s)
- Mitra Menon
- Integrative Life Sciences Virginia Commonwealth University Richmond VA USA
- Department of Biology Virginia Commonwealth University Richmond VA USA
| | - Justin C. Bagley
- Department of Biology Virginia Commonwealth University Richmond VA USA
- Departamento de Zoologia Universidade de Brasília Brasília DF Brazil
| | | | - Amy V. Whipple
- Department of Biological Sciences and Merriam Powel Center for Environmental Research Northern Arizona University Flagstaff AZ USA
| | - Anna W. Schoettle
- Rocky Mountain Research Station USDA Forest Service Ft. Collins CO USA
| | - Alejandro Leal‐Sàenz
- Programa Institucional de Doctorado en Ciencias Agropecuarias y Forestales Universidad Juárez del Estado de Durango Durango Mexico
| | - Christian Wehenkel
- Instituto de Silvicultura e Industria de la Madera Universidad Juarez del Estado de Durango Durango Mexico
| | - Francisco Molina‐Freaner
- Institutos de Geologia y Ecologia Universidad Nacional Autónoma de Mexico, Estación Regional del Noroeste Hermosillo Sonora Mexico
| | | | | | | | - Samuel A. Cushman
- Rocky Mountain Research Station USDA Forest Service Flagstaff AZ USA
| | | | - Andrew J. Eckert
- Department of Biology Virginia Commonwealth University Richmond VA USA
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22
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Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/13836_2017_2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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23
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Zuo YJ, Wen J, Zhou SL. Intercontinental and intracontinental biogeography of the eastern Asian - Eastern North American disjunct Panax (the ginseng genus, Araliaceae), emphasizing its diversification processes in eastern Asia. Mol Phylogenet Evol 2017; 117:60-74. [PMID: 28743642 DOI: 10.1016/j.ympev.2017.06.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 06/08/2017] [Accepted: 06/20/2017] [Indexed: 12/01/2022]
Abstract
The intercontinental biogeography between eastern Asia and eastern North America has attracted much attention from evolutionary biologists. Further insights into understanding the evolution of the intercontinental disjunctions have been hampered by the lack of studies on the intracontinental biogeography in eastern Asia, a region with complex geology, geography, climates and habitats. Herein we studied the biogeographic history of the eastern Asian-eastern North American disjunct genus Panax with special emphasis on the investigation of its uneven diversification in Asia. This study reconstructs the diversification history of Panax and also emphasizes a large clade of Panax taxa, which has a wide distribution in eastern Asia, but was unresolved in previous studies. We examined the noncoding plastid DNA fragments of trnH-psbA, rps16, and psbM-trnD, the mitochondrial b/c intron of NAD1, and the nuclear ribosomal internal transcribed spacer (ITS) region of 356 samples from 47 populations. The results revealed the subtropical Northern Hemisphere origin (Asia or Asia and North America) of Panax in the Paleocene. Intercontinental disjunctions between eastern Asia and eastern North America formed twice in Panax, once estimated in early Eocene for the split of P. trifolius and another in mid-Miocene for the divergence of P. quinquefolius. Intercontinental diversifications in Panax showed temporal correlation with the increase of global temperature. The evolutionary radiation of the P. bipinnatifidus species complex occurred around the boundary of Oligocene and Miocene. Strong genetic structure among populations of the species complex was detected and the populations may be isolated by distance. The backbone network and the Bayesian clustering analysis revealed a major evolutionary radiation centered in the Hengduan Mountains of western China. Our results suggested that the evolutionary radiation of Panax was promoted by geographic barriers, including mountain ranges (Hengduan Mountains, Nanling Mountains and Wuyishan Mountains), oceans and altitudinal shifts, which further contribute to the knowledge of the uneven species diversification between eastern Asia and North America.
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Affiliation(s)
- Yun-Juan Zuo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; Shanghai Chenshan Plant Science Research Center, Chinese Academy of Sciences; Shanghai Chenshan Botanical Garden, Shanghai 201602, China
| | - Jun Wen
- Department of Botany, National Museum of Natural History, MRC-166, Smithsonian Institution, Washington, DC 20013-7012, USA.
| | - Shi-Liang Zhou
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
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24
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Nadeau S, Meirmans PG, Aitken SN, Ritland K, Isabel N. The challenge of separating signatures of local adaptation from those of isolation by distance and colonization history: The case of two white pines. Ecol Evol 2016; 6:8649-8664. [PMID: 28035257 PMCID: PMC5192886 DOI: 10.1002/ece3.2550] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 08/25/2016] [Accepted: 09/06/2016] [Indexed: 01/13/2023] Open
Abstract
Accurately detecting signatures of local adaptation using genetic‐environment associations (GEAs) requires controlling for neutral patterns of population structure to reduce the risk of false positives. However, a high degree of collinearity between climatic gradients and neutral population structure can greatly reduce power, and the performance of GEA methods in such case is rarely evaluated in empirical studies. In this study, we attempted to disentangle the effects of local adaptation and isolation by environment (IBE) from those of isolation by distance (IBD) and isolation by colonization from glacial refugia (IBC) using range‐wide samples in two white pine species. For this, SNPs from 168 genes, including 52 candidate genes for growth and phenology, were genotyped in 133 and 61 populations of Pinus strobus and P. monticola, respectively. For P. strobus and using all 153 SNPs, climate (IBE) did not significantly explained among‐population variation when controlling for IBD and IBC in redundancy analyses (RDAs). However, 26 SNPs were significantly associated with climate in single‐locus GEA analyses (Bayenv2 and LFMM), suggesting that local adaptation took place in the presence of high gene flow. For P. monticola, we found no evidence of IBE using RDAs and weaker signatures of local adaptation using GEA and FST outlier tests, consistent with adaptation via phenotypic plasticity. In both species, the majority of the explained among‐population variation (69 to 96%) could not be partitioned between the effects of IBE, IBD, and IBC. GEA methods can account differently for this confounded variation, and this could explain the small overlap of SNPs detected between Bayenv2 and LFMM. Our study illustrates the inherent difficulty of taking into account neutral structure in natural populations and the importance of sampling designs that maximize climatic variation, while minimizing collinearity between climatic gradients and neutral structure.
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Affiliation(s)
- Simon Nadeau
- Natural Resources Canada Canadian Forest Service Laurentian Forestry Centre Québec QC Canada; Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Patrick G Meirmans
- Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam Amsterdam The Netherlands
| | - Sally N Aitken
- Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Kermit Ritland
- Department of Forest and Conservation Sciences The University of British Columbia Vancouver BC Canada
| | - Nathalie Isabel
- Natural Resources Canada Canadian Forest Service Laurentian Forestry Centre Québec QC Canada
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25
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Hoban S, Kelley JL, Lotterhos KE, Antolin MF, Bradburd G, Lowry DB, Poss ML, Reed LK, Storfer A, Whitlock MC. Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions. Am Nat 2016; 188:379-97. [PMID: 27622873 PMCID: PMC5457800 DOI: 10.1086/688018] [Citation(s) in RCA: 439] [Impact Index Per Article: 54.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Uncovering the genetic and evolutionary basis of local adaptation is a major focus of evolutionary biology. The recent development of cost-effective methods for obtaining high-quality genome-scale data makes it possible to identify some of the loci responsible for adaptive differences among populations. Two basic approaches for identifying putatively locally adaptive loci have been developed and are broadly used: one that identifies loci with unusually high genetic differentiation among populations (differentiation outlier methods) and one that searches for correlations between local population allele frequencies and local environments (genetic-environment association methods). Here, we review the promises and challenges of these genome scan methods, including correcting for the confounding influence of a species' demographic history, biases caused by missing aspects of the genome, matching scales of environmental data with population structure, and other statistical considerations. In each case, we make suggestions for best practices for maximizing the accuracy and efficiency of genome scans to detect the underlying genetic basis of local adaptation. With attention to their current limitations, genome scan methods can be an important tool in finding the genetic basis of adaptive evolutionary change.
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Affiliation(s)
- Sean Hoban
- Morton Arboretum, Lisle, Illinois 60532; and National Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee 37966
| | - Joanna L. Kelley
- School of Biological Sciences, Washington State University, Pullman, Washington 99164
| | - Katie E. Lotterhos
- Department of Marine and Environmental Sciences, Northeastern University Marine Science Center, Nahant, Massachusetts 01908
| | - Michael F. Antolin
- Department of Biology, Colorado State University, Fort Collins, Colorado 80523
| | - Gideon Bradburd
- Museum of Vertebrate Zoology and Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720
| | - David B. Lowry
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
| | - Mary L. Poss
- Department of Biology and Veterinary and Biomedical Sciences, Penn State University, University Park, Pennsylvania 16802
| | - Laura K. Reed
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35406
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, Washington 99164
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26
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Importance of incomplete lineage sorting and introgression in the origin of shared genetic variation between two closely related pines with overlapping distributions. Heredity (Edinb) 2016; 118:211-220. [PMID: 27649619 PMCID: PMC5315522 DOI: 10.1038/hdy.2016.72] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 06/24/2016] [Accepted: 06/29/2016] [Indexed: 02/01/2023] Open
Abstract
Genetic variation shared between closely related species may be due to retention of ancestral polymorphisms because of incomplete lineage sorting (ILS) and/or introgression following secondary contact. It is challenging to distinguish ILS and introgression because they generate similar patterns of shared genetic diversity, but this is nonetheless essential for inferring accurately the history of species with overlapping distributions. To address this issue, we sequenced 33 independent intron loci across the genome of two closely related pine species (Pinus massoniana Lamb. and Pinus hwangshanensis Hisa) from Southeast China. Population structure analyses revealed that the species showed slightly more admixture in parapatric populations than in allopatric populations. Levels of interspecific differentiation were lower in parapatry than in allopatry. Approximate Bayesian computation suggested that the most likely speciation scenario explaining this pattern was a long period of isolation followed by a secondary contact. Ecological niche modeling suggested that a gradual range expansion of P. hwangshanensis during the Pleistocene climatic oscillations could have been the cause of the overlap. Our study therefore suggests that secondary introgression, rather than ILS, explains most of the shared nuclear genomic variation between these two species and demonstrates the complementarity of population genetics and ecological niche modeling in understanding gene flow history. Finally, we discuss the importance of contrasting results from markers with different dynamics of migration, namely nuclear, chloroplast and mitochondrial DNA.
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27
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Wang T, Wang Z, Xia F, Su Y. Local adaptation to temperature and precipitation in naturally fragmented populations of Cephalotaxus oliveri, an endangered conifer endemic to China. Sci Rep 2016; 6:25031. [PMID: 27113970 PMCID: PMC4844950 DOI: 10.1038/srep25031] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 04/04/2016] [Indexed: 01/02/2023] Open
Abstract
Cephalotaxus oliveri is an endangered tertiary relict conifer endemic to China. The species survives in a wide range from west to east with heterogeneous climatic conditions. Precipitation and temperature are main restrictive factors for distribution of C. oliveri. In order to comprehend the mechanism of adaptive evolution to climate variation, we employed ISSR markers to detect adaptive evolution loci, to identify the association between variation in temperature and precipitation and adaptive loci, and to investigate the genetic structure for 22 C. oliveri natural populations. In total, 14 outlier loci were identified, of which five were associated with temperature and precipitation. Among outlier loci, linkage disequilibrium (LD) was high (42.86%), which also provided strong evidence for selection. In addition, C. oliveri possessed high genetic variation (93.31%) and population differentiation, which may provide raw material to evolution and accelerate local adaptation, respectively. Ecological niche modeling showed that global warming will cause a shift for populations of C. oliveri from south to north with a shrinkage of southern areas. Our results contribute to understand the potential response of conifers to climatic changes, and provide new insights for conifer resource management and conservation strategies.
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Affiliation(s)
- Ting Wang
- College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Zhen Wang
- College of Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Fan Xia
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Yingjuan Su
- School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
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28
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Yang YX, Wang ML, Liu ZL, Zhu J, Yan MY, Li ZH. Nucleotide polymorphism and phylogeographic history of an endangered conifer species Pinus bungeana. BIOCHEM SYST ECOL 2016. [DOI: 10.1016/j.bse.2015.11.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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29
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Tian B, Zhou Z, Du FK, He C, Xin P, Ma H. The Tanaka Line shaped the phylogeographic pattern of the cotton tree (Bombax ceiba) in southwest China. BIOCHEM SYST ECOL 2015. [DOI: 10.1016/j.bse.2015.04.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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30
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Gray MM, St Amand P, Bello NM, Galliart MB, Knapp M, Garrett KA, Morgan TJ, Baer SG, Maricle BR, Akhunov ED, Johnson LC. Ecotypes of an ecologically dominant prairie grass (Andropogon gerardii) exhibit genetic divergence across the U.S. Midwest grasslands' environmental gradient. Mol Ecol 2014; 23:6011-28. [PMID: 25370460 DOI: 10.1111/mec.12993] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Revised: 10/29/2014] [Accepted: 10/31/2014] [Indexed: 01/11/2023]
Abstract
Big bluestem (Andropogon gerardii) is an ecologically dominant grass with wide distribution across the environmental gradient of U.S. Midwest grasslands. This system offers an ideal natural laboratory to study population divergence and adaptation in spatially varying climates. Objectives were to: (i) characterize neutral genetic diversity and structure within and among three regional ecotypes derived from 11 prairies across the U.S. Midwest environmental gradient, (ii) distinguish between the relative roles of isolation by distance (IBD) vs. isolation by environment (IBE) on ecotype divergence, (iii) identify outlier loci under selection and (iv) assess the association between outlier loci and climate. Using two primer sets, we genotyped 378 plants at 384 polymorphic AFLP loci across regional ecotypes from central and eastern Kansas and Illinois. Neighbour-joining tree and PCoA revealed strong genetic differentiation between Kansas and Illinois ecotypes, which was better explained by IBE than IBD. We found high genetic variability within prairies (80%) and even fragmented Illinois prairies, surprisingly, contained high within-prairie genetic diversity (92%). Using Bayenv2, 14 top-ranked outlier loci among ecotypes were associated with temperature and precipitation variables. Six of seven BayeScanFST outliers were in common with Bayenv2 outliers. High genetic diversity may enable big bluestem populations to better withstand changing climates; however, population divergence supports the use of local ecotypes in grassland restoration. Knowledge of genetic variation in this ecological dominant and other grassland species will be critical to understanding grassland response and restoration challenges in the face of a changing climate.
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Affiliation(s)
- Miranda M Gray
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA
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