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Zhang ZY, Xia HX, Yuan MJ, Gao F, Bao WH, Jin L, Li M, Li Y. Multi-omics analyses provide insights into the evolutionary history and the synthesis of medicinal components of the Chinese wingnut. PLANT DIVERSITY 2024; 46:309-320. [PMID: 38798724 PMCID: PMC11119516 DOI: 10.1016/j.pld.2024.03.010] [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: 01/05/2024] [Revised: 03/22/2024] [Accepted: 03/31/2024] [Indexed: 05/29/2024]
Abstract
Chinese wingnut (Pterocarya stenoptera) is a medicinally and economically important tree species within the family Juglandaceae. However, the lack of high-quality reference genome has hindered its in-depth research. In this study, we successfully assembled its chromosome-level genome and performed multi-omics analyses to address its evolutionary history and synthesis of medicinal components. A thorough examination of genomes has uncovered a significant expansion in the Lateral Organ Boundaries Domain gene family among the winged group in Juglandaceae. This notable increase may be attributed to their frequent exposure to flood-prone environments. After further differentiation between Chinese wingnut and Cyclocarya paliurus, significant positive selection occurred on the genes of NADH dehydrogenase related to mitochondrial aerobic respiration in Chinese wingnut, enhancing its ability to cope with waterlogging stress. Comparative genomic analysis revealed Chinese wingnut evolved more unique genes related to arginine synthesis, potentially endowing it with a higher capacity to purify nutrient-rich water bodies. Expansion of terpene synthase families enables the production of increased quantities of terpenoid volatiles, potentially serving as an evolved defense mechanism against herbivorous insects. Through combined transcriptomic and metabolomic analysis, we identified the candidate genes involved in the synthesis of terpenoid volatiles. Our study offers essential genetic resources for Chinese wingnut, unveiling its evolutionary history and identifying key genes linked to the production of terpenoid volatiles.
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Affiliation(s)
- Zi-Yan Zhang
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - He-Xiao Xia
- College of Landscape and Art, Henan Agricultural University, Zhengzhou 450002, China
| | - Meng-Jie Yuan
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - Feng Gao
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - Wen-Hua Bao
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - Lan Jin
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - Min Li
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
| | - Yong Li
- College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010020, China
- Key Laboratory of Biodiversity Conservation and Sustainable Utilization in Mongolian Plateau for College and University of Inner Mongolia Autonomous Region, Hohhot 010022, China
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing 100091, China
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Chen T, Xu J, Wang L, Wang H, You E, Deng C, Bian H, Shen Y. Landscape genomics reveals adaptive genetic differentiation driven by multiple environmental variables in naked barley on the Qinghai-Tibetan Plateau. Heredity (Edinb) 2023; 131:316-326. [PMID: 37935814 PMCID: PMC10673939 DOI: 10.1038/s41437-023-00647-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 08/21/2023] [Accepted: 08/23/2023] [Indexed: 11/09/2023] Open
Abstract
Understanding the local adaptation of crops has long been a concern of evolutionary biologists and molecular ecologists. Identifying the adaptive genetic variability in the genome is crucial not only to provide insights into the genetic mechanism of local adaptation but also to explore the adaptation potential of crops. This study aimed to identify the climatic drivers of naked barley landraces and putative adaptive loci driving local adaptation on the Qinghai-Tibetan Plateau (QTP). To this end, a total of 157 diverse naked barley accessions were genotyped using the genotyping-by-sequencing approach, which yielded 3123 high-quality SNPs for population structure analysis and partial redundancy analysis, and 37,636 SNPs for outlier analysis. The population structure analysis indicated that naked barley landraces could be divided into four groups. We found that the genomic diversity of naked barley landraces could be partly traced back to the geographical and environmental diversity of the landscape. In total, 136 signatures associated with temperature, precipitation, and ultraviolet radiation were identified, of which 13 had pleiotropic effects. We mapped 447 genes, including a known gene HvSs1. Some genes involved in cold stress and regulation of flowering time were detected near eight signatures. Taken together, these results highlight the existence of putative adaptive loci in naked barley on QTP and thus improve our current understanding of the genetic basis of local adaptation.
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Affiliation(s)
- Tongrui Chen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jinqing Xu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, 810000, China
| | - Lei Wang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, 810000, China
| | - Handong Wang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, 810000, China
| | - En You
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Deng
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Haiyan Bian
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuhu Shen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810000, China.
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, 810000, China.
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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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Wang TR, Meng HH, Wang N, Zheng SS, Jiang Y, Lin DQ, Song YG, Kozlowski G. Adaptive divergence and genetic vulnerability of relict species under climate change: a case study of Pterocarya macroptera. ANNALS OF BOTANY 2023; 132:241-254. [PMID: 37409981 PMCID: PMC10583204 DOI: 10.1093/aob/mcad083] [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: 05/16/2023] [Accepted: 07/04/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND AND AIMS Understanding adaptive genetic variation and whether it can keep pace with predicted future climate change is critical in assessing the genetic vulnerability of species and developing conservation management strategies. The lack of information on adaptive genetic variation in relict species carrying abundant genetic resources hinders the assessment of genetic vulnerability. Using a landscape genomics approach, this study aimed to determine how adaptive genetic variation shapes population divergence and to predict the adaptive potential of Pterocarya macroptera (a vulnerable relict species in China) under future climate scenarios. METHODS We applied restriction site-associated DNA sequencing (RAD-seq) to obtain 8244 single-nucleotide polymorphisms (SNPs) from 160 individuals across 28 populations. We examined the pattern of genetic diversity and divergence, and then identified outliers by genetic differentiation (FST) and genotype-environment association (GEA) methods. We further dissected the effect of geographical/environmental gradients on genetic variation. Finally, we predicted genetic vulnerability and adaptive risk under future climate scenarios. KEY RESULTS We identified three genetic lineages within P. macroptera: the Qinling-Daba-Tianmu Mountains (QDT), Western Sichuan (WS) and Northwest Yunnan (NWY) lineages, which showed significant signals of isolation by distance (IBD) and isolation by environment (IBE). IBD and IBE explained 3.7-5.7 and 8.6-12.8 % of the genetic structure, respectively. The identified GEA SNP-related genes were involved in chemical defence and gene regulation and may exhibit higher genetic variation to adapt to the environment. Gradient forest analysis revealed that the genetic variation was mainly shaped by temperature-related variables, indicating its adaptation to local thermal environments. A limited adaptive potential was suggested by the high levels of genetic vulnerability in marginal populations. CONCLUSIONS Environmental gradient mainly shaped the population differentiation of P. macroptera. Marginal populations may be at high risk of extinction, and thus proactive management measures, such as assisted gene flow, are required to ensure the survival of these populations.
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Affiliation(s)
- Tian-Rui Wang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Hong-Hu Meng
- Plant Phylogenetics and Conservation Group, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China
| | - Nian Wang
- State Forestry and Grassland Administration Key Laboratory of Silviculture in Downstream Areas of the Yellow River, College of Forestry, Shandong Agricultural University, Tai’an, 271018, China
| | - Si-Si Zheng
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Yun Jiang
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Duo-Qing Lin
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
| | - Yi-Gang Song
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
- Department of Biology and Botanic Garden, University of Fribourg, Fribourg, CH-1700, Switzerland
| | - Gregor Kozlowski
- Eastern China Conservation Centre for Wild Endangered Plant Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, China
- Department of Biology and Botanic Garden, University of Fribourg, Fribourg, CH-1700, Switzerland
- Natural History Museum Fribourg, Fribourg, CH-1700, Switzerland
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Yan D, Liu J, Fan Y, Lian Z, Dang Z, Niu J. Genomic insights into genetic diversity and local adaptation of a dominant desert steppe feather grass, Stipa breviflora Griseb. FRONTIERS IN PLANT SCIENCE 2023; 14:1170075. [PMID: 37265641 PMCID: PMC10230062 DOI: 10.3389/fpls.2023.1170075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/17/2023] [Indexed: 06/03/2023]
Abstract
Investigating the genetic mechanisms of local adaptation is critical to understanding how species adapt to heterogeneous environments. In the present study, we analyzed restriction site-associated DNA sequencing (RADseq) data in order to explore genetic diversity, genetic structure, genetic differentiation, and local adaptation of Stipa breviflora. In total, 135 individual plants were sequenced and 25,786 polymorphic loci were obtained. We found low genetic diversity (He = 0.1284) within populations of S. breviflora. Four genetic clusters were identified along its distribution range. The Mantel test, partial Mantel test, and multiple matrix regression with randomization (MMRR) indicate that population differentiation was caused by both geographic distance and environmental factors. Through the FST outlier test and environmental association analysis (EAA), 113 candidate loci were identified as putatively adaptive loci. RPK2 and CPRF1, which are associated with meristem maintenance and light responsiveness, respectively, were annotated. To explore the effects of climatic factors on genetic differentiation and local adaptation of S. breviflora, gradient forest (GF) analysis was applied to 25,786 single nucleotide polymorphisms (SNPs) and 113 candidate loci, respectively. The results showed that both temperature and precipitation affected the genetic differentiation of S. breviflora, and precipitation was strongly related to local adaptation. Our study provides a theoretical basis for understanding the local adaptation of S. breviflora.
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Affiliation(s)
- Dongqing Yan
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Jiamei Liu
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Yanyan Fan
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Zhi Lian
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Zhenhua Dang
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Science and Technology of China, Hohhot, China
- Inner Mongolia Key Laboratory of Grassland Ecology and the Candidate State Key Laboratory of Ministry of Science and Technology, Ministry of Science and Technology of Inner Mongolia Autonomous Region, Hohhot, China
| | - Jianming Niu
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau, Ministry of Science and Technology of China, Hohhot, China
- Inner Mongolia Key Laboratory of Grassland Ecology and the Candidate State Key Laboratory of Ministry of Science and Technology, Ministry of Science and Technology of Inner Mongolia Autonomous Region, Hohhot, China
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Transcriptome analysis of gibberellins and abscisic acid during the flooding response in Fokienia hodginsii. PLoS One 2022; 17:e0263530. [PMID: 35148337 PMCID: PMC8836328 DOI: 10.1371/journal.pone.0263530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 01/21/2022] [Indexed: 11/19/2022] Open
Abstract
Flooding is one of the main abiotic stresses suffered by plants. Plants respond to flooding stress through regulating their morphological structure, endogenous hormone biosynthesis, and genetic signaling transduction. We previously found that Fokienia hodginsii varieties originating from Gutian exhibited typical flooding tolerance traits compared to three other provenances (Yongzhou, Sanming, Nanping), expressed as increased height, longer diameter at breast height (DBH), and smaller branch angle. Herein, the changes in endogenous gibberellins (GA) and abscisic acid (ABA) contents were measured under flooding stress in F. hodginsii, and ABA was found to decrease, whereas GA increased with time. Furthermore, the GA and ABA contents of the varieties originating from Gutian and the three other provenances were measured, and the results indicated that F. hodginsii from Gutian could respond more rapidly to flooding stress. The transcriptomes of the varieties originating from Gutian and the other three provenances were compared using RNA sequencing to explore the underlying genetic mechanisms of the flood-resistant phenotypes in F. hodginsii. The results indicated that two flood-stress response genes (TRINITY_DN142_c0_g2 and TRINITY_DN7657_c0_g1) were highly related to both the ABA and GA response in F. hodginsii.
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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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Li Y, Shi LC, Pei NC, Cushman SA, Si YT. Transcriptomic responses to drought stress among natural populations provide insights into local adaptation of weeping forsythia. BMC PLANT BIOLOGY 2021; 21:273. [PMID: 34130656 PMCID: PMC8204298 DOI: 10.1186/s12870-021-03075-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 05/26/2021] [Indexed: 05/04/2023]
Abstract
BACKGROUND Understanding the genetic mechanisms of local adaptation is an important emerging topic in molecular ecology and evolutionary biology. RESULTS Here, we identify the physiological changes and differential expression of genes among different weeping forsythia populations under drought stress in common garden experiments. Physiological results showed that HBWZ might have higher drought tolerance among four populations. RNA-seq results showed that significant differential expression in the genes responding to the synthesis of flavonoids, aromatic substances, aromatic amino acids, oxidation-reduction process, and transmembrane transport occured among four populations. By further reanalysis of results of previous studies, sequence differentiation was found in the genes related to the synthesis of aromatic substances among different weeping forsythia populations. CONCLUSIONS Overall, our study supports the hypothesis that the dual differentiation in gene efficiency and expression increases among populations in response to heterogeneous environments and is an important evolutionary process of local adaptation. Here, we proposed a new working model of local adaptation of weeping forsythia populations under different intensities of drought stress, which provides new insights for understanding the genetic mechanisms of local adaptation for non-model species.
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Affiliation(s)
- Yong Li
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Long-Chen Shi
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Nan-Cai Pei
- Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, China
| | - Samuel A. Cushman
- U.S. Forest Service, Rocky Mountain Research Station, 2500 S. Pine Knoll Dr., Flagstaff, AZ USA
| | - Yu-Tao Si
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
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Li Y, Shi LC, Yang J, Qian ZH, He YX, Li MW. Physiological and transcriptional changes provide insights into the effect of root waterlogging on the aboveground part of Pterocarya stenoptera. Genomics 2021; 113:2583-2590. [PMID: 34111522 DOI: 10.1016/j.ygeno.2021.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 05/31/2021] [Accepted: 06/04/2021] [Indexed: 11/17/2022]
Abstract
Pterocarya stenoptera is a tree species that occurs along rivers and has high tolerance to waterlogging. Identification of waterlogging response genes in the aboveground part of P. stenoptera will increase understanding of tolerance mechanisms under root waterlogging conditions. In this study, we employed four physiological indicators and comparative transcriptome sequencing to investigate the waterlogging tolerance mechanism in P. stenoptera. The physiological results showed that the aboveground part of P. stenoptera was not obviously affected by waterlogging. P. stenoptera enhanced waterlogging tolerance by increasing the synthesis of alpha-Linolenic acids and flavonoids and activating the jasmonic acid, ethylene, and auxin signaling pathways. Our results confirmed our hypothesis that P. stenoptera, a species that is widely distributed along rivers, has evolved a range of mechanisms in response to waterlogging. Our research will provide new insights for understanding the tolerance mechanism of species to waterlogging.
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Affiliation(s)
- Yong Li
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Long-Chen Shi
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Jing Yang
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Zhi-Hao Qian
- Innovation Platform of Molecular Biology, College of Landscape and Art, Henan Agricultural University, Zhengzhou, China
| | - Yan-Xia He
- School of Life Sciences, Henan University, Kaifeng, China
| | - Ming-Wan Li
- College of Forestry, Henan Agricultural University, Zhengzhou, China.
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Li LF, Cushman SA, He YX, Li Y. Genome sequencing and population genomics modeling provide insights into the local adaptation of weeping forsythia. HORTICULTURE RESEARCH 2020; 7:130. [PMID: 32821413 PMCID: PMC7395120 DOI: 10.1038/s41438-020-00352-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/24/2020] [Accepted: 05/24/2020] [Indexed: 05/06/2023]
Abstract
Understanding the genetic basis underlying the local adaptation of nonmodel species is a fundamental goal in evolutionary biology. In this study, we explored the genetic mechanisms of the local adaptation of Forsythia suspensa using genome sequence and population genomics data obtained from specific-locus amplified fragment sequencing. We assembled a high-quality reference genome of weeping forsythia (Scaffold N50 = 7.3 Mb) using ultralong Nanopore reads. Then, genome-wide comparative analysis was performed for 15 natural populations of weeping forsythia across its current distribution range. Our results revealed that candidate genes associated with local adaptation are functionally correlated with solar radiation, temperature and water variables across heterogeneous environmental scenarios. In particular, solar radiation during the period of fruit development and seed drying after ripening, cold, and drought significantly contributed to the adaptive differentiation of F. suspensa. Natural selection exerted by environmental factors contributed substantially to the population genetic structure of F. suspensa. Our results supported the hypothesis that adaptive differentiation should be highly pronounced in the genes involved in signal crosstalk between different environmental variables. Our population genomics study of F. suspensa provides insights into the fundamental genetic mechanisms of the local adaptation of plant species to climatic gradients.
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Affiliation(s)
- Lin-Feng Li
- Innovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, Zhengzhou, China
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, 200438 China
| | - Samuel A. Cushman
- U.S. Forest Service, Rocky Mountain Research Station, 2500 S. Pine Knoll Dr., Flagstaff, Arizona USA
| | - Yan-Xia He
- School of Life Sciences, Henan University, Kaifeng, China
| | - Yong Li
- Innovation Platform of Molecular Biology, College of Forestry, Henan Agricultural University, Zhengzhou, China
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Zhang XX, Liu BG, Li Y, Liu Y, He YX, Qian ZH, Li JX. Landscape genetics reveals that adaptive genetic divergence in Pinus bungeana (Pinaceae) is driven by environmental variables relating to ecological habitats. BMC Evol Biol 2019; 19:160. [PMID: 31370777 PMCID: PMC6676527 DOI: 10.1186/s12862-019-1489-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Accepted: 07/25/2019] [Indexed: 01/01/2023] Open
Abstract
Background Understanding the genetic basis of local adaptation has long been the concern of biologists. Identifying these adaptive genetic variabilities is crucial not only to improve our knowledge of the genetic mechanism of local adaptation but also to explore the adaptation potential of species. Results Using 10 natural populations and 12 start codon targeted (SCoT) markers, a total of 430 unambiguous loci were yielded. The Bayesian analysis of population structure clearly demonstrated that the 10 populations of P. bungeana could be subdivided into three groups. Redundancy analysis showed that this genetic divergence was caused by divergence selection from environmental variables related to the ecological habitats of “avoidance of flooding” and “avoidance of high temperature and humidity.” LFMM results indicated that Bio1, Bio5, Bio8, Bio12, Bio14, and Bio16, which are related to the ecological habitat of P. bungeana, were correlated with the highest numbers of environment-associated loci (EAL). Conclusions The results of EAL characterization in P. bungeana clearly supported the hypothesis that environmental variations related to the ecological habitat of species are the key drivers of species adaptive divergence. Moreover, a method to calculate the species landscape adaptation index and quantify the adaptation potential of species was proposed and verified using ecological niche modeling. This model could estimate climatically suitable areas of species spatial distribution. Taking the results together, this study improves the current understanding on the genetic basis of local adaptation. Electronic supplementary material The online version of this article (10.1186/s12862-019-1489-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xue-Xia Zhang
- Innovation Platform of Molecular Biology College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China
| | - Bao-Guo Liu
- Innovation Platform of Molecular Biology College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China
| | - Yong Li
- Innovation Platform of Molecular Biology College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China.
| | - Ying Liu
- Guangdong Provincial Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, No.135, Xingang Xi Road, Guangzhou, 510275, China
| | - Yan-Xia He
- School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Zhi-Hao Qian
- Innovation Platform of Molecular Biology College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China
| | - Jia-Xin Li
- Innovation Platform of Molecular Biology College of Forestry, Henan Agricultural University, No.95, Wenhua Road, Zhengzhou, 450002, China
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