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Liu Y, Xiao W, Wang F, Wang Y, Dong Y, Nie W, Tan C, An S, Chang E, Jiang Z, Wang J, Jia Z. Species divergence and environmental adaptation of Picea asperata complex at the whole genome level. Ecol Evol 2024; 14:e70126. [PMID: 39114168 PMCID: PMC11303459 DOI: 10.1002/ece3.70126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 07/15/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
To study the interspecific differentiation characteristics of species originating from recent radiation, the genotyping-by-sequencing (GBS) technique was used to explore the kinship, population structure, gene flow, genetic variability, genotype-environment association and selective sweeps of Picea asperata complex with similar phenotypes from a genome-wide perspective. The following results were obtained: 14 populations of P. asperata complex could be divided into 5 clades; P. wilsonii and P. neoveitchii diverged earlier and were more distantly related to the remaining 6 spruce species. Various geological events have promoted the species differentiation of P. asperata complex. There were four instances of gene flow among P. koraiensis, P. meyeri, P. asperata, P. crassifolia and P. mongolica. The population of P. mongolica had the highest level of nucleotide diversity, and P. neoveitchii may have experienced a bottleneck recently. Genotype-environment association found that a total of 20,808 genes were related to the environmental variables, which enhanced the adaptability of spruce in different environments. Genes that were selectively swept in the P. asperata complex were primarily associated with plant stress resistance. Among them were some genes involved in plant growth and development, heat stress, circadian rhythms and flowering. In addition to the commonly selected genes, different spruce species also displayed unique genes subjected to selective sweeps that improved their adaptability to different habitats. Understanding the interspecific gene flow and adaptive evolution of Picea species is beneficial to further understanding the species relationships of spruce and can provide a basis for studying spruce introgression and functional genomics.
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Affiliation(s)
- Yifu Liu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
- State Key Laboratory of Tree Genetics and BreedingChinese Academy of ForestryBeijingChina
| | - Wenfa Xiao
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
| | - Fude Wang
- Heilongjiang Forestry Research InstituteHarbinChina
| | - Ya Wang
- Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Yao Dong
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
| | - Wen Nie
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
| | - Cancan Tan
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
| | - Sanping An
- Research Institute of Forestry of Xiaolong MountainGansu Provincial Key Laboratory of Secondary Forest CultivationTianshuiChina
| | - Ermei Chang
- Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Zeping Jiang
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation InstituteChinese Academy of ForestryBeijingChina
| | - Junhui Wang
- State Key Laboratory of Tree Genetics and BreedingChinese Academy of ForestryBeijingChina
- Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
| | - Zirui Jia
- State Key Laboratory of Tree Genetics and BreedingChinese Academy of ForestryBeijingChina
- Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of ForestryChinese Academy of ForestryBeijingChina
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Wang Z, Miao L, Chen Y, Peng H, Ni Z, Sun Q, Guo W. Deciphering the evolution and complexity of wheat germplasm from a genomic perspective. J Genet Genomics 2023; 50:846-860. [PMID: 37611848 DOI: 10.1016/j.jgg.2023.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/29/2023] [Accepted: 08/09/2023] [Indexed: 08/25/2023]
Abstract
Bread wheat provides an essential fraction of the daily calorific intake for humanity. Due to its huge and complex genome, progress in studying on the wheat genome is substantially trailed behind those of the other two major crops, rice and maize, for at least a decade. With rapid advances in genome assembling and reduced cost of high-throughput sequencing, emerging de novo genome assemblies of wheat and whole-genome sequencing data are leading to a paradigm shift in wheat research. Here, we review recent progress in dissecting the complex genome and germplasm evolution of wheat since the release of the first high-quality wheat genome. New insights have been gained in the evolution of wheat germplasm during domestication and modern breeding progress, genomic variations at multiple scales contributing to the diversity of wheat germplasm, and complex transcriptional and epigenetic regulations of functional genes in polyploid wheat. Genomics databases and bioinformatics tools meeting the urgent needs of wheat genomics research are also summarized. The ever-increasing omics data, along with advanced tools and well-structured databases, are expected to accelerate deciphering the germplasm and gene resources in wheat for future breeding advances.
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Affiliation(s)
- Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Lingfeng Miao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yongming Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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Gao Z, Bian J, Lu F, Jiao Y, He H. Triticeae crop genome biology: an endless frontier. FRONTIERS IN PLANT SCIENCE 2023; 14:1222681. [PMID: 37546276 PMCID: PMC10399237 DOI: 10.3389/fpls.2023.1222681] [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: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 08/08/2023]
Abstract
Triticeae, the wheatgrass tribe, includes several major cereal crops and their wild relatives. Major crops within the Triticeae are wheat, barley, rye, and oat, which are important for human consumption, animal feed, and rangeland protection. Species within this tribe are known for their large genomes and complex genetic histories. Powered by recent advances in sequencing technology, researchers worldwide have made progress in elucidating the genomes of Triticeae crops. In addition to assemblies of high-quality reference genomes, pan-genome studies have just started to capture the genomic diversities of these species, shedding light on our understanding of the genetic basis of domestication and environmental adaptation of Triticeae crops. In this review, we focus on recent signs of progress in genome sequencing, pan-genome analyses, and resequencing analysis of Triticeae crops. We also propose future research avenues in Triticeae crop genomes, including identifying genome structure variations, the association of genomic regions with desired traits, mining functions of the non-coding area, introgression of high-quality genes from wild Triticeae resources, genome editing, and integration of genomic resources.
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Affiliation(s)
- Zhaoxu Gao
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
| | - Fei Lu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuling Jiao
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory for Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Hang He
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
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Dondup D, Yang Y, Xu D, Namgyal L, Wang Z, Shen X, Dorji T, kyi N, Drolma L, Gao L, Ga Z, Sang Z, Ga Z, Mu W, Zhuoma P, Taba X, Jiao G, Liao W, Tang Y, Zeng X, Luobu Z, Wu Y, Wang C, Zhang J, Qi Z, Guo W, Guo G. Genome diversity and highland-adaptative variation in Tibet barley landrace population of China. FRONTIERS IN PLANT SCIENCE 2023; 14:1189642. [PMID: 37235004 PMCID: PMC10206316 DOI: 10.3389/fpls.2023.1189642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023]
Abstract
Barley landraces accumulated variation in adapting to extreme highland environments during long-term domestication in Tibet, but little is known about their population structure and genomic selection traces. In this study, tGBS (tunable genotyping by sequencing) sequencing, molecular marker and phenotypic analyses were conducted on 1,308 highland and 58 inland barley landraces in China. The accessions were divided into six sub-populations and clearly distinguished most six-rowed, naked barley accessions (Qingke in Tibet) from inland barley. Genome-wide differentiation was observed in all five sub-populations of Qingke and inland barley accessions. High genetic differentiation in the pericentric regions of chromosomes 2H and 3H contributed to formation of five types of Qingke. Ten haplotypes of the pericentric regions of 2H, 3H, 6H and 7H were further identified as associated with ecological diversification of these sub-populations. There was genetic exchange between eastern and western Qingke but they shared the same progenitor. The identification of 20 inland barley types indicated multiple origins of Qingke in Tibet. The distribution of the five types of Qingke corresponded to specific environments. Two predominant highland-adaptative variations were identified for low temperature tolerance and grain color. Our results provide new insights into the origin, genome differentiation, population structure and highland adaptation in highland barley which will benefit both germplasm enhancement and breeding of naked barley.
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Affiliation(s)
- Dawa Dondup
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
- College of Plant Science, Tibet Agricultural and Husbandry University, Linzhi, China
| | - Yang Yang
- College of Life Sciences, Zaozhuang University, Zaozhuang, China
| | - Dongdong Xu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
- Institute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Lhundrup Namgyal
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Xia Shen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Tsechoe Dorji
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing, China
| | - Nyima kyi
- Tibet Climate Center, Tibet Meteorological Bureau, Lhasa, China
| | - Lhakpa Drolma
- Tibet Institute of Plateau Atmospheric and Environmental Sciences, Tibet Meteorological Bureau, Lhasa, China
- Key Laboratory of Atmospheric Environment of Tibet Autonomous Region, Tibet Meteorological Bureau, Lhasa, China
| | - Liyun Gao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhuo Ga
- College of Plant Science, Tibet Agricultural and Husbandry University, Linzhi, China
| | - Zha Sang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhuo Ga
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Wang Mu
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Pubu Zhuoma
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Xiongnu Taba
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Guocheng Jiao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Wenhua Liao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Yawei Tang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Xingquan Zeng
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhaxi Luobu
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Yufeng Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Chunchao Wang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
| | - Jing Zhang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
| | - Zengjun Qi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Ganggang Guo
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
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5
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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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Mukherjee S, Kuang Z, Ghosh S, Detroja R, Carmi G, Tripathy S, Barash D, Frenkel-Morgenstern M, Nevo E, Li K. Incipient Sympatric Speciation and Evolution of Soil Bacteria Revealed by Metagenomic and Structured Non-Coding RNAs Analysis. BIOLOGY 2022; 11:biology11081110. [PMID: 35892966 PMCID: PMC9331176 DOI: 10.3390/biology11081110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/09/2022] [Accepted: 07/13/2022] [Indexed: 11/29/2022]
Abstract
Simple Summary The microevolutionary dynamics of soil bacteria under microclimatic differences are largely unexplored in contrast to our improving knowledge of their vast diversity. In this study, we performed a comparative metagenomic analysis of two sharply divergent rocks and soil types at the Evolution Plateau (EP) in eastern Upper Galilee, Israel. We have identified the significant differences in bacterial taxonomic diversity, functions, and patterns of RNA-based gene regulation between the bacteria from two different soil types. Furthermore, we have identified several species with a significant genetic divergence of the same species between the two soil types, highlighting the soil bacteria’s incipient sympatric speciation. Abstract Soil bacteria respond rapidly to changes in new environmental conditions. For adaptation to the new environment, they could mutate their genome, which impacts the alternation of the functional and regulatory landscape. Sometimes, these genetic and ecological changes may drive the bacterial evolution and sympatric speciation. Although sympatric speciation has been controversial since Darwin suggested it in 1859, there are several strong theoretical or empirical evidences to support it. Sympatric speciation associated with soil bacteria remains largely unexplored. Here, we provide potential evidence of sympatric speciation of soil bacteria by comparison of metagenomics from two sharply contrasting abutting divergence rock and soil types (Senonian chalk and its rendzina soil, and abutting Pleistocene basalt rock and basalt soil). We identified several bacterial species with significant genetic differences in the same species between the two soil types and ecologies. We show that the bacterial community composition has significantly diverged between the two soils; correspondingly, their functions were differentiated in order to adapt to the local ecological stresses. The ecologies, such as water availability and pH value, shaped the adaptation and speciation of soil bacteria revealed by the clear-cut genetic divergence. Furthermore, by a novel analysis scheme of riboswitches, we highlight significant differences in structured non-coding RNAs between the soil bacteria from two divergence soil types, which could be an important driver for functional adaptation. Our study provides new insight into the evolutionary divergence and incipient sympatric speciation of soil bacteria under microclimatic ecological differences.
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Affiliation(s)
- Sumit Mukherjee
- State Key Laboratory of Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou 730050, China;
- Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel;
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel; (R.D.); (G.C.); (M.F.-M.)
- Institute of Evolution, University of Haifa, Mount Carmel, Haifa 3498838, Israel;
- Correspondence: (S.M.); (K.L.)
| | - Zhuoran Kuang
- State Key Laboratory of Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou 730050, China;
| | - Samrat Ghosh
- Computational Genomics Laboratory, Department of Structural Biology and Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata 700054, India; (S.G.); (S.T.)
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201009, India
| | - Rajesh Detroja
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel; (R.D.); (G.C.); (M.F.-M.)
| | - Gon Carmi
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel; (R.D.); (G.C.); (M.F.-M.)
| | - Sucheta Tripathy
- Computational Genomics Laboratory, Department of Structural Biology and Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata 700054, India; (S.G.); (S.T.)
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201009, India
| | - Danny Barash
- Department of Computer Science, Ben-Gurion University, Beer-Sheva 8410501, Israel;
| | - Milana Frenkel-Morgenstern
- Cancer Genomics and BioComputing of Complex Diseases Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel; (R.D.); (G.C.); (M.F.-M.)
| | - Eviatar Nevo
- Institute of Evolution, University of Haifa, Mount Carmel, Haifa 3498838, Israel;
| | - Kexin Li
- State Key Laboratory of Grassland Agro-Ecosystem, College of Ecology, Lanzhou University, Lanzhou 730050, China;
- Correspondence: (S.M.); (K.L.)
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Hou H, Wang X, Ding W, Xiao C, Cai X, Lv W, Tu Y, Zhao W, Yao J, Yang C. Whole-genome sequencing reveals the artificial selection and local environmental adaptability of pigeons ( Columba livia). Evol Appl 2022; 15:603-617. [PMID: 35505885 PMCID: PMC9046921 DOI: 10.1111/eva.13284] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 06/17/2021] [Accepted: 07/12/2021] [Indexed: 12/16/2022] Open
Abstract
To meet human needs, domestic pigeons (Columba livia) with various phenotypes have been bred to provide genetic material for our research on artificial selection and local environmental adaptation. Seven pigeon breeds were resequenced and can be divided into commercial varieties (Euro-pigeon, Shiqi, Shen King, Taishen, and Silver King), ornamental varieties (High Fliers), and local varieties (Tarim pigeon). Phylogenetic analysis based on population resequencing showed that one group contained local breeds and ornamental pigeons from China, whereas all commercial varieties were clustered together. It is revealed that the traditional Chinese ornamental pigeon is a branch of Tarim pigeon. Runs of homozygosity (ROH) and linkage disequilibrium (LD) analyses revealed significant differences in the genetic diversity of the three types of pigeons. Genome sweep analysis revealed that the selected genes of commercial breeds were related to body size, reproduction, and plumage color. The genomic imprinting genes left by the ornamental pigeon breeds were mostly related to special human facial features and muscular dystrophy. The Tarim pigeon has evolved genes related to chemical ion transport, photoreceptors, oxidative stress, organ development, and olfaction in order to adapt to local environmental stress. This research provides a molecular basis for pigeon genetic resource evaluation and genetic improvement and suggests that the understanding of adaptive evolution should integrate the effects of various natural environmental characteristics.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
| | - Weixing Ding
- Shanghai Academy of Agricultural SciencesShanghaiChina
| | - Changfeng Xiao
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
| | - Xia Cai
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
| | - Wenwei Lv
- National Poultry Engineer Research CenterShanghaiChina
| | - Yingying Tu
- National Poultry Engineer Research CenterShanghaiChina
| | - Weimin Zhao
- Shanghai Jinhuang Pigeon CompanyShanghaiChina
| | - Junfeng Yao
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
| | - Changsuo Yang
- Shanghai Academy of Agricultural SciencesShanghaiChina
- National Poultry Engineer Research CenterShanghaiChina
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8
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Cai S, Shen Q, Huang Y, Han Z, Wu D, Chen ZH, Nevo E, Zhang G. Multi-Omics Analysis Reveals the Mechanism Underlying the Edaphic Adaptation in Wild Barley at Evolution Slope (Tabigha). ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101374. [PMID: 34390227 PMCID: PMC8529432 DOI: 10.1002/advs.202101374] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/27/2021] [Indexed: 06/13/2023]
Abstract
At the microsite "Evolution Slope", Tabigha, Israel, wild barley (Hordeum spontaneum) populations adapted to dry Terra Rossa soil, and its derivative abutting wild barley population adapted to moist and fungi-rich Basalt soil. However, the mechanisms underlying the edaphic adaptation remain elusive. Accordingly, whole genome bisulfite sequencing, RNA-sequencing, and metabolome analysis are performed on ten wild barley accessions inhabiting Terra Rossa and Basalt soil. A total of 121 433 differentially methylated regions (DMRs) and 10 478 DMR-genes are identified between the two wild barley populations. DMR-genes in CG context (CG-DMR-genes) are enriched in the pathways related with the fundamental processes, and DMR-genes in CHH context (CHH-DMR-genes) are mainly associated with defense response. Transcriptome and metabolome analysis reveal that the primary and secondary metabolisms are more active in Terra Rossa and Basalt wild barley populations, respectively. Multi-omics analysis indicate that sugar metabolism facilitates the adaptation of wild barley to dry Terra Rossa soil, whereas the enhancement of phenylpropanoid/phenolamide biosynthesis is beneficial for wild barley to inhabit moist and fungi pathogen-rich Basalt soil. The current results make a deep insight into edaphic adaptation of wild barley and provide elite genetic and epigenetic resources for developing barley with high abiotic stress tolerance.
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Affiliation(s)
- Shengguan Cai
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Qiufang Shen
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Yuqing Huang
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Institute of Crop Science, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Zhigang Han
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Dezhi Wu
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Zhong-Hua Chen
- School of Science, Western Sydney University, Penrith, NSW, 2751, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Eviatar Nevo
- Institute of Evolution, University of Haifa, Mount Carmel, Haifa, 34988384, Israel
| | - Guoping Zhang
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China
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