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Marsh JI, Johri P. Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection. Mol Biol Evol 2024; 41:msae118. [PMID: 38874402 PMCID: PMC11245712 DOI: 10.1093/molbev/msae118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/05/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024] Open
Abstract
Inferring the demographic history of populations provides fundamental insights into species dynamics and is essential for developing a null model to accurately study selective processes. However, background selection and selective sweeps can produce genomic signatures at linked sites that mimic or mask signals associated with historical population size change. While the theoretical biases introduced by the linked effects of selection have been well established, it is unclear whether ancestral recombination graph (ARG)-based approaches to demographic inference in typical empirical analyses are susceptible to misinference due to these effects. To address this, we developed highly realistic forward simulations of human and Drosophila melanogaster populations, including empirically estimated variability of gene density, mutation rates, recombination rates, purifying, and positive selection, across different historical demographic scenarios, to broadly assess the impact of selection on demographic inference using a genealogy-based approach. Our results indicate that the linked effects of selection minimally impact demographic inference for human populations, although it could cause misinference in populations with similar genome architecture and population parameters experiencing more frequent recurrent sweeps. We found that accurate demographic inference of D. melanogaster populations by ARG-based methods is compromised by the presence of pervasive background selection alone, leading to spurious inferences of recent population expansion, which may be further worsened by recurrent sweeps, depending on the proportion and strength of beneficial mutations. Caution and additional testing with species-specific simulations are needed when inferring population history with non-human populations using ARG-based approaches to avoid misinference due to the linked effects of selection.
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Affiliation(s)
- Jacob I Marsh
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Parul Johri
- Department of Biology, University of North Carolina, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
- Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC 27599, USA
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2
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Aung KM, Chu SH, Nawade B, Lee CY, Myung EJ, Park YJ. Analyzing the response of rice to tefuryltrione herbicide: Haplotype variation and evolutionary dynamics of the HIS1 gene. ENVIRONMENTAL RESEARCH 2024; 252:118839. [PMID: 38570131 DOI: 10.1016/j.envres.2024.118839] [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: 12/29/2023] [Revised: 03/15/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024]
Abstract
Weeds pose multifaceted challenges in rice cultivation, leading to substantial economic losses through reduced yield and poor grain quality. Harnessing the natural genetic diversity in germplasm collections becomes crucial for identifying novel herbicide resistance loci in crops. A comprehensive analysis was conducted on 475 rice accessions from the KRICE depository, assessing their response to TFT (tefuryltrione) and probing the underlying HIS1 (HPPD INHIBITOR SENSITIVE 1) genotypic variations. The HIS1 gene, responsible for detoxifying benzobicyclon (BBC) and imparting broad-spectrum herbicide resistance, holds significant promise in rice breeding. This study explores the genetic landscape of HIS1 within Korean rice collection (KRICE), aiming to unveil genetic variations, haplotype diversity, and evolutionary relationships across diverse rice ecotypes. The indica ecotype showed the highest nucleotide diversity, while the wild and temperate japonica groups exhibited low diversity, hinting at selective sweeps and possible population expansion. Negative Tajima's D values in temperate japonica and wild groups indicate an excess of low-frequency mutations, potentially resulting from selective sweeps. In contrast, with positive Tajima's D values, admixture, indica, and aus groups suggest balancing selection. Furthermore, haplotype analysis uncovered 42 distinct haplotypes within KRICE, with four shared haplotypes between cultivated and wild accessions, four specific to cultivated accessions, and 34 specific to wild types. Phenotypic assessments of these haplotypes revealed that three haplotypes, viz., Hap_1 (predominant in japonica), Hap_2 (predominant in indica), and Hap_3 (specific to indica), displayed significant differences from aus-specific Hap_4 and indica-specific Hap_5. This study offers insights into genetic diversity, selective pressures, and ecotype-specific responses, ultimately paving the way for developing HPPD-inhibiting herbicide-resistant rice cultivars.
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Affiliation(s)
- Kyaw Myo Aung
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea
| | - Sang-Ho Chu
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea
| | - Bhagwat Nawade
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea
| | - Chang-Yong Lee
- Department of Industrial and Systems Engineering, College of Engineering, Kongju National University, Cheonan 31080, Republic of Korea
| | - Eul Jai Myung
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea
| | - Yong-Jin Park
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Republic of Korea.
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3
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Yang FS, Liu M, Guo X, Xu C, Jiang J, Mu W, Fang D, Xu YC, Zhang FM, Wang YH, Yang T, Chen H, Sahu SK, Li R, Wang G, Wang Q, Xu X, Ge S, Liu H, Guo YL. Signatures of Adaptation and Purifying Selection in Highland Populations of Dasiphora fruticosa. Mol Biol Evol 2024; 41:msae099. [PMID: 38768215 PMCID: PMC11156201 DOI: 10.1093/molbev/msae099] [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: 08/23/2023] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/22/2024] Open
Abstract
High mountains harbor a considerable proportion of biodiversity, but we know little about how diverse plants adapt to the harsh environment. Here we finished a high-quality genome assembly for Dasiphora fruticosa, an ecologically important plant distributed in the Qinghai-Tibetan Plateau and lowland of the Northern Hemisphere, and resequenced 592 natural individuals to address how this horticulture plant adapts to highland. Demographic analysis revealed D. fruticosa underwent a bottleneck after Naynayxungla Glaciation. Selective sweep analysis of two pairs of lowland and highland populations identified 63 shared genes related to cell wall organization or biogenesis, cellular component organization, and dwarfism, suggesting parallel adaptation to highland habitats. Most importantly, we found that stronger purging of estimated genetic load due to inbreeding in highland populations apparently contributed to their adaptation to the highest mountain. Our results revealed how plants could tolerate the extreme plateau, which could provide potential insights for species conservation and crop breeding.
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Affiliation(s)
- Fu-Sheng Yang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Wuhan 430074, China
| | - Xing Guo
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Wuhan 430074, China
| | - Chao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Juan Jiang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weixue Mu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Dongming Fang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Yong-Chao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Fu-Min Zhang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ying-Hui Wang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ting Yang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Hongyun Chen
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
- BGI Research, Wuhan 430074, China
| | - Ruirui Li
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Guanlong Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Qiang Wang
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xun Xu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Song Ge
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huan Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen 518083, China
| | - Ya-Long Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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4
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Liao Y, Li M, Wu H, Liao Y, Xin J, Yuan X, Li Y, Wei A, Zou X, Guo D, Xue Z, Zhu G, Wang Z, Xu P, Zhang H, Chen X, Du K, Zhou H, Xia D, Ali A, Wu X. Generation of aroma in three-line hybrid rice through CRISPR/Cas9 editing of BETAINE ALDEHYDE DEHYDROGENASE2 (OsBADH2). PHYSIOLOGIA PLANTARUM 2024; 176:e14206. [PMID: 38356346 DOI: 10.1111/ppl.14206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 02/16/2024]
Abstract
Aroma or fragrance in rice is a genetically controlled trait; Its high appreciation by consumers increases the rice market price. Previous studies have revealed that the rice aroma is controlled by a specific gene called BETAINE ALDEHYDE DEHYDROGENASE (OsBADH2), and mutation of this gene leads to the accumulation of an aromatic substance 2-acetyl-1-pyrroline (2-AP). The use of genetic engineering to produce aroma in commercial and cultivated hybrids is a contemporary need for molecular breeding. The current study reports the generation of aroma in the three-line hybrid restorer line Shu-Hui-313 (SH313). We created knock-out (KO) lines of OsBADH2 through the CRISPR/Cas9. The analysis of KO lines revealed a significantly increased content of 2AP in the grains compared with the control. However, other phenotypic traits (plant height, seed setting rate, and 1000-grain weight) were significantly decreased. These KO lines were crossed with a non-aromatic three-line hybrid rice male sterile line (Rong-7-A) to produce Rong-7-You-626 (R7Y626), R7Y627 and R7Y628. The measurement of 2-AP revealed significantly increased contents in these cross combinations. We compared the content of 2-AP in tissues at the booting stage. Data revealed that young spike stalk base contained the highest content of 2-AP and can be used for identification (by simple chewing) of aromatic lines under field conditions. In conclusion, our dataset offers a genetic source and illustrates the generation of aroma in non-aromatic hybrids, and outlines a straightforward identification under field conditions.
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Affiliation(s)
- Yongxiang Liao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Mengyuan Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Hezhou Wu
- Hu Nan Tao Hua Yuan Agriculture Technology Co., LTD, Changde, China
| | - Yingxiu Liao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Jialu Xin
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xinmiao Yuan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Yong Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Aiji Wei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xuemei Zou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Daiming Guo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhenzhen Xue
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Guoxu Zhu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Zhaoning Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Peizhou Xu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Hongyu Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xiaoqiong Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Kangxi Du
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Hao Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Duo Xia
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Asif Ali
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Xianjun Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute, Sichuan Agricultural University, Chengdu, China
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5
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Bedford JA, Carine M, Chapman MA. Detection of locally adapted genomic regions in wild rice (Oryza rufipogon) using environmental association analysis. G3 (BETHESDA, MD.) 2023; 13:jkad194. [PMID: 37619981 PMCID: PMC10542315 DOI: 10.1093/g3journal/jkad194] [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: 07/19/2023] [Revised: 08/14/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
Oryza rufipogon is the wild progenitor of cultivated rice Oryza sativa and exhibits high levels of genetic diversity across its distribution, making it a useful resource for the identification of abiotic stress-tolerant varieties and genes that could limit future climate-changed-induced yield losses. To investigate local adaptation in O. rufipogon, we analyzed single nucleotide polymorphism (SNP) data from a panel of 286 samples located across a diverse range of climates. Environmental association analysis (EAA), a genome-wide association study (GWAS)-based method, was used and revealed 15 regions of the genome significantly associated with various climate factors. Genes within these environmentally associated regions have putative functions in abiotic stress response, phytohormone signaling, and the control of flowering time. This provides an insight into potential local adaptation in O. rufipogon and reveals possible locally adaptive genes that may provide opportunities for breeding novel rice varieties with climate change-resilient phenotypes.
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Affiliation(s)
- James A Bedford
- Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
- Life Sciences, The Natural History Museum, London SW7 5BD, UK
| | - Mark Carine
- Life Sciences, The Natural History Museum, London SW7 5BD, UK
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK
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6
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Hull KL, Greenwood MP, Lloyd M, Bester-van der Merwe AE, Rhode C. Gene expression differentials driven by mass rearing and artificial selection in black soldier fly colonies. INSECT MOLECULAR BIOLOGY 2023; 32:86-105. [PMID: 36322045 DOI: 10.1111/imb.12816] [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: 02/03/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
The micro-evolutionary forces that shape genetic diversity during domestication have been assessed in many plant and animal systems. However, the impact of these processes on gene expression, and consequent functional adaptation to artificial environments, remains under-investigated. In this study, whole-transcriptome dynamics associated with the early stages of domestication of the black soldier fly (BSF), Hermetia illucens, were assessed. Differential gene expression (DGE) was evaluated in relation to (i) generational time within the cultured environment (F2 vs. F3), and (ii) two selection strategies [no artificial selective pressure (NS); and selection for greater larval mass (SEL)]. RNA-seq was conducted on 5th instar BSF larvae (n = 36), representing equal proportions of the NS (F2 = 9; F3 = 9) and SEL (F2 = 9; F3 = 9) groups. A multidimensional scaling plot revealed greater gene expression variability within the NS and F2 subgroups, while the SEL group clustered separately with lower levels of variation. Comparisons between generations revealed 898 differentially expressed genes (DEGs; FDR-corrected p < 0.05), while between selection strategies, 213 DEGs were observed (FDR-corrected p < 0.05). Enrichment analyses revealed that metabolic, developmental, and defence response processes were over-expressed in the comparison between F2 and F3 larvae, while metabolic processes were the main differentiating factor between NS and SEL lines. This illustrates the functional adaptations that occur in BSF colonies across generations due to mass rearing; as well as highlighting genic dynamics associated with artificial selection for production traits that might inform future selective breeding strategies.
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Affiliation(s)
- Kelvin L Hull
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | | | - Melissa Lloyd
- Research and Development Department, Insect Technology Group Holdings UK Ltd., Guildford, UK
| | | | - Clint Rhode
- Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
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7
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Chen Y, Yang W, Gao R, Chen Y, Zhou Y, Xie J, Zhang F. Genome-Wide Analysis of microRNAs and Their Target Genes in Dongxiang Wild Rice ( Oryza rufipogon Griff.) Responding to Salt Stress. Int J Mol Sci 2023; 24:ijms24044069. [PMID: 36835475 PMCID: PMC9960954 DOI: 10.3390/ijms24044069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Rice (Oryza sativa) is a staple food for more than half of the world's population, and its production is critical for global food security. Moreover, rice yield decreases when exposed to abiotic stresses, such as salinity, which is one of the most detrimental factors for rice production. According to recent trends, as global temperatures continue to rise due to climate change, more rice fields may become saltier. Dongxiang wild rice (Oryza rufipogon Griff., DXWR) is a progenitor of cultivated rice and has a high tolerance to salt stress, making it useful for studying the regulatory mechanisms of salt stress tolerance. However, the regulatory mechanism of miRNA-mediated salt stress response in DXWR remains unclear. In this study, miRNA sequencing was performed to identify miRNAs and their putative target genes in response to salt stress in order to better understand the roles of miRNAs in DXWR salt stress tolerance. A total of 874 known and 476 novel miRNAs were identified, and the expression levels of 164 miRNAs were found to be significantly altered under salt stress. The stem-loop quantitative real-time PCR (qRT-PCR) expression levels of randomly selected miRNAs were largely consistent with the miRNA sequencing results, suggesting that the sequencing results were reliable. The gene ontology (GO) analysis indicated that the predicted target genes of salt-responsive miRNAs were involved in diverse biological pathways of stress tolerance. This study contributes to our understanding of DXWR salt tolerance mechanisms regulated by miRNAs and may ultimately improve salt tolerance in cultivated rice breeding using genetic methods in the future.
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Affiliation(s)
- Yong Chen
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
| | - Wanling Yang
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
| | - Rifang Gao
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
| | - Yaling Chen
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
| | - Yi Zhou
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
| | - Jiankun Xie
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
- Correspondence: (J.X.); (F.Z.)
| | - Fantao Zhang
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
- Correspondence: (J.X.); (F.Z.)
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8
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Assessment of allelic and genetic diversity, and population structure among farmers' rice varieties using microsatellite markers and morphological traits. GENE REPORTS 2022. [DOI: 10.1016/j.genrep.2022.101719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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9
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Angira B, Cerioli T, Famoso AN. Discovery and Validation of Grain Shape Loci in U.S. Rice Germplasm Through Haplotype Characterization. Front Genet 2022; 13:923078. [PMID: 36171886 PMCID: PMC9511171 DOI: 10.3389/fgene.2022.923078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/10/2022] [Indexed: 11/21/2022] Open
Abstract
Rice grain shape is a major determinant of rice market value and the end-use. We mapped quantitative trait loci (QTL) for grain shape traits in a bi-parental recombinant inbred line population (Trenasse/Jupiter) and discovered two major grain length QTLs—qGL3.1 and qGL7.1. Previously, a major grain shape gene GS3 was reported in the qGL3.1 region and grain length gene GL7 was reported to be encompassing qGL7.1 locus. The re-sequencing SNP data on the International Rice Research Institute (IRRI) 3K Rice Genome Project (RGP) panel were obtained from the IRRI SNP-Seek database for both genes and haplotype diversity was characterized for each gene in this diverse panel. United States rice germplasm was not well represented in the IRRI 3K RGP database. Therefore, a minimum SNP set was identified for each gene that could differentiate all the characterized haplotypes. These haplotypes in the 3K RGP panel were screened across 323 elite U.S. genotypes using the minimum SNP set. The screening of haplotypes and phenotype association confirmed the role of GS3 under qGL3.1. However, screening of the GL7 haplotypes in the U.S. germplasm panel showed that GL7 did not play a role in qGL7.1, and in addition, GL7.1 did not segregate in the Trenasse/Jupiter RIL population. This concluded that qGL7.1 is a novel QTL discovered on chr7 for grain shape in the Trenasse/Jupiter RIL population. A high-throughput KASP-based SNP marker for each locus (GS3 and qGL7.1) was identified and validated in elite U.S. rice germplasm to be used in an applied rice breeding program.
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Affiliation(s)
- Brijesh Angira
- H. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Baton Rouge, LA, United States
- *Correspondence: Brijesh Angira, ; Adam N. Famoso,
| | - Tommaso Cerioli
- School of Plant, Environmental and Soil Science, Louisiana State University, Baton Rouge, LA, United States
| | - Adam N. Famoso
- H. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Baton Rouge, LA, United States
- *Correspondence: Brijesh Angira, ; Adam N. Famoso,
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Identification of quantitative trait loci for tillering, root, and shoot biomass at the maximum tillering stage in rice. Sci Rep 2022; 12:13304. [PMID: 35922462 PMCID: PMC9349274 DOI: 10.1038/s41598-022-17109-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 07/20/2022] [Indexed: 11/14/2022] Open
Abstract
Tillering and plant biomass are key determinants of rice crop productivity. Tillering at the vegetative stage is associated with weed competition, nutrient uptake, and methane emissions. However, little information is available on quantitative trait loci (QTLs) associated with tiller number (qTN), root biomass (qRB), and shoot biomass (qSB) at the active tillering stage which occurs approximately 6 weeks after planting. Here, we mapped tiller and biomass QTLs with ~ 250 recombinant inbred lines derived from a ‘Francis’ by ‘Rondo’ cross using data collected at the maximum tillering stage from two years of greenhouse study, and further compared these QTLs with those mapped at the harvest stage from a field study. Across these three studies, we discovered six qTNs, two qRBs, and three qSBs. Multiple linear regression further indicated that qTN1-2, qTN3-3, qTN4-1, qRB3-1, and qRB5-1 were significant at the maximum tillering stage while qTN3-2 was detected only at the harvest stage. Moreover, qTN3-1 was consistently significant across different developmental stages and growing environments. The genes identified from the peak target qTN regions included a carotenoid metabolism enzyme, a MYB transcription factor, a CBS domain-containing protein, a SAC3/GANP family protein, a TIFY motif containing protein, and an ABC transporter protein. Two genes in the qRB peak target regions included an expressed protein and a WRKY gene. This knowledge of the QTLs, associated markers, candidate genes, and germplasm resources with high TN, RB and SB is of value to rice cultivar improvement programs.
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11
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Sotiropoulos AG, Arango-Isaza E, Ban T, Barbieri C, Bourras S, Cowger C, Czembor PC, Ben-David R, Dinoor A, Ellwood SR, Graf J, Hatta K, Helguera M, Sánchez-Martín J, McDonald BA, Morgounov AI, Müller MC, Shamanin V, Shimizu KK, Yoshihira T, Zbinden H, Keller B, Wicker T. Global genomic analyses of wheat powdery mildew reveal association of pathogen spread with historical human migration and trade. Nat Commun 2022; 13:4315. [PMID: 35882860 PMCID: PMC9315327 DOI: 10.1038/s41467-022-31975-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 07/13/2022] [Indexed: 12/25/2022] Open
Abstract
The fungus Blumeria graminis f. sp. tritici causes wheat powdery mildew disease. Here, we study its spread and evolution by analyzing a global sample of 172 mildew genomes. Our analyses show that B.g. tritici emerged in the Fertile Crescent during wheat domestication. After it spread throughout Eurasia, colonization brought it to America, where it hybridized with unknown grass mildew species. Recent trade brought USA strains to Japan, and European strains to China. In both places, they hybridized with local ancestral strains. Thus, although mildew spreads by wind regionally, our results indicate that humans drove its global spread throughout history and that mildew rapidly evolved through hybridization. The fungus Blumeria graminis f. sp. tritici causes wheat powdery mildew disease. Here, Sotiropoulos et al. analyze a global sample of 172 mildew genomes, providing evidence that humans drove global spread of the pathogen throughout history and that mildew rapidly evolved through hybridization with local fungal strains.
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Affiliation(s)
| | - Epifanía Arango-Isaza
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Tomohiro Ban
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Kanagawa, Japan
| | - Chiara Barbieri
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Salim Bourras
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.,Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Christina Cowger
- USDA-ARS Department of Plant Pathology, North Carolina State University, Raleigh, NC, USA
| | - Paweł C Czembor
- Plant Breeding and Acclimatization Institute - National Research Institute, Radzików, 05-870 Błonie, Poland
| | - Roi Ben-David
- Department of Vegetables and Field crops, Institute of Plant Sciences, ARO-Volcani Center, Rishon LeZion, 7528809, Israel
| | - Amos Dinoor
- Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Simon R Ellwood
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | - Johannes Graf
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Koichi Hatta
- Hokkaido Agricultural Research Center Field Crop Research and Development, National Agricultural Research Organization, Sapporo, Hokkaido, Japan
| | - Marcelo Helguera
- Centro de Investigaciones Agropecuarias (CIAP), INTA, Córdoba, Argentina
| | - Javier Sánchez-Martín
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Bruce A McDonald
- Plant Pathology, Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
| | - Alexey I Morgounov
- Food and Agriculture Organization of the United Nations, Riyadh, Saudi Arabia
| | - Marion C Müller
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | | | - Kentaro K Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Kihara Institute for Biological Research, Yokohama City University, Yokohama, Kanagawa, Japan
| | - Taiki Yoshihira
- Department of Sustainable Agriculture, Rakuno Gakuen University, Ebetsu, Hokkaido, Japan
| | - Helen Zbinden
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Beat Keller
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.
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12
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Draft genome sequence of Indian mulberry (Morus indica) provides a resource for functional and translational genomics. Genomics 2022; 114:110346. [PMID: 35331861 DOI: 10.1016/j.ygeno.2022.110346] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 01/23/2022] [Accepted: 03/17/2022] [Indexed: 01/14/2023]
Abstract
Mulberry is an important crop plant for the sericulture industry. Here, we report high-quality genome sequence of a cultivated Indian mulberry (Morus indica cv K2) obtained by combining data from four different technologies, including Illumina, single-molecule real-time sequencing, chromosome conformation capture and optical mapping, with a gene completeness of 96.5%. Based on the genome sequence, we identified 49.2% of repetitive DNA and 27,435 high-confidence protein-coding genes with >90% of them supported by transcript evidence. A comparative analysis with other plant genomes identified 4.8% of species-specific genes in the M. indica genome. Transcriptome profiling revealed tissue-specific and differential expression across multiple accessions of ~4.7% and 2-5% of protein-coding genes, respectively, implicated in diverse biological processes. Whole genome resequencing of 21 accessions/species revealed ~2.5 million single nucleotide polymorphisms and ~ 0.2 million insertions/deletions. These data and results provide a comprehensive resource to accelerate the genomics research in mulberry for its improvement.
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13
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Selection-enriched genomic loci (SEGL) reveals genetic loci for environmental adaptation and photosynthetic productivity in Chlamydomonas reinhardtii. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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14
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Griffiths M, Delory BM, Jawahir V, Wong KM, Bagnall GC, Dowd TG, Nusinow DA, Miller AJ, Topp CN. Optimisation of root traits to provide enhanced ecosystem services in agricultural systems: A focus on cover crops. PLANT, CELL & ENVIRONMENT 2022; 45:751-770. [PMID: 34914117 PMCID: PMC9306666 DOI: 10.1111/pce.14247] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/05/2021] [Accepted: 12/01/2021] [Indexed: 05/26/2023]
Abstract
Roots are the interface between the plant and the soil and play a central role in multiple ecosystem processes. With intensification of agricultural practices, rhizosphere processes are being disrupted and are causing degradation of the physical, chemical and biotic properties of soil. However, cover crops, a group of plants that provide ecosystem services, can be utilised during fallow periods or used as an intercrop to restore soil health. The effectiveness of ecosystem services provided by cover crops varies widely as very little breeding has occurred in these species. Improvement of ecosystem service performance is rarely considered as a breeding trait due to the complexities and challenges of belowground evaluation. Advancements in root phenotyping and genetic tools are critical in accelerating ecosystem service improvement in cover crops. In this study, we provide an overview of the range of belowground ecosystem services provided by cover crop roots: (1) soil structural remediation, (2) capture of soil resources and (3) maintenance of the rhizosphere and building of organic matter content. Based on the ecosystem services described, we outline current and promising phenotyping technologies and breeding strategies in cover crops that can enhance agricultural sustainability through improvement of root traits.
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Affiliation(s)
| | | | | | - Kong M. Wong
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | | | - Tyler G. Dowd
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | | | - Allison J. Miller
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
- Department of BiologySaint Louis UniversitySt. LouisMissouriUSA
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15
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He PY, Shao XQ, Duan SF, Han DY, Li K, Shi JY, Zhang RP, Han PJ, Wang QM, Bai FY. Highly diverged lineages of Saccharomyces paradoxus in temperate to subtropical climate zones in China. Yeast 2021; 39:69-82. [PMID: 34961959 DOI: 10.1002/yea.3688] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 11/06/2022] Open
Abstract
The wild yeast Saccharomyces paradoxus has become a new model in ecology and evolutionary biology. Different lineages of S. paradoxus have been recognized across the world, but the distribution and genetic diversity of the species remain unknown in China, where the origin of its sibling species S. cerevisiae lies. In this study, we investigated the ecological and geographic distribution of S. paradoxus through an extensive field survey in China and performed population genomic analysis on a set of S. paradoxus strains, including 27 strains, representing different geographic and ecological origins within China, and 59 strains representing all the known lineages of the species recognized in the other regions of the world so far. We found two distinct lineages of S. paradoxus in China. The majority of the Chinese strains studied belong to the Far East lineage, and six strains belong to a novel highly diverged lineage. The distribution of these two lineages overlaps ecologically and geographically in temperate to subtropical climate zones in China. With the addition of the new China lineage, the Eurasian population of S. paradoxus exhibits higher genetic diversity than the American population. We observed more possible lineage-specific introgression events from the Eurasian lineages than from the American lineages. Our results expand the knowledge on ecology, genetic diversity, biogeography, and evolution of S. paradoxus.
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Affiliation(s)
- Peng-Yu He
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xu-Qian Shao
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,Genetic Engineering Division, China National Intellectual Property Administration (CNIPA), Beijing, China
| | - Shou-Fu Duan
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Da-Yong Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Kuan Li
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jun-Yan Shi
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ri-Peng Zhang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Pei-Jie Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Qi-Ming Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, Hebei, China
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
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16
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Hassan DA, Hama-Ali EO. Evaluation of gene flow and genetic diversity in rice accessions across Kurdistan region-iraq using SSR markers. Mol Biol Rep 2021; 49:1007-1016. [PMID: 34746989 PMCID: PMC8572534 DOI: 10.1007/s11033-021-06920-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/30/2021] [Indexed: 11/17/2022]
Abstract
Background In recent years, farmers have complained that the only way to obtain seeds is to select plants that show good performance under local climate conditions in the region. This study aimed to investigate the diversity of rice accessions grown in the region to build a breeding program. Methods and results A total of 62 accessions of rice from farmers and research stations were collected from the Kurdistan region, including short-grain and long-grain types, for molecular genetics and diversity analysis. In this study, 37 polymorphic simple sequence repeat (SSR) markers were selected with several molecular genetics software programs. The results show that these SSR markers are very effective for this investigation, generating a total of 152 observed alleles (Na), 75.166 Effective number of alleles (Ne) and an average of 4.1 and 2.03 alleles per locus, respectively. The average polymorphic information content (PIC) per locus was recorded as 0.404. The research presented here confirms two subpopulations, japonica (C1 and C2) and indica (C3), based on molecular genetics data analysis. Analysis of molecular variance revealed that the 72% variance was due to the variation among populations and 28% within the population. Conclusions Altogether, these results indicate that there is very low gene flow. These results show the importance of the study of genetic diversity and relationships for starting breeding and improvement programs for rice in the Kurdistan region. Supplementary Information The online version contains supplementary material available at 10.1007/s11033-021-06920-x.
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Affiliation(s)
- Diyar Ahmed Hassan
- Biotechnology and Crop Science Department, College of Agricultural Engineering Sciences, University of Sulaimani, Sulaymaniyah, 46001, Iraq
| | - Emad Omer Hama-Ali
- Biotechnology and Crop Science Department, College of Agricultural Engineering Sciences, University of Sulaimani, Sulaymaniyah, 46001, Iraq.
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17
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Zhang G, Wang R, Ma J, Gao H, Deng L, Wang N, Wang Y, Zhang J, Li K, Zhang W, Mu F, Liu H, Wang Y. Genome-wide association studies of yield-related traits in high-latitude japonica rice. BMC Genom Data 2021; 22:39. [PMID: 34610789 PMCID: PMC8493688 DOI: 10.1186/s12863-021-00995-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/13/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Heilongjiang Province is a high-quality japonica rice cultivation area in China. One in ten bowls of Chinese rice is produced here. Increasing yield is one of the main aims of rice production in this area. However, yield is a complex quantitative trait composed of many factors. The purpose of this study was to determine how many genetic loci are associated with yield-related traits. Genome-wide association studies (GWAS) were performed on 450 accessions collected from northeast Asia, including Russia, Korea, Japan and Heilongjiang Province of China. These accessions consist of elite varieties and landraces introduced into Heilongjiang Province decade ago. RESULTS After resequencing of the 450 accessions, 189,019 single nucleotide polymorphisms (SNPs) were used for association studies by two different models, a general linear model (GLM) and a mixed linear model (MLM), examining four traits: days to heading (DH), plant height (PH), panicle weight (PW) and tiller number (TI). Over 25 SNPs were found to be associated with each trait. Among them, 22 SNPs were selected to identify candidate genes, and 2, 8, 1 and 11 SNPs were found to be located in 3' UTR region, intron region, coding region and intergenic region, respectively. CONCLUSIONS All SNPs detected in this research may become candidates for further fine mapping and may be used in the molecular breeding of high-latitude rice.
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Affiliation(s)
- Guomin Zhang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Rongsheng Wang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Juntao Ma
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Hongru Gao
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Lingwei Deng
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Nanbo Wang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Yongli Wang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Jun Zhang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Kun Li
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Wei Zhang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Fengchen Mu
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Hui Liu
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China
| | - Ying Wang
- Biotechnology Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
- Northern Japonica Rice Molecular Breeding Joint Research Center, Chinese Academy of Sciences, Harbin, China.
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18
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Zhou C, Zhang Q, Chen Y, Huang J, Guo Q, Li Y, Wang W, Qiu Y, Guan W, Zhang J, Guo J, Shi S, Wu D, Zheng X, Nie L, Tan J, Huang C, Ma Y, Yang F, Fu X, Du B, Zhu L, Chen R, Li Z, Yuan L, He G. Balancing selection and wild gene pool contribute to resistance in global rice germplasm against planthopper. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2021; 63:1695-1711. [PMID: 34302720 DOI: 10.1111/jipb.13157] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
Interactions and co-evolution between plants and herbivorous insects are critically important in agriculture. Brown planthopper (BPH) is the most severe insect of rice, and the biotypes adapt to feed on different rice genotypes. Here, we present genomics analyses on 1,520 global rice germplasms for resistance to three BPH biotypes. Genome-wide association studies identified 3,502 single nucleotide polymorphisms (SNPs) and 59 loci associated with BPH resistance in rice. We cloned a previously unidentified gene Bph37 that confers resistance to BPH. The associated loci showed high nucleotide diversity. Genome-wide scans for trans-species polymorphisms revealed ancient balancing selection at the loci. The secondarily evolved insect biotypes II and III exhibited significantly higher virulence and overcame more rice varieties than the primary biotype I. In response, more SNPs and loci evolved in rice for resistance to biotypes II and III. Notably, three exceptional large regions with high SNP density and resistance-associated loci on chromosomes 4 and 6 appear distinct between the resistant and susceptible rice varieties. Surprisingly, these regions in resistant rice might have been retained from wild species Oryza nivara. Our findings expand the understanding of long-term interactions between rice and BPH and provide resistance genes and germplasm resources for breeding durable BPH-resistant rice varieties.
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Affiliation(s)
- Cong Zhou
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Qian Zhang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Yu Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jin Huang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Qin Guo
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Yi Li
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Wensheng Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Yongfu Qiu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, Agricultural College, Guangxi University, Nanning, 530004, China
| | - Wei Guan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jing Zhang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jianping Guo
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Shaojie Shi
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Di Wu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xiaohong Zheng
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Lingyun Nie
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jiaoyan Tan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Chaomei Huang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Yinhua Ma
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Fang Yang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xiqin Fu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Bo Du
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Lili Zhu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Rongzhi Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zhikang Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Longping Yuan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Guangcun He
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
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19
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Song J, Hu Y, Deng G, Dai G, Bao J. The origin of the A/G single nucleotide polymorphism of
starch synthase IIa
in rice and its relation to gelatinization temperature. Cereal Chem 2021. [DOI: 10.1002/cche.10463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jiling Song
- Department of Applied Bioscience College of Agriculture & Biotechnology Zhejiang University Hangzhou China
| | - Yaqi Hu
- Institute of Nuclear Agricultural Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China
| | - Guofu Deng
- Rice Research Institute Guangxi Academy of Agricultural Sciences Nanning China
| | - Gaoxing Dai
- Rice Research Institute Guangxi Academy of Agricultural Sciences Nanning China
| | - Jinsong Bao
- Institute of Nuclear Agricultural Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China
- Hainan Institute of Zhejiang University Sanya China
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20
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Groppi A, Liu S, Cornille A, Decroocq S, Bui QT, Tricon D, Cruaud C, Arribat S, Belser C, Marande W, Salse J, Huneau C, Rodde N, Rhalloussi W, Cauet S, Istace B, Denis E, Carrère S, Audergon JM, Roch G, Lambert P, Zhebentyayeva T, Liu WS, Bouchez O, Lopez-Roques C, Serre RF, Debuchy R, Tran J, Wincker P, Chen X, Pétriacq P, Barre A, Nikolski M, Aury JM, Abbott AG, Giraud T, Decroocq V. Population genomics of apricots unravels domestication history and adaptive events. Nat Commun 2021; 12:3956. [PMID: 34172741 PMCID: PMC8233370 DOI: 10.1038/s41467-021-24283-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/08/2021] [Indexed: 01/27/2023] Open
Abstract
Among crop fruit trees, the apricot (Prunus armeniaca) provides an excellent model to study divergence and adaptation processes. Here, we obtain nearly 600 Armeniaca apricot genomes and four high-quality assemblies anchored on genetic maps. Chinese and European apricots form two differentiated gene pools with high genetic diversity, resulting from independent domestication events from distinct wild Central Asian populations, and with subsequent gene flow. A relatively low proportion of the genome is affected by selection. Different genomic regions show footprints of selection in European and Chinese cultivated apricots, despite convergent phenotypic traits, with predicted functions in both groups involved in the perennial life cycle, fruit quality and disease resistance. Selection footprints appear more abundant in European apricots, with a hotspot on chromosome 4, while admixture is more pervasive in Chinese cultivated apricots. Our study provides clues to the biology of selected traits and targets for fruit tree research and breeding.
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Affiliation(s)
- Alexis Groppi
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
- Univ. Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, 33077, France
| | - Shuo Liu
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
- Liaoning Institute of Pomology, Tiedong Street, Xiongyue, Bayuquan District, Yingkou City, 115009, Liaoning, China
| | - Amandine Cornille
- Université Paris Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, Gif-sur-Yvette, 91190, France
| | - Stéphane Decroocq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Quynh Trang Bui
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - David Tricon
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Corinne Cruaud
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Sandrine Arribat
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Caroline Belser
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - William Marande
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Jérôme Salse
- INRAE/UBP UMR 1095 GDEC Genetique, Diversite et Ecophysiologie des Cereales, Laboratory PaleoEVO Paleogenomics & Evolution, 5 Chemin de Beaulieu, Clermont Ferrand, 63100, France
| | - Cécile Huneau
- INRAE/UBP UMR 1095 GDEC Genetique, Diversite et Ecophysiologie des Cereales, Laboratory PaleoEVO Paleogenomics & Evolution, 5 Chemin de Beaulieu, Clermont Ferrand, 63100, France
| | - Nathalie Rodde
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Wassim Rhalloussi
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Stéphane Cauet
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Benjamin Istace
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Erwan Denis
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Sébastien Carrère
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | - Jean-Marc Audergon
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Guillaume Roch
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
- CEP INNOVATION, 23 Rue Jean Baldassini, Lyon, 69364, Cedex 07, France
| | - Patrick Lambert
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Tetyana Zhebentyayeva
- The Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, 16802, PA, USA
| | - Wei-Sheng Liu
- Liaoning Institute of Pomology, Tiedong Street, Xiongyue, Bayuquan District, Yingkou City, 115009, Liaoning, China
| | - Olivier Bouchez
- INRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, 31326, France
| | | | - Rémy-Félix Serre
- INRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, 31326, France
| | - Robert Debuchy
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, 91198, France
| | - Joseph Tran
- EGFV, Bordeaux Sciences Agro, INRAE, Univ. Bordeaux, ISVV, Villenave d'Ornon, 33882, France
| | - Patrick Wincker
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Xilong Chen
- Université Paris Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, Gif-sur-Yvette, 91190, France
| | - Pierre Pétriacq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Aurélien Barre
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
| | - Macha Nikolski
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
- Univ. Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, 33077, France
| | - Jean-Marc Aury
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Albert Glenn Abbott
- Forest Health Research and Education Center, University of Kentucky, Lexington, KY, USA
| | - Tatiana Giraud
- Ecologie Systématique et Evolution, CNRS, Université Paris-Saclay AgroParisTech, Orsay, 91400, France.
| | - Véronique Decroocq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France.
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21
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Cui D, Tang C, Lu H, Li J, Ma X, A X, Han B, Yang Y, Dong C, Zhang F, Dai L, Han L. Genetic differentiation and restricted gene flow in rice landraces from Yunnan, China: effects of isolation-by-distance and isolation-by-environment. RICE (NEW YORK, N.Y.) 2021; 14:54. [PMID: 34131824 PMCID: PMC8206287 DOI: 10.1186/s12284-021-00497-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 05/25/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Understanding and identifying the factors responsible for genetic differentiation is of fundamental importance for efficient utilization and conservation of traditional rice landraces. In this study, we examined the spatial genetic differentiation of 594 individuals sampled from 28 locations in Yunnan Province, China, covering a wide geographic distribution and diverse growing conditions. All 594 accessions were studied using ten unlinked target genes and 48 microsatellite loci, and the representative 108 accessions from the whole collection were sampled for resequencing. RESULTS The genetic diversity of rice landraces was quite different geographically and exhibited a geographical decline from south to north in Yunnan, China. Population structure revealed that the rice landraces could be clearly differentiated into japonica and indica groups, respectively. In each group, the rice accessions could be further differentiated corresponded to their geographic locations, including three subgroups from northern, southern and middle locations. We found more obvious internal geographic structure in the japonica group than in the indica group. In the japonica group, we found that genetic and phenotypic differentiation were strongly related to geographical distance, suggesting a pattern of isolation by distance (IBD); this relationship remained highly significant when we controlled for environmental effects, where the likelihood of gene flow is inversely proportional to the distance between locations. Moreover, the gene flow also followed patterns of isolation by environment (IBE) whereby gene flow rates are higher in similar environments. We detected 314 and 216 regions had been differentially selected between Jap-N and Jap-S, Ind-N and Ind-S, respectively, and thus referred to as selection signatures for different geographic subgroups. We also observed a number of significant and interesting associations between loci and environmental factors, which implies adaptation to local environment. CONCLUSIONS Our findings highlight the influence of geographical isolation and environmental heterogeneity on the pattern of the gene flow, and demonstrate that both geographical isolation and environment drives adaptive divergence play dominant roles in the genetic differentiation of the rice landraces in Yunnan, China as a result of limited dispersal.
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Affiliation(s)
- Di Cui
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun Nandajie, 100081 Beijing, China
| | - Cuifeng Tang
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Hongfeng Lu
- Novogene Bioinformatics Institute, 100083 Beijing, China
| | - Jinmei Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun Nandajie, 100081 Beijing, China
| | - Xiaoding Ma
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun Nandajie, 100081 Beijing, China
| | - Xinxiang A
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Bing Han
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun Nandajie, 100081 Beijing, China
| | - Yayun Yang
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Chao Dong
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Feifei Zhang
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Luyuan Dai
- Institute of Biotech and Germplasm Resources, Yunnan Academy of Agricultural Sciences, No. 9 Xueyunlu, 650205 Kunming, Yunnan, China
| | - Longzhi Han
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, No. 12 Zhongguancun Nandajie, 100081 Beijing, China
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22
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Prusty MR, Bdolach E, Yamamoto E, Tiwari LD, Silberman R, Doron‐Faigenbaum A, Neyhart JL, Bonfil D, Kashkush K, Pillen K, Smith KP, Fridman E. Genetic loci mediating circadian clock output plasticity and crop productivity under barley domestication. THE NEW PHYTOLOGIST 2021; 230:1787-1801. [PMID: 33595846 PMCID: PMC8251863 DOI: 10.1111/nph.17284] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 02/06/2021] [Indexed: 05/30/2023]
Abstract
Circadian clock rhythms are shown to be intertwined with crop adaptation. To realize the adaptive value of changes in these rhythms under crop domestication and improvement, there is a need to compare the genetics of clock and yield traits. We compared circadian clock rhythmicity based on Chl leaf fluorescence and transcriptomics among wild ancestors, landraces, and breeding lines of barley under optimal and high temperatures. We conducted a genome scan to identify pleiotropic loci regulating the clock and field phenotypes. We also compared the allelic diversity in wild and cultivated barley to test for selective sweeps. We found significant loss of thermal plasticity in circadian rhythms under domestication. However, transcriptome analysis indicated that this loss was only for output genes and that temperature compensation in the core clock machinery was maintained. Drivers of the circadian clock (DOC) loci were identified via genome-wide association study. Notably, these loci also modified growth and reproductive outputs in the field. Diversity analysis indicated selective sweep in these pleiotropic DOC loci. These results indicate a selection against thermal clock plasticity under barley domestication and improvement and highlight the importance of identifying genes underlying for understanding the biochemical basis of crop adaptation to changing environments.
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Affiliation(s)
- Manas R. Prusty
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
| | - Eyal Bdolach
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
- Department of Life SciencesBen‐Gurion UniversityPO Box 653Beer‐ShevaIsrael
| | - Eiji Yamamoto
- Kazusa DNA Research InstitutePO Box 292‐0818ChibaJapan
| | - Lalit D. Tiwari
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
| | - Roi Silberman
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
| | - Adi Doron‐Faigenbaum
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
| | - Jeffrey L. Neyhart
- Department of Agronomy and Plant GeneticsUniversity of MinnesotaSt PaulMN55108USA
| | - David Bonfil
- Gilat Center, Vegetables and Field CropsAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
| | - Khalil Kashkush
- Department of Life SciencesBen‐Gurion UniversityPO Box 653Beer‐ShevaIsrael
| | - Klaus Pillen
- Institute of Agricultural and Nutritional SciencesMartin‐Luther University Halle‐WittenbergPO Box 06120Halle (Saale)Germany
| | - Kevin P. Smith
- Department of Agronomy and Plant GeneticsUniversity of MinnesotaSt PaulMN55108USA
| | - Eyal Fridman
- Institute of Plant SciencesAgricultural Research Organization (ARO)The Volcani CenterPO Box 6Bet Dagan5025001Israel
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23
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Blischak PD, Barker MS, Gutenkunst RN. Inferring the Demographic History of Inbred Species from Genome-Wide SNP Frequency Data. Mol Biol Evol 2021; 37:2124-2136. [PMID: 32068861 DOI: 10.1093/molbev/msaa042] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/04/2020] [Accepted: 02/13/2020] [Indexed: 01/04/2023] Open
Abstract
Demographic inference using the site frequency spectrum (SFS) is a common way to understand historical events affecting genetic variation. However, most methods for estimating demography from the SFS assume random mating within populations, precluding these types of analyses in inbred populations. To address this issue, we developed a model for the expected SFS that includes inbreeding by parameterizing individual genotypes using beta-binomial distributions. We then take the convolution of these genotype probabilities to calculate the expected frequency of biallelic variants in the population. Using simulations, we evaluated the model's ability to coestimate demography and inbreeding using one- and two-population models across a range of inbreeding levels. We also applied our method to two empirical examples, American pumas (Puma concolor) and domesticated cabbage (Brassica oleracea var. capitata), inferring models both with and without inbreeding to compare parameter estimates and model fit. Our simulations showed that we are able to accurately coestimate demographic parameters and inbreeding even for highly inbred populations (F = 0.9). In contrast, failing to include inbreeding generally resulted in inaccurate parameter estimates in simulated data and led to poor model fit in our empirical analyses. These results show that inbreeding can have a strong effect on demographic inference, a pattern that was especially noticeable for parameters involving changes in population size. Given the importance of these estimates for informing practices in conservation, agriculture, and elsewhere, our method provides an important advancement for accurately estimating the demographic histories of these species.
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Affiliation(s)
- Paul D Blischak
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ.,Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ
| | - Michael S Barker
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ
| | - Ryan N Gutenkunst
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ
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Torkamaneh D, Laroche J, Valliyodan B, O'Donoughue L, Cober E, Rajcan I, Vilela Abdelnoor R, Sreedasyam A, Schmutz J, Nguyen HT, Belzile F. Soybean (Glycine max) Haplotype Map (GmHapMap): a universal resource for soybean translational and functional genomics. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:324-334. [PMID: 32794321 DOI: 10.1101/534578] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 07/24/2020] [Accepted: 08/07/2020] [Indexed: 05/27/2023]
Abstract
Here, we describe a worldwide haplotype map for soybean (GmHapMap) constructed using whole-genome sequence data for 1007 Glycine max accessions and yielding 14.9 million variants as well as 4.3 M tag single-nucleotide polymorphisms (SNPs). When sampling random subsets of these accessions, the number of variants and tag SNPs plateaued beyond approximately 800 and 600 accessions, respectively. This suggests extensive coverage of diversity within the cultivated soybean. GmHapMap variants were imputed onto 21 618 previously genotyped accessions with up to 96% success for common alleles. A local association analysis was performed with the imputed data using markers located in a 1-Mb region known to contribute to seed oil content and enabled us to identify a candidate causal SNP residing in the NPC1 gene. We determined gene-centric haplotypes (407 867 GCHs) for the 55 589 genes and showed that such haplotypes can help to identify alleles that differ in the resulting phenotype. Finally, we predicted 18 031 putative loss-of-function (LOF) mutations in 10 662 genes and illustrated how such a resource can be used to explore gene function. The GmHapMap provides a unique worldwide resource for applied soybean genomics and breeding.
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Affiliation(s)
- Davoud Torkamaneh
- Département de Phytologie, Université Laval, Québec City, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
| | - Jérôme Laroche
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Babu Valliyodan
- National Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, USA
| | - Louise O'Donoughue
- CÉROM, Centre de recherche Sur Les Grains Inc., Saint-Mathieu de Beloeil, QC, Canada
| | - Elroy Cober
- Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Istvan Rajcan
- Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada
| | - Ricardo Vilela Abdelnoor
- Brazilian Corporation of Agricultural Research (Embrapa Soja), Warta County, PR, Brazil
- Londrina State University (UEL), Londrina, PR, Brazil
| | | | - Jeremy Schmutz
- Institute for Biotechnology, HudsonAlpha, Huntsville, AL, USA
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA
| | - Henry T Nguyen
- National Center for Soybean Biotechnology and Division of Plant Sciences, University of Missouri, Columbia, MO, USA
| | - François Belzile
- Département de Phytologie, Université Laval, Québec City, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
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25
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Wambugu PW, Ndjiondjop MN, Henry R. Genetics and Genomics of African Rice (Oryza glaberrima Steud) Domestication. RICE (NEW YORK, N.Y.) 2021; 14:6. [PMID: 33415579 PMCID: PMC7790969 DOI: 10.1186/s12284-020-00449-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
African rice (Oryza glaberrima Steud) is one of the two independently domesticated rice species, the other one being Asian rice (Oryza sativa L.). Despite major progress being made in understanding the evolutionary and domestication history of African rice, key outstanding issues remain controversial. There appears to be an underlying difficulty in identifying the domestication centre and number of times the crop has been domesticated. Advances in genomics have provided unprecedented opportunities for understanding the genetic architecture of domestication related traits. For most of the domestication traits, the underlying genes and mutations have been identified. Comparative analysis of domestication genes between Asian and African rice has revealed that the two species went through an independent but convergent evolution process. The genetic and developmental basis of some of the domestic traits are conserved not only between Asian and African rice but also with other domesticated crop species. Analysis of genome data and its interpretation is emerging as a major challenge facing studies of domestication in African rice as key studies continue giving contradictory findings and conclusions. Insights obtained on the domestication of this species are vital for guiding crop improvement efforts.
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Affiliation(s)
- Peterson W. Wambugu
- Kenya Agricultural and Livestock Research Organization, Genetic Resources Research Institute, P.O. Box 30148, Nairobi, 00100 Kenya
| | - Marie-Noelle Ndjiondjop
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551 Bouaké 01, Côte d’Ivoire
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072 Australia
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26
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Burgarella C, Berger A, Glémin S, David J, Terrier N, Deu M, Pot D. The Road to Sorghum Domestication: Evidence From Nucleotide Diversity and Gene Expression Patterns. FRONTIERS IN PLANT SCIENCE 2021; 12:666075. [PMID: 34527004 PMCID: PMC8435843 DOI: 10.3389/fpls.2021.666075] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/20/2021] [Indexed: 05/17/2023]
Abstract
Native African cereals (sorghum, millets) ensure food security to millions of low-income people from low fertility and drought-prone regions of Africa and Asia. In spite of their agronomic importance, the genetic bases of their phenotype and adaptations are still not well-understood. Here we focus on Sorghum bicolor, which is the fifth cereal worldwide for grain production and constitutes the staple food for around 500 million people. We leverage transcriptomic resources to address the adaptive consequences of the domestication process. Gene expression and nucleotide variability were analyzed in 11 domesticated and nine wild accessions. We documented a downregulation of expression and a reduction of diversity both in nucleotide polymorphism (30%) and gene expression levels (18%) in domesticated sorghum. These findings at the genome-wide level support the occurrence of a global reduction of diversity during the domestication process, although several genes also showed patterns consistent with the action of selection. Nine hundred and forty-nine genes were significantly differentially expressed between wild and domesticated gene pools. Their functional annotation points to metabolic pathways most likely contributing to the sorghum domestication syndrome, such as photosynthesis and auxin metabolism. Coexpression network analyzes revealed 21 clusters of genes sharing similar expression patterns. Four clusters (totaling 2,449 genes) were significantly enriched in differentially expressed genes between the wild and domesticated pools and two were also enriched in domestication and improvement genes previously identified in sorghum. These findings reinforce the evidence that the combined and intricated effects of the domestication and improvement processes do not only affect the behaviors of a few genes but led to a large rewiring of the transcriptome. Overall, these analyzes pave the way toward the identification of key domestication genes valuable for genetic resources characterization and breeding purposes.
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Affiliation(s)
- Concetta Burgarella
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- *Correspondence: Concetta Burgarella
| | - Angélique Berger
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Sylvain Glémin
- CNRS, Univ. Rennes, ECOBIO – UMR 6553, Rennes, France
- Department of Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jacques David
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Nancy Terrier
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Monique Deu
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - David Pot
- CIRAD, UMR AGAP Institut, Montpellier, France
- AGAP Institut, Univ F-34398 Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
- David Pot
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27
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He W, Chen C, Xiang K, Wang J, Zheng P, Tembrock LR, Jin D, Wu Z. The History and Diversity of Rice Domestication as Resolved From 1464 Complete Plastid Genomes. FRONTIERS IN PLANT SCIENCE 2021; 12:781793. [PMID: 34868182 PMCID: PMC8637288 DOI: 10.3389/fpls.2021.781793] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/27/2021] [Indexed: 05/19/2023]
Abstract
The plastid is an essential organelle in autotrophic plant cells, descending from free-living cyanobacteria and acquired by early eukaryotic cells through endosymbiosis roughly one billion years ago. It contained a streamlined genome (plastome) that is uniparentally inherited and non-recombinant, which makes it an ideal tool for resolving the origin and diversity of plant species and populations. In the present study, a large dataset was amassed by de novo assembling plastomes from 295 common wild rice (Oryza rufipogon Griff.) and 1135 Asian cultivated rice (Oryza sativa L.) accessions, supplemented with 34 plastomes from other Oryza species. From this dataset, the phylogenetic relationships and biogeographic history of O. rufipogon and O. sativa were reconstructed. Our results revealed two major maternal lineages across the two species, which further diverged into nine well supported genetic clusters. Among them, the Or-wj-I/II/III and Or-wi-I/II genetic clusters were shared with cultivated (percentage for each cluster ranging 54.9%∼99.3%) and wild rice accessions. Molecular dating, phylogeographic analyses and reconstruction of population historical dynamics indicated an earlier origin of the Or-wj-I/II genetic clusters from East Asian with at least two population expansions, and later origins of other genetic clusters from multiple regions with one or more population expansions. These results supported a single origin of japonica rice (mainly in Or-wj-I/II) and multiple origins of indica rice (in all five clusters) for the history of rice domestication. The massive plastomic data set presented here provides an important resource for understanding the history and evolution of rice domestication as well as a genomic resources for use in future breeding and conservation efforts.
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Affiliation(s)
- Wenchuang He
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Caijin Chen
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Kunli Xiang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jie Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- School of Landscape and Architecture, Zhejiang A&F University, Hangzhou, China
| | - Ping Zheng
- Department of Horticulture, Washington State University, Pullman, WA, United States
| | - Luke R. Tembrock
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, United States
- Luke R. Tembrock,
| | - Deming Jin
- MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- Deming Jin,
| | - Zhiqiang Wu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- *Correspondence: Zhiqiang Wu,
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Kou Y, Liao Y, Toivainen T, Lv Y, Tian X, Emerson JJ, Gaut BS, Zhou Y. Evolutionary Genomics of Structural Variation in Asian Rice (Oryza sativa) Domestication. Mol Biol Evol 2020; 37:3507-3524. [PMID: 32681796 PMCID: PMC7743901 DOI: 10.1093/molbev/msaa185] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Structural variants (SVs) are a largely unstudied feature of plant genome evolution, despite the fact that SVs contribute substantially to phenotypes. In this study, we discovered SVs across a population sample of 347 high-coverage, resequenced genomes of Asian rice (Oryza sativa) and its wild ancestor (O. rufipogon). In addition to this short-read data set, we also inferred SVs from whole-genome assemblies and long-read data. Comparisons among data sets revealed different features of genome variability. For example, genome alignment identified a large (∼4.3 Mb) inversion in indica rice varieties relative to japonica varieties, and long-read analyses suggest that ∼9% of genes from the outgroup (O. longistaminata) are hemizygous. We focused, however, on the resequencing sample to investigate the population genomics of SVs. Clustering analyses with SVs recapitulated the rice cultivar groups that were also inferred from SNPs. However, the site-frequency spectrum of each SV type-which included inversions, duplications, deletions, translocations, and mobile element insertions-was skewed toward lower frequency variants than synonymous SNPs, suggesting that SVs may be predominantly deleterious. Among transposable elements, SINE and mariner insertions were found at especially low frequency. We also used SVs to study domestication by contrasting between rice and O. rufipogon. Cultivated genomes contained ∼25% more derived SVs and mobile element insertions than O. rufipogon, indicating that SVs contribute to the cost of domestication in rice. Peaks of SV divergence were enriched for known domestication genes, but we also detected hundreds of genes gained and lost during domestication, some of which were enriched for traits of agronomic interest.
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Affiliation(s)
- Yixuan Kou
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
- Laboratory of Subtropical Biodiversity, Jiangxi Agricultural University, Nanchang, China
| | - Yi Liao
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
| | - Tuomas Toivainen
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Yuanda Lv
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
| | - Xinmin Tian
- Department of Biological Sciences, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - J J Emerson
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
| | - Brandon S Gaut
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
| | - Yongfeng Zhou
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA
- Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
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29
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Hour AL, Hsieh WH, Chang SH, Wu YP, Chin HS, Lin YR. Genetic Diversity of Landraces and Improved Varieties of Rice (Oryza sativa L.) in Taiwan. RICE (NEW YORK, N.Y.) 2020; 13:82. [PMID: 33315140 PMCID: PMC7736384 DOI: 10.1186/s12284-020-00445-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/06/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Rice, the most important crop in Asia, has been cultivated in Taiwan for more than 5000 years. The landraces preserved by indigenous peoples and brought by immigrants from China hundreds of years ago exhibit large variation in morphology, implying that they comprise rich genetic resources. Breeding goals according to the preferences of farmers, consumers and government policies also alter gene pools and genetic diversity of improved varieties. To unveil how genetic diversity is affected by natural, farmers', and breeders' selections is crucial for germplasm conservation and crop improvement. RESULTS A diversity panel of 148 rice accessions, including 47 cultivars and 59 landraces from Taiwan and 42 accessions from other countries, were genotyped by using 75 molecular markers that revealed an average of 12.7 alleles per locus with mean polymorphism information content of 0.72. These accessions could be grouped into five subpopulations corresponding to wild rice, japonica landraces, indica landraces, indica cultivars, and japonica cultivars. The genetic diversity within subpopulations was: wild rices > landraces > cultivars; and indica rice > japonica rice. Despite having less variation among cultivars, japonica landraces had greater genetic variation than indica landraces because the majority of Taiwanese japonica landraces preserved by indigenous peoples were classified as tropical japonica. Two major clusters of indica landraces were formed by phylogenetic analysis, in accordance with immigration from two origins. Genetic erosion had occurred in later japonica varieties due to a narrow selection of germplasm being incorporated into breeding programs for premium grain quality. Genetic differentiation between early and late cultivars was significant in japonica (FST = 0.3751) but not in indica (FST = 0.0045), indicating effects of different breeding goals on modern germplasm. Indigenous landraces with unique intermediate and admixed genetic backgrounds were untapped, representing valuable resources for rice breeding. CONCLUSIONS The genetic diversity of improved rice varieties has been substantially shaped by breeding goals, leading to differentiation between indica and japonica cultivars. Taiwanese landraces with different origins possess various and unique genetic backgrounds. Taiwanese rice germplasm provides diverse genetic variation for association mapping to unveil useful genes and is a precious genetic reservoir for rice improvement.
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Affiliation(s)
- Ai-Ling Hour
- Department of Life Science, Fu-Jen Catholic University, New Taipei City, 242062, Taiwan
| | - Wei-Hsun Hsieh
- Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan
| | - Su-Huang Chang
- Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan
| | - Yong-Pei Wu
- Department of Agronomy, Chiayi Agricultural Experiment Branch, Taiwan Agricultural Research Institute, Chiayi, 600015, Taiwan
| | - Han-Shiuan Chin
- Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan
| | - Yann-Rong Lin
- Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan.
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30
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Arnoux S, Fraïsse C, Sauvage C. Genomic inference of complex domestication histories in three Solanaceae species. J Evol Biol 2020; 34:270-283. [PMID: 33107098 DOI: 10.1111/jeb.13723] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 10/15/2020] [Indexed: 12/30/2022]
Abstract
Domestication is a human-induced selection process that imprints the genomes of domesticated populations over a short evolutionary time scale and that occurs in a given demographic context. Reconstructing historical gene flow, effective population size changes and their timing is therefore of fundamental interest to understand how plant demography and human selection jointly shape genomic divergence during domestication. Yet, the comparison under a single statistical framework of independent domestication histories across different crop species has been little evaluated so far. Thus, it is unclear whether domestication leads to convergent demographic changes that similarly affect crop genomes. To address this question, we used existing and new transcriptome data on three crop species of Solanaceae (eggplant, pepper and tomato), together with their close wild relatives. We fitted twelve demographic models of increasing complexity on the unfolded joint allele frequency spectrum for each wild/crop pair, and we found evidence for both shared and species-specific demographic processes between species. A convergent history of domestication with gene flow was inferred for all three species, along with evidence of strong reduction in the effective population size during the cultivation stage of tomato and pepper. The absence of any reduction in size of the crop in eggplant stands out from the classical view of the domestication process; as does the existence of a "protracted period" of management before cultivation. Our results also suggest divergent management strategies of modern cultivars among species as their current demography substantially differs. Finally, the timing of domestication is species-specific and supported by the few historical records available.
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Affiliation(s)
- Stéphanie Arnoux
- INRA UR1052 GAFL, Centre de Recherche INRA PACA, Avignon Cedex 9, France.,Vilmorin SA, Lédenon, France
| | | | - Christopher Sauvage
- INRA UR1052 GAFL, Centre de Recherche INRA PACA, Avignon Cedex 9, France.,Syngenta SAS France, Saint Sauveur, France
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31
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Muntané G, Farré X, Bosch E, Martorell L, Navarro A, Vilella E. The shared genetic architecture of schizophrenia, bipolar disorder and lifespan. Hum Genet 2020; 140:441-455. [PMID: 32772156 DOI: 10.1007/s00439-020-02213-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/27/2020] [Indexed: 12/11/2022]
Abstract
Psychiatric disorders such as Schizophrenia (SCZ) and Bipolar Disorder (BD) represent an evolutionary paradox, as they exhibit strong negative effects on fitness, such as decreased fecundity and early mortality, yet they persist at a worldwide prevalence of approximately 1%. Molecular mechanisms affecting lifespan, which may be widely common among complex diseases with fitness effects, can be studied by the integrated analysis of data from genome-wide association studies (GWAS) of human longevity together with any disease of interest. Here, we report the first of such studies, focusing on the genetic overlap-pleiotropy-between two psychiatric disorders with shortened lifespan, SCZ and BD, and human parental lifespan (PLS) as a surrogate of life expectancy. Our results are twofold: first, we demonstrate extensive polygenic overlap between SCZ and PLS and to a lesser extent between BD and PLS. Second, we identified novel loci shared between PLS and SCZ (n = 39), and BD (n = 8). Whereas most of the identified SCZ (66%) and BD (62%) pleiotropic risk alleles were associated with reduced lifespan, we also detected some antagonistic protective alleles associated to shorter lifespans. In fact, top-associated SNPs with SCZ seems to explain longevity variance explained (LVE) better than many other life-threatening diseases, including Type 2 diabetes and most cancers, probably due to a high overlap with smoking-related pathways. Overall, our study provides evidence of a genetic burden driven through premature mortality among people with SCZ, which can have profound implications for understanding, and potentially treating, the mortality gap associated with this psychiatric disorder.
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Affiliation(s)
- Gerard Muntané
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Hospital Universitari Institut Pere Mata, IISPV Universitat Rovira i Virgili, Reus, Spain. .,Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain.
| | - Xavier Farré
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Elena Bosch
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain
| | - Lourdes Martorell
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Hospital Universitari Institut Pere Mata, IISPV Universitat Rovira i Virgili, Reus, Spain
| | - Arcadi Navarro
- Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain.,Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats, ICREA, Barcelona, Spain.,Barcelonaβeta Brain Research Center, Fundació Pasqual Maragall, Barcelona, Spain
| | - Elisabet Vilella
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Hospital Universitari Institut Pere Mata, IISPV Universitat Rovira i Virgili, Reus, Spain
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32
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Chen C, Zheng Z, Bao Y, Zhang H, Richards CL, Li J, Chen Y, Zhao Y, Shen Z, Fu C. Comparisons of Natural and Cultivated Populations of Corydalis yanhusuo Indicate Divergent Patterns of Genetic and Epigenetic Variation. FRONTIERS IN PLANT SCIENCE 2020; 11:985. [PMID: 32719703 PMCID: PMC7347962 DOI: 10.3389/fpls.2020.00985] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 06/17/2020] [Indexed: 06/11/2023]
Abstract
Epigenetic variation may contribute to traits that are important in domestication, but how patterns of genetic and epigenetic variation differ between cultivated and wild plants remains poorly understood. In particular, we know little about how selection may shape epigenetic variation in natural and cultivated populations. In this study, we investigated 11 natural populations and 6 major cultivated populations using amplified fragment length polymorphism (AFLP) and methylation-sensitive AFLP (MS-AFLP or MSAP) markers to identify patterns of genetic and epigenetic diversity among Corydalis yanhusuo populations. We further explored correlations among genetic, epigenetic, alkaloidal, and climatic factors in natural and cultivated C. yanhusuo. We found support for a single origin for all cultivated populations, from a natural population which was differentiated from the other natural populations. The magnitude of F ST based on AFLP was significantly correlated with that for MSAP in pairwise comparisons in both natural and cultivated populations, suggesting a relationship between genetic and epigenetic variation in C. yanhusuo. This relationship was further supported by dbRDA (distance-based redundancy analyses) where some of the epigenetic variation could be explained by genetic variation in natural and cultivated populations. Genetic variation was slightly higher in natural than cultivated populations, and exceeded epigenetic variation in both types of populations. However, epigenetic differentiation exceeded that of genetic differentiation among cultivated populations, while the reverse was observed among natural populations. The differences between wild and cultivated plants may be partly due to processes inherent to cultivation and in particular the differences in mode of reproduction. The importance of epigenetic compared to genetic modifications is thought to vary depending on reproductive strategies, and C. yanhusuo usually reproduces sexually in natural environments, while the cultivated C. yanhusuo are propagated clonally. In addition, alkaloid content of C. yanhusuo varied across cultivated populations, and alkaloid content was significantly correlated to climatic variation, but also to genetic (6.89%) and even more so to epigenetic (14.09%) variation in cultivated populations. Our study demonstrates that epigenetic variation could be important in cultivation of C. yanhusuo and serve as a source of variation for response to environmental conditions.
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Affiliation(s)
- Chen Chen
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Zhi Zheng
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Yiqiong Bao
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Hanchao Zhang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Christina L. Richards
- Department of Integrative Biology, University of South Florida, Tampa, FL, United States
- Plant Evolutionary Ecology Group, University of Tübingen, Tübingen, Germany
| | - Jinghui Li
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, and College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Yahua Chen
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Yunpeng Zhao
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, and College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Zhenguo Shen
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Chengxin Fu
- Laboratory of Systematic and Evolutionary Botany and Biodiversity, and College of Life Sciences, Zhejiang University, Hangzhou, China
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33
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Campbell MT, Du Q, Liu K, Sharma S, Zhang C, Walia H. Characterization of the transcriptional divergence between the subspecies of cultivated rice (Oryza sativa). BMC Genomics 2020; 21:394. [PMID: 32513103 PMCID: PMC7278148 DOI: 10.1186/s12864-020-06786-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 05/19/2020] [Indexed: 01/24/2023] Open
Abstract
Background Cultivated rice consists of two subspecies, Indica and Japonica, that exhibit well-characterized differences at the morphological and genetic levels. However, the differences between these subspecies at the transcriptome level remains largely unexamined. Here, we provide a comprehensive characterization of transcriptome divergence and cis-regulatory variation within rice using transcriptome data from 91 accessions from a rice diversity panel (RDP1). Results The transcriptomes of the two subspecies of rice are highly divergent. Japonica have significantly lower expression and genetic diversity relative to Indica, which is likely a consequence of a population bottleneck during Japonica domestication. We leveraged high-density genotypic data and transcript levels to identify cis-regulatory variants that may explain the genetic divergence between the subspecies. We identified significantly more eQTL that were specific to the Indica subspecies compared to Japonica, suggesting that the observed differences in expression and genetic variability also extends to cis-regulatory variation. Conclusions Using RNA sequencing data for 91diverse rice accessions and high-density genotypic data, we show that the two species are highly divergent with respect to gene expression levels, as well as the genetic regulation of expression. The data generated by this study provide, to date, the largest collection of genome-wide transcriptional levels for rice, and provides a community resource to accelerate functional genomic studies in rice.
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Affiliation(s)
- Malachy T Campbell
- Department of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA. .,Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, 175 West Campus Drive, Blacksburg, 24060, VA, USA.
| | - Qian Du
- School of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA
| | - Kan Liu
- School of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA
| | - Sandeep Sharma
- Department of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA.,Marine Biotechnology and Ecology Division, CSIR-CSMCRI, Bhavnagar, Gujarat, India
| | - Chi Zhang
- School of Biological Sciences, University of Nebraska Lincoln, 1901 Vine St., Lincoln, 68503, NE, USA
| | - Harkamal Walia
- Department of Agronomy and Horticulture, University of Nebraska Lincoln, 1825 N 38th St., Lincoln, 68583, NE, USA.
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34
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Wang Q, Tang J, Han B, Huang X. Advances in genome-wide association studies of complex traits in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1415-1425. [PMID: 31720701 DOI: 10.1007/s00122-019-03473-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 11/05/2019] [Indexed: 05/27/2023]
Abstract
Genome-wide association studies (GWAS), genetic surveys of the whole genome to detect variants associated with a trait in natural populations, are a powerful approach for dissecting complex traits. This genetic mapping approach has been applied in rice over the last 10 years. During the last decade, GWAS was used to identify the loci underlying tens of rice traits, and several important genes were detected in GWAS and further confirmed in follow-up functional experiments. In this review, we present an overview of the whole process in a typical GWAS, including population design, genotyping, phenotyping and analysis methods. Recent advances in rice GWAS are also provided, including several examples of the functional characterization of candidate genes. The possible breakthroughs of rice GWAS in the next decade are discussed with regard to their application in breeding, the consideration of epistatic interactions and in-depth functional annotations of DNA elements and genetic variants throughout the rice genome.
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Affiliation(s)
- Qin Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Jiali Tang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Bin Han
- National Center for Gene Research, CAS Center for Excellence of Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China.
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35
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Wang Y, Zhai L, Chen K, Shen C, Liang Y, Wang C, Zhao X, Wang S, Xu J. Natural Sequence Variations and Combinations of GNP1 and NAL1 Determine the Grain Number per Panicle in Rice. RICE (NEW YORK, N.Y.) 2020; 13:14. [PMID: 32112146 PMCID: PMC7048901 DOI: 10.1186/s12284-020-00374-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 02/18/2020] [Indexed: 05/22/2023]
Abstract
BACKGROUND The grain number per panicle (GNP), which is one of three grain yield components, is an important trait for the genetic improvement of rice. Although the NAL1 and GNP1 genes regulating the rice GNP and grain yield have been cloned, their allelic diversity, functional differences in rice germplasms, and effects of their combination on GNP and grain yield remain unclear. RESULTS Based on DNA sequences of these two genes in 198 cultivated rice (Oryza sativa) and 8-10 wild rice (Oryza rufipogon) germplasms, 16 and 14 haplotypes were identified for NAL1 and GNP1, respectively. The NAL1 gene had the strongest effects on GNP in indica (xian) and japonica (geng) subpopulations. In contrast, GNP1 had no significant effects in the geng subpopulation and was rare in the xian background, in which the superior GNP1 allele (GNP1-6) was detected in only 4.0% of the 198 germplasms. Compared with the transgenic lines with GNP1 or NAL1, the transgenic lines with both genes had a higher GNP (15.5%-25.4% and 11.6%-15.9% higher, respectively) and grain yield (5.7%-9.0% and 8.3%-12.3% higher, respectively) across 3 years. The two genes combined in the introgression lines in Lemont background resulted in especially favorable effects on the GNP. CONCLUSIONS Our results indicated that the GNP1 and NAL1 exhibited obvious differentiation and their combinations can significantly increase the grain yield in geng rice cultivars. These observations provide insights into the molecular basis of the GNP and may be useful for rice breeding of high yield potential by pyramiding GNP1 and NAL1.
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Affiliation(s)
- Yun Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Laiyuan Zhai
- Rice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Kai Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, Guangdong, China
| | - Congcong Shen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, Guangdong, China
| | - Yuntao Liang
- Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, Guangxi, China
| | - Chunchao Wang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiuqin Zhao
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shu Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Jianlong Xu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, Guangdong, China.
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36
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Scossa F, Fernie AR. The evolution of metabolism: How to test evolutionary hypotheses at the genomic level. Comput Struct Biotechnol J 2020; 18:482-500. [PMID: 32180906 PMCID: PMC7063335 DOI: 10.1016/j.csbj.2020.02.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 02/12/2020] [Accepted: 02/13/2020] [Indexed: 01/21/2023] Open
Abstract
The origin of primordial metabolism and its expansion to form the metabolic networks extant today represent excellent systems to study the impact of natural selection and the potential adaptive role of novel compounds. Here we present the current hypotheses made on the origin of life and ancestral metabolism and present the theories and mechanisms by which the large chemical diversity of plants might have emerged along evolution. In particular, we provide a survey of statistical methods that can be used to detect signatures of selection at the gene and population level, and discuss potential and limits of these methods for investigating patterns of molecular adaptation in plant metabolism.
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Affiliation(s)
- Federico Scossa
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), Via Ardeatina 546, 00178 Rome, Italy
| | - Alisdair R. Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria
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37
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The strength and pattern of natural selection on gene expression in rice. Nature 2020; 578:572-576. [PMID: 32051590 DOI: 10.1038/s41586-020-1997-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 12/13/2019] [Indexed: 01/12/2023]
Abstract
Levels of gene expression underpin organismal phenotypes1,2, but the nature of selection that acts on gene expression and its role in adaptive evolution remain unknown1,2. Here we assayed gene expression in rice (Oryza sativa)3, and used phenotypic selection analysis to estimate the type and strength of selection on the levels of more than 15,000 transcripts4,5. Variation in most transcripts appears (nearly) neutral or under very weak stabilizing selection in wet paddy conditions (with median standardized selection differentials near zero), but selection is stronger under drought conditions. Overall, more transcripts are conditionally neutral (2.83%) than are antagonistically pleiotropic6 (0.04%), and transcripts that display lower levels of expression and stochastic noise7-9 and higher levels of plasticity9 are under stronger selection. Selection strength was further weakly negatively associated with levels of cis-regulation and network connectivity9. Our multivariate analysis suggests that selection acts on the expression of photosynthesis genes4,5, but that the efficacy of selection is genetically constrained under drought conditions10. Drought selected for earlier flowering11,12 and a higher expression of OsMADS18 (Os07g0605200), which encodes a MADS-box transcription factor and is a known regulator of early flowering13-marking this gene as a drought-escape gene11,12. The ability to estimate selection strengths provides insights into how selection can shape molecular traits at the core of gene action.
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38
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Joly-Lopez Z, Platts AE, Gulko B, Choi JY, Groen SC, Zhong X, Siepel A, Purugganan MD. An inferred fitness consequence map of the rice genome. NATURE PLANTS 2020; 6:119-130. [PMID: 32042156 PMCID: PMC7446671 DOI: 10.1038/s41477-019-0589-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 12/20/2019] [Indexed: 05/04/2023]
Abstract
The extent to which sequence variation impacts plant fitness is poorly understood. High-resolution maps detailing the constraint acting on the genome, especially in regulatory sites, would be beneficial as functional annotation of noncoding sequences remains sparse. Here, we present a fitness consequence (fitCons) map for rice (Oryza sativa). We inferred fitCons scores (ρ) for 246 inferred genome classes derived from nine functional genomic and epigenomic datasets, including chromatin accessibility, messenger RNA/small RNA transcription, DNA methylation, histone modifications and engaged RNA polymerase activity. These were integrated with genome-wide polymorphism and divergence data from 1,477 rice accessions and 11 reference genome sequences in the Oryzeae. We found ρ to be multimodal, with ~9% of the rice genome falling into classes where more than half of the bases would probably have a fitness consequence if mutated. Around 2% of the rice genome showed evidence of weak negative selection, frequently at candidate regulatory sites, including a novel set of 1,000 potentially active enhancer elements. This fitCons map provides perspective on the evolutionary forces associated with genome diversity, aids in genome annotation and can guide crop breeding programs.
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Affiliation(s)
- Zoé Joly-Lopez
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Adrian E Platts
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Brad Gulko
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jae Young Choi
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Simon C Groen
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Xuehua Zhong
- Laboratory of Genetics and Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, WI, USA
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Michael D Purugganan
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA.
- Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, NYU Abu Dhabi, Abu Dhabi, United Arab Emirates.
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Page A, Gibson J, Meyer RS, Chapman MA. Eggplant Domestication: Pervasive Gene Flow, Feralization, and Transcriptomic Divergence. Mol Biol Evol 2020; 36:1359-1372. [PMID: 31039581 DOI: 10.1093/molbev/msz062] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
In the context of food security, examining the genomics of domestication will help identify genes underlying adaptive and economically important phenotypes, for example, larger fruit, improved taste, and loss of agronomically inferior phenotypes. Examination of genome-scale single nucleotide polymorphisms demonstrates the relationships between wild ancestors of eggplant (Solanum melongena L.), confirming that Solanum insanum L. is the wild progenitor. This species is split roughly into an Eastern (Malaysian, Thai, and Vietnamese) and Western (Indian, Madagascan, and Sri Lankan) group, with domesticates derived from the former. Additional "wild" accessions from India appear to be feral escapes, derived multiple times from domesticated varieties through admixture. Accessions with small egg-shaped fruit are generally found intermixed with East Asian Solanum insanum confirming they are primitive relative to the large-fruited domesticates. Comparative transcriptomics was used to track the loci under selection. Sequence analysis revealed a genetic bottleneck reducing variation by almost 50% in the primitive accessions relative to the wild species and a further 10% in the landraces. We also show evidence for selection on genes with a role in response to wounding and apoptosis. Genes showing a significant difference in expression between wild and primitive or between primitive and landrace genepools were mostly (>75%) downregulated in the derived populations and enriched for gene ontologies related to defense, flowering, signaling, and response to biotic and abiotic stimuli. This work reveals genomic changes involved in crop domestication and improvement, and the population genetics work explains why defining the eggplant domestication trajectory has been so challenging.
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Affiliation(s)
- Anna Page
- Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Jane Gibson
- Biological Sciences, University of Southampton, Southampton, United Kingdom
| | - Rachel S Meyer
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Southampton, United Kingdom
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Kioukis A, Michalopoulou VA, Briers L, Pirintsos S, Studholme DJ, Pavlidis P, Sarris PF. Intraspecific diversification of the crop wild relative Brassica cretica Lam. using demographic model selection. BMC Genomics 2020; 21:48. [PMID: 31937246 PMCID: PMC6961386 DOI: 10.1186/s12864-019-6439-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/29/2019] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Crop wild relatives (CWRs) contain genetic diversity, representing an invaluable resource for crop improvement. Many of their traits have the potential to help crops to adapt to changing conditions that they experience due to climate change. An impressive global effort for the conservation of various CWR will facilitate their use in crop breeding for food security. The genus Brassica is listed in Annex I of the International Treaty on Plant Genetic Resources for Food and Agriculture. Brassica oleracea (or wild cabbage), a species native to southern and western Europe, has become established as an important human food crop plant because of its large reserves stored over the winter in its leaves. Brassica cretica Lam. (Bc) is a CWR in the brassica group and B. cretica subsp. nivea (Bcn) has been suggested as a separate subspecies. The species Bc has been proposed as a potential gene donor to brassica crops, including broccoli, cabbage, cauliflower, oilseed rape, etc. RESULTS: We sequenced genomes of four Bc individuals, including two Bcn and two Bc. Demographic analysis based on our whole-genome sequence data suggests that populations of Bc are not isolated. Classification of the Bc into distinct subspecies is not supported by the data. Using only the non-coding part of the data (thus, the parts of the genome that has evolved nearly neutrally), we find the gene flow between different Bc population is recent and its genomic diversity is high. CONCLUSIONS Despite predictions on the disruptive effect of gene flow in adaptation, when selection is not strong enough to prevent the loss of locally adapted alleles, studies show that gene flow can promote adaptation, that local adaptations can be maintained despite high gene flow, and that genetic architecture plays a fundamental role in the origin and maintenance of local adaptation with gene flow. Thus, in the genomic era it is important to link the selected demographic models with the underlying processes of genomic variation because, if this variation is largely selectively neutral, we cannot assume that a diverse population of crop wild relatives will necessarily exhibit the wide-ranging adaptive diversity required for further crop improvement.
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Affiliation(s)
- Antonios Kioukis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, 70013, Crete, Greece
| | - Vassiliki A Michalopoulou
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, 70013, Crete, Greece
| | - Laura Briers
- Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Stergios Pirintsos
- Department of Biology, University of Crete, 714 09, Heraklion, Greece
- Botanical Garden, University of Crete, Gallos Campus, 741 00, Rethymnon, Greece
| | - David J Studholme
- Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
| | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, Heraklion, 70013, Crete, Greece
| | - Panagiotis F Sarris
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Heraklion, 70013, Crete, Greece.
- Biosciences, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
- Department of Biology, University of Crete, 714 09, Heraklion, Greece.
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Koropoulis A, Alachiotis N, Pavlidis P. Detecting Positive Selection in Populations Using Genetic Data. Methods Mol Biol 2020; 2090:87-123. [PMID: 31975165 DOI: 10.1007/978-1-0716-0199-0_5] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
High-throughput genomic sequencing allows to disentangle the evolutionary forces acting in populations. Among evolutionary forces, positive selection has received a lot of attention because it is related to the adaptation of populations in their environments, both biotic and abiotic. Positive selection, also known as Darwinian selection, occurs when an allele is favored by natural selection. The frequency of the favored allele increases in the population and, due to genetic hitchhiking, neighboring linked variation diminishes, creating so-called selective sweeps. Such a process leaves traces in genomes that can be detected in a future time point. Detecting traces of positive selection in genomes is achieved by searching for signatures introduced by selective sweeps, such as regions of reduced variation, a specific shift of the site frequency spectrum, and particular linkage disequilibrium (LD) patterns in the region. A variety of approaches can be used for detecting selective sweeps, ranging from simple implementations that compute summary statistics to more advanced statistical approaches, e.g., Bayesian approaches, maximum-likelihood-based methods, and machine learning methods. In this chapter, we discuss selective sweep detection methodologies on the basis of their capacity to analyze whole genomes or just subgenomic regions, and on the specific polymorphism patterns they exploit as selective sweep signatures. We also summarize the results of comparisons among five open-source software releases (SweeD, SweepFinder, SweepFinder2, OmegaPlus, and RAiSD) regarding sensitivity, specificity, and execution times. Furthermore, we test and discuss machine learning methods and present a thorough performance analysis. In equilibrium neutral models or mild bottlenecks, most methods are able to detect selective sweeps accurately. Methods and tools that rely on linkage disequilibrium (LD) rather than single SNPs exhibit higher true positive rates than the site frequency spectrum (SFS)-based methods under the model of a single sweep or recurrent hitchhiking. However, their false positive rate is elevated when a misspecified demographic model is used to build the distribution of the statistic under the null hypothesis. Both LD and SFS-based approaches suffer from decreased accuracy on localizing the true target of selection in bottleneck scenarios. Furthermore, we present an extensive analysis of the effects of gene flow on selective sweep detection, a problem that has been understudied in selective sweep literature.
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Affiliation(s)
- Angelos Koropoulis
- Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
- Computer Science Department, University of Crete, Crete, Heraklion, Greece
| | - Nikolaos Alachiotis
- Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece
| | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology Hellas, Heraklion, Greece.
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Badro H, Furtado A, Henry R. Relationships between Iraqi Rice Varieties at the Nuclear and Plastid Genome Levels. PLANTS 2019; 8:plants8110481. [PMID: 31703353 PMCID: PMC6918272 DOI: 10.3390/plants8110481] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/11/2019] [Accepted: 11/05/2019] [Indexed: 01/28/2023]
Abstract
Due to the importance of the rice crop in Iraq, this study was conducted to determine the origin of the major varieties and understand the evolutionary relationships between Iraqi rice varieties and other Asian rice accessions that could be significant in the improvement of this crop. Five varieties of Oryza sativa were obtained from Baghdad/Iraq, and the whole genomic DNA was sequenced, among these varieties, Amber33, Furat, Yasmin, Buhooth1 and Amber al-Baraka. Raw sequence reads of 33 domesticated Asian rice accessions were obtained from the Sequence Read Archive (SRA-NCBI). The sequence of the whole chloroplast-genome was assembled while only the sequence of 916 concatenated nuclear-genes was assembled. The phylogenetic analysis of both chloroplast and nuclear genomes showed that two main clusters, Indica and Japonica, and further five sub-clusters based upon their ecotype, indica, aus, tropical-japonica, temperate-japonica and basmati were created; moreover, Amber33, Furat, Yasmin and Buhooth1 belonged to the basmati, indica and japonica ecotypes, respectively, where Amber33 was placed in the basmati group as a sister of cultivars from Pakistan and India. This confirms the traditional story that Amber was transferred by a group of people who had migrated from India and settled in southern Iraq a long time ago.
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Abstract
Rice is a staple crop for half the world's population, which is expected to grow by 3 billion over the next 30 years. It is also a key model for studying the genomics of agroecosystems. This dual role places rice at the centre of an enormous challenge facing agriculture: how to leverage genomics to produce enough food to feed an expanding global population. Scientists worldwide are investigating the genetic variation among domesticated rice species and their wild relatives with the aim of identifying loci that can be exploited to breed a new generation of sustainable crops known as Green Super Rice.
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Faye JM, Maina F, Hu Z, Fonceka D, Cisse N, Morris GP. Genomic signatures of adaptation to Sahelian and Soudanian climates in sorghum landraces of Senegal. Ecol Evol 2019; 9:6038-6051. [PMID: 31161017 PMCID: PMC6540697 DOI: 10.1002/ece3.5187] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/22/2019] [Accepted: 03/29/2019] [Indexed: 02/01/2023] Open
Abstract
Uncovering the genomic basis of climate adaptation in traditional crop varieties can provide insight into plant evolution and facilitate breeding for climate resilience. In the African cereal sorghum (Sorghum bicolor L. [Moench]), the genomic basis of adaptation to the semiarid Sahelian zone versus the subhumid Soudanian zone is largely unknown. To address this issue, we characterized a large panel of 421 georeferenced sorghum landrace accessions from Senegal and adjacent locations at 213,916 single-nucleotide polymorphisms (SNPs) using genotyping-by-sequencing. Seven subpopulations distributed along the north-south precipitation gradient were identified. Redundancy analysis found that climate variables explained up to 8% of SNP variation, with climate collinear with space explaining most of this variation (6%). Genome scans of nucleotide diversity suggest positive selection on chromosome 2, 4, 5, 7, and 10 in durra sorghums, with successive adaptation during diffusion along the Sahel. Putative selective sweeps were identified, several of which colocalize with stay-green drought tolerance (Stg) loci, and a priori candidate genes for photoperiodic flowering and inflorescence morphology. Genome-wide association studies of photoperiod sensitivity and panicle compactness identified 35 and 13 associations that colocalize with a priori candidate genes, respectively. Climate-associated SNPs colocalize with Stg3a, Stg1, Stg2, and Ma6 and have allelic distribution consistent with adaptation across Sahelian and Soudanian zones. Taken together, the findings suggest an oligogenic basis of adaptation to Sahelian versus Soudanian climates, underpinned by variation in conserved floral regulatory pathways and other systems that are less understood in cereals.
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Affiliation(s)
- Jacques M. Faye
- Department of AgronomyKansas State UniversityManhattanKansas
| | - Fanna Maina
- Department of AgronomyKansas State UniversityManhattanKansas
- Institut National de la Recherche Agronomique du NigerNiameyNiger
| | - Zhenbin Hu
- Department of AgronomyKansas State UniversityManhattanKansas
| | - Daniel Fonceka
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la SécheresseThièsSénégal
- CIRADUMR AGAPMontpellierFrance
| | - Ndiaga Cisse
- Centre d'Étude Régional pour l'Amélioration de l'Adaptation à la SécheresseThièsSénégal
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Hufford MB, Berny Mier Y Teran JC, Gepts P. Crop Biodiversity: An Unfinished Magnum Opus of Nature. ANNUAL REVIEW OF PLANT BIOLOGY 2019; 70:727-751. [PMID: 31035827 DOI: 10.1146/annurev-arplant-042817-040240] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Crop biodiversity is one of the major inventions of humanity through the process of domestication. It is also an essential resource for crop improvement to adapt agriculture to ever-changing conditions like global climate change and consumer preferences. Domestication and the subsequent evolution under cultivation have profoundly shaped the genetic architecture of this biodiversity. In this review, we highlight recent advances in our understanding of crop biodiversity. Topics include the reduction of genetic diversity during domestication and counteracting factors, a discussion of the relationship between parallel phenotypic and genotypic evolution, the role of plasticity in genotype × environment interactions, and the important role subsistence farmers play in actively maintaining crop biodiversity and in participatory breeding. Linking genotype and phenotype remains the holy grail of crop biodiversity studies.
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Affiliation(s)
- Matthew B Hufford
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa 50011-1020, USA;
| | | | - Paul Gepts
- Department of Plant Sciences, University of California, Davis, California 95616-8780, USA; ,
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46
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Chen E, Huang X, Tian Z, Wing RA, Han B. The Genomics of Oryza Species Provides Insights into Rice Domestication and Heterosis. ANNUAL REVIEW OF PLANT BIOLOGY 2019; 70:639-665. [PMID: 31035826 DOI: 10.1146/annurev-arplant-050718-100320] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Here, we review recent progress in genetic and genomic studies of the diversity of Oryza species. In recent years, unlocking the genetic diversity of Oryza species has provided insights into the genomics of rice domestication, heterosis, and complex traits. Genome sequencing and analysis of numerous wild rice (Oryza rufipogon) and Asian cultivated rice (Oryza sativa) accessions have enabled the identification of genome-wide signatures of rice domestication and the unlocking of the origin of Asian cultivated rice. Moreover, similar studies on genome variations of African rice (Oryza glaberrima) cultivars and their closely related wild progenitor Oryza barthii accessions have provided strong evidence to support a theory of independent domestication in African rice. Integrated genomic approaches have efficiently investigated many heterotic loci in hybrid rice underlying yield heterosis advantages and revealed the genomic architecture of rice heterosis. We conclude that in-depth unlocking of genetic variations among Oryza species will further enhance rice breeding.
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Affiliation(s)
- Erwang Chen
- National Center of Plant Gene Research; Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences; and CAS Center of Excellence for Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200233, China;
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China
| | - Xuehui Huang
- College of Life Sciences, Shanghai Normal University, Shanghai 200234, China;
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, Arizona 85721, USA;
| | - Bin Han
- National Center of Plant Gene Research; Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences; and CAS Center of Excellence for Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200233, China;
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Li Y, Cao K, Zhu G, Fang W, Chen C, Wang X, Zhao P, Guo J, Ding T, Guan L, Zhang Q, Guo W, Fei Z, Wang L. Genomic analyses of an extensive collection of wild and cultivated accessions provide new insights into peach breeding history. Genome Biol 2019; 20:36. [PMID: 30791928 PMCID: PMC6383288 DOI: 10.1186/s13059-019-1648-9] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 02/05/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Human selection has a long history of transforming crop genomes. Peach (Prunus persica) has undergone more than 5000 years of domestication that led to remarkable changes in a series of agronomically important traits, but genetic bases underlying these changes and the effects of artificial selection on genomic diversity are not well understood. RESULTS Here, we report a comprehensive analysis of peach evolution based on genome sequences of 480 wild and cultivated accessions. By focusing on a set of quantitative trait loci (QTLs), we provide evidence supporting that distinct phases of domestication and improvement have led to an increase in fruit size and taste and extended its geographic distribution. Fruit size was predominantly selected during domestication, and selection for large fruits has led to the loss of genetic diversity in several fruit weight QTLs. In contrast, fruit taste-related QTLs were successively selected for by domestication and improvement, with more QTLs selected for during improvement. Genome-wide association studies of 11 agronomic traits suggest a set of candidate genes controlling these traits and potential markers for molecular breeding. Candidate loci for genes that contributed to the adaption to low-chill regions were identified. Furthermore, the genomic bases of divergent selection for fruit texture and local breeding for different flavors between Asian and European/North American cultivars were also determined. CONCLUSIONS Our results elucidate the genetic basis of peach evolution and provide new resources for future genomics-guided peach breeding.
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Affiliation(s)
- Yong Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Ke Cao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Gengrui Zhu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Weichao Fang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Changwen Chen
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Xinwei Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Pei Zhao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Jian Guo
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Tiyu Ding
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Liping Guan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Qian Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
| | - Wenwu Guo
- Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Zhangjun Fei
- Boyce Thompson Institute for Plant Research, US Department of Agriculture (USDA) Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, USA
| | - Lirong Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China
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Choi JY, Purugganan MD. Evolutionary Epigenomics of Retrotransposon-Mediated Methylation Spreading in Rice. Mol Biol Evol 2019; 35:365-382. [PMID: 29126199 PMCID: PMC5850837 DOI: 10.1093/molbev/msx284] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Plant genomes contain numerous transposable elements (TEs), and many hypotheses on the evolutionary drivers that restrict TE activity have been postulated. Few models, however, have focused on the evolutionary epigenomic interaction between the plant host and its TE. The host genome recruits epigenetic factors, such as methylation, to silence TEs but methylation can spread beyond the TE sequence and influence the expression of nearby host genes. In this study, we investigated this epigenetic trade-off between TE and proximal host gene silencing by studying the epigenomic regulation of repressing long terminal repeat (LTR) retrotransposons (RTs) in Oryza sativa. Results showed significant evidence of methylation spreading originating from the LTR-RT sequences, and the extent of spreading was dependent on five factors: 1) LTR-RT family, 2) time since the LTR-RT insertion, 3) recombination rate of the LTR-RT region, 4) level of LTR-RT sequence methylation, and 5) chromosomal location. Methylation spreading had negative effects by reducing host gene expression, but only on host genes with LTR-RT inserted in its introns. Our results also suggested high levels of LTR-RT methylation might have a role in suppressing TE-mediated deleterious ectopic recombination. In the end, despite the methylation spreading, no strong epigenetic trade-off was detected and majority of LTR-RT may have only minor epigenetic effects on nearby host genes.
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Affiliation(s)
- Jae Young Choi
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY
| | - Michael D Purugganan
- Department of Biology, Center for Genomics and Systems Biology, New York University, New York, NY.,Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates
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Amei A, Zhou S. Inferring the distribution of selective effects from a time inhomogeneous model. PLoS One 2019; 14:e0194709. [PMID: 30657757 PMCID: PMC6338356 DOI: 10.1371/journal.pone.0194709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 03/08/2018] [Indexed: 11/18/2022] Open
Abstract
We have developed a Poisson random field model for estimating the distribution of selective effects of newly arisen nonsynonymous mutations that could be observed as polymorphism or divergence in samples of two related species under the assumption that the two species populations are not at mutation-selection-drift equilibrium. The model is applied to 91Drosophila genes by comparing levels of polymorphism in an African population of D. melanogaster with divergence to a reference strain of D. simulans. Based on the difference of gene expression level between testes and ovaries, the 91 genes were classified as 33 male-biased, 28 female-biased, and 30 sex-unbiased genes. Under a Bayesian framework, Markov chain Monte Carlo simulations are implemented to the model in which the distribution of selective effects is assumed to be Gaussian with a mean that may differ from one gene to the other to sample key parameters. Based on our estimates, the majority of newly-arisen nonsynonymous mutations that could contribute to polymorphism or divergence in Drosophila species are mildly deleterious with a mean scaled selection coefficient of -2.81, while almost 86% of the fixed differences between species are driven by positive selection. There are only 16.6% of the nonsynonymous mutations observed in sex-unbiased genes that are under positive selection in comparison to 30% of male-biased and 46% of female-biased genes that are beneficial. We also estimated that D. melanogaster and D. simulans may have diverged 1.72 million years ago.
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Affiliation(s)
- Amei Amei
- Department of Mathematical Sciences, University of Nevada, Las Vegas, Nevada, United States of America
- * E-mail:
| | - Shilei Zhou
- 54 Crescent Ave, Apt G, Dorchester, Massachusetts, United States of America
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50
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Liu W, Chen L, Zhang S, Hu F, Wang Z, Lyu J, Wang B, Xiang H, Zhao R, Tian Z, Ge S, Wang W. Decrease of gene expression diversity during domestication of animals and plants. BMC Evol Biol 2019; 19:19. [PMID: 30634914 PMCID: PMC6330456 DOI: 10.1186/s12862-018-1340-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 12/18/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The genetic mechanisms underlying the domestication of animals and plants have been of great interest to biologists since Darwin. To date, little is known about the global pattern of gene expression changes during domestication. RESULTS We generated and collected transcriptome data for seven pairs of domestic animals and plants including dog, silkworm, chicken, rice, cotton, soybean and maize and their wild progenitors and compared the expression profiles between the domestic and wild species. Intriguingly, although the number of expressed genes varied little, the domestic species generally exhibited lower gene expression diversity than did the wild species, and this lower diversity was observed for both domestic plants and different kinds of domestic animals including insect, bird and mammal in the whole-genome gene set (WGGS), candidate selected gene set (CSGS) and non-CSGS, with CSGS exhibiting a higher degree of decreased expression diversity. Moreover, different from previous reports which found 2 to 4% of genes were selected by human, we identified 6892 candidate selected genes accounting for 7.57% of the whole-genome genes in rice and revealed that fewer than 8% of the whole-genome genes had been affected by domestication. CONCLUSIONS Our results showed that domestication affected the pattern of variation in gene expression throughout the genome and generally decreased the expression diversity across species, and this decrease may have been associated with decreased genetic diversity. This pattern might have profound effects on the phenotypic and physiological changes of domestic animals and plants and provide insights into the genetic mechanisms at the transcriptome level other than decreased genetic diversity and increased linkage disequilibrium underpinning artificial selection.
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Affiliation(s)
- Wei Liu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China
| | - Lei Chen
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
- Center for Ecological and Environmental Sciences, Key Laboratory for Space Bioscience & Biotechnology, Northwestern Poly-technical University, Xi’an, 710072 China
| | - Shilai Zhang
- School of Agriculture, Yunnan University, Kunming, 650091 Yunnan China
| | - Fengyi Hu
- School of Agriculture, Yunnan University, Kunming, 650091 Yunnan China
| | - Zheng Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Jun Lyu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
| | - Bao Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, 650204 China
| | - Hui Xiang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
- Guangzhou Key Laboratory of Insect Development Regulation and Application Research, Institute of Insect Science and Technology and School of Life Sciences, South China Normal University, Guangzhou, 510631 China
| | - Ruoping Zhao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101 China
| | - Song Ge
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093 China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 China
- Center for Ecological and Environmental Sciences, Key Laboratory for Space Bioscience & Biotechnology, Northwestern Poly-technical University, Xi’an, 710072 China
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