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Aversano R, Iovene M, Esposito S, L'Abbate A, Villano C, Di Serio E, Cardone MF, Bergamini C, Cigliano RA, D'Amelia V, Frusciante L, Carputo D. Distinct structural variants and repeat landscape shape the genomes of the ancient grapes Aglianico and Falanghina. BMC Plant Biol 2024; 24:88. [PMID: 38317087 PMCID: PMC10845522 DOI: 10.1186/s12870-024-04778-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/29/2024] [Indexed: 02/07/2024]
Abstract
Mounting evidence recognizes structural variations (SVs) and repetitive DNA sequences as crucial players in shaping the existing grape phenotypic diversity at intra- and inter-species levels. To deepen our understanding on the abundance, diversity, and distribution of SVs and repetitive DNAs, including transposable elements (TEs) and tandemly repeated satellite DNA (satDNAs), we re-sequenced the genomes of the ancient grapes Aglianico and Falanghina. The analysis of large copy number variants (CNVs) detected candidate polymorphic genes that are involved in the enological features of these varieties. In a comparative analysis of Aglianico and Falanghina sequences with 21 publicly available genomes of cultivated grapes, we provided a genome-wide annotation of grape TEs at the lineage level. We disclosed that at least two main clusters of grape cultivars could be identified based on the TEs content. Multiple TEs families appeared either significantly enriched or depleted. In addition, in silico and cytological analyses provided evidence for a diverse chromosomal distribution of several satellite repeats between Aglianico, Falanghina, and other grapes. Overall, our data further improved our understanding of the intricate grape diversity held by two Italian traditional varieties, unveiling a pool of unique candidate genes never so far exploited in breeding for improved fruit quality.
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Affiliation(s)
- Riccardo Aversano
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy.
| | - Marina Iovene
- Institute of Biosciences and Bioresources, National Research Council of Italy (CNR-IBBR), Portici, Italy.
| | - Salvatore Esposito
- Institute of Biosciences and Bioresources, National Research Council of Italy (CNR-IBBR), Portici, Italy
- Research Centre for Cereal and Industrial Crops, Council for Agricultural Research and Economics (CREA-CI), Foggia, Italy
| | - Alberto L'Abbate
- Institute of Biomembranes, Bioenergetics, and Molecular Biotechnologies, National Research Council (IBIOM-CNR), Bari, Italy
| | - Clizia Villano
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Ermanno Di Serio
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Maria Francesca Cardone
- Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA-VE), Turi, Italy
| | - Carlo Bergamini
- Research Centre for Viticulture and Enology, Council for Agricultural Research and Economics (CREA-VE), Turi, Italy
| | | | - Vincenzo D'Amelia
- Institute of Biosciences and Bioresources, National Research Council of Italy (CNR-IBBR), Portici, Italy
| | - Luigi Frusciante
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Domenico Carputo
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
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Sun H, Sun J, Yuan Z, Li F, Li X, Li J, Du Y, Wang F. A Tos17 transposon insertion in OsCesA9 causes brittle culm in rice. Gene 2024; 890:147818. [PMID: 37739196 DOI: 10.1016/j.gene.2023.147818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/14/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023]
Abstract
The mechanical strength of rice stalks plays an important role in rice growth and development. In this study, the brittle culm mutant bc26 was identified from a tissue culture-derived line of the japonica rice cultivar 'ZH15'. bc26 plants showed fragile leaves and stalks and reduced plant height and spike number compared with wild-type 'ZH15'. Analysis of cell wall components revealed that the cellulose content of stems, leaves, roots and spikes of bc26 plants was significantly lower than that of the wild type, while the hemicellulose content in these tissues of bc26 plants was significantly higher than that of the wild type. Further sequencing using a mixed pool bulked segregant analysis sequencing (BSA-Seq) of brittle plants from the F2 populations localized the bc26 gene to chromosome 9, and a Tos17 transposon insertion in the bc6 gene near the highest SNP-index point was associated with a loss of gene function. Therefore, the bc26 gene was tentatively identified as a new allele of the Bc6 gene, resulting in the brittle culm trait caused by the insertion of the Tos17 transposon.
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Affiliation(s)
- Hongzheng Sun
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Jiajun Sun
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Zeke Yuan
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Fuhao Li
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Xinrong Li
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Junzhou Li
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Yanxiu Du
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China
| | - Fengqing Wang
- College of Agronomy, Henan Agricultural University, Zhengzhou 450046, PR China.
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Zhang Y, Liu S, De Meyer M, Liao Z, Zhao Y, Virgilio M, Feng S, Qin Y, Singh S, Wee SL, Jiang F, Guo S, Li H, Deschepper P, Vanbergen S, Delatte H, van Sauers-Muller A, Syamsudin TS, Kawi AP, Kasina M, Badji K, Said F, Liu L, Zhao Z, Li Z. Genomes of the cosmopolitan fruit pest Bactrocera dorsalis (Diptera: Tephritidae) reveal its global invasion history and thermal adaptation. J Adv Res 2023; 53:61-74. [PMID: 36574947 PMCID: PMC10658297 DOI: 10.1016/j.jare.2022.12.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 11/29/2022] [Accepted: 12/19/2022] [Indexed: 12/26/2022] Open
Abstract
INTRODUCTION The oriental fruit fly Bactrocera dorsalis is one of the most destructive agricultural pests worldwide, with highly debated species delimitation, origin, and global spread routes. OBJECTIVES Our study intended to (i) resolve the taxonomic uncertainties between B. dorsalis and B. carambolae, (ii) reveal the population structure and global invasion routes of B. dorsalis across Asia, Africa, and Oceania, and (iii) identify genomic regions that are responsible for the thermal adaptation of B. dorsalis. METHODS Based on a high-quality chromosome-level reference genome assembly, we explored the population relationship using a genome-scale single nucleotide polymorphism dataset generated from the resequencing data of 487 B. dorsalis genomes and 25 B. carambolae genomes. Genome-wide association studies and silencing using RNA interference were used to identify and verify the candidate genes associated with extreme thermal stress. RESULTS We showed that B. dorsalis originates from the Southern India region with three independent invasion and spread routes worldwide: (i) from Northern India to Northern Southeast Asia, then to Southern Southeast Asia; (ii) from Northern India to Northern Southeast Asian, then to China and Hawaii; and (iii) from Southern India toward the African mainland, then to Madagascar, which is mainly facilitated by human activities including trade and immigration. Twenty-seven genes were identified by a genome-wide association study to be associated with 11 temperature bioclimatic variables. The Cyp6a9 gene may enhance the thermal adaptation of B. dorsalis and thus boost its invasion, which tended to be upregulated at a hardening temperature of 38 °C. Functional verification using RNA interference silencing against Cyp6a9, led to the specific decrease in Cyp6a9 expression, reducing the survival rate of dsRNA-feeding larvae exposed to extreme thermal stress of 45 °C after heat hardening treatments in B. dorsalis. CONCLUSION This study provides insights into the evolutionary history and genetic basis of temperature adaptation in B. dorsalis.
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Affiliation(s)
- Yue Zhang
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Shanlin Liu
- College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - Marc De Meyer
- Royal Museum for Central Africa, Invertebrates Section and JEMU, Tervuren B3080, Belgium
| | - Zuxing Liao
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Yan Zhao
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Massimiliano Virgilio
- Royal Museum for Central Africa, Invertebrates Section and JEMU, Tervuren B3080, Belgium
| | - Shiqian Feng
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Yujia Qin
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Sandeep Singh
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Suk Ling Wee
- Centre for Insect Systematics, Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor Darul Ehsan, Malaysia
| | - Fan Jiang
- Institute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Shaokun Guo
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Hu Li
- College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - Pablo Deschepper
- Royal Museum for Central Africa, Invertebrates Section and JEMU, Tervuren B3080, Belgium
| | - Sam Vanbergen
- Royal Museum for Central Africa, Invertebrates Section and JEMU, Tervuren B3080, Belgium
| | | | | | - Tati Suryati Syamsudin
- School of Life Science and Technology, Bandung Institute of Technology, Bandung 40132, Indonesia
| | | | - Muo Kasina
- Apiculture Research Institute, P.O. Box 32-40302, Marigat, Kenya
| | - Kemo Badji
- Crop Protection Directorate, Dakar, Senegal
| | - Fazal Said
- Department of Agriculture, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Mardan, Pakistan
| | - Lijun Liu
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Zihua Zhao
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China
| | - Zhihong Li
- College of Plant Protection, China Agricultural University, Beijing 100193, China; Key Laboratory of Surveillance and Management for Plant Quarantine Pests, Ministry of Agriculture and Rural Affairs, Beijing 100193, China.
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Tian F, Zhou B, Li X, Zhang Y, Qi D, Qi H, Jiang H, Zhao K, Liu S. Population genomics analysis to identify ion and water transporter genes involved in the adaptation of Tibetan naked carps to brackish water. Int J Biol Macromol 2023; 247:125605. [PMID: 37392922 DOI: 10.1016/j.ijbiomac.2023.125605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/31/2023] [Accepted: 06/20/2023] [Indexed: 07/03/2023]
Abstract
Understanding how evolutionary processes shape the genetic variations and influence the response of species to environmental alterations is critical for biodiversity conservation and molecular breeding. Gymnocypris przewalskii przewalskii is the only known cyprinid fish that dwells in the brackish water of Lake Qinghai on the Qinghai-Tibetan Plateau. To reveal the genetic basis of its adaptation to high salinity and alkalinity, whole-genome sequencing was performed in G. p. przewalskii and its freshwater relatives Gymnocypris eckloni and Gymnocypris przewalskii ganzihonensis. Compared with freshwater species, lower genetic diversity and higher linkage disequilibrium were observed in G. p. przewalskii. Selective sweep analysis identified 424 core-selective genes enriched in transport activities. Transfection analysis showed that genetic changes in the positively selected gene aquaporin 3 (AQP3) improved cell viability after salt treatment, suggesting its involvement in brackish water adaptation. Our analysis indicates that ion and water transporter genes experienced intensive selection, which might have contributed to the maintenance of high osmolality and ion content in G. p. przewalskii. The current study identified key molecules involved in the adaptation of fish to brackish water, providing valuable genomic resources for the molecular breeding of salt-tolerant fish.
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Affiliation(s)
- Fei Tian
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Bingzheng Zhou
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xiaohuan Li
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, China
| | - Yu Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China
| | - Delin Qi
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, Qinghai, China
| | - Hongfang Qi
- Qinghai Provincial Key Laboratory of Breeding and Protection of Gymnocypris przewalskii, The rescue center of Qinghai Lake Naked Carp, Xining, Qinghai, China
| | - Huamin Jiang
- Qinghai Provincial Key Laboratory of Breeding and Protection of Gymnocypris przewalskii, The rescue center of Qinghai Lake Naked Carp, Xining, Qinghai, China
| | - Kai Zhao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Sijia Liu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China.
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Chen C, Zhang K, Liu F, Wang X, Yao Y, Niu X, He Y, Hong J, Liu F, Gao Q, Zhang Y, Li Y, Wang M, Lin J, Fan Y, Ren K, Shen L, Gao B, Ren X, Yang W, Georgiev MI, Zhang X, Zhou M. Resequencing of global Lotus corniculatus accessions reveals population distribution and genetic loci, associated with cyanogenic glycosides accumulation and growth traits. BMC Biol 2023; 21:176. [PMID: 37592232 PMCID: PMC10433565 DOI: 10.1186/s12915-023-01670-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/27/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND Lotus corniculatus is a widely distributed perennial legume whose great adaptability to different environments and resistance to barrenness make it an excellent forage and ecological restoration plant. However, its molecular genetics and genomic relationships among populations are yet to be uncovered. RESULT Here we report on a genomic variation map from worldwide 272 L. corniculatus accessions by genome resequencing. Our analysis suggests that L. corniculatus accessions have high genetic diversity and could be further divided into three subgroups, with the genetic diversity centers were located in Transcaucasia. Several candidate genes and SNP site associated with CNglcs content and growth traits were identified by genome-wide associated study (GWAS). A non-synonymous in LjMTR was responsible for the decreased expression of CNglcs synthesis genes and LjZCD was verified to positively regulate CNglcs synthesis gene CYP79D3. The LjZCB and an SNP in LjZCA promoter were confirmed to be involved in plant growth. CONCLUSION This study provided a large number of genomic resources and described genetic relationship and population structure among different accessions. Moreover, we attempt to provide insights into the molecular studies and breeding of CNglcs and growth traits in L. corniculatus.
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Affiliation(s)
- Cheng Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, 572024, China
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Kaixuan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Fu Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xia Wang
- Annoroad Gene Technology (Beijing) Co., Ltd., Beijing, 100177, China
| | - Yang Yao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiaolei Niu
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Yuqi He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jun Hong
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Fang Liu
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Qiu Gao
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Yi Zhang
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Yurong Li
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Meijuan Wang
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Jizhen Lin
- National Herbage Gempiasm Bank of China, National Animal Husbandry Service, Beijing, 100125, China
| | - Yu Fan
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Kui Ren
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lunhao Shen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Bin Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xue Ren
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Weifei Yang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Milen I Georgiev
- Laboratory of Metabolomics, The Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Plovdiv, Bulgaria
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
| | - Xinquan Zhang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Meiliang Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
- National Nanfan Research Institute, Chinese Academy of Agricultural Sciences, Sanya, 572024, China.
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Lu H, Song W, Shang XD, Liu JY, Zhang D, Li L, Wang RJ, Zhai XT, Feng T. Expression of terpene synthase-related genes in parents and offspring of Flammulina filiformis based on differences in volatile aroma components. Food Chem (Oxf) 2023; 6:100156. [PMID: 36588602 PMCID: PMC9794882 DOI: 10.1016/j.fochms.2022.100156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 11/25/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
Flammulina filiformis (F. filiformis) is one of the four major edible types of fungus in the world and has been cultivated in China since 800 CE (Anno Domini). Some of the most essential criteria for evaluating the quality of F. filiformis are the types and contents of volatile components present. A focused study on screened the terpene synthase genes involved in the aroma of offspring and compared key terpenoids between parents and offspring, which is helpful for the development and application of F. filiformis. Firstly, the volatile aroma components of parent and offspring F. filiformis were extracted using two pretreatment procedures, and then were semi-quantified by an internal standard. Forty-eight, fifty-eight, and forty-eight volatile compounds were identified in parents and offspring of three different strains, and 15, 22, and 12 aroma compounds (OAVs ≥ 1) were further screened out via calculating their odor activity values (OAVs). Terpenoids, in particular linalool and eucalyptol, which contribute more to the aroma, result in the unique green and grassy aroma of the offspring. At last, the F. filiformis genome was resequenced and the coordinates of genes related to terpenoid synthase were determined. The results showed that Scaffolds, including scaffold3.t874 and scaffold9.t157 were connected to terpenoid synthesis of offspring (No. 61523). The variant genes g269 and g61 were related to terpenoid synthase sequences. This study provides a theoretical foundation for the cultivation of more diverse and unique varieties of F. filiformis.
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Affiliation(s)
- Huan Lu
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, No. 1000, Jinqi Road, Shanghai, China
| | - Wei Song
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Xiao-Dong Shang
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, No. 1000, Jinqi Road, Shanghai, China
| | - Jian-Yu Liu
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, No. 1000, Jinqi Road, Shanghai, China
| | - Dan Zhang
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, No. 1000, Jinqi Road, Shanghai, China
| | - Liang Li
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Rui-Juan Wang
- National Research Center for Edible Fungi Biotechnology and Engineering, Key Laboratory of Applied Mycological Resources and Utilization, Ministry of Agriculture, Shanghai Key Laboratory of Agricultural Genetics and Breeding, Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, No. 1000, Jinqi Road, Shanghai, China
| | - Xiao-Ting Zhai
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China
| | - Tao Feng
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, China
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Xiao J, Tsim KWK, Hajisamae S, Wang WX. Chromosome-level genome and population genomics provide novel insights into adaptive divergence in allopatric Eleutheronema tetradactylum. Int J Biol Macromol 2023:125299. [PMID: 37315663 DOI: 10.1016/j.ijbiomac.2023.125299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/24/2023] [Accepted: 06/03/2023] [Indexed: 06/16/2023]
Abstract
Understanding the adaptive ecological divergence provides important information for revealing biodiversity generation and maintenance. Adaptive ecology divergence in populations occurs in various environments and locations, but its genetic underpinnings remain elusive. We generated a chromosome-level genome of Eleutheronema tetradactylum (~582 Mb) and re-sequenced 50 allopatric E. tetradactylum in two independent environmental axes in China and Thailand Coastal waters as well as 11 cultured relatives. A low level of whole genome-wide diversity explained their decreased adaptive potential in the wild environment. Demographic analysis showed evidence of historically high abundance followed by a continuous distinct decline, plus signs of recent inbreeding and accumulation of deleterious mutations. Extensive signals of selective sweeps with signs of local adaptation to environmental differentiation between China and Thailand at genes related to thermal and salinity adaptation were discovered, which might be the driving factors of the geographical divergence of E. tetradactylum. Many genes and pathways subjected to strong selection under artificial breeding were associated with fatty acids and immunity (ELOVL6L, MAPK, p53/NF-kB), likely contributing to the eventual adaptation of artificial selective breeding. Our comprehensive study provided crucial genetic information for E. tetradactylum, with implications for the further conservation efforts of this threatened and ecologically valuable fish.
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Affiliation(s)
- Jie Xiao
- School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong
| | - Karl W K Tsim
- Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
| | - Sukree Hajisamae
- Faculty of Science and Technology, Prince of Songkla University, Pattani 94000, Thailand
| | - Wen-Xiong Wang
- School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Kowloon, Hong Kong.
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Qu Y, Shang X, Zeng Z, Yu Y, Bian G, Wang W, Liu L, Tian L, Zhang S, Wang Q, Xie D, Chen X, Liao Z, Wang Y, Qin J, Yang W, Sun C, Fu X, Zhang X, Fang S. Whole-genome Duplication Reshaped Adaptive Evolution in A Relict Plant Species, Cyclocarya paliurus. Genomics Proteomics Bioinformatics 2023; 21:455-469. [PMID: 36775057 PMCID: PMC10787019 DOI: 10.1016/j.gpb.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 11/07/2022] [Accepted: 02/05/2023] [Indexed: 02/12/2023]
Abstract
Cyclocarya paliurus is a relict plant species that survived the last glacial period and shows a population expansion recently. Its leaves have been traditionally used to treat obesity and diabetes with the well-known active ingredient cyclocaric acid B. Here, we presented three C. paliurus genomes from two diploids with different flower morphs and one haplotype-resolved tetraploid assembly. Comparative genomic analysis revealed two rounds of recent whole-genome duplication events and identified 691 genes with dosage effects that likely contribute to adaptive evolution through enhanced photosynthesis and increased accumulation of triterpenoids. Resequencing analysis of 45 C. paliurus individuals uncovered two bottlenecks, consistent with the known events of environmental changes, and many selectively swept genes involved in critical biological functions, including plant defense and secondary metabolite biosynthesis. We also proposed the biosynthesis pathway of cyclocaric acid B based on multi-omics data and identified key genes, in particular gibberellin-related genes, associated with the heterodichogamy in C. paliurus species. Our study sheds light on evolutionary history of C. paliurus and provides genomic resources to study the medicinal herbs.
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Affiliation(s)
- Yinquan Qu
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xulan Shang
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Ziyan Zeng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yanhao Yu
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Guoliang Bian
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Wenling Wang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Li Liu
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Li Tian
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Shengcheng Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Qian Wang
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Dejin Xie
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xuequn Chen
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhenyang Liao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yibin Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jian Qin
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Wanxia Yang
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Caowen Sun
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China
| | - Xiangxiang Fu
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China.
| | - Xingtan Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
| | - Shengzuo Fang
- Nanjing Forestry University, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing 210037, China.
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9
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Pan YH, Nong BX, Chen L, Yang XH, Xia XZ, Zhang ZQ, Qing DJ, Gao J, Huang CC, Li DT, Deng GF. QTL mapping and identification of candidate genes for cold tolerance at the germination stage in wild rice. Genes Genomics 2023:10.1007/s13258-023-01394-6. [PMID: 37209287 DOI: 10.1007/s13258-023-01394-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/01/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Cold damage stress significantly affects rice growth (germination and seedling) and causes serious losses in yield in temperate and high-altitude areas around the globe. OBJECTIVE This study aimed to explore the cold tolerance (CT) locus of rice and create new cold-tolerant germplasm. We constructed a chromosome segment substitution line (CSSL) with strong CT and fine mapped quantitative trait loci (QTLs) associated with CT by performing the whole-genome resequencing of CSSL with phenotypes under cold treatment. METHODS A chromosome CSSL, including 271 lines from a cross between the cold-tolerant wild rice Y11 (Oryza rufipogon Griff.) and the cold-sensitive rice variety GH998, was developed to map QTLs conferring CT at the germination stage. The whole-genome resequencing was performed on CSSL for mapping QTLs of associated with CT at the germination stage. RESULTS A high-density linkage map of the CSSLs was developed using the whole-genome resequencing of 1484 bins. The QTL analysis using 615,466 single-nucleotide polymorphisms (SNPs) led to the identification of 2 QTLs related to germination rate at low-temperature on chromosome 8 (qCTG-8) and chromosome 11 (qCTG-11). The qCTG-8 and qCTG-11 explained 14.55% and 14.31% of the total phenotypic variation, respectively. We narrowed down qCTG-8 and qCTG-11 to 195.5 and 78.83-kb regions, respectively. The expression patterns of important candidate genes in different tissues, and of RNA-sequencing (RNA-seq) in CSSLs, were identified based on gene sequences in qCTG-8 and qCTG-11 cold-induced expression analysis. LOC_Os08g01120 and LOC_Os08g01390 were identified as candidate genes in qCTG-8, and LOC_Os11g32880 was identified as a candidate gene in qCTG-11. CONCLUSIONS This study demonstrated a general method that could be used to identify useful loci and genes in wild rice and aid in the future cloning of candidate genes of qCTG-8 and qCTG-11. The CSSLs with strong CT were supported for breeding cold-tolerant rice varieties.
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Affiliation(s)
- Ying-Hua Pan
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Bao-Xuan Nong
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Lei Chen
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Xing-Hai Yang
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Xiu-Zhong Xia
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Zong-Qiong Zhang
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Dong-Jin Qing
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Ju Gao
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Cheng-Cui Huang
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China
| | - Dan-Ting Li
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
| | - Guo-Fu Deng
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, 530007, China.
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10
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Hang Y, Yue L, Bingrui S, Qing L, Xingxue M, Liqun J, Shuwei L, Jing Z, Pingli C, Dajian P, Wenfeng C, Zhilan F, Chen L. Genetic Diversity and Breeding Signatures for Regional Indica Rice Improvement in Guangdong of Southern China. Rice (N Y) 2023; 16:25. [PMID: 37191779 DOI: 10.1186/s12284-023-00642-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/14/2023] [Indexed: 05/17/2023]
Abstract
As the pioneer of the Green Revolution in China, Guangdong province witnessed the improvement and spread of semi-dwarf Xian/Indica rice cultivars and possessed diverse rice germplasm of landrace and cultivars. A total of 517 accessions containing a core germplasm of 479 newly sequenced landraces and modern cultivars were used to reveal breeding signatures and key variations for regional genetic improvement of indica rice from Guangdong. Four subpopulations were identified in the collection, which including Ind IV as a novel subpopulation that not covered by previously released accessions. Modern cultivars of subpopulation Ind II were inferred to have less deleterious variations, especially in yield related genes. About 15 Mb genomic segments were identified as potential breeding signatures by cross-population likelihood method (XP-CLR) of modern cultivars and landraces. The selected regions spanning multiple yield related QTLs (quantitative trait locus) which identified by GWAS (genome-wide association studies) of the same population, and specific variations that fixed in modern cultivars of Ind II were characterized. This study highlights genetic differences between traditional landraces and modern cultivars, which revealed the potential molecular basis of regional genetic improvement for Guangdong indica rice from southern China.
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Affiliation(s)
- Yu Hang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Liu Yue
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Sun Bingrui
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Liu Qing
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Mao Xingxue
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Jiang Liqun
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Lyu Shuwei
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Zhang Jing
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Chen Pingli
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Pan Dajian
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Chen Wenfeng
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Fan Zhilan
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Li Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
- Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Guangzhou, 510640, China.
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640, China.
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China.
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11
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Moncada-Laínez M, Valladares-Medina PA, Castillo R, De la Rosa-Reyna XF, Sifuentes-Rincón AM, Moreno-Medina VR, Lara-Rivera AL, Parra-Bracamonte GM. Lactoferrin gene polymorphisms associated with clinical mastitis in Honduran Holstein inheritance cows. Mol Biol Rep 2023; 50:1949-52. [PMID: 36385664 DOI: 10.1007/s11033-022-08078-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/01/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Lactoferrin (LTF) is an iron-binding glycoprotein found in milk and other exocrine secretion with antibacterial activity proposed as an alternative to mastitis treatment or prevention. LTF has been proposed as a candidate gene for mastitis resistance selection. The aim of this paper was to assess LTF promotor to explore variations with potential association to mastitis resistance in dairy cows from Honduras. METHODS A resequencing of promotor and Exon I of LTF gene in extreme mastitis susceptibility cows (126 Holstein and Holstein crossbred) was performed. RESULTS Eight polymorphisms were found in promotor region, four of them were novel variations. Two were important by frequency among extreme groups, but a polymorphism in - 421 A/T position was significantly (P = 0.0188) associated to mastitis susceptibility. CONCLUSION Results support the key role of regulatory region of LTF gene. Some candidate genes are proposed in association with mastitis traits and implications are discussed.
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12
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Guo C, Zhang X, Li Y, Xie J, Gao P, Hao P, Han L, Zhang J, Wang W, Liu P, Ding J, Chang Y. Whole-genome resequencing reveals genetic differences and the genetic basis of parapodium number in Russian and Chinese Apostichopus japonicus. BMC Genomics 2023; 24:25. [PMID: 36647018 PMCID: PMC9843871 DOI: 10.1186/s12864-023-09113-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/04/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Apostichopus japonicus is an economically important species in the global aquaculture industry. Russian A. japonicus, mainly harvested in the Vladivostok region, exhibits significant phenotypic differentiation, including in many economically important traits, compared with Chinese A. japonicus owing to differences in their habitat. However, both the genetic basis for the phenotypic divergence and the population genetic structure of Russian and Chinese A. japonicus are unknown. RESULT In this study, 210 individuals from seven Russian and Chinese A. japonicus populations were sampled for whole-genome resequencing. The genetic structure analysis differentiated the Russian and Chinese A. japonicus into two groups. Population genetic analyses indicated that the Russian population showed a high degree of allelic linkage and had undergone stronger positive selection compared with the Chinese populations. Gene ontology terms enriched among candidate genes with group selection analysis were mainly involved in immunity, such as inflammatory response, antimicrobial peptides, humoral immunity, and apoptosis. Genome-wide association analysis yielded eight single-nucleotide polymorphism loci significantly associated with parapodium number, and these loci are located in regions with a high degree of genomic differentiation between the Chinese and Russia populations. These SNPs were associated with five genes. Gene expression validation revealed that three of these genes were significantly differentially expressed in individuals differing in parapodium number. AJAP08772 and AJAP08773 may directly affect parapodium production by promoting endothelial cell proliferation and metabolism, whereas AJAP07248 indirectly affects parapodium production by participating in immune responses. CONCLUSIONS This study, we performed population genetic structure and GWAS analysis on Chinese and Russian A. japonicus, and found three candidate genes related to the number of parapodium. The results provide an in-depth understanding of the differences in the genetic structure of A. japonicus populations in China and Russia, and provide important information for subsequent genetic analysis and breeding of this species.
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Affiliation(s)
- Chao Guo
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Xianglei Zhang
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Yuanxin Li
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Jiahui Xie
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Pingping Gao
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Pengfei Hao
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Lingshu Han
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China ,grid.203507.30000 0000 8950 5267Ningbo University, Ningbo, Zhejiang 315211 People’s Republic of China
| | - Jinyuan Zhang
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Wenpei Wang
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Peng Liu
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Jun Ding
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
| | - Yaqing Chang
- grid.410631.10000 0001 1867 7333Key Laboratory of Mariculture & Stock Enhancement in North China’s Sea, Ministry of Agriculture and Rural Affairs, Dalian Ocean University, Dalian, Liaoning 116023 People’s Republic of China
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13
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Hussain A, Farooq M, Naqvi RZ, Aslam MQ, Siddiqui HA, Amin I, Liu C, Liu X, Scheffler J, Asif M, Mansoor S. Whole-Genome Resequencing Deciphers New Insight Into Genetic Diversity and Signatures of Resistance in Cultivated Cotton Gossypium hirsutum. Mol Biotechnol 2023; 65:34-51. [PMID: 35778659 DOI: 10.1007/s12033-022-00527-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 06/07/2022] [Indexed: 01/11/2023]
Abstract
Cotton is an important crop that produces fiber and cottonseed oil for the textile and oil industry. However, cotton leaf curl virus disease (CLCuD) stress is limiting its yield in several Asian countries. In this study, we have sequenced Mac7 accession, a Gossypium hirsutum resistance source against several biotic stresses. By aligning with the Gossypium hirsutum (AD1) 'TM-1' genome, a total of 4.7 and 1.2 million SNPs and InDels were identified in the Mac7 genome. The gene ontology and metabolic pathway enrichment indicated SNPs and InDels role in nucleotide bindings, secondary metabolite synthesis, and plant-pathogen interaction pathways. Furthermore, the RNA-seq data in different tissues and qPCR expression profiling under CLCuD provided individual gene roles in resistant and susceptible accessions. Interestingly, the differential NLR genes demonstrated higher expression in resistant plants rather than in susceptible plants expression. The current resequencing results may provide primary data to identify DNA resistance markers which will be helpful in marker-assisted breeding for development of Mac7-derived resistance lines.
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Affiliation(s)
- Athar Hussain
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Muhammad Farooq
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan.,Bioinformatics Group, Wageningen University & Research (WUR), Wageningen, Netherlands
| | - Rubab Zahra Naqvi
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Muhammad Qasim Aslam
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Hamid Anees Siddiqui
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Imran Amin
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | | | - Xin Liu
- Beijing Genomics Institute (BGI), Shenzhen, China
| | - Jodi Scheffler
- Genomics and Bioinformatics Research Unit, United States Department of Agriculture-Agricultural Research Service, USDA-ARS), 141 Experimental Station Road, Stoneville, MS, USA
| | - Muhammad Asif
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan
| | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, Pakistan.
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14
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Zhu Z, Chen W, Zhou H, Cheng H, Luo S, Zhou K, Zhou P, Xia L, Ding X. ARTP and NTG compound mutations improved Cry protein production and virulence of Bacillus thuringiensis X023. Appl Microbiol Biotechnol 2022; 106:4211-4221. [PMID: 35622123 DOI: 10.1007/s00253-022-11983-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/06/2022] [Accepted: 05/13/2022] [Indexed: 12/31/2022]
Abstract
A high production mutated strain Bacillus thuringiensis X023PN (BtX023PN) was screened from the wild strain Bacillus thuringiensis X023 (BtX023) after atmospheric and room temperature plasma (ARTP) and nitrosoguanidine (NTG) mutation. BtX023PN grows faster than the wild strain, and its lysis of mother cell was 6 h ahead BtX023, but the ability of sporulation was significantly reduced. Bioassay indicated that compared with the wild type strain, the virulence of BtX023PN against Plutella xylostella (P. xylostella) and Mythimna seperata (M. seperata) increased to 2.33-fold and 2.13-fold respectively. qRT-PCR and SDS-PAGE demonstrated that the production of Cry1Ac increased by 61%. Resequence indicated that the mutated sites enriched on the key carbohydrate metabolism and amino acid metabolism. This study provides a new strain resource for the development of Bt insecticides and a feasible technical strategy for the breeding of Bt. KEY POINTS: • Atmospheric and room temperature plasma used in breeding of Bacillus thuringiensis. • Less stationary phase time with more ICP production. • Semi-lethal concentration against Plutella xylostella reduced by about 57.
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Affiliation(s)
- Zirong Zhu
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Wenhui Chen
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Hongbo Zhou
- School of Minerals Processing and Bioengineering, Central South University, Changsha, 410083, Hunan, China
| | - Haina Cheng
- School of Minerals Processing and Bioengineering, Central South University, Changsha, 410083, Hunan, China
| | - Sisi Luo
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Kexuan Zhou
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Pengji Zhou
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Liqiu Xia
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China
| | - Xuezhi Ding
- Hunan Provincial Key Laboratory of Microbial Molecular Biology, State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, 410081, Hunan, China.
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Yang Y, Zhang K, Xiao Y, Zhang L, Huang Y, Li X, Chen S, Peng Y, Yang S, Liu Y, Cheng F. Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei (Rubus corchorifolius). Genomics Proteomics Bioinformatics 2022; 20:1106-1118. [PMID: 35643190 DOI: 10.1016/j.gpb.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 04/28/2022] [Accepted: 05/19/2022] [Indexed: 11/16/2022]
Abstract
Rubus corchorifolius (Shanmei or mountain berry, 2n = 14) is widely distributed in China, and its fruits possess high nutritional and medicinal values. Here, we reported a high-quality chromosome-scale genome assembly of Shanmei, with contig size of 215.69 Mb and 26,696 genes. Genome comparison among Rosaceae species showed that Shanmei and Fupenzi (Rubus chingii Hu) were most closely related, followed by blackberry (Rubus occidentalis), and that environmental adaptation-related genes were significantly expanded in the Shanmei genome. Further resequencing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan, Hunan, Jiangxi, and Sichuan in China revealed that the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population. Moreover, the Yunnan population underwent strong selection based on the nucleotide diversity, linkage disequilibrium, and historical effective population size analyses. Furthermore, genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosynthesis and plant hormone signal transduction pathways, indicating the genetic basis of adaptation of Shanmei to the local environment. The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evolution and ecological adaptation of Rubus species.
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Affiliation(s)
- Yinqing Yang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Kang Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Ya Xiao
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China; Biotechnology Research Center, Xiangxi Academy of Agricultural Sciences, Jishou 416000, China
| | - Lingkui Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Yile Huang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Xing Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Shumin Chen
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China
| | - Yansong Peng
- Lushan Botanical Garden, Chinese Academy of Sciences, Lushan 332900, China
| | - Shuhua Yang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
| | - Yongbo Liu
- State Environmental Protection Key Laboratory of Regional Eco-process and Function Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Feng Cheng
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops, Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 100081, China.
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Škrabišová M, Dietz N, Zeng S, Chan YO, Wang J, Liu Y, Biová J, Joshi T, Bilyeu KD. A novel Synthetic phenotype association study approach reveals the landscape of association for genomic variants and phenotypes. J Adv Res 2022; 42:117-133. [PMID: 36513408 PMCID: PMC9788956 DOI: 10.1016/j.jare.2022.04.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/14/2022] [Accepted: 04/08/2022] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Genome-Wide Association Studies (GWAS) identify tagging variants in the genome that are statistically associated with the phenotype because of their linkage disequilibrium (LD) relationship with the causative mutation (CM). When both low-density genotyped accession panels with phenotypes and resequenced data accession panels are available, tagging variants can assist with post-GWAS challenges in CM discovery. OBJECTIVES Our objective was to identify additional GWAS evaluation criteria to assess correspondence between genomic variants and phenotypes, as well as enable deeper analysis of the localized landscape of association. METHODS We used genomic variant positions as Synthetic phenotypes in GWAS that we named "Synthetic phenotype association study" (SPAS). The extreme case of SPAS is what we call an "Inverse GWAS" where we used CM positions of cloned soybean genes. We developed and validated the Accuracy concept as a measure of the correspondence between variant positions and phenotypes. RESULTS The SPAS approach demonstrated that the genotype status of an associated variant used as a Synthetic phenotype enabled us to explore the relationships between tagging variants and CMs, and further, that utilizing CMs as Synthetic phenotypes in Inverse GWAS illuminated the landscape of association. We implemented the Accuracy calculation for a curated accession panel to an online Accuracy calculation tool (AccuTool) as a resource for gene identification in soybean. We demonstrated our concepts on three examples of soybean cloned genes. As a result of our findings, we devised an enhanced "GWAS to Genes" analysis (Synthetic phenotype to CM strategy, SP2CM). Using SP2CM, we identified a CM for a novel gene. CONCLUSION The SP2CM strategy utilizing Synthetic phenotypes and the Accuracy calculation of correspondence provides crucial information to assist researchers in CM discovery. The impact of this work is a more effective evaluation of landscapes of GWAS associations.
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Affiliation(s)
- Mária Škrabišová
- Department of Biochemistry, Faculty of Science, Palacky University Olomouc, Olomouc 78371, Czech Republic
| | - Nicholas Dietz
- Division of Plant Sciences, University of Missouri, Columbia, MO 65201, USA
| | - Shuai Zeng
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA,Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65212, USA
| | - Yen On Chan
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65212, USA,MU Data Science and Informatics Institute, University of Missouri, Columbia, MO 65212, USA
| | - Juexin Wang
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA,Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65212, USA
| | - Yang Liu
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65212, USA,MU Data Science and Informatics Institute, University of Missouri, Columbia, MO 65212, USA
| | - Jana Biová
- Department of Biochemistry, Faculty of Science, Palacky University Olomouc, Olomouc 78371, Czech Republic
| | - Trupti Joshi
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA,Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65212, USA,MU Data Science and Informatics Institute, University of Missouri, Columbia, MO 65212, USA,Department of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, MO 65212, USA,Corresponding authors at: Department of Health Management and Informatics, School of Medicine, 1201 E Rollins St, 271B Life Science Center, Columbia, MO 65201, USA (T. Joshi). Plant Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service, 110 Waters Hall, University of Missouri, Columbia, MO 65211, USA (K.D. Bilyeu).
| | - Kristin D. Bilyeu
- Plant Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service, University of Missouri, Columbia, MO 65211, USA,Corresponding authors at: Department of Health Management and Informatics, School of Medicine, 1201 E Rollins St, 271B Life Science Center, Columbia, MO 65201, USA (T. Joshi). Plant Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service, 110 Waters Hall, University of Missouri, Columbia, MO 65211, USA (K.D. Bilyeu).
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Esposito S, Aiese Cigliano R, Cardi T, Tripodi P. Whole-genome resequencing reveals genomic footprints of Italian sweet and hot pepper heirlooms giving insight into genes underlying key agronomic and qualitative traits. BMC Genom Data 2022; 23:21. [PMID: 35337259 DOI: 10.1186/s12863-022-01039-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 03/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background Pepper is a major crop species of the Solanaceae family, largely appreciated for its high nutritional and healthy contribution to human diets. In the Mediterranean basin, the favorable pedoclimatic conditions enhanced the selection of several diversified landraces cultivated pepper (Capsicum annuum), for whom Italy can be considered a main pole of diversification. Hence, a survey of traditional C. annuum genetic resources is essential for deep understanding of such diversity and for applications in genomics assisted breeding. Here, we report whole-genome resequencing analyses of two sweet and two pungent genotypes highly diffused in South Italy and representative of the variability for shape, colour and nutritional properties. Results The four genomes were reconstructed at a chromosomal scale using a reference-guided approach, based on a dataset of 2.6 billion paired-end reads, corresponding to 20× genome coverage and a mapping rate above 99% for a final genomes size of approximately 3 Gb. After five iterations of variant calling, a total of 29,258,818 single nucleotide polymorphisms (SNPs) and 1,879,112 InDels, were identified. Substantial differences were observed among the four genomes based on geographical origin, with chromosomes 9 and 11 showing more polymorphisms in the accessions with higher fruit weight and absence of pungency. Among the identified variants, a small private indel (T - > TA) shared between sweet and big fruits accessions induces a frameshift with the generation of a new stop codon in a gene annotated as extensin, whereas two private SNPs within hot types were identified in 1-aminocyclopropane-1-carboxylate oxidase (ACO), a key gene involved in fruit ripening. The estimation of repetitive elements highlights a preponderant presence of Long Terminal Repeats (LTRs), the majority of which belonged to Gypsy superfamily. By comparing the four genomes with publicly available references including ‘CM334’ and Zunla-1 highlight the presence of 49,475 shared gene families. Conclusions The new genomic sequences aim to enrich the whole genome information of pepper local varieties, providing a valuable tool for precision gene mapping, marker discovery, comparative studies. Such knowledge widens the frontiers to understand the selection history of Italian pepper landraces toward the recognition of specificity local agri-food products marks. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01039-9.
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Mekbib Y, Tesfaye K, Dong X, Saina JK, Hu GW, Wang QF. Whole-genome resequencing of Coffea arabica L. (Rubiaceae) genotypes identify SNP and unravels distinct groups showing a strong geographical pattern. BMC Plant Biol 2022; 22:69. [PMID: 35164709 PMCID: PMC8842891 DOI: 10.1186/s12870-022-03449-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/27/2022] [Indexed: 06/04/2023]
Abstract
BACKGROUND Coffea arabica L. is an economically important agricultural crop and the most popular beverage worldwide. As a perennial crop with recalcitrant seed, conservation of the genetic resources of coffee can be achieved through the complementary approach of in-situ and ex-situ field genebank. In Ethiopia, a large collection of C. arabica L. germplasm is preserved in field gene banks. Here, we report the whole-genome resequencing of 90 accessions from Choche germplasm bank representing garden and forest-based coffee production systems using Illumina sequencing technology. RESULTS The genome sequencing generated 6.41 billion paired-end reads, with a mean of 71.19 million reads per sample. More than 93% of the clean reads were mapped onto the C. arabica L. reference genome. A total of 11.08 million variants were identified, among which 9.74 million (87.9%) were SNPs (Single nucleotide polymorphisms) and 1.34 million (12.1%) were InDels. In all accessions, genomic variants were unevenly distributed across the coffee genome. The phylogenetic analysis using the SNP markers displayed distinct groups. CONCLUSIONS Resequencing of the coffee accessions has allowed identification of genetic markers, such as SNPs and InDels. The SNPs discovered in this study might contribute to the variation in important pathways of genes for important agronomic traits such as caffeine content, yield, disease, and pest in coffee. Moreover, the genome resequencing data and the genetic markers identified from 90 accessions provide insight into the genetic variation of the coffee germplasm and facilitate a broad range of genetic studies.
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Affiliation(s)
- Yeshitila Mekbib
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- Ethiopian Biodiversity Institute, P.O. Box 30726, Addis Ababa, Ethiopia
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Kassahun Tesfaye
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
- Ethiopian Biotechnology Institute, Ministry of Innovation and Technology, Addis Ababa, Ethiopia
| | - Xiang Dong
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Josphat K Saina
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
- Centre for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, 666303, China
| | - Guang-Wan Hu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China.
| | - Qing-Feng Wang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
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Zhang F, Qu L, Gu Y, Xu ZH, Xue HW. Resequencing and genome-wide association studies of autotetraploid potato. Mol Hortic 2022; 2:6. [PMID: 37789415 PMCID: PMC10515019 DOI: 10.1186/s43897-022-00027-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/01/2022] [Indexed: 10/05/2023]
Abstract
Potato is the fourth most important food crop in the world. Although with a long history for breeding approaches, genomic information and association between genes and agronomic traits remain largely unknown particularly in autotetraploid potato cultivars, which limit the molecular breeding progression. By resequencing the genome of 108 main cultivar potato accessions with rich genetic diversity and population structure from International Potato Center, with approximate 20-fold coverage, we revealed more than 27 million Single Nucleotide Polymorphisms and ~ 3 million Insertion and Deletions with high quality and accuracy. Domestication analysis and genome-wide association studies (GWAS) identified candidate loci related to photoperiodic flowering time and temperature sensitivity as well as disease resistance, providing informative insights into the selection and domestication of cultivar potato. In addition, GWAS with GWASploy for 25 agronomic traits identified candidate loci by association signals, especially those related to tuber size, small-sized tuber weight and tuber thickness that was also validated by transcriptome analysis. Our study provides a valuable resource that facilitates the elucidation of domestication process as well as the genetic studies and agronomic improvement of autotetraploid potato.
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Affiliation(s)
- Feng Zhang
- College of Agronomy, Gansu Provincial Key Laboratory of Aridland Crop Science, Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Gansu Agricultural University, Lanzhou, 730070, China
| | - Li Qu
- Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yincong Gu
- Shanghai OEbiotech, Shanghai, 201210, China
| | - Zhi-Hong Xu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Hong-Wei Xue
- Shanghai Collaborative Innovation Center of Agri-Seeds, Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China.
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Li C, Liu K, Dai J, Li X, Liu X, Ni W, Li H, Wang D, Qiao J, Wang Y, Cui Y, Xia X, Hu S. Whole-genome resequencing to investigate the determinants of the multi-lumbar vertebrae trait in sheep. Gene 2022; 809:146020. [PMID: 34656743 DOI: 10.1016/j.gene.2021.146020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 10/03/2021] [Accepted: 10/11/2021] [Indexed: 12/25/2022]
Abstract
Multi-lumbar vertebrae trait is a beneficial mutation that can significantly improve livestock meat production. However, the genetic basis of the multi-lumbar vertebrae in sheep is still unclear. Here, we analysed the number of lumbar vertebrae of Duolang sheep and found three different traits of lumbar vertebrae number. Compared with the normal sheep, the length and weight of animal carcass from the multi-lumbar vertebrae sheep increased by 2.21 cm and 0.78 kg, respectively. We performed high-throughput genome resequencing on multi-lumbar vertebrae (n = 18) and normal (n = 11) Duolang sheep and obtained a total of more than 528.87 GB data. We found that the most significantly selective region were located in the 49.68-49.74 MB of chromosome 4 by selective-sweep analysis. We annotated this region and found that it contains SFRP4 which is known to regulate bone development. We further used the PCR-SSCP technology to detect the single nucleotide polymorphism (SNP) of the putative candidate SFRP4 and found that the two SNPs (rs600370085:C > T and rs415133338: A > G) of this gene were significantly associated with the multi-lumbar vertebrae of Duolang sheep. Our study indicates that the SFRP4 may be a potential major gene that affects the number of lumbar vertebrae in Duolang sheep, and has the potential to be utilized for sheep breeding in the future.
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Affiliation(s)
- Cunyuan Li
- College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China; College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Kaiping Liu
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Jihong Dai
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Xiaoyue Li
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Xia Liu
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Wei Ni
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Hui Li
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Dawei Wang
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Jun Qiao
- College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China.
| | - Yue Wang
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Yuying Cui
- College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China
| | - Xianzhu Xia
- College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China.
| | - Shengwei Hu
- College of Animal Science and Technology, Shihezi University, Shihezi, Xinjiang 832003, China; College of Life Science, Shihezi University, Shihezi, Xinjiang 832003, China.
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Li Y, Mo T, Ran L, Zeng J, Wang C, Liang A, Dai Y, Wu Y, Zhong Z, Xiao Y. Genome resequencing-based high-density genetic map and QTL detection for yield and fiber quality traits in diploid Asiatic cotton (Gossypium arboreum). Mol Genet Genomics 2022; 297:199-212. [PMID: 35048185 DOI: 10.1007/s00438-021-01848-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 12/14/2021] [Indexed: 10/19/2022]
Abstract
Cotton is the most important fiber crop in the world. Asiatic cotton (Gossypium arboreum, genome A2) is a diploid cotton species producing spinnable fibers and important germplasm for cotton breeding and a significant model for fiber biology. However, the genetic map of Asiatic cotton has been lagging behind tetraploid cottons, as well as other stable crops. This study aimed to construct a high-density SNP genetic map and to map QTLs for important yield and fiber quality traits. Using a recombinant inbred line (RIL) population and genome resequencing technology, we constructed a high-density genetic map that covered 1980.17 cM with an average distance of 0.61 cM between adjacent markers. QTL analysis revealed a total of 297 QTLs for 13 yield and fiber quality traits in three environments, explaining 5.0-37.4% of the phenotypic variance, among which 75 were stably detected in two or three environments. Besides, 47 QTL clusters, comprising 131 QTLs for representative traits, were identified. Our works laid solid foundation for fine mapping and cloning of QTL for yield and fiber quality traits in Asiatic cotton.
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Affiliation(s)
- Yaohua Li
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Tong Mo
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Lingfang Ran
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Jianyan Zeng
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Chuannan Wang
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Aimin Liang
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Yonglu Dai
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Yiping Wu
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Ziman Zhong
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China
| | - Yuehua Xiao
- Biotechnology Research Center, Chongqing Key Laboratory of Application and Safety Control of Genetically Modified Crops, Southwest University, Southwest University Southern Campus, Tiansheng Rd No. 2, Beibei, Chongqing, 400716, China.
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Long R, Zhang F, Zhang Z, Li M, Chen L, Wang X, Liu W, Zhang T, Yu LX, He F, Jiang X, Yang X, Yang C, Wang Z, Kang J, Yang Q. Genome assembly of alfalfa cultivar zhongmu-4 and identification of SNPs associated with agronomic traits. Genomics Proteomics Bioinformatics 2022; 20:14-28. [PMID: 35033678 PMCID: PMC9510860 DOI: 10.1016/j.gpb.2022.01.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 12/23/2021] [Accepted: 01/07/2022] [Indexed: 12/21/2022]
Abstract
Alfalfa (Medicago sativa L.) is the most important legume forage crop worldwide with high nutritional value and yield. For a long time, the breeding of alfalfa was hampered by lacking reliable information on the autotetraploid genome and molecular markers linked to important agronomic traits. We herein reported the de novo assembly of the allele-aware chromosome-level genome of Zhongmu-4, a cultivar widely cultivated in China, and a comprehensive database of genomic variations based on resequencing of 220 germplasms. Approximate 2.74 Gb contigs (N50 of 2.06 Mb), accounting for 88.39% of the estimated genome, were assembled, and 2.56 Gb contigs were anchored to 32 pseudo-chromosomes. A total of 34,922 allelic genes were identified from the allele-aware genome. We observed the expansion of gene families, especially those related to the nitrogen metabolism, and the increase of repetitive elements including transposable elements, which probably resulted in the increase of Zhongmu-4 genome compared with Medicago truncatula. Population structure analysis revealed that the accessions from Asia and South America had relatively lower genetic diversity than those from Europe, suggesting that geography may influence alfalfa genetic divergence during local adaption. Genome-wide association studies identified 101 single nucleotide polymorphisms (SNPs) associated with 27 agronomic traits. Two candidate genes were predicted to be correlated with fall dormancy and salt response. We believe that the allele-aware chromosome-level genome sequence of Zhongmu-4 combined with the resequencing data of the diverse alfalfa germplasms will facilitate genetic research and genomics-assisted breeding in variety improvement of alfalfa.
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Affiliation(s)
- Ruicai Long
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Fan Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99163, United States
| | - Zhiwu Zhang
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99163, United States
| | - Mingna Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lin Chen
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xue Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Wenwen Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Tiejun Zhang
- School of Grassland Science, Beijing Forestry University, Beijing 100083, China
| | - Long-Xi Yu
- United States Department of Agriculture-Agricultural Research Service, Plant and Germplasm Introduction and Testing Research, Prosser, WA, 99350, United States
| | - Fei He
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xueqian Jiang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xijiang Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Changfu Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhen Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Junmei Kang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
| | - Qingchuan Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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23
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Abstract
While conventional PCR applications typically focus on a single PCR assay per reaction, multiplex PCR applications are a convenient and scalable solution becoming more routine. Multiplex methods can be applied to virtually any DNA template source (e.g., plant or human DNA, FFPE DNA isolated from clinical samples, bisulfite-converted DNA for DNA methylation analysis), and offers a cheap, convenient, and scalable solution for experiments that require characterization and analysis of multiple genomic regions.This method will detail the procedures to successfully design, screen, and prepare multiplex amplicon libraries; as well as supporting instructions on how to prepare these libraries for sequencing on Illumina, Ion Torrent, and Oxford Nanopore platforms. The flexibility of assay design allows means that custom multiplex panels can range in size from two assays up to a few hundred amplicons or more. Notably, the method described here is also amenable to whatever PCR buffer system the user prefers to use, making the system globally adaptable to the needs and preferences of the end user.
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Affiliation(s)
- Darren Korbie
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD, Australia.
| | - Matt Trau
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD, Australia
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, QLD, Australia
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24
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Hu W, Ji C, Liang Z, Ye J, Ou W, Ding Z, Zhou G, Tie W, Yan Y, Yang J, Ma L, Yang X, Wei Y, Jin Z, Xie J, Peng M, Wang W, Guo A, Xu B, Guo J, Chen S, Wang M, Zhou Y, Li X, Li R, Xiao X, Wan Z, An F, Zhang J, Leng Q, Li Y, Shi H, Ming R, Li K. Resequencing of 388 cassava accessions identifies valuable loci and selection for variation in heterozygosity. Genome Biol 2021; 22:316. [PMID: 34784936 PMCID: PMC8594203 DOI: 10.1186/s13059-021-02524-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 10/24/2021] [Indexed: 01/30/2023] Open
Abstract
Background Heterozygous genomes are widespread in outcrossing and clonally propagated crops. However, the variation in heterozygosity underlying key agronomic traits and crop domestication remains largely unknown. Cassava is a staple crop in Africa and other tropical regions and has a highly heterozygous genome. Results We describe a genomic variation map from 388 resequenced genomes of cassava cultivars and wild accessions. We identify 52 loci for 23 agronomic traits through a genome-wide association study. Eighteen allelic variations in heterozygosity for nine candidate genes are significantly associated with seven key agronomic traits. We detect 81 selective sweeps with decreasing heterozygosity and nucleotide diversity, harboring 548 genes, which are enriched in multiple biological processes including growth, development, hormone metabolisms and responses, and immune-related processes. Artificial selection for decreased heterozygosity has contributed to the domestication of the large starchy storage root of cassava. Selection for homozygous GG allele in MeTIR1 during domestication contributes to increased starch content. Selection of homozygous AA allele in MeAHL17 is associated with increased storage root weight and cassava bacterial blight (CBB) susceptibility. We have verified the positive roles of MeTIR1 in increasing starch content and MeAHL17 in resistance to CBB by transient overexpression and silencing analysis. The allelic combinations in MeTIR1 and MeAHL17 may result in high starch content and resistance to CBB. Conclusions This study provides insights into allelic variation in heterozygosity associated with key agronomic traits and cassava domestication. It also offers valuable resources for the improvement of cassava and other highly heterozygous crops. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-021-02524-7.
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Affiliation(s)
- Wei Hu
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China. .,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China. .,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.
| | - Changmian Ji
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Zhe Liang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianqiu Ye
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Wenjun Ou
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Zehong Ding
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Gang Zhou
- Biomarker Technologies Corporation, Beijing, China
| | - Weiwei Tie
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Yan Yan
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Jinghao Yang
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Liming Ma
- Biomarker Technologies Corporation, Beijing, China
| | - Xiaoying Yang
- College of Food Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Yunxie Wei
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, Hainan, China
| | - Zhiqiang Jin
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Jianghui Xie
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Ming Peng
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Wenquan Wang
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Anping Guo
- Sanya Research Institute of Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.,Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Biyu Xu
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Jianchun Guo
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off-Season Reproduction Regions, Key Laboratory of Biology and Genetic Resources of Tropical Crops, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.,Hainan Key Laboratory for Protection and Utilization of Tropical Bioresources, Hainan Institute for Tropical Agricultural Resources, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Songbi Chen
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | | | - Yang Zhou
- Biomarker Technologies Corporation, Beijing, China
| | - Xiaolong Li
- Biomarker Technologies Corporation, Beijing, China
| | - Ruoxi Li
- Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, 10027, USA
| | - Xinhui Xiao
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Zhongqing Wan
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Feifei An
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Jie Zhang
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Qingyun Leng
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | - Yin Li
- Waksman Institute of Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Haitao Shi
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, Hainan, China.
| | - Ray Ming
- FAFU and UIUC-SIB Joint Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, China. .,Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Kaimian Li
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China.
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25
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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26
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Yu J, Hui Y, Chen J, Yu H, Gao X, Zhang Z, Li Q, Zhu S, Zhao T. Whole-genome resequencing of 240 Gossypium barbadense accessions reveals genetic variation and genes associated with fiber strength and lint percentage. Theor Appl Genet 2021; 134:3249-3261. [PMID: 34240238 DOI: 10.1007/s00122-021-03889-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/08/2021] [Indexed: 05/26/2023]
Abstract
Genetic variation in a G. barbadense population was revealed using resquencing. GWAS on G.barbadense population identified several candidate genes associated with fiber strength and lint percentage. Gossypium barbadense is the second-largest cultivated cotton species planted in the world, which is characterized by high fiber quality. Here, we described the global pattern of genetic polymorphisms for 240 G. barbadense accessions based on the whole-genome resequencing. A total of 3,632,231 qualified single-nucleotide polymorphisms (SNPs) and 221,354 insertion-deletions (indels) were obtained. We conducted a genome-wide association study (GWAS) on 12 traits under four environments. Two traits with more stable associated variants, fiber strength and lint percentage, were chosen for further analysis. Three putative candidate genes, HD16 orthology (GB_D11G3437), WDL2 orthology (GB_D11G3460) and TUBA1 orthology (GB_D11G3471), on chromosome D11 were found to be associated with fiber strength, and one gene orthologous to Arabidopsis Receptor-like protein kinase HERK 1 (GB_A07G1034) was predicated to be the candidate gene for the lint percentage improvement. The identified genes may serve as promising targets for genetic engineering to accelerate the breeding process for G. barbadense and the high-density genome variation map constructed in this work may facilitate our understanding of the genetic architecture of cotton traits.
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Affiliation(s)
- Jingwen Yu
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China
| | - Yixuan Hui
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China
| | - Jinhong Chen
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China
| | - Hurong Yu
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China
| | - Xinpeng Gao
- Novogene Bioinformatics Institute, Beijing, 100083, China
| | - Zhaohui Zhang
- Hainan Institute, Zhejiang University, Sanya, 572025, China
| | - Qin Li
- Hainan Institute, Zhejiang University, Sanya, 572025, China
| | - Shuijin Zhu
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China.
- Hainan Institute, Zhejiang University, Sanya, 572025, China.
| | - Tianlun Zhao
- Institute of Crop Science, College of Agriculture, Zhejiang University, Hangzhou, 310058, China.
- Hainan Institute, Zhejiang University, Sanya, 572025, China.
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Zhao J, Li H, Xu Y, Yin Y, Huang T, Zhang B, Wang Y, Li Y, Cao Y, An W. A consensus and saturated genetic map provides insight into genome anchoring, synteny of Solanaceae and leaf- and fruit-related QTLs in wolfberry (Lycium Linn.). BMC Plant Biol 2021; 21:350. [PMID: 34303361 PMCID: PMC8306383 DOI: 10.1186/s12870-021-03115-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 06/22/2021] [Indexed: 06/02/2023]
Abstract
BACKGROUND Lycium Linn. (Solanaceae) is a genus of economically important plants producing fruits and leaves with high nutritional value and medicinal benefits. However, genetic analysis of this plant and molecular breeding for quality improvement are limited by the lack of sufficient molecular markers. RESULTS In this study, two parental strains, 'Ningqi No. 1' (Lycium barbarum L.) and 'Yunnan Gouqi' (Lycium yunnanense Kuang et A.M. Lu), and 200 F1 hybrid individuals were resequenced for genetic analysis. In total, 8,507 well-selected SNPs were developed, and a high-density genetic map (NY map) was constructed with a total genetic distance of 2,122.24 cM. A consensus genetic map was established by integrating the NY map and a previously published genetic map (NC map) containing 15,240 SNPs, with a total genetic distance of 3,058.19 cM and an average map distance of 0.21 cM. The 12 pseudochromosomes of the Lycium reference genome were anchored using this consensus genetic map, with an anchoring rate of 64.3%. Moreover, weak collinearities between the consensus map and the pepper, potato, and tomato genomes were observed. Twenty-five stable QTLs were identified for leaf- and fruit-related phenotypes, including fruit weight, fruit longitude, leaf length, the fruit index, and the leaf index; these stable QTLs were mapped to four different linkage groups, with LOD scores ranging from 2.51 to 19.37 and amounts of phenotypic variance explained from 6.2% to 51.9%. Finally, 82 out of 188 predicted genes underlying stable QTLs for fruit-related traits were differentially expressed according to RNA-seq analysis. CONCLUSIONS A chromosome-level assembly can provide a foundation for further functional genomics research for wolfberry. The genomic regions of these stably expressed QTLs could be used as targets for further fine mapping and development of molecular markers for marker-assisted selection (MAS). The present study provided valuable information on saturated SNP markers and reliable QTLs for map-based cloning of functional genes related to yield and morphological traits in Lycium spp.
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Affiliation(s)
- Jianhua Zhao
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Haoxia Li
- Desertification Control Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002 China
| | - Yuhui Xu
- Adsen Biotechnology Co., Ltd, Urumchi, 830022 China
| | - Yue Yin
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Ting Huang
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Bo Zhang
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Yajun Wang
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Yanlong Li
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Youlong Cao
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
| | - Wei An
- Wolfberry Science Research Institute, Ningxia Academy of Agriculture and Forestry Sciences/National Wolfberry Engineering Research Center, Yinchuan, 750002 China
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28
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Takeshima R, Ogiso-Tanaka E, Yasui Y, Matsui K. Targeted amplicon sequencing + next-generation sequencing-based bulked segregant analysis identified genetic loci associated with preharvest sprouting tolerance in common buckwheat (Fagopyrum esculentum). BMC Plant Biol 2021; 21:18. [PMID: 33407135 PMCID: PMC7789488 DOI: 10.1186/s12870-020-02790-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 12/08/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Common buckwheat (2n = 2x = 16) is an outcrossing pseudocereal whose seeds contain abundant nutrients and potential antioxidants. As these beneficial compounds are damaged by preharvest sprouting (PHS) and PHS is likely to increase with global warming, it is important to find efficient ways to develop new PHS-tolerant lines. However, genetic loci and selection markers associated with PHS in buckwheat have not been reported. RESULTS By next-generation sequencing (NGS) of whole-genome of parental lines, we developed a genome-wide set of 300 markers. By NGS- based bulked segregant analysis (NGS-BSA), we developed 100 markers linked to PHS tolerance. To confirm the effectiveness of marker development from NGS-BSA data, we developed 100 markers linked to the self-compatibility (SC) trait from previous NGS-BSA data. Using these markers, we developed genetic maps with AmpliSeq technology, which can quickly detect polymorphisms by amplicon-based multiplex targeted NGS, and performed quantitative trait locus (QTL) analysis for PHS tolerance in combination with NGS-BSA. QTL analysis detected two major and two minor QTLs for PHS tolerance in a segregating population developed from a cross between the PHS-tolerant 'Kyukei 29' and the self-compatible susceptible 'Kyukei SC7'. We found different major and minor QTLs in other segregating populations developed from the PHS-tolerant lines 'Kyukei 28' and 'NARO-FE-1'. Candidate markers linked to PHS developed by NGS-BSA were located near these QTL regions. We also investigated the effectiveness of markers linked to these QTLs for selection of PHS-tolerant lines among other segregating populations. CONCLUSIONS We efficiently developed genetic maps using a method combined with AmpliSeq technology and NGS-BSA, and detected QTLs associated with preharvest sprouting tolerance in common buckwheat. This is the first report to identify QTLs for PHS tolerance in buckwheat. Our marker development system will accelerate genetic research and breeding in common buckwheat.
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Affiliation(s)
- Ryoma Takeshima
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai 3-1-3, Tsukuba, Ibaraki, 305-8518, Japan
| | - Eri Ogiso-Tanaka
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai 3-1-3, Tsukuba, Ibaraki, 305-8518, Japan
| | - Yasuo Yasui
- Graduate School of Agriculture, Kyoto University, Kitasirakawa Oiwake-Cho, Sakyou-ku, Kyoto, 606-8501, Japan
| | - Katsuhiro Matsui
- Institute of Crop Science, National Agriculture and Food Research Organization (NARO), Kannondai 3-1-3, Tsukuba, Ibaraki, 305-8518, Japan.
- Graduate School of Life and Environmental Science, University of Tsukuba, Kannondai 3-1-3, Tsukuba, Ibaraki, 305-8518, Japan.
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29
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Liu PL, Zhang X, Mao JF, Hong YM, Zhang RG, E Y, Nie S, Jia K, Jiang CK, He J, Shen W, He Q, Zheng W, Abbas S, Jewaria PK, Tian X, Liu CJ, Jiang X, Yin Y, Liu B, Wang L, Jin B, Ma Y, Qiu Z, Baluška F, Šamaj J, He X, Niu S, Xie J, Xie L, Xu H, Kong H, Ge S, Dixon RA, Jiao Y, Lin J. The Tetracentron genome provides insight into the early evolution of eudicots and the formation of vessel elements. Genome Biol 2020; 21:291. [PMID: 33267872 DOI: 10.1186/s13059-020-02198-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 11/06/2020] [Indexed: 12/25/2022] Open
Abstract
Background Tetracentron sinense is an endemic and endangered deciduous tree. It belongs to the Trochodendrales, one of four early diverging lineages of eudicots known for having vesselless secondary wood. Sequencing and resequencing of the T. sinense genome will help us understand eudicot evolution, the genetic basis of tracheary element development, and the genetic diversity of this relict species. Results Here, we report a chromosome-scale assembly of the T. sinense genome. We assemble the 1.07 Gb genome sequence into 24 chromosomes and annotate 32,690 protein-coding genes. Phylogenomic analyses verify that the Trochodendrales and core eudicots are sister lineages and showed that two whole-genome duplications occurred in the Trochodendrales approximately 82 and 59 million years ago. Synteny analyses suggest that the γ event, resulting in paleohexaploidy, may have only happened in core eudicots. Interestingly, we find that vessel elements are present in T. sinense, which has two orthologs of AtVND7, the master regulator of vessel formation. T. sinense also has several key genes regulated by or regulating TsVND7.2 and their regulatory relationship resembles that in Arabidopsis thaliana. Resequencing and population genomics reveals high levels of genetic diversity of T. sinense and identifies four refugia in China. Conclusions The T. sinense genome provides a unique reference for inferring the early evolution of eudicots and the mechanisms underlying vessel element formation. Population genomics analysis of T. sinense reveals its genetic diversity and geographic structure with implications for conservation. Supplementary information The online version contains supplementary material available at 10.1186/s13059-020-02198-7.
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Wilkey AP, Brown AV, Cannon SB, Cannon EKS. GCViT: a method for interactive, genome-wide visualization of resequencing and SNP array data. BMC Genomics 2020; 21:822. [PMID: 33228531 PMCID: PMC7686774 DOI: 10.1186/s12864-020-07217-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 11/09/2020] [Indexed: 01/07/2023] Open
Abstract
Background Large genotyping datasets have become commonplace due to efficient, cheap methods for SNP identification. Typical genotyping datasets may have thousands to millions of data points per accession, across tens to thousands of accessions. There is a need for tools to help rapidly explore such datasets, to assess characteristics such as overall differences between accessions and regional anomalies across the genome. Results We present GCViT (Genotype Comparison Visualization Tool), for visualizing and exploring large genotyping datasets. GCViT can be used to identify introgressions, conserved or divergent genomic regions, pedigrees, and other features for more detailed exploration. The program can be used online or as a local instance for whole genome visualization of resequencing or SNP array data. The program performs comparisons of variants among user-selected accessions to identify allele differences and similarities between accessions and a user-selected reference, providing visualizations through histogram, heatmap, or haplotype views. The resulting analyses and images can be exported in various formats. Conclusions GCViT provides methods for interactively visualizing SNP data on a whole genome scale, and can produce publication-ready figures. It can be used in online or local installations. GCViT enables users to confirm or identify genomics regions of interest associated with particular traits. GCViT is freely available at https://github.com/LegumeFederation/gcvit. The 1.0 version described here is available at 10.5281/zenodo.4008713.
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Affiliation(s)
- Andrew P Wilkey
- ORISE Fellow, USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011, USA
| | - Anne V Brown
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011, USA
| | - Steven B Cannon
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011, USA
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Jansson E, Besnier F, Malde K, André C, Dahle G, Glover KA. Genome wide analysis reveals genetic divergence between Goldsinny wrasse populations. BMC Genet 2020; 21:118. [PMID: 33036553 PMCID: PMC7547435 DOI: 10.1186/s12863-020-00921-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 09/24/2020] [Indexed: 12/11/2022] Open
Abstract
Background Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse (Ctenolabrus rupestris) is a heavily exploited species due to its importance as a cleaner-fish in commercial salmonid aquaculture. However, at the present, the population genetic structure of this species is still largely unresolved. Here, full-genome sequencing was used to produce the first genomic reference for this species, to study population-genomic divergence among four geographically distinct populations, and, to identify informative SNP markers for future studies. Results After construction of a de novo assembly, the genome was estimated to be highly polymorphic and of ~600Mbp in size. 33,235 SNPs were thereafter selected to assess genomic diversity and differentiation among four populations collected from Scandinavia, Scotland, and Spain. Global FST among these populations was 0.015–0.092. Approximately 4% of the investigated loci were identified as putative global outliers, and ~ 1% within Scandinavia. SNPs showing large divergence (FST > 0.15) were picked as candidate diagnostic markers for population assignment. One hundred seventy-three of the most diagnostic SNPs between the two Scandinavian populations were validated by genotyping 47 individuals from each end of the species’ Scandinavian distribution range. Sixty-nine of these SNPs were significantly (p < 0.05) differentiated (mean FST_173_loci = 0.065, FST_69_loci = 0.140). Using these validated SNPs, individuals were assigned with high probability (≥ 94%) to their populations of origin. Conclusions Goldsinny wrasse displays a highly polymorphic genome, and substantial population genomic structure. Diversifying selection likely affects population structuring globally and within Scandinavia. The diagnostic loci identified now provide a promising and cost-efficient tool to investigate goldsinny wrasse populations further.
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Affiliation(s)
- Eeva Jansson
- Institute of Marine Research, P. O. Box 1870, Nordnes, 5817, Bergen, Norway.
| | - Francois Besnier
- Institute of Marine Research, P. O. Box 1870, Nordnes, 5817, Bergen, Norway
| | - Ketil Malde
- Institute of Marine Research, P. O. Box 1870, Nordnes, 5817, Bergen, Norway
| | - Carl André
- Department of Marine Sciences-Tjärnö, University of Gothenburg, 45296, Strömstad, Sweden
| | - Geir Dahle
- Institute of Marine Research, P. O. Box 1870, Nordnes, 5817, Bergen, Norway
| | - Kevin A Glover
- Institute of Marine Research, P. O. Box 1870, Nordnes, 5817, Bergen, Norway.,Institute of Biology, University of Bergen, P. O. Box 7803, 5020, Bergen, Norway
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Sun T, Huang GY, Wang ZH, Teng SH, Cao YH, Sun JL, Hanif Q, Chen NB, Lei CZ, Liao YY. Selection signatures of Fuzhong Buffalo based on whole-genome sequences. BMC Genomics 2020; 21:674. [PMID: 32993537 PMCID: PMC7526191 DOI: 10.1186/s12864-020-07095-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 09/23/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Fuzhong buffalo, a native breed of Guangxi Zhuang Autonomous Region, is traditionally used as a draft animal to provide farm power in the rice cultivation. In addition, the Fuzhong buffalo also prepared for the bullfighting festival organized by the locals. The detection of the selective signatures in its genome can help in elucidating the selection mechanisms in its stamina and muscle development of a draft animal. RESULTS In this study, we analyzed 27 whole genomes of buffalo (including 15 Fuzhong buffalo genomes and 12 published buffalo genomes from Upper Yangtze region). The ZHp, ZFst, π-Ratio, and XP-EHH statistics were used to identify the candidate signatures of positive selection in Fuzhong buffalo. Our results detected a set of candidate genes involving in the pathways and GO terms associated with the response to exercise (e.g., ALDOA, STAT3, AKT2, EIF4E2, CACNA2D2, TCF4, CDH2), immunity (e.g., PTPN22, NKX2-3, PIK3R1, ITK, TMEM173), nervous system (e.g., PTPN21, ROBO1, HOMER1, MAGI2, SLC1A3, NRG3, SNAP47, CTNNA2, ADGRL3). In addition, we also identified several genes related to production and growth traits (e.g., PHLPP1, PRKN, MACF1, UCN3, RALGAPA1, PHKB, PKD1L). Our results depicted several pathways, GO terms, and candidate genes to be associated with response to exercise, immunity, nervous system, and growth traits. CONCLUSIONS The selective sweep analysis of the Fuzhong buffalo demonstrated positive selection pressure on potential target genes involved in behavior, immunity, and growth traits, etc. Our findings provided a valuable resource for future research on buffalo breeding and an insight into the mechanisms of artificial selection.
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Affiliation(s)
- Ting Sun
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China.,College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Guang-Yun Huang
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China
| | - Zi-Hao Wang
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China
| | - Shao-Hua Teng
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China
| | - Yan-Hong Cao
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China
| | - Jun-Li Sun
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China
| | - Quratulain Hanif
- Computational Biology Laboratory, Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan.,Department of Biotechnology, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan
| | - Ning-Bo Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Chu-Zhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China.
| | - Yu-Ying Liao
- Animal Husbandry Institute of Guangxi Zhuang Autonomous Region, Guangxi Key Laboratory of Livestock Genetic Improvement, Nanning, 530001, China.
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Wang L, Sun Y, Sun X, Yu L, Xue L, He Z, Huang J, Tian D, Hurst LD, Yang S. Repeat-induced point mutation in Neurospora crassa causes the highest known mutation rate and mutational burden of any cellular life. Genome Biol 2020; 21:142. [PMID: 32546205 PMCID: PMC7296669 DOI: 10.1186/s13059-020-02060-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 05/27/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Repeat-induced point (RIP) mutation in Neurospora crassa degrades transposable elements by targeting repeats with C→T mutations. Whether RIP affects core genomic sequence in important ways is unknown. RESULTS By parent-offspring whole genome sequencing, we estimate a mutation rate (3.38 × 10-6 per bp per generation) that is two orders of magnitude higher than reported for any non-viral organism, with 93-98% of mutations being RIP-associated. RIP mutations are, however, relatively rare in coding sequence, in part because RIP preferentially attacks GC-poor long duplicates that interact in three dimensional space, while coding sequence duplicates are rare, GC-rich, short, and tend not to interact. Despite this, with over 5 coding sequence mutations per genome per generation, the mutational burden is an order of magnitude higher than the previously highest observed. Unexpectedly, the majority of these coding sequence mutations appear not to be the direct product of RIP being mostly in non-duplicate sequence and predominantly not C→T mutations. Nonetheless, RIP-deficient strains have over an order of magnitude fewer coding sequence mutations outside of duplicated domains than RIP-proficient strains. CONCLUSIONS Neurospora crassa has the highest mutation rate and mutational burden of any non-viral life. While the high rate is largely due to the action of RIP, the mutational burden appears to be RIP-associated but not directly caused by RIP.
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Affiliation(s)
- Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Yingying Sun
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Xiaoguang Sun
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Luyao Yu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Lan Xue
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Zhen He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Ju Huang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Dacheng Tian
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Laurence D Hurst
- Department of Biology and Biochemistry, The Milner Centre for Evolution, University of Bath, Bath, UK.
| | - Sihai Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China.
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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Liu H, Sun Z, Zhang X, Qin L, Qi F, Wang Z, Du P, Xu J, Zhang Z, Han S, Li S, Gao M, Zhang L, Cheng Y, Zheng Z, Huang B, Dong W. QTL mapping of web blotch resistance in peanut by high-throughput genome-wide sequencing. BMC Plant Biol 2020; 20:249. [PMID: 32493219 PMCID: PMC7268717 DOI: 10.1186/s12870-020-02455-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 05/21/2020] [Indexed: 06/08/2023]
Abstract
BACKGROUND Web blotch is one of the most important foliar diseases worldwide in peanut (Arachis hypogaea L.). The identification of quantitative trait loci (QTLs) for peanut web blotch resistance represents the basis for gene mining and the application of molecular breeding technologies. RESULTS In this study, a peanut recombinant inbred line (RIL) population was used to map QTLs for web blotch resistance based on high-throughput genome-wide sequencing. Frequency distributions of disease grade and disease index in five environments indicated wide phenotypic variations in response to web blotch among RILs. A high-density genetic map was constructed, containing 3634 bin markers distributed on 20 peanut linkage groups (LGs) with an average genetic distance of 0.5 cM. In total, eight QTLs were detected for peanut web blotch resistance in at least two environments, explaining from 2.8 to 15.1% of phenotypic variance. Two major QTLs qWBRA04 and qWBRA14 were detected in all five environments and were linked to 40 candidate genes encoding nucleotide-binding site leucine-rich repeat (NBS-LRR) or other proteins related to disease resistances. CONCLUSIONS The results of this study provide a basis for breeding peanut cultivars with web blotch resistance.
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Affiliation(s)
- Hua Liu
- College of Agronomy, Shenyang Agricultural University, Shenyang, 110866, PR China
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Ziqi Sun
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Xinyou Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China.
| | - Li Qin
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Feiyan Qi
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Zhenyu Wang
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, PR China
| | - Pei Du
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Jing Xu
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Zhongxin Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Suoyi Han
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Shaojian Li
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, PR China
| | - Meng Gao
- Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, PR China
| | - Lina Zhang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Yujie Cheng
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Zheng Zheng
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Bingyan Huang
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
| | - Wenzhao Dong
- Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture and Rural Affairs / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou, 450002, PR China
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Tong Z, Zhou J, Xiu Z, Jiao F, Hu Y, Zheng F, Chen X, Li Y, Fang D, Li S, Wu X, Zeng J, Zhao S, Jian J, Xiao B. Construction of a high-density genetic map with whole genome sequencing in Nicotiana tabacum L. Genomics 2020; 112:2028-2033. [PMID: 31760041 DOI: 10.1016/j.ygeno.2019.11.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 09/23/2019] [Accepted: 11/19/2019] [Indexed: 10/25/2022]
Abstract
Tobacco (Nicotiana tabacum L.) is an essential commercial crop and an ideal model plant for biological mechanism studies. As an allopolyploid species, tobacco harbors a massive and complex genome, which makes the application of molecular markers complicated and challenging. In our study, we performed whole-genome sequencing of an intraspecific recombinant inbred line (RIL) population, a F1 generation and their parents. With the Nicotiana tabacum (K326 cultivar) genome as reference, a total of 45,081 markers were characterized to construct the genetic map, which spanned a genetic distance of 3486.78 cM. Evaluation of a two-dimensional heat map proved the high quality of the genetic map. We utilized these markers to anchor scaffolds and analyzed the ancestral genome origin of linkage groups (LGs). Furthermore, such a high-density genetic map will be applied for quantitative trait locus (QTL) detection, gene localization, genome-wide association studies (GWAS), and marker-assisted breeding in tobacco.
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Affiliation(s)
- Zhijun Tong
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Juhong Zhou
- BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, 518083, People's Republic of China.
| | - Zhihui Xiu
- BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, 518083, People's Republic of China.
| | - Fangchan Jiao
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Yafei Hu
- BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, 518083, People's Republic of China.
| | - Fengya Zheng
- BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, 518083, People's Republic of China.
| | - Xuejun Chen
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Yanli Li
- Joint Institute of Tobacco Molecular Breeding, People's Republic of China.
| | - Dunhuang Fang
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Shiming Li
- Joint Institute of Tobacco Molecular Breeding, People's Republic of China.
| | - Xingfu Wu
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Jianmin Zeng
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
| | - Shancen Zhao
- Joint Institute of Tobacco Molecular Breeding, People's Republic of China.
| | - Jianbo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen, Guangdong, 518083, People's Republic of China.
| | - Bingguang Xiao
- Key Laboratory of Tobacco Biotechnological Breeding, National Tobacco Genetic Engineering Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan 650021, People's Republic of China.
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Casoli T, Lisa R, Fabbietti P, Conti F. Analysis of mitochondrial DNA allelic changes in Parkinson's disease: a preliminary study. Aging Clin Exp Res 2020; 32:345-349. [PMID: 30982219 DOI: 10.1007/s40520-019-01197-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 04/05/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Mitochondrial DNA (mtDNA) mutations are considered as a possible primary cause of age-associated neurodegenerative disorders like Parkinson's disease (PD). AIMS To analyze, along the whole mtDNA sequence of PD patients, the presence of non-reference alleles compared to reference alleles, as defined in the revised Cambridge Reference Sequence (rCRS). METHODS mtDNA was extracted from whole blood of PD and control groups, and was sequenced using a chip-based resequencing system. RESULTS 58 nucleotide positions (np) exhibited a different allelic distribution in the two groups; in 81% of them the non-reference alleles were over-represented in PD patients, similar to findings reported in patients with Alzheimer's disease, albeit in reduced proportion. Closer analysis of the 58 np in PD group showed that they were characterized by low-level heteroplasmy, and that the nucleotide substitutions determined an amino acid change in 84% of cases. CONCLUSIONS These results suggest that mtDNA allelic changes are increased in PD and that age-related neurodegenerative diseases could share a common mechanism involving mtDNA.
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Affiliation(s)
- Tiziana Casoli
- Center for Neurobiology of Aging, IRCCS INRCA, Via Birarelli 8, 60121, Ancona, Italy.
| | | | - Paolo Fabbietti
- Diagnostic Unit of Geriatric Pharmacoepidemiology, IRCCS INRCA, Cosenza, Italy
| | - Fiorenzo Conti
- Center for Neurobiology of Aging, IRCCS INRCA, Via Birarelli 8, 60121, Ancona, Italy
- Section of Neuroscience and Cell Biology, Department of Experimental and Clinical Medicine, Università Politecnica Delle Marche, Ancona, Italy
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Abstract
Legumes (Fabaceae) are agronomically and economically one of the most important crops. Because legumes serve as a source of food, feed, and industrial materials, many studies in the field of legume genomics, including genome sequencing, have been conducted over the last decade. Here, we update the progress in genome sequencing of legume crops, including soybean (Glycine max [L.] Merr.), mung bean (V. radiata var. radiata), adzuki bean (V. angularis var. angularis), common bean (Phaseolus vulgaris L.), pigeon pea (Cajanus cajan), chickpea (Cicer arietinum), and peanut (Arachis hypogaea). Since the publication of the first reference genome sequence of each species, many accessions have been resequenced to study genetic diversity, speciation, and polyploidization in the legume lineage.
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Affiliation(s)
- Jungmin Ha
- Department of Plant Science and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- Plant Genomics and Breeding Institute, Seoul National University, Seoul, Republic of Korea
| | - Suk-Ha Lee
- Department of Plant Science and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
- Plant Genomics and Breeding Institute, Seoul National University, Seoul, Republic of Korea.
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Vendrell-Mir P, Barteri F, Merenciano M, González J, Casacuberta JM, Castanera R. A benchmark of transposon insertion detection tools using real data. Mob DNA 2019; 10:53. [PMID: 31892957 PMCID: PMC6937713 DOI: 10.1186/s13100-019-0197-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 12/17/2019] [Indexed: 02/01/2023] Open
Abstract
Background Transposable elements (TEs) are an important source of genomic variability in eukaryotic genomes. Their activity impacts genome architecture and gene expression and can lead to drastic phenotypic changes. Therefore, identifying TE polymorphisms is key to better understand the link between genotype and phenotype. However, most genotype-to-phenotype analyses have concentrated on single nucleotide polymorphisms as they are easier to reliable detect using short-read data. Many bioinformatic tools have been developed to identify transposon insertions from resequencing data using short reads. Nevertheless, the performance of most of these tools has been tested using simulated insertions, which do not accurately reproduce the complexity of natural insertions. Results We have overcome this limitation by building a dataset of insertions from the comparison of two high-quality rice genomes, followed by extensive manual curation. This dataset contains validated insertions of two very different types of TEs, LTR-retrotransposons and MITEs. Using this dataset, we have benchmarked the sensitivity and precision of 12 commonly used tools, and our results suggest that in general their sensitivity was previously overestimated when using simulated data. Our results also show that, increasing coverage leads to a better sensitivity but with a cost in precision. Moreover, we found important differences in tool performance, with some tools performing better on a specific type of TEs. We have also used two sets of experimentally validated insertions in Drosophila and humans and show that this trend is maintained in genomes of different size and complexity. Conclusions We discuss the possible choice of tools depending on the goals of the study and show that the appropriate combination of tools could be an option for most approaches, increasing the sensitivity while maintaining a good precision.
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Affiliation(s)
- Pol Vendrell-Mir
- 1Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Bellaterra, 08193 Barcelona, Spain
| | - Fabio Barteri
- 1Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Bellaterra, 08193 Barcelona, Spain
| | - Miriam Merenciano
- 2Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Maritim Barceloneta 37-49, 08003 Barcelona, Spain
| | - Josefa González
- 2Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Maritim Barceloneta 37-49, 08003 Barcelona, Spain
| | - Josep M Casacuberta
- 1Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Bellaterra, 08193 Barcelona, Spain
| | - Raúl Castanera
- 1Centre for Research in Agricultural Genomics CSIC-IRTA-UAB-UB, Campus UAB, Edifici CRAG, Bellaterra, 08193 Barcelona, Spain
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Yin H, Li D, Wang Y, Zhu Q. Whole-genome resequencing analysis of Pengxian Yellow Chicken to identify genome-wide SNPs and signatures of selection. 3 Biotech 2019; 9:383. [PMID: 31656721 DOI: 10.1007/s13205-019-1902-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 09/16/2019] [Indexed: 12/16/2022] Open
Abstract
Chinese indigenous chickens have experienced strong selective pressure in genes or genomic regions controlling critical agricultural traits. To exploit the genetic features that may be useful in agriculture and are caused by artificial selection, we performed whole-genome sequencing of six Pengxian Yellow Chickens and downloaded the sequence data of five Red Jungle fowls from the NCBI. Through selective sweep analysis, we detected several regions with strong selection signals, containing 497 protein-coding genes. These genes were involved in developmental processes, metabolic processes, the response to external stimuli and other biological processes including digestion (ABCG5, ABCG8 and ADRB1), muscle development and growth (SMPD3, NELL1, and BICC1) and reduced immune function (CD86 and MTA3). Interestingly, we identified several genes with extremely strong selection signals associated with the loss of visual capability of domestic chickens relative to their wild ancestors. Amongst them, we propose that CTNND2 is involved in the evolutionary changes of domestic chickens toward reduced visual ability through the diopter system. VAT1 was also likely to contribute to these processes through its regulation of mitochondrial fusion. In summary, these data illustrate the patterns of genetic changes in Pengxian yellow chickens during domestication and provide valuable genetic resources that facilitate the utilization of chickens in agricultural production.
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Valgaeren H, Sommen M, Beyens M, Vandeweyer G, Schrauwen I, Schepers A, Schatteman I, Topsakal V, Dhooge I, Kunst H, Zanetti D, Huber AM, Hoischen A, Fransen E, Van Camp G. Insufficient evidence for a role of SERPINF1 in otosclerosis. Mol Genet Genomics 2019; 294:1001-6. [PMID: 30968248 DOI: 10.1007/s00438-019-01558-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 04/01/2019] [Indexed: 12/12/2022]
Abstract
Otosclerosis is a common form of hearing loss (HL) due to abnormal remodeling of the otic capsule. The genetic causes of otosclerosis remain largely unidentified. Only mutations in a single gene, SERPINF1, were previously published in patients with familial otosclerosis. To unravel the contribution of genetic variation in this gene to otosclerosis, this gene was re-sequenced in a large population of otosclerosis patients and controls. Resequencing of the 5' and 3' UTRs, coding regions, and exon-intron boundaries of SERPINF1 was performed in 1604 unrelated otosclerosis patients and 1538 unscreened controls, and in 62 large otosclerosis families. Our study showed no enrichment of rare variants, stratified by type, in SERPINF1 in patients versus controls. Furthermore, the c.392C > A (p.Ala131Asp) variant, previously reported as pathogenic, was identified in three patients and four controls, not replicating its pathogenic nature. We could also not find evidence for a pathogenic role in otosclerosis for 5' UTR variants in the SERPINF1-012 transcript (ENST00000573763), described as the major transcript in human stapes. Furthermore, no rare variants were identified in the otosclerosis families. This study does not support a pathogenic role for variants in SERPINF1 as a cause of otosclerosis. Therefore, the etiology of the disease remains largely unknown and will undoubtedly be the focus of future studies.
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Francis F, Dumas MD, Davis SB, Wisser RJ. Clustering of circular consensus sequences: accurate error correction and assembly of single molecule real-time reads from multiplexed amplicon libraries. BMC Bioinformatics 2018; 19:302. [PMID: 30126356 PMCID: PMC6102811 DOI: 10.1186/s12859-018-2293-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 07/20/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Targeted resequencing with high-throughput sequencing (HTS) platforms can be used to efficiently interrogate the genomes of large numbers of individuals. A critical issue for research and applications using HTS data, especially from long-read platforms, is error in base calling arising from technological limits and bioinformatic algorithms. We found that the community standard long amplicon analysis (LAA) module from Pacific Biosciences is prone to substantial bioinformatic errors that raise concerns about findings based on this pipeline, prompting the need for a new method. RESULTS A single molecule real-time (SMRT) sequencing-error correction and assembly pipeline, C3S-LAA, was developed for libraries of pooled amplicons. By uniquely leveraging the structure of SMRT sequence data (comprised of multiple low quality subreads from which higher quality circular consensus sequences are formed) to cluster raw reads, C3S-LAA produced accurate consensus sequences and assemblies of overlapping amplicons from single sample and multiplexed libraries. In contrast, despite read depths in excess of 100X per amplicon, the standard long amplicon analysis module from Pacific Biosciences generated unexpected numbers of amplicon sequences with substantial inaccuracies in the consensus sequences. A bootstrap analysis showed that the C3S-LAA pipeline per se was effective at removing bioinformatic sources of error, but in rare cases a read depth of nearly 400X was not sufficient to overcome minor but systematic errors inherent to amplification or sequencing. CONCLUSIONS C3S-LAA uses a divide and conquer processing algorithm for SMRT amplicon-sequence data that generates accurate consensus sequences and local sequence assemblies. Solving the confounding bioinformatic source of error in LAA allowed for the identification of limited instances of errors due to DNA amplification or sequencing of homopolymeric nucleotide tracts. For research and development in genomics, C3S-LAA allows meaningful conclusions and biological inferences to be made from accurately polished sequence output.
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Affiliation(s)
- Felix Francis
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716, USA.,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, 19714, USA
| | - Michael D Dumas
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716, USA
| | - Scott B Davis
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716, USA
| | - Randall J Wisser
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware, 19716, USA. .,Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, 19714, USA.
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Abstract
Whole-genome resequencing is a method for determining the differences between individuals and a reference genome. The experiments are performed by sequencing the individuals, aligning generated reads to a common reference and discovering variation within the data set by analysis of the alignment with software tools. When correlated with phenotypic information, sites of causative genomic variation may be putatively assigned.While the analysis is generally straightforward, there are many nuances, and we aim to help you understand how to generate an initial result, sift through it to identify likely candidates for a phenotype of interest, and flag false positive calls.
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Affiliation(s)
- Joel Martin
- United States Department of Energy Joint Genome Institute, Walnut Creek, CA, USA.
| | - Wendy Schackwitz
- United States Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Anna Lipzen
- United States Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
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Ji H, Kim TH, Lee GS, Kang HJ, Lee SB, Suh SC, Kim SL, Choi I, Baek J, Kim KH. Mapping of a major quantitative trait locus for bakanae disease resistance in rice by genome resequencing. Mol Genet Genomics 2018; 293:579-86. [PMID: 29230584 DOI: 10.1007/s00438-017-1407-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 12/07/2017] [Indexed: 01/25/2023]
Abstract
Bakanae disease (BD) has emerged as a serious threat in almost all rice cultivation regions worldwide. Nampyeong is a Korean japonica rice variety known to be resistant to BD. In this study, quantitative trait locus (QTL) mapping was performed with F2 and F3 plants derived from a cross between the Nampyeong variety and a susceptible Korean japonica line, DongjinAD. First, resequencing of Nampyeong and DongjinAD was performed, which identified 171,035 single nucleotide polymorphisms (SNPs) between the two parental varieties. Using these SNPs, 161 cleaved amplified polymorphic sequence (CAPS) markers and six derived CAPS markers were developed; then, a genetic map was constructed from the genotypes of 180 plants from the DongjinAD/Nampyeong F2 plants. The total length of the constructed genetic map was 1386 cM, with an average interval of 8.9 cM between markers. The BD mortality rates of each F3 family were measured by testing 40 F3 progenies using in vitro seedling screening method. QTL analysis based on the genetic map and mortality rate data revealed a major QTL, qFfR1, on rice chromosome 1. qFfR1 was located at 89.8 cM with a logarithm of the odds (LOD) score of 22.7. Further, there were three markers at this point: JNS01033, JNS01037, and JNS01041. A total of 15 genes were identified with annotations related to defense against plant diseases among the 179 genes in the qFfR1 interval at 95% probability, thereby providing potential candidate genes for qFfR1. qFfR1 and its closely linked markers will be useful in breeding rice varieties resistant to BD.
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Yuan Y, Zhang Q, Zeng S, Gu L, Si W, Zhang X, Tian D, Yang S, Wang L. Selective sweep with significant positive selection serves as the driving force for the differentiation of japonica and indica rice cultivars. BMC Genomics 2017; 18:307. [PMID: 28420345 PMCID: PMC5395770 DOI: 10.1186/s12864-017-3702-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 04/08/2017] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Asian cultivated rice (Oryza sativa L.), including japonica and indica, is unarguable the most important crop in Asia as well as worldwide. However, a decisive conclusion of its origination and domestication processes are still lacking. Nowadays, the ever-increasing high-throughput sequencing data of numerous rice samples have provided us new opportunities to get close to the answer of these questions. RESULTS By compiling 296 whole-genome sequenced rice cultivars and 39 diverse wild rice, two types of domesticated regions (DR-I and DR-II) with strong selective sweep signals between different groups were detected. DR-I regions included 28 blocks which significantly differentiated between japonica and indica subspecies, while DR-II regions were consisted of another 28 blocks which significantly differentiated between wild and cultivated rice, each covered 890 kb and 640 kb, respectively. In-depth analysis suggested that both DR-Is and DR-IIs could have originated from Indo-China Peninsula to southern China, and DR-IIs might be introgressed from indica to japonica. Functional bias with significant positive selection has also been detected in the genes of DR-I, suggesting important role of the selective sweep in differentiation of japonica and indica. CONCLUSIONS This research promoted a new possible model of the origin of the cultivated rice that DR-Is in japonica and indica maybe independently originated from the divergent wild rice in the Indo-China Peninsula to southern China, and then followed by frequent introgression. Genes with significant positive selection and biased functions were also detected which could play important roles in rice domestication and differentiation processes.
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Affiliation(s)
- Yang Yuan
- The Applied Plant Genomics Laboratory, College of Agricultural Sciences, Nanjing Agricultural University, Nanjing, 210095, China
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Qijun Zhang
- Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China
| | - Shuiyun Zeng
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Longjiang Gu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Weina Si
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Xiaohui Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Dacheng Tian
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China
| | - Sihai Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China.
| | - Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, China.
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Fang L, Gong H, Hu Y, Liu C, Zhou B, Huang T, Wang Y, Chen S, Fang DD, Du X, Chen H, Chen J, Wang S, Wang Q, Wan Q, Liu B, Pan M, Chang L, Wu H, Mei G, Xiang D, Li X, Cai C, Zhu X, Chen ZJ, Han B, Chen X, Guo W, Zhang T, Huang X. Genomic insights into divergence and dual domestication of cultivated allotetraploid cottons. Genome Biol 2017; 18:33. [PMID: 28219438 PMCID: PMC5317056 DOI: 10.1186/s13059-017-1167-5] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Accepted: 02/06/2017] [Indexed: 11/10/2022] Open
Abstract
Background Cotton has been cultivated and used to make fabrics for at least 7000 years. Two allotetraploid species of great commercial importance, Gossypium hirsutum and Gossypium barbadense, were domesticated after polyploidization and are cultivated worldwide. Although the overall genetic diversity between these two cultivated species has been studied with limited accessions, their population structure and genetic variations remain largely unknown. Results We resequence the genomes of 147 cotton accessions, including diverse wild relatives, landraces, and modern cultivars, and construct a comprehensive variation map to provide genomic insights into the divergence and dual domestication of these two important cultivated tetraploid cotton species. Phylogenetic analysis shows two divergent groups for G. hirsutum and G. barbadense, suggesting a dual domestication processes in tetraploid cottons. In spite of the strong genetic divergence, a small number of interspecific reciprocal introgression events are found between these species and the introgression pattern is significantly biased towards the gene flow from G. hirsutum into G. barbadense. We identify selective sweeps, some of which are associated with relatively highly expressed genes for fiber development and seed germination. Conclusions We report a comprehensive analysis of the evolution and domestication history of allotetraploid cottons based on the whole genomic variation between G. hirsutum and G. barbadense and between wild accessions and modern cultivars. These results provide genomic bases for improving cotton production and for further evolution analysis of polyploid crops. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1167-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lei Fang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Hao Gong
- National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yan Hu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Chunxiao Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Baoliang Zhou
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Tao Huang
- National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Yangkun Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuqi Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
| | - Xiongming Du
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China
| | - Hong Chen
- Cotton Research Institute, Xinjiang Academy of Agriculture and Reclamation Sciences, Xinjiang, 832000, China
| | - Jiedan Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Sen Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Qiong Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Qun Wan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Bingliang Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Mengqiao Pan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Lijing Chang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Huaitong Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Gaofu Mei
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Dan Xiang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Xinghe Li
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Caiping Cai
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Xiefei Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Z Jeffrey Chen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China.,Department of Molecular Biosciences, Center for Computational Biology and Bioinformatics, and Institute for Cellular and Molecular Biology, the University of Texas at Austin, Austin, TX, 78712, USA
| | - Bin Han
- National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Xiaoya Chen
- State Key Laboratory of Plant Molecular Genetics, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Wangzhen Guo
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China
| | - Tianzhen Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), Nanjing Agricultural University, Nanjing, 210095, China. .,Agronomy Department, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, 310029, China.
| | - Xuehui Huang
- National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China. .,College of life and environmental sciences, Shanghai Normal University, Shanghai, 200234, China.
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Chen J, Wrightsman TR, Wessler SR, Stajich JE. RelocaTE2: a high resolution transposable element insertion site mapping tool for population resequencing. PeerJ 2017; 5:e2942. [PMID: 28149701 PMCID: PMC5274521 DOI: 10.7717/peerj.2942] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 12/26/2016] [Indexed: 12/26/2022] Open
Abstract
Background Transposable element (TE) polymorphisms are important components of population genetic variation. The functional impacts of TEs in gene regulation and generating genetic diversity have been observed in multiple species, but the frequency and magnitude of TE variation is under appreciated. Inexpensive and deep sequencing technology has made it affordable to apply population genetic methods to whole genomes with methods that identify single nucleotide and insertion/deletion polymorphisms. However, identifying TE polymorphisms, particularly transposition events or non-reference insertion sites can be challenging due to the repetitive nature of these sequences, which hamper both the sensitivity and specificity of analysis tools. Methods We have developed the tool RelocaTE2 for identification of TE insertion sites at high sensitivity and specificity. RelocaTE2 searches for known TE sequences in whole genome sequencing reads from second generation sequencing platforms such as Illumina. These sequence reads are used as seeds to pinpoint chromosome locations where TEs have transposed. RelocaTE2 detects target site duplication (TSD) of TE insertions allowing it to report TE polymorphism loci with single base pair precision. Results and Discussion The performance of RelocaTE2 is evaluated using both simulated and real sequence data. RelocaTE2 demonstrate high level of sensitivity and specificity, particularly when the sequence coverage is not shallow. In comparison to other tools tested, RelocaTE2 achieves the best balance between sensitivity and specificity. In particular, RelocaTE2 performs best in prediction of TSDs for TE insertions. Even in highly repetitive regions, such as those tested on rice chromosome 4, RelocaTE2 is able to report up to 95% of simulated TE insertions with less than 0.1% false positive rate using 10-fold genome coverage resequencing data. RelocaTE2 provides a robust solution to identify TE insertion sites and can be incorporated into analysis workflows in support of describing the complete genotype from light coverage genome sequencing.
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Affiliation(s)
- Jinfeng Chen
- Department of Plant Pathology & Microbiology, University of California, Riverside, CA, United States; Institute for Integrative Genome Biology, University of California, Riverside, CA, United States; Department of Botany and Plant Sciences, University of California, Riverside, CA, United States
| | - Travis R Wrightsman
- Department of Botany and Plant Sciences, University of California , Riverside , CA , United States
| | - Susan R Wessler
- Institute for Integrative Genome Biology, University of California, Riverside, CA, United States; Department of Botany and Plant Sciences, University of California, Riverside, CA, United States
| | - Jason E Stajich
- Department of Plant Pathology & Microbiology, University of California, Riverside, CA, United States; Institute for Integrative Genome Biology, University of California, Riverside, CA, United States
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Xu Q, Xu X, Shi Y, Qi X, Chen X. Elucidation of the molecular responses of a cucumber segment substitution line carrying Pm5.1 and its recurrent parent triggered by powdery mildew by comparative transcriptome profiling. BMC Genomics 2017; 18:21. [PMID: 28056792 PMCID: PMC5217421 DOI: 10.1186/s12864-016-3438-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 12/19/2016] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Powdery mildew (PM) is one of the most severe fungal diseases of cucurbits, but the molecular mechanisms underlying PM resistance in cucumber remain elusive. In this study, we developed a PM resistant segment substitution line SSL508-28 that carried a segment on chromosome five representing the Pm5.1 locus from PM resistant donor Jin5-508 using marker-assisted backcrossing of an elite PM susceptible cucumber inbred line D8. RESULTS Whole-genome resequencing of SSL508-28, Jin5-508 and D8 was performed to identify the exact boundaries of the breakpoints for this introgression because of the low density of available single sequence repeat markers. This led to the identification of a ~6.8 Mb substituted segment predicted to contain 856 genes. RNA-seq was used to study gene expression differences in PM treated (plants harvested 48 h after inoculation) and untreated (control) SSL508-28 and D8 lines. Exactly 1,248 and 1,325 differentially expressed genes (DEGs) were identified in SSL508-28 and D8, respectively. Of those, 88 DEGs were located in the ~6.8 Mb segment interval. Based on expression data and annotation, we identified 8 potential candidate genes that may participate in PM resistance afforded by Pm5.1, including two tandemly arrayed genes encoding receptor protein kinases, two transcription factors, two genes encoding remorin proteins, one gene encoding a P-type ATPase and one gene encoding a 70 kDa heat shock protein. The transcriptome data also revealed a complex regulatory network for Pm5.1-mediated PM resistance that may involve multiple signal regulators and transducers, cell wall modifications and the salicylic acid signaling pathway. CONCLUSION These findings shed light on the cucumber PM defense mechanisms mediated by Pm5.1 and provided valuable information for the fine mapping of Pm5.1 and breeding of cucumber with enhanced resistance to PM.
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Affiliation(s)
- Qiang Xu
- Department of horticulture, School of horticulture and plant protection, Yangzhou University, 48 east wenhui road, Yangzhou, Jiangsu 225009 China
| | - Xuewen Xu
- Department of horticulture, School of horticulture and plant protection, Yangzhou University, 48 east wenhui road, Yangzhou, Jiangsu 225009 China
| | - Yang Shi
- Department of horticulture, School of horticulture and plant protection, Yangzhou University, 48 east wenhui road, Yangzhou, Jiangsu 225009 China
| | - Xiaohua Qi
- Department of horticulture, School of horticulture and plant protection, Yangzhou University, 48 east wenhui road, Yangzhou, Jiangsu 225009 China
| | - Xuehao Chen
- Department of horticulture, School of horticulture and plant protection, Yangzhou University, 48 east wenhui road, Yangzhou, Jiangsu 225009 China
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Tong W, Kim TS, Park YJ. Rice Chloroplast Genome Variation Architecture and Phylogenetic Dissection in Diverse Oryza Species Assessed by Whole-Genome Resequencing. Rice (N Y) 2016; 9:57. [PMID: 27757948 PMCID: PMC5069220 DOI: 10.1186/s12284-016-0129-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 10/07/2016] [Indexed: 05/10/2023]
Abstract
BACKGROUND Chloroplast genome variations have been detected, despite its overall conserved structure, which has been valuable for plant population genetics and evolutionary studies. Here, we described chloroplast variation architecture of 383 rice accessions from diverse regions and different ecotypes, in order to mine the rice chloroplast genome variation architecture and phylogenetic. RESULTS A total of 3677 variations across the chloroplast genome were identified with an average density of 27.33 per kb, in which wild rice showing a higher variation density than cultivated groups. Chloroplast genome nucleotide diversity investigation indicated a high degree of diversity in wild rice than in cultivated rice. Genetic distance estimation revealed that African rice showed a low level of breeding and connectivity with the Asian rice, suggesting the big distinction of them. Population structure and principal component analysis revealed the existence of clear clustering of African and Asian rice, as well as the indica and japonica in Asian cultivated rice. Phylogenetic analysis based on maximum likelihood and Bayesian inference methods and the population splits test suggested and supported the independent origins of indica and japonica within Asian cultivated rice. In addition, the African cultivated rice was thought to be domesticated differently from Asian cultivated rice. CONCLUSIONS The chloroplast genome variation architecture in Asian and African rice are different, as well as within Asian or African rice. Wild rice and cultivated rice also have distinct nucleotide diversity or genetic distance. In chloroplast level, the independent origins of indica and japonica within Asian cultivated rice were suggested and the African cultivated rice was thought to be domesticated differently from Asian cultivated rice. These results will provide more candidate evidence for the further rice chloroplast genomic and evolution studies.
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Affiliation(s)
- Wei Tong
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439 Republic of Korea
| | - Tae-Sung Kim
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439 Republic of Korea
- Department of Agricultural Sciences, College of Natural Sciences, Korea National Open University, Seoul, 03087 Republic of Korea
| | - Yong-Jin Park
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, 32439 Republic of Korea
- Center for Crop Genetic Resource and Breeding (CCGRB), Kongju National University, Cheonan, 31080 Republic of Korea
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Kang YJ, Ahn YK, Kim KT, Jun TH. Resequencing of Capsicum annuum parental lines (YCM334 and Taean) for the genetic analysis of bacterial wilt resistance. BMC Plant Biol 2016; 16:235. [PMID: 27793102 PMCID: PMC5084322 DOI: 10.1186/s12870-016-0931-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 10/25/2016] [Indexed: 05/26/2023]
Abstract
BACKGROUND Bacterial wilt (BW) is a widespread plant disease that affects a broad range of dicot and monocot hosts and is particularly harmful for solanaceous plants, such as pepper, tomato, and eggplant. The pathogen responsible for BW is the soil-borne bacterium, Ralstonia solanacearum, which can adapt to diverse temperature conditions and is found in climates ranging from tropical to temperate. Resistance to BW has been detected in some pepper plant lines; however, the genomic loci and alleles that mediate this are poorly studied in this species. RESULTS We resequenced the pepper cultivars YCM344 and Taean, which are parental recombinant inbred lines (RIL) that display differential resistance phenotypes against BW, with YCM344 being highly resistant to infection with this pathogen. We identified novel single nucleotide polymorphisms (SNPs) and insertions/deletions (Indels) that are only present in both parental lines, as compared to the reference genome and further determined variations that distinguish these two cultivars from one another. We then identified potentially informative SNPs that were found in genes related to those that have been previously associated with disease resistance, such as the R genes and stress response genes. Moreover, via comparative analysis, we identified SNPs located in genomic regions that have homology to known resistance genes in the tomato genomes. CONCLUSIONS From our SNP profiling in both parental lines, we could identify SNPs that are potentially responsible for BW resistance, and practically, these may be used as markers for assisted breeding schemes using these populations. We predict that our analyses will be valuable for both better understanding the YCM334/Taean-derived populations, as well as for enhancing our knowledge of critical SNPs present in the pepper genome.
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Affiliation(s)
- Yang Jae Kang
- Plant Systems Biology, School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Yul-Kyun Ahn
- Vegetable Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration, Wanju-gun, Republic of Korea
| | - Ki-Taek Kim
- The Foundation of Agricultural Technology Commercialization and Transfer, 441‑100 Suwon, Republic of Korea
| | - Tae-Hwan Jun
- Department of Plant Bioscience, Pusan National University, Miryang, Republic of Korea
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50
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Fleming DS, Koltes JE, Fritz-Waters ER, Rothschild MF, Schmidt CJ, Ashwell CM, Persia ME, Reecy JM, Lamont SJ. Single nucleotide variant discovery of highly inbred Leghorn and Fayoumi chicken breeds using pooled whole genome resequencing data reveals insights into phenotype differences. BMC Genomics 2016; 17:812. [PMID: 27760519 PMCID: PMC5070165 DOI: 10.1186/s12864-016-3147-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 10/05/2016] [Indexed: 11/22/2022] Open
Abstract
Background Analyses of sequence variants of two distinct and highly inbred chicken lines allowed characterization of genomic variation that may be associated with phenotypic differences between breeds. These lines were the Leghorn, the major contributing breed to commercial white-egg production lines, and the Fayoumi, representative of an outbred indigenous and robust breed. Unique within- and between-line genetic diversity was used to define the genetic differences of the two breeds through the use of variant discovery and functional annotation. Results Downstream fixation test (FST) analysis and subsequent gene ontology (GO) enrichment analysis elucidated major differences between the two lines. The genes with high FST values for both breeds were used to identify enriched gene ontology terms. Over-enriched GO annotations were uncovered for functions indicative of breed-related traits of pathogen resistance and reproductive ability for Fayoumi and Leghorn, respectively. Conclusions Variant analysis elucidated GO functions indicative of breed-predominant phenotypes related to genomic variation in the lines, showing a possible link between the genetic variants and breed traits. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3147-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - J E Koltes
- Iowa State University, Ames, IA, USA.,Department of Animal Science, University of Arkansas, Fayetteville, AR, 72701, USA
| | | | | | | | - C M Ashwell
- North Carolina State University, Raleigh, NC, USA
| | - M E Persia
- Virginia Polytechnic and State University, Blacksburg, VA, USA
| | - J M Reecy
- Iowa State University, Ames, IA, USA
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