1
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Yang L, Lin X, Chen Y, Peng P, Lan Q, Zhao H, Wei H, Yin Y, Liu M. Association analysis of the sorting nexin 29 (SNX29) gene copy number variations with growth traits in Diannan small-ear (DSE) pigs. Anim Biotechnol 2024; 35:2309956. [PMID: 38315463 DOI: 10.1080/10495398.2024.2309956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
SNX29 is a potential functional gene associated with meat production traits. Previous studies have shown that SNX29 copy number variation (CNV) could be implicated with phenotype in goats. However, in Diannan small-ear (DSE) pigs, the genetic impact of SNX29 CNV on growth traits remains unclear. Therefore, this study investigated the associations between SNX29 CNVs (CNV10810 and CNV10811) and growth traits in 415 DSE pigs. The results revealed that the CNV10810 mutation was significantly associated with backfat thickness in DSE pigs at 12 and 15 months old (P < 0.05), while the CNV10811 mutation had significant effects on various growth traits at 6 and 12 months old, particularly for body weight, body height, back height and backfat thickness (P < 0.05 or P < 0.001). In conclusion, our results confirm that SNX29 CNV plays a role in regulating growth and development in pigs, thus suggesting its potential application for pig breeding programmes.
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Affiliation(s)
- Long Yang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Xiaoding Lin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Yuhan Chen
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Peiya Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Qun Lan
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Heng Zhao
- Yunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, China
| | - Hongjiang Wei
- Yunnan Province Key Laboratory for Porcine Gene Editing and Xenotransplantation, Yunnan Agricultural University, Kunming, China
| | - Yulong Yin
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Mei Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
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2
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Fuentes RR, Nieuwenhuis R, Chouaref J, Hesselink T, van Dooijeweert W, van den Broeck HC, Schijlen E, Schouten HJ, Bai Y, Fransz P, Stam M, de Jong H, Trivino SD, de Ridder D, van Dijk ADJ, Peters SA. A catalogue of recombination coldspots in interspecific tomato hybrids. PLoS Genet 2024; 20:e1011336. [PMID: 38950081 DOI: 10.1371/journal.pgen.1011336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 06/09/2024] [Indexed: 07/03/2024] Open
Abstract
Increasing natural resistance and resilience in plants is key for ensuring food security within a changing climate. Breeders improve these traits by crossing cultivars with their wild relatives and introgressing specific alleles through meiotic recombination. However, some genomic regions are devoid of recombination especially in crosses between divergent genomes, limiting the combinations of desirable alleles. Here, we used pooled-pollen sequencing to build a map of recombinant and non-recombinant regions between tomato and five wild relatives commonly used for introgressive tomato breeding. We detected hybrid-specific recombination coldspots that underscore the role of structural variations in modifying recombination patterns and maintaining genetic linkage in interspecific crosses. Crossover regions and coldspots show strong association with specific TE superfamilies exhibiting differentially accessible chromatin between somatic and meiotic cells. About two-thirds of the genome are conserved coldspots, located mostly in the pericentromeres and enriched with retrotransposons. The coldspots also harbor genes associated with agronomic traits and stress resistance, revealing undesired consequences of linkage drag and possible barriers to breeding. We presented examples of linkage drag that can potentially be resolved by pairing tomato with other wild species. Overall, this catalogue will help breeders better understand crossover localization and make informed decisions on generating new tomato varieties.
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Affiliation(s)
- Roven Rommel Fuentes
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
- Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Ronald Nieuwenhuis
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
| | - Jihed Chouaref
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Thamara Hesselink
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
| | - Willem van Dooijeweert
- Centre for Genetic Resources, Wageningen University and Research, Wageningen, The Netherlands
| | - Hetty C van den Broeck
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
| | - Elio Schijlen
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
| | - Henk J Schouten
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Yuling Bai
- Plant Breeding, Wageningen University and Research, Wageningen, The Netherlands
| | - Paul Fransz
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Maike Stam
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Hans de Jong
- Laboratory of Genetics, Wageningen University and Research, Wageningen, The Netherlands
| | - Sara Diaz Trivino
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
| | - Dick de Ridder
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Aalt D J van Dijk
- Bioinformatics Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Sander A Peters
- Business Unit of Bioscience, Cluster Applied Bioinformatics, Wageningen University and Research, Wageningen, The Netherlands
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3
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Gou X, Shao Y, Wang X, Shi H, Yu J, Li X, Guo T. Evolutionary patterns of DNA base composition at polymorphic sites highlight the role of the environment in shaping barley and rice genomes. THE PLANT GENOME 2024; 17:e20456. [PMID: 38688857 DOI: 10.1002/tpg2.20456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 03/20/2024] [Accepted: 04/01/2024] [Indexed: 05/02/2024]
Abstract
Insights into changes in genome base composition underlying crop domestication can be gained by using comparative genomics. With this approach, previous studies have reported that crop genomes during domestication accumulate more nucleotides adenine (A) and thymine (T) (termed as [AT]-increase) across polymorphic sites. However, the potential influence of the environment or its factors, for example, solar ultraviolet (UV) radiation and temperature, on the [AT]-increase has not been well elucidated. Here, we investigated the [AT]-increase in barley (Hordeum vulgare L.) and rice (Oryza sativa L.) and the association with natural environments, where accessions are distributed. With 12,798,376 and 2,861,535 single-nucleotide polymorphisms from 368 barley and 1375 rice accessions, respectively, we discovered that [AT] increases from wild accessions to improved cultivars, and genomic regions with larger [AT]-increase tend to have higher UV-related motif frequencies, suggesting solar UV radiation as a potential factor in driving genome variation. To link [AT] change with the geographic distribution, we gathered georeferenced accessions and examined their local environments. Interestingly, negative correlations between [AT] and environmental factors were observed (r = -0.39 ∼ -0.75) and modern accessions with higher [AT] values, as compared with wild relatives, are from the environments with lower solar UV radiation or lower temperature. With [AT] and environmental factors as phenotypes, genome-wide association mapping identified three candidate genes that have the potential to contribute to [AT] variation under the effect of environmental conditions. Our findings provide genomic and environmental insights into evolutionary pattern of DNA base composition and underlying mechanisms.
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Affiliation(s)
- Xiangjian Gou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Yang Shao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Xiao Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Haoran Shi
- Chengdu Academy of Agricultural and Forestry Sciences, Wenjiang, China
| | - Jianming Yu
- Department of Agronomy, Iowa State University, Ames, Iowa, USA
| | - Xianran Li
- USDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, Washington, USA
- Department of Crop and Soil Sciences, Washington State University, Pullman, Washington, USA
| | - Tingting Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
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Huang J, Zhang Y, Li Y, Xing M, Lei C, Wang S, Nie Y, Wang Y, Zhao M, Han Z, Sun X, Zhou H, Wang Y, Zheng X, Xiao X, Fan W, Liu Z, Guo W, Zhang L, Cheng Y, Qian Q, He H, Yang Q, Qiao W. Haplotype-resolved gapless genome and chromosome segment substitution lines facilitate gene identification in wild rice. Nat Commun 2024; 15:4573. [PMID: 38811581 PMCID: PMC11137157 DOI: 10.1038/s41467-024-48845-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 05/15/2024] [Indexed: 05/31/2024] Open
Abstract
The abundant genetic variation harbored by wild rice (Oryza rufipogon) has provided a reservoir of useful genes for rice breeding. However, the genome of wild rice has not yet been comprehensively assessed. Here, we report the haplotype-resolved gapless genome assembly and annotation of wild rice Y476. In addition, we develop two sets of chromosome segment substitution lines (CSSLs) using Y476 as the donor parent and cultivated rice as the recurrent parents. By analyzing the gapless reference genome and CSSL population, we identify 254 QTLs associated with agronomic traits, biotic and abiotic stresses. We clone a receptor-like kinase gene associated with rice blast resistance and confirm its wild rice allele improves rice blast resistance. Collectively, our study provides a haplotype-resolved gapless reference genome and demonstrates a highly efficient platform for gene identification from wild rice.
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Affiliation(s)
- Jingfen Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yilin Zhang
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Yapeng Li
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
- Hainan Academy of Agricultural Sciences, Haikou, Hainan, China
| | - Meng Xing
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Cailin Lei
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Shizhuang Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Yamin Nie
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Yanyan Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Mingchao Zhao
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
- Hainan Academy of Agricultural Sciences, Haikou, Hainan, China
| | - Zhenyun Han
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xianjun Sun
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Han Zhou
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Yan Wang
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China
| | - Xiaoming Zheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Xiaorong Xiao
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
- Hainan Academy of Agricultural Sciences, Haikou, Hainan, China
| | - Weiya Fan
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ziran Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenlong Guo
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lifang Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yunlian Cheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qian Qian
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
| | - Hang He
- School of Advanced Agriculture Sciences and School of Life Sciences, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, China.
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China.
| | - Qingwen Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China.
| | - Weihua Qiao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China.
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5
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Kapoor C, Anamika, Mukesh Sankar S, Singh SP, Singh N, Kumar S. Omics-driven utilization of wild relatives for empowering pre-breeding in pearl millet. PLANTA 2024; 259:155. [PMID: 38750378 DOI: 10.1007/s00425-024-04423-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 04/25/2024] [Indexed: 05/23/2024]
Abstract
MAIN CONCLUSION Pearl millet wild relatives harbour novel alleles which could be utilized to broaden genetic base of cultivated species. Genomics-informed pre-breeding is needed to speed up introgression from wild to cultivated gene pool in pearl millet. Rising episodes of intense biotic and abiotic stresses challenge pearl millet production globally. Wild relatives provide a wide spectrum of novel alleles which could address challenges posed by climate change. Pre-breeding holds potential to introgress novel diversity in genetically narrow cultivated Pennisetum glaucum from diverse gene pool. Practical utilization of gene pool diversity remained elusive due to genetic intricacies. Harnessing promising traits from wild pennisetum is limited by lack of information on underlying candidate genes/QTLs. Next-Generation Omics provide vast scope to speed up pre-breeding in pearl millet. Genomic resources generated out of draft genome sequence and improved genome assemblies can be employed to utilize gene bank accessions effectively. The article highlights genetic richness in pearl millet and its utilization with a focus on harnessing next-generation Omics to empower pre-breeding.
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Affiliation(s)
- Chandan Kapoor
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
| | - Anamika
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - S Mukesh Sankar
- ICAR-Indian Institute of Spices Research, Kozhikode, Kerala, 673012, India
| | - S P Singh
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Nirupma Singh
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Sudhir Kumar
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
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6
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Pokrovac I, Rohner N, Pezer Ž. The prevalence of copy number increase at multiallelic copy number variants associated with cave colonization. Mol Ecol 2024; 33:e17339. [PMID: 38556927 DOI: 10.1111/mec.17339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/16/2024] [Accepted: 03/22/2024] [Indexed: 04/02/2024]
Abstract
Copy number variation is a common contributor to phenotypic diversity, yet its involvement in ecological adaptation is not easily discerned. Instances of parallelly evolving populations of the same species in a similar environment marked by strong selective pressures present opportunities to study the role of copy number variants (CNVs) in adaptation. By identifying CNVs that repeatedly occur in multiple populations of the derived ecotype and are not (or are rarely) present in the populations of the ancestral ecotype, the association of such CNVs with adaptation to the novel environment can be inferred. We used this paradigm to identify CNVs associated with recurrent adaptation of the Mexican tetra (Astyanax mexicanus) to cave environment. Using a read-depth approach, we detected CNVs from previously re-sequenced genomes of 44 individuals belonging to two ancestral surfaces and three derived cave populations. We identified 102 genes and 292 genomic regions that repeatedly diverge in copy number between the two ecotypes and occupy 0.8% of the reference genome. Functional analysis revealed their association with processes previously recognized to be relevant for adaptation, such as vision, immunity, oxygen consumption, metabolism, and neural function and we propose that these variants have been selected for in the cave or surface waters. The majority of the ecotype-divergent CNVs are multiallelic and display copy number increases in cavefish compared to surface fish. Our findings suggest that multiallelic CNVs - including gene duplications - and divergence in copy number provide a fast route to produce novel phenotypes associated with adaptation to subterranean life.
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Affiliation(s)
| | - Nicolas Rohner
- Stowers Institute for Medical Research, Kansas City, Missouri, USA
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7
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de Ronne M, Lapierre É, Torkamaneh D. Genetic insights into agronomic and morphological traits of drug-type cannabis revealed by genome-wide association studies. Sci Rep 2024; 14:9162. [PMID: 38644388 PMCID: PMC11033274 DOI: 10.1038/s41598-024-58931-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/04/2024] [Indexed: 04/23/2024] Open
Abstract
Cannabis sativa L., previously concealed by prohibition, is now a versatile and promising plant, thanks to recent legalization, opening doors for medical research and industry growth. However, years of prohibition have left the Cannabis research community lagging behind in understanding Cannabis genetics and trait inheritance compared to other major crops. To address this gap, we conducted a comprehensive genome-wide association study (GWAS) of nine key agronomic and morphological traits, using a panel of 176 drug-type Cannabis accessions from the Canadian legal market. Utilizing high-density genotyping-by-sequencing (HD-GBS), we successfully generated dense genotyping data in Cannabis, resulting in a catalog of 800 K genetic variants, of which 282 K common variants were retained for GWAS analysis. Through GWAS analysis, we identified 18 markers significantly associated with agronomic and morphological traits. Several identified markers exert a substantial phenotypic impact, guided us to putative candidate genes that reside in high linkage-disequilibrium (LD) with the markers. These findings lay a solid foundation for an innovative cannabis research, leveraging genetic markers to inform breeding programs aimed at meeting diverse needs in the industry.
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Affiliation(s)
- Maxime de Ronne
- Département de Phytologie, Université Laval, Quebec City, Québec, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Québec, Canada
- Centre de Recherche et d'innovation sur les Végétaux (CRIV), Université Laval, Quebec City, Québec, Canada
- Institut Intelligence et Données (IID), Université Laval, Quebec City, Québec, Canada
| | - Éliana Lapierre
- Département de Phytologie, Université Laval, Quebec City, Québec, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Québec, Canada
- Centre de Recherche et d'innovation sur les Végétaux (CRIV), Université Laval, Quebec City, Québec, Canada
- Institut Intelligence et Données (IID), Université Laval, Quebec City, Québec, Canada
| | - Davoud Torkamaneh
- Département de Phytologie, Université Laval, Quebec City, Québec, Canada.
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, Québec, Canada.
- Centre de Recherche et d'innovation sur les Végétaux (CRIV), Université Laval, Quebec City, Québec, Canada.
- Institut Intelligence et Données (IID), Université Laval, Quebec City, Québec, Canada.
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8
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Nan L, Li Y, Ma C, Meng X, Han Y, Li H, Huang M, Qin Y, Ren X. Identification and Expression Analysis of the WOX Transcription Factor Family in Foxtail Millet ( Setaria italica L.). Genes (Basel) 2024; 15:476. [PMID: 38674410 PMCID: PMC11050393 DOI: 10.3390/genes15040476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 03/29/2024] [Accepted: 04/07/2024] [Indexed: 04/28/2024] Open
Abstract
WUSCHEL-related homeobox (WOX) transcription factors are unique to plants and play pivotal roles in plant development and stress responses. In this investigation, we acquired protein sequences of foxtail millet WOX gene family members through homologous sequence alignment and a hidden Markov model (HMM) search. Utilizing conserved domain prediction, we identified 13 foxtail millet WOX genes, which were classified into ancient, intermediate, and modern clades. Multiple sequence alignment results revealed that all WOX proteins possess a homeodomain (HD). The SiWOX genes, clustered together in the phylogenetic tree, exhibited analogous protein spatial structures, gene structures, and conserved motifs. The foxtail millet WOX genes are distributed across 7 chromosomes, featuring 3 pairs of tandem repeats: SiWOX1 and SiWOX13, SiWOX4 and SiWOX5, and SiWOX11 and SiWOX12. Collinearity analysis demonstrated that WOX genes in foxtail millet exhibit the highest collinearity with green foxtail, followed by maize. The SiWOX genes primarily harbor two categories of cis-acting regulatory elements: Stress response and plant hormone response. Notably, prominent hormones triggering responses include methyl jasmonate, abscisic acid, gibberellin, auxin, and salicylic acid. Analysis of SiWOX expression patterns and hormone responses unveiled potential functional diversity among different SiWOX genes in foxtail millet. These findings lay a solid foundation for further elucidating the functions and evolution of SiWOX genes.
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Affiliation(s)
- Lizhang Nan
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Yajun Li
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Cui Ma
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Xiaowei Meng
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Yuanhuai Han
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Hongying Li
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Mingjing Huang
- College of Agriculture, Shanxi Agricultural University, Taigu, Jinzhong 030800, China; (L.N.); (Y.L.); (C.M.); (X.M.); (Y.H.); (H.L.); (M.H.)
| | - Yingying Qin
- College of Life Sciences, Shanxi Agricultural University, Taigu, Jinzhong 030800, China
| | - Xuemei Ren
- College of Life Sciences, Shanxi Agricultural University, Taigu, Jinzhong 030800, China
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9
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Gu J, Guan Z, Jiao Y, Liu K, Hong D. The story of a decade: Genomics, functional genomics, and molecular breeding in Brassica napus. PLANT COMMUNICATIONS 2024; 5:100884. [PMID: 38494786 PMCID: PMC11009362 DOI: 10.1016/j.xplc.2024.100884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/01/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
Rapeseed (Brassica napus L.) is one of the major global sources of edible vegetable oil and is also used as a feed and pioneer crop and for sightseeing and industrial purposes. Improvements in genome sequencing and molecular marker technology have fueled a boom in functional genomic studies of major agronomic characters such as yield, quality, flowering time, and stress resistance. Moreover, introgression and pyramiding of key functional genes have greatly accelerated the genetic improvement of important traits. Here we summarize recent progress in rapeseed genomics and genetics, and we discuss effective molecular breeding strategies by exploring these findings in rapeseed. These insights will extend our understanding of the molecular mechanisms and regulatory networks underlying agronomic traits and facilitate the breeding process, ultimately contributing to more sustainable agriculture throughout the world.
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Affiliation(s)
- Jianwei Gu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, Hubei, China; College of Life Science and Technology, Hubei Engineering University, Xiaogan 432100 Hubei, China
| | - Zhilin Guan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, Hubei, China; Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074 Hubei, China
| | - Yushun Jiao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Kede Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, Hubei, China.
| | - Dengfeng Hong
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, Hubei, China; Yazhouwan National Laboratory, Sanya 572024 Hainan, China.
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10
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Yuan P, Huang PC, Martin TK, Chappell TM, Kolomiets MV. Duplicated Copy Number Variant of the Maize 9-Lipoxygenase ZmLOX5 Improves 9,10-KODA-Mediated Resistance to Fall Armyworms. Genes (Basel) 2024; 15:401. [PMID: 38674336 PMCID: PMC11049851 DOI: 10.3390/genes15040401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/28/2024] Open
Abstract
Extensive genome structure variations, such as copy number variations (CNVs) and presence/absence variations, are the basis for the remarkable genetic diversity of maize; however, the effect of CNVs on maize herbivory defense remains largely underexplored. Here, we report that the naturally occurring duplication of the maize 9-lipoxygenase gene ZmLOX5 leads to increased resistance of maize to herbivory by fall armyworms (FAWs). Previously, we showed that ZmLOX5-derived oxylipins are required for defense against chewing insect herbivores and identified several inbred lines, including Yu796, that contained duplicated CNVs of ZmLOX5, referred to as Yu796-2×LOX5. To test whether introgression of the Yu796-2×LOX5 locus into a herbivore-susceptible B73 background that contains a single ZmLOX5 gene is a feasible approach to increase resistance, we generated a series of near-isogenic lines that contained either two, one, or zero copies of the Yu796-2×LOX5 locus in the B73 background via six backcrosses (BC6). Droplet digital PCR (ddPCR) confirmed the successful introgression of the Yu796-2×LOX5 locus in B73. The resulting B73-2×LOX5 inbred line displayed increased resistance against FAW, associated with increased expression of ZmLOX5, increased wound-induced production of its primary oxylipin product, the α-ketol, 9-hydroxy-10-oxo-12(Z),15(Z)-octadecadienoic acid (9,10-KODA), and the downstream defense hormones regulated by this molecule, 12-oxo-phytodienoic acid (12-OPDA) and abscisic acid (ABA). Surprisingly, wound-induced JA-Ile production was not increased in B73-2×LOX5, resulting from the increased JA catabolism. Furthermore, B73-2×LOX5 displayed reduced water loss in response to drought stress, likely due to increased ABA and 12-OPDA content. Taken together, this study revealed that the duplicated CNV of ZmLOX5 quantitively contributes to maize antiherbivore defense and presents proof-of-concept evidence that the introgression of naturally occurring duplicated CNVs of a defensive gene into productive but susceptible crop varieties is a feasible breeding approach for enhancing plant resistance to herbivory and tolerance to abiotic stress.
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Affiliation(s)
| | | | | | | | - Michael V. Kolomiets
- Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77840-2132, USA; (P.Y.); (P.-C.H.); (T.K.M.); (T.M.C.)
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11
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Zhan W, Hu H, Hao B, Zhu H, Yan T, Zhang J, Wang S, Liu S, Zhang T. Development of machine learning-based malignant pericardial effusion-related model in breast cancer: Implications for clinical significance, tumor immune and drug-therapy. Heliyon 2024; 10:e27507. [PMID: 38463870 PMCID: PMC10923851 DOI: 10.1016/j.heliyon.2024.e27507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/29/2024] [Indexed: 03/12/2024] Open
Abstract
Background Malignant pericardial effusion (MPE) is a common complication of advanced breast cancer (BRCA) and plays an important role in BRCA. This study is aims to construct a prognostic model based on MPE-related genes for predicting the prognosis of breast cancer. Methods The BRCA samples are analyzed based on the expression of MPE-related genes by using an unsupervised cluster analysis method. This study processes the data by least absolute shrinkage and selection operator and multivariate Cox analysis, and uses machine learning algorithms to construct BRCA prognostic model and develop web tool. Results BRCA patients are classified into three clusters and a BRCA prognostic model is constructed containing 9 MPE-related genes. There are significant differences in signature pathways, immune infiltration, immunotherapy response and drug sensitivity testing between the high and low-risk groups. Of note, a web-based tool (http://wys.helyly.top/cox.html) is developed to predict overall survival as well as drug-therapy response of BRCA patients quickly and conveniently, which can provide a basis for clinicians to formulate individualized treatment plans. Conclusion The MPE-related prognostic model developed in this study can be used as an effective tool for predicting the prognosis of BRCA and provides new insights for the diagnosis and treatment of BRCA patients.
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Affiliation(s)
- Wendi Zhan
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Haihong Hu
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Bo Hao
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Hongxia Zhu
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Ting Yan
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Jingdi Zhang
- School of Pharmacy, Hengyang Medical College, University of South China, 28 Western Changsheng Road, Hengyang, Hunan, 421001, China
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Siyu Wang
- Department of Medical Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Saiyang Liu
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China
| | - Taolan Zhang
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Phase I Clinical Trial Center, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
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12
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Yang Y, Yuan L, Liu W, Lu D, Meng F, Yang Y, Zhou Z, Ma P, Nan Y. Banxia-Shengjiang drug pair inhibits gastric cancer development and progression by improving body immunity. Medicine (Baltimore) 2024; 103:e36303. [PMID: 38457601 PMCID: PMC10919495 DOI: 10.1097/md.0000000000036303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 03/10/2024] Open
Abstract
To investigate the mechanism of action of Banxia-Shengjiang drug pair on the inhibition of gastric cancer (GC) using network pharmacology and bioinformatics techniques. The action targets of the Banxia (Pinellia ternata (Thunb.) Makino) -Shengjiang (Zingiber officinale Roscoe) drug pair obtained from the TCMSP database were intersected with differentially expressed genes (DEGs) and GC-related genes, and the intersected genes were analyzed for pathway enrichment to identify the signaling pathways and core target genes. Subsequently, the core target genes were analyzed for clinical relevance gene mutation analysis, methylation analysis, immune infiltration analysis and immune cell analysis. Finally, by constructing the PPI network of hub genes and corresponding active ingredients, the key active ingredients of the Banxia-Shengjiang drug pair were screened for molecular docking with the hub genes. In this study, a total of 557 target genes of Banxia-Shengjiang pairs, 7754 GC-related genes and 1799 DEGs in GC were screened. Five hub genes were screened, which were PTGS2, MMP9, PPARG, MMP2, and CXCR4. The pathway enrichment analyses showed that the intersecting genes were associated with RAS/MAPK signaling pathway. In addition, the clinical correlation analysis showed that hub genes were differentially expressed in GC and was closely associated with immune infiltration and immunotherapy. The results of single nucleotide variation (SNV) and copy number variation (CNV) indicated that mutations in the hub genes were associated with the survival of gastric cancer patients. Finally, the PPI network and molecular docking results showed that PTGS2 and MMP9 were potentially important targets for the inhibition of GC by Banxia-Shengjiang drug pair, while cavidine was an important active ingredient for the inhibition of GC by Banxia-Shengjiang drug pair. Banxia-Shengjiang drug pair may regulate the immune function and inhibit GC by modulating the expression of core target genes such as RAS/MAPK signaling pathway, PTGS2 and MMP9.
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Affiliation(s)
- Yating Yang
- Traditional Chinese Medicine College, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Ling Yuan
- College of Pharmacy, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Wenjing Liu
- Key Laboratory of Hui Ethnic Medicine Modernization of Ministry of Education, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Doudou Lu
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Fandi Meng
- Key Laboratory of Hui Ethnic Medicine Modernization of Ministry of Education, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Yi Yang
- College of Pharmacy, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Ziying Zhou
- Pharmacy Department, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Ping Ma
- Pharmacy Department, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Yi Nan
- Key Laboratory of Hui Ethnic Medicine Modernization of Ministry of Education, Ningxia Medical University, Yinchuan, Ningxia, China
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13
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Du H, Diao C, Zhuo Y, Zheng X, Hu Z, Lu S, Jin W, Zhou L, Liu JF. Assembly of novel sequences for Chinese domestic pigs reveals new genes and regulatory variants providing new insights into their diversity. Genomics 2024; 116:110782. [PMID: 38176574 DOI: 10.1016/j.ygeno.2024.110782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/27/2023] [Accepted: 01/01/2024] [Indexed: 01/06/2024]
Abstract
There is an increasing understanding that a reference genome representing an individual cannot capture all the gene repertoire of a species. Here, we conduct a population-scale missing sequences detection of Chinese domestic pigs using whole-genome sequencing data from 534 individuals. We identify 132.41 Mb of sequences absent in the reference assembly, including eight novel genes. In particular, the breeds spread in Chinese high-altitude regions perform significantly different frequencies of new sequences in promoters than other breeds. Furthermore, we dissect the role of non-coding variants and identify a novel sequence inserted in the 3'UTR of the FMO3 gene, which may be associated with the intramuscular fat phenotype. This novel sequence could be a candidate marker for meat quality. Our study provides a comprehensive overview of the missing sequences in Chinese domestic pigs and indicates that this dataset is a valuable resource for understanding the diversity and biology of pigs.
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Affiliation(s)
- Heng Du
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Chenguang Diao
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Yue Zhuo
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Xianrui Zheng
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Zhengzheng Hu
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shiyu Lu
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Wenjiao Jin
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lei Zhou
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Jian-Feng Liu
- State Key Laboratory of Animal Biotech Breeding; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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14
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Zhou Q, Sun Q, Shen Q, Li X, Qian J. Development and implementation of a prognostic model for clear cell renal cell carcinoma based on heterogeneous TLR4 expression. Heliyon 2024; 10:e25571. [PMID: 38380017 PMCID: PMC10877190 DOI: 10.1016/j.heliyon.2024.e25571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
Objective Clear cell renal cell carcinoma (ccRCC) is the most common subtype among renal cell carcinomas and has the worst prognosis, originating from renal tubular epithelial cells. Toll-like receptor 4 (TLR4) plays a crucial role in ccRCC proliferation, infiltration, and metastasis. The aim of this study was to construct a prognostic scoring model for ccRCC based on TLR4 expression heterogeneity and to explore its association with immune infiltration, thereby providing insights for the treatment and prognostic evaluation of ccRCC. Methods Using R software, a differential analysis was conducted on normal samples and ccRCC samples, and in conjunction with the KEGG database, a correlation analysis for the clear cell renal cell carcinoma pathway (hsa05211) was carried out. We observed the expression heterogeneity of TLR4 in the TCGA-KIRC cohort and identified its related differential genes (TRGs). Based on the expression levels of TRGs, consensus clustering was employed to identify TLR4-related subtypes, and further clustering heatmaps, principal component, and single-sample gene set enrichment analyses were conducted. Overlapping differential genes (ODEGs) between subtypes were analysed, and combined with survival data, univariate Cox regression, LASSO, and multivariate Cox regression were used to establish a prognostic risk model for ccRCC. This model was subsequently evaluated through ROC analysis, risk factor correlation analysis, independent prognostic factor analysis, and intergroup differential analysis. The ssGSEA model was employed to explore immune heterogeneity in ccRCC, and the performance of the model in predicting patient prognosis was evaluated using box plots and the oncoPredict software package. Results In the TCGA-KIRC cohort, TLR4 expression was notably elevated in ccRCC samples compared to normal samples, correlating with improved survival in the high-expression group. The study identified distinct TLR4-related differential genes and categorized ccRCC into three subtypes with varied survival outcomes. A risk prognosis model based on overlapping differential genes was established, showing significant associations with immune cell infiltration and key immune checkpoints (PD-1, PD-L1, CTLA4). Additionally, drug sensitivity differences were observed between risk groups. Conclusion In the TCGA-KIRC cohort, the expression of TLR4 in ccRCC samples exhibited significant heterogeneity. Through clustering analysis, we identified that the primary immune cells across subtypes are myeloid-derived suppressor cells, central memory CD4 T cells, and regulatory T cells. Furthermore, we successfully constructed a prognostic risk model for ccRCC composed of 17 genes. This model provides valuable references for the prognosis prediction and treatment of ccRCC patients.
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Affiliation(s)
- Qingbo Zhou
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Qiang Sun
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Qi Shen
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Xinsheng Li
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Jijiang Qian
- Department of Medical Imaging, Shaoxing Yuecheng People's Hospital, Shaoxing, China
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15
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Monier M, Nuez I, Borne F, Courtier-Orgogozo V. Higher evolutionary dynamics of gene copy number for Drosophila glue genes located near short repeat sequences. BMC Ecol Evol 2024; 24:18. [PMID: 38308233 PMCID: PMC10835880 DOI: 10.1186/s12862-023-02178-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 11/23/2023] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND During evolution, genes can experience duplications, losses, inversions and gene conversions. Why certain genes are more dynamic than others is poorly understood. Here we examine how several Sgs genes encoding glue proteins, which make up a bioadhesive that sticks the animal during metamorphosis, have evolved in Drosophila species. RESULTS We examined high-quality genome assemblies of 24 Drosophila species to study the evolutionary dynamics of four glue genes that are present in D. melanogaster and are part of the same gene family - Sgs1, Sgs3, Sgs7 and Sgs8 - across approximately 30 millions of years. We annotated a total of 102 Sgs genes and grouped them into 4 subfamilies. We present here a new nomenclature for these Sgs genes based on protein sequence conservation, genomic location and presence/absence of internal repeats. Two types of glue genes were uncovered. The first category (Sgs1, Sgs3x, Sgs3e) showed a few gene losses but no duplication, no local inversion and no gene conversion. The second group (Sgs3b, Sgs7, Sgs8) exhibited multiple events of gene losses, gene duplications, local inversions and gene conversions. Our data suggest that the presence of short "new glue" genes near the genes of the latter group may have accelerated their dynamics. CONCLUSIONS Our comparative analysis suggests that the evolutionary dynamics of glue genes is influenced by genomic context. Our molecular, phylogenetic and comparative analysis of the four glue genes Sgs1, Sgs3, Sgs7 and Sgs8 provides the foundation for investigating the role of the various glue genes during Drosophila life.
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Affiliation(s)
- Manon Monier
- Université Paris Cité, CNRS, Institut Jacques Monod, 75013, Paris, France
| | - Isabelle Nuez
- Université Paris Cité, CNRS, Institut Jacques Monod, 75013, Paris, France
| | - Flora Borne
- Université Paris Cité, CNRS, Institut Jacques Monod, 75013, Paris, France
- Department of Biological Sciences, Columbia University, New York city, New York, USA
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16
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Cendron F, Cassandro M, Penasa M. Genome-wide investigation to assess copy number variants in the Italian local chicken population. J Anim Sci Biotechnol 2024; 15:2. [PMID: 38167097 PMCID: PMC10763469 DOI: 10.1186/s40104-023-00965-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Copy number variants (CNV) hold significant functional and evolutionary importance. Numerous ongoing CNV studies aim to elucidate the etiology of human diseases and gain insights into the population structure of livestock. High-density chips have enabled the detection of CNV with increased resolution, leading to the identification of even small CNV. This study aimed to identify CNV in local Italian chicken breeds and investigate their distribution across the genome. RESULTS Copy number variants were mainly distributed across the first six chromosomes and primarily associated with loss type CNV. The majority of CNV in the investigated breeds were of types 0 and 1, and the minimum length of CNV was significantly larger than that reported in previous studies. Interestingly, a high proportion of the length of chromosome 16 was covered by copy number variation regions (CNVR), with the major histocompatibility complex being the likely cause. Among the genes identified within CNVR, only those present in at least five animals across breeds (n = 95) were discussed to reduce the focus on redundant CNV. Some of these genes have been associated to functional traits in chickens. Notably, several CNVR on different chromosomes harbor genes related to muscle development, tissue-specific biological processes, heat stress resistance, and immune response. Quantitative trait loci (QTL) were also analyzed to investigate potential overlapping with the identified CNVR: 54 out of the 95 gene-containing regions overlapped with 428 QTL associated to body weight and size, carcass characteristics, egg production, egg components, fat deposition, and feed intake. CONCLUSIONS The genomic phenomena reported in this study that can cause changes in the distribution of CNV within the genome over time and the comparison of these differences in CNVR of the local chicken breeds could help in preserving these genetic resources.
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Affiliation(s)
- Filippo Cendron
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale Dell'Università 16, 35020, Legnaro, PD, Italy.
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale Dell'Università 16, 35020, Legnaro, PD, Italy
- Federazione Delle Associazioni Nazionali Di Razza E Specie, Via XXIV Maggio 43, 00187, Rome, Italy
| | - Mauro Penasa
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Viale Dell'Università 16, 35020, Legnaro, PD, Italy
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Pancaldi F, Schranz ME, van Loo EN, Trindade LM. Highly differentiated genomic properties underpin the different cell walls of Poaceae and eudicots. PLANT PHYSIOLOGY 2023; 194:274-295. [PMID: 37141316 PMCID: PMC10762515 DOI: 10.1093/plphys/kiad267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/03/2023] [Accepted: 04/03/2023] [Indexed: 05/06/2023]
Abstract
Plant cell walls of Poaceae and eudicots differ substantially, both in the content and composition of their components. However, the genomic and genetic basis underlying these differences is not fully resolved. In this research, we analyzed multiple genomic properties of 150 cell wall gene families across 169 angiosperm genomes. The properties analyzed include gene presence/absence, copy number, synteny, occurrence of tandem gene clusters, and phylogenetic gene diversity. Results revealed a profound genomic differentiation of cell wall genes between Poaceae and eudicots, often associated with the cell wall diversity between these plant groups. For example, overall patterns of gene copy number variation and synteny were clearly divergent between Poaceae and eudicot species. Moreover, differential Poaceae-eudicot copy number and genomic contexts were observed for all the genes within the BEL1-like HOMEODOMAIN 6 regulatory pathway, which respectively induces and represses secondary cell wall synthesis in Poaceae and eudicots. Similarly, divergent synteny, copy number, and phylogenetic gene diversification were observed for the major biosynthetic genes of xyloglucans, mannans, and xylans, potentially contributing to the differences in content and types of hemicellulosic polysaccharides differences in Poaceae and eudicot cell walls. Additionally, the Poaceae-specific tandem clusters and/or higher copy number of PHENYLALANINE AMMONIA-LYASE, CAFFEIC ACID O-METHYLTRANSFERASE, or PEROXIDASE genes may underly the higher content and larger variety of phenylpropanoid compounds observed in Poaceae cell walls. All these patterns are discussed in detail in this study, along with their evolutionary and biological relevance for cell wall (genomic) diversification between Poaceae and eudicots.
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Affiliation(s)
- Francesco Pancaldi
- Plant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands
| | - Michael Eric Schranz
- Biosystematics group, Wageningen University & Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands
| | - Eibertus N van Loo
- Plant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands
| | - Luisa M Trindade
- Plant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, 6708PB, Wageningen, The Netherlands
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Zhu H, Lu X, Jiang H, Yang Z, Xu T. Descriptive Statistics and Genome-Wide Copy Number Analysis of Milk Production Traits of Jiangsu Chinese Holstein Cows. Animals (Basel) 2023; 14:17. [PMID: 38200748 PMCID: PMC10778490 DOI: 10.3390/ani14010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/05/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Milk production traits are the most important quantitative economic traits in dairy cow production; improving the yield and quality of milk is an important way to ensure the production efficiency of the dairy industry. This study carried out a series of in-depth statistical genetics studies and molecular analyses on the Chinese Holstein cows in the Jiangsu Province, such as descriptive statistics and copy number variation analysis. A genetic correlation, phenotypic correlation, and descriptive statistical analysis of five milk production traits (milk yield, milk fat percentage, milk fat yield, milk protein percentage, and milk protein yield) of the dairy cows were analyzed using the SPSS and DMU software. Through quality control, 4173 cows and their genomes were used for genomic study. Then, SNPs were detected using DNA chips, and a copy number variation (CNV) analysis was carried out to locate the quantitative trait loci (QTL) of the milk production traits by Perl program software Penn CNV and hidden Markov model (HMM). The phenotypic means of the milk yield, milk fat percentage, milk fat mass, milk protein percentage, and milk protein mass at the first trimester were lower than those at the other trimesters by 8.821%, 1.031%, 0.930%, 0.003%, and 0.826%, respectively. The five milk production traits showed a significant phenotypic positive correlation (p < 0.01) and a high genetic positive correlation among the three parities. Based on the GGPBovine 100 K SNP data, QTL-detecting research on the fist-parity milk performance of dairy cows was carried out via the CNV. We identified 1731 CNVs and 236 CNVRs in the 29 autosomes of 984 Holstein dairy cows, and 19 CNVRs were significantly associated with the milk production traits (p < 0.05). These CNVRs were analyzed via a bioinformatics analysis; a total of 13 gene ontology (GO) terms and 20 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were significantly enriched (p < 0.05), and these terms and pathways are mainly related to lipid metabolism, amino acid metabolism, and cellular catabolic processes. This study provided a theoretical basis for the molecular-marker-assisted selection of dairy cows by developing descriptive statistics on the milk production traits of dairy cows and by locating the QTL and functional genes that affect the milk production traits of first-born dairy cows. The results describe the basic status of the milk production traits of the Chinese Holstein cows in Jiangsu and locate the QTL and functional genes that affect the milk production traits of the first-born cows, providing a theoretical basis for the molecular-marker-assisted selection of dairy cows.
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Affiliation(s)
- Hao Zhu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Xubin Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Hui Jiang
- Center for Quantitative Genetics and Genomics, Aarhus University, 8000 Aarhus C, Denmark;
| | - Zhangping Yang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Tianle Xu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
- International Joint Research Laboratory, Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou 225009, China
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Deng CH, Naithani S, Kumari S, Cobo-Simón I, Quezada-Rodríguez EH, Skrabisova M, Gladman N, Correll MJ, Sikiru AB, Afuwape OO, Marrano A, Rebollo I, Zhang W, Jung S. Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences. Database (Oxford) 2023; 2023:baad088. [PMID: 38079567 PMCID: PMC10712715 DOI: 10.1093/database/baad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 10/17/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023]
Abstract
Large-scale genotype and phenotype data have been increasingly generated to identify genetic markers, understand gene function and evolution and facilitate genomic selection. These datasets hold immense value for both current and future studies, as they are vital for crop breeding, yield improvement and overall agricultural sustainability. However, integrating these datasets from heterogeneous sources presents significant challenges and hinders their effective utilization. We established the Genotype-Phenotype Working Group in November 2021 as a part of the AgBioData Consortium (https://www.agbiodata.org) to review current data types and resources that support archiving, analysis and visualization of genotype and phenotype data to understand the needs and challenges of the plant genomic research community. For 2021-22, we identified different types of datasets and examined metadata annotations related to experimental design/methods/sample collection, etc. Furthermore, we thoroughly reviewed publicly funded repositories for raw and processed data as well as secondary databases and knowledgebases that enable the integration of heterogeneous data in the context of the genome browser, pathway networks and tissue-specific gene expression. Based on our survey, we recommend a need for (i) additional infrastructural support for archiving many new data types, (ii) development of community standards for data annotation and formatting, (iii) resources for biocuration and (iv) analysis and visualization tools to connect genotype data with phenotype data to enhance knowledge synthesis and to foster translational research. Although this paper only covers the data and resources relevant to the plant research community, we expect that similar issues and needs are shared by researchers working on animals. Database URL: https://www.agbiodata.org.
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Affiliation(s)
- Cecilia H Deng
- Molecular and Digital Breeding, New Cultivar Innovation, The New Zealand Institute for Plant and Food Research Limited, 120 Mt Albert Road, Auckland 1025, New Zealand
| | - Sushma Naithani
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA
| | - Irene Cobo-Simón
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
- Institute of Forest Science (ICIFOR-INIA, CSIC), Madrid, Spain
| | - Elsa H Quezada-Rodríguez
- Departamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana-Xochimilco, Ciudad de México, México
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Maria Skrabisova
- Department of Biochemistry, Faculty of Science, Palacky University, Olomouc, Czech Republic
| | - Nick Gladman
- Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, New York, NY 11724, USA
- U.S. Department of Agriculture-Agricultural Research Service, NEA Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY 14853, USA
| | - Melanie J Correll
- Agricultural and Biological Engineering Department, University of Florida, 1741 Museum Rd, Gainesville, FL 32611, USA
| | | | | | - Annarita Marrano
- Phoenix Bioinformatics, 39899 Balentine Drive, Suite 200, Newark, CA 94560, USA
| | | | - Wentao Zhang
- National Research Council Canada, 110 Gymnasium Pl, Saskatoon, Saskatchewan S7N 0W9, Canada
| | - Sook Jung
- Department of Horticulture, Washington State University, 303c Plant Sciences Building, Pullman, WA 99164-6414, USA
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20
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Wang T, Duan S, Xu C, Wang Y, Zhang X, Xu X, Chen L, Han Z, Wu T. Pan-genome analysis of 13 Malus accessions reveals structural and sequence variations associated with fruit traits. Nat Commun 2023; 14:7377. [PMID: 37968318 PMCID: PMC10651928 DOI: 10.1038/s41467-023-43270-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023] Open
Abstract
Structural variations (SVs) and copy number variations (CNVs) contribute to trait variations in fleshy-fruited species. Here, we assemble 10 genomes of genetically diverse Malus accessions, including the ever-green cultivar 'Granny Smith' and the widely cultivated cultivar 'Red Fuji'. Combining with three previously reported genomes, we assemble the pan-genome of Malus species and identify 20,220 CNVs and 317,393 SVs. We also observe CNVs that are positively correlated with expression levels of the genes they are associated with. Furthermore, we show that the noncoding RNA generated from a 209 bp insertion in the intron of mitogen-activated protein kinase homology encoding gene, MMK2, regulates the gene expression and affects fruit coloration. Moreover, we identify overlapping SVs associated with fruit quality and biotic resistance. This pan-genome uncovers possible contributions of CNVs to gene expression and highlights the role of SVs in apple domestication and economically important traits.
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Affiliation(s)
- Ting Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Shiyao Duan
- Plant Science and Technology College, Beijing University of Agriculture, Beijing, China
| | - Chen Xu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Yi Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xuefeng Xu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Liyang Chen
- Smartgenomics Technology Institute, Tianjin, China
| | - Zhenhai Han
- College of Horticulture, China Agricultural University, Beijing, China.
| | - Ting Wu
- College of Horticulture, China Agricultural University, Beijing, China.
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21
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Zhao Z, Ding Z, Huang J, Meng H, Zhang Z, Gou X, Tang H, Xie X, Ping J, Xiao F, Liu YG, Xie Y, Chen L. Copy number variation of the restorer Rf4 underlies human selection of three-line hybrid rice breeding. Nat Commun 2023; 14:7333. [PMID: 37957162 PMCID: PMC10643609 DOI: 10.1038/s41467-023-43009-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Cytoplasmic male sterility (CMS) lines are important for breeding hybrid crops, and utilization of CMS lines requires strong fertility restorer (Rf) genes. Rf4, a major Rf for Wild-Abortive CMS (CMS-WA), has been cloned in rice. However, the Rf4 evolution and formation of CMS-WA/Rf system remain elusive. Here, we show that the Rf4 locus emerges earlier than the CMS-WA gene WA352 in wild rice, and 69 haplotypes of the Rf4 locus are generated in the Oryza genus through the copy number and sequence variations. Eight of these haplotypes of the Rf4 locus are enriched in modern rice cultivars during natural and human selections, whereas non-functional rf4i is preferentially selected for breeding current CMS-WA lines. We further verify that varieties carrying two-copy Rf4 haplotype have stronger fertility restoration ability and are widely used in three-line hybrid rice breeding. Our findings increase our understanding of CMS/Rf systems and will likely benefit crop breeding.
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Affiliation(s)
- Zhe Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Zhi Ding
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Jingjing Huang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Hengjun Meng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Zixu Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Xin Gou
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Huiwu Tang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
| | - Xianrong Xie
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Jingyao Ping
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
| | - Fangming Xiao
- Department of Plant Sciences, University of Idaho, Moscow, ID, 83844, USA
| | - Yao-Guang Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Yongyao Xie
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China.
| | - Letian Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China.
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22
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Nalla MK, Schafleitner R, Pappu HR, Barchenger DW. Current status, breeding strategies and future prospects for managing chilli leaf curl virus disease and associated begomoviruses in Chilli ( Capsicum spp.). FRONTIERS IN PLANT SCIENCE 2023; 14:1223982. [PMID: 37936944 PMCID: PMC10626458 DOI: 10.3389/fpls.2023.1223982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023]
Abstract
Chilli leaf curl virus disease caused by begomoviruses, has emerged as a major threat to global chilli production, causing severe yield losses and economic harm. Begomoviruses are a highly successful and emerging group of plant viruses that are primarily transmitted by whiteflies belonging to the Bemisia tabaci complex. The most effective method for mitigating chilli leaf curl virus disease losses is breeding for host resistance to Begomovirus. This review highlights the current situation of chilli leaf curl virus disease and associated begomoviruses in chilli production, stressing the significant issues that breeders and growers confront. In addition, the various breeding methods used to generate begomovirus resistant chilli cultivars, and also the complicated connections between the host plant, vector and the virus are discussed. This review highlights the importance of resistance breeding, emphasising the importance of multidisciplinary approaches that combine the best of traditional breeding with cutting-edge genomic technologies. subsequently, the article highlights the challenges that must be overcome in order to effectively deploy begomovirus resistant chilli varieties across diverse agroecological zones and farming systems, as well as understanding the pathogen thus providing the opportunities for improving the sustainability and profitability of chilli production.
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Affiliation(s)
- Manoj Kumar Nalla
- World Vegetable Center, South and Central Asia Regional Office, Hyderabad, India
| | | | - Hanu R. Pappu
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
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23
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Ahmad SF, Chandrababu Shailaja C, Vaishnav S, Kumar A, Gaur GK, Janga SC, Ahmad SM, Malla WA, Dutt T. Read-depth based approach on whole genome resequencing data reveals important insights into the copy number variation (CNV) map of major global buffalo breeds. BMC Genomics 2023; 24:616. [PMID: 37845620 PMCID: PMC10580622 DOI: 10.1186/s12864-023-09720-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/05/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Elucidating genome-wide structural variants including copy number variations (CNVs) have gained increased significance in recent times owing to their contribution to genetic diversity and association with important pathophysiological states. The present study aimed to elucidate the high-resolution CNV map of six different global buffalo breeds using whole genome resequencing data at two coverages (10X and 30X). Post-quality control, the sequence reads were aligned to the latest draft release of the Bubaline genome. The genome-wide CNVs were elucidated using a read-depth approach in CNVnator with different bin sizes. Adjacent CNVs were concatenated into copy number variation regions (CNVRs) in different breeds and their genomic coverage was elucidated. RESULTS Overall, the average size of CNVR was lower at 30X coverage, providing finer details. Most of the CNVRs were either deletion or duplication type while the occurrence of mixed events was lesser in number on a comparative basis in all breeds. The average CNVR size was lower at 30X coverage (0.201 Mb) as compared to 10X (0.013 Mb) with the finest variants in Banni buffaloes. The maximum number of CNVs was observed in Murrah (2627) and Pandharpuri (25,688) at 10X and 30X coverages, respectively. Whereas the minimum number of CNVs were scored in Surti at both coverages (2092 and 17,373). On the other hand, the highest and lowest number of CNVRs were scored in Jaffarabadi (833 and 10,179 events) and Surti (783 and 7553 events) at both coverages. Deletion events overnumbered duplications in all breeds at both coverages. Gene profiling of common overlapped genes and longest CNVRs provided important insights into the evolutionary history of these breeds and indicate the genomic regions under selection in respective breeds. CONCLUSION The present study is the first of its kind to elucidate the high-resolution CNV map in major buffalo populations using a read-depth approach on whole genome resequencing data. The results revealed important insights into the divergence of major global buffalo breeds along the evolutionary timescale.
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Affiliation(s)
- Sheikh Firdous Ahmad
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India.
| | - Celus Chandrababu Shailaja
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Sakshi Vaishnav
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Amit Kumar
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Gyanendra Kumar Gaur
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Sarath Chandra Janga
- Luddy School of Informatics, Computing & Engineering, Indiana University Indianapolis (IUI), Indianapolis, 46202, USA
| | - Syed Mudasir Ahmad
- Division of Animal Biotechnology, Faculty of Veterinary Sciences and AH, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar, Jammu & Kashmir, 190006, India.
| | - Waseem Akram Malla
- Division of Veterinary Biotechnology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
| | - Triveni Dutt
- Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243122, India
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24
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Wan H, Zhang Y, Wu L, Zhou G, Pan L, Fernie AR, Ruan YL. Evolution of cytosolic and organellar invertases empowered the colonization and thriving of land plants. PLANT PHYSIOLOGY 2023; 193:1227-1243. [PMID: 37429000 PMCID: PMC10661998 DOI: 10.1093/plphys/kiad401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 07/12/2023]
Abstract
The molecular innovation underpinning efficient carbon and energy metabolism during evolution of land plants remains largely unknown. Invertase-mediated sucrose cleavage into hexoses is central to fuel growth. Why some cytoplasmic invertases (CINs) function in the cytosol, whereas others operate in chloroplasts and mitochondria, is puzzling. We attempted to shed light on this question from an evolutionary perspective. Our analyses indicated that plant CINs originated from a putatively orthologous ancestral gene in cyanobacteria and formed the plastidic CIN (α1 clade) through endosymbiotic gene transfer, while its duplication in algae with a loss of its signal peptide produced the β clade CINs in the cytosol. The mitochondrial CINs (α2) were derived from duplication of the plastidic CINs and coevolved with vascular plants. Importantly, the copy number of mitochondrial and plastidic CINs increased upon the emergence of seed plants, corresponding with the rise of respiratory, photosynthetic, and growth rates. The cytosolic CIN (β subfamily) kept expanding from algae to gymnosperm, indicating its role in supporting the increase in carbon use efficiency during evolution. Affinity purification mass spectrometry identified a cohort of proteins interacting with α1 and 2 CINs, which points to their roles in plastid and mitochondrial glycolysis, oxidative stress tolerance, and the maintenance of subcellular sugar homeostasis. Collectively, the findings indicate evolutionary roles of α1 and α2 CINs in chloroplasts and mitochondria for achieving high photosynthetic and respiratory rates, respectively, which, together with the expanding of cytosolic CINs, likely underpin the colonization of land plants through fueling rapid growth and biomass production.
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Affiliation(s)
- Hongjian Wan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Youjun Zhang
- Center for Plant Systems Biology and Biotechnology, Plovdiv 4000, Bulgaria
- Department of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany
| | - Limin Wu
- Food and Agriculture, CSIRO, ACT, Canberra 2601, Australia
| | - Guozhi Zhou
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Luzhao Pan
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Alisdair R Fernie
- Center for Plant Systems Biology and Biotechnology, Plovdiv 4000, Bulgaria
- Department of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany
| | - Yong-Ling Ruan
- State Key Laboratory of Crop Stress Biology in Arid Areas and College of Horticulture, Northwest A&F University, Xianyang 712100, China
- Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia
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25
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Dawe RK. Measuring open chromatin and DNA methylation in repeat arrays. NATURE PLANTS 2023; 9:1379-1380. [PMID: 37640934 DOI: 10.1038/s41477-023-01512-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Affiliation(s)
- R Kelly Dawe
- Department of Plant Biology, University of Georgia, Athens, GA, USA.
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26
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Li B, Gschwend AR. Vitis labrusca genome assembly reveals diversification between wild and cultivated grapevine genomes. FRONTIERS IN PLANT SCIENCE 2023; 14:1234130. [PMID: 37719220 PMCID: PMC10501149 DOI: 10.3389/fpls.2023.1234130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 08/03/2023] [Indexed: 09/19/2023]
Abstract
Wild grapevines are important genetic resources in breeding programs to confer adaptive fitness traits and unique fruit characteristics, but the genetics underlying these traits, and their evolutionary origins, are largely unknown. To determine the factors that contributed to grapevine genome diversification, we performed comprehensive intragenomic and intergenomic analyses with three cultivated European (including the PN40024 reference genome) and two wild North American grapevine genomes, including our newly released Vitis labrusca genome. We found the heterozygosity of the cultivated grapevine genomes was twice as high as the wild grapevine genomes studied. Approximately 30% of V. labrusca and 48% of V. vinifera Chardonnay genes were heterozygous or hemizygous and a considerable number of collinear genes between Chardonnay and V. labrusca had different gene zygosity. Our study revealed evidence that supports gene gain-loss events in parental genomes resulted in the inheritance of hemizygous genes in the Chardonnay genome. Thousands of segmental duplications supplied source material for genome-specific genes, further driving diversification of the genomes studied. We found an enrichment of recently duplicated, adaptive genes in similar functional pathways, but differential retention of environment-specific adaptive genes within each genome. For example, large expansions of NLR genes were discovered in the two wild grapevine genomes studied. Our findings support variation in transposable elements contributed to unique traits in grapevines. Our work revealed gene zygosity, segmental duplications, gene gain-and-loss variations, and transposable element polymorphisms can be key driving forces for grapevine genome diversification.
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Affiliation(s)
| | - Andrea R. Gschwend
- Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, United States
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27
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Wang D, Wang H, Xu X, Wang M, Wang Y, Chen H, Ping F, Zhong H, Mu Z, Xie W, Li X, Feng J, Zhang M, Fan Z, Yang T, Zhao J, Liu B, Ruan Y, Zhang G, Liu C, Liu Z. Two complementary genes in a presence-absence variation contribute to indica-japonica reproductive isolation in rice. Nat Commun 2023; 14:4531. [PMID: 37507369 PMCID: PMC10382596 DOI: 10.1038/s41467-023-40189-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Understanding the evolutionary forces in speciation is a central goal in evolutionary biology. Asian cultivated rice has two subspecies, indica and japonica, but the underlying mechanism of the partial reproductive isolation between them remains obscure. Here we show a presence-absence variation (PAV) at the Se locus functions as an indica-japonica reproductive barrier by causing hybrid sterility (HS) in indica-japonica crosses. The locus comprises two adjacent genes: ORF3 encodes a sporophytic pollen killer, whereas ORF4 protects pollen in a gametophytic manner. In F1 of indica-japonica crosses, pollen with the japonica haplotype, which lacks the sequence containing the protective ORF4, is aborted due to the pollen-killing effect of ORF3 from indica. Evolutionary analysis suggests ORF3 is a gene associated with the Asian cultivated rice species complex, and the PAV has contributed to the reproductive isolation between the two subspecies of Asian cultivated rice. Our analyses provide perspectives on rice inter-subspecies post-zygotic isolation, and will promote efforts to overcome reproductive barriers in indica-japonica hybrid rice breeding.
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Affiliation(s)
- Daiqi Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- Key Laboratory of Hunan Provincial on Crop Epigenetic Regulation and Development, Hunan Agricultural University, Changsha, Hunan, 410128, China
- College of Agronomy, Hunan Agricultural University, Changsha, Hunan, 410128, China
| | - Hongru Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomic Insitute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong, 518120, China
| | - Xiaomei Xu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Man Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Yahuan Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Hong Chen
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Fei Ping
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Huanhuan Zhong
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Zhengkun Mu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Wantong Xie
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Xiangyu Li
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Jingbin Feng
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Milan Zhang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Zhilan Fan
- National Field Genebank for Wild Rice (Guangzhou), Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China
| | - Tifeng Yang
- Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China
| | - Junliang Zhao
- Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China
| | - Bin Liu
- Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China
| | - Ying Ruan
- Key Laboratory of Hunan Provincial on Crop Epigenetic Regulation and Development, Hunan Agricultural University, Changsha, Hunan, 410128, China
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, 410128, China
| | - Guiquan Zhang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China
| | - Chunlin Liu
- Key Laboratory of Hunan Provincial on Crop Epigenetic Regulation and Development, Hunan Agricultural University, Changsha, Hunan, 410128, China
- College of Agronomy, Hunan Agricultural University, Changsha, Hunan, 410128, China
| | - Ziqiang Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
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He Q, Tang S, Zhi H, Chen J, Zhang J, Liang H, Alam O, Li H, Zhang H, Xing L, Li X, Zhang W, Wang H, Shi J, Du H, Wu H, Wang L, Yang P, Xing L, Yan H, Song Z, Liu J, Wang H, Tian X, Qiao Z, Feng G, Guo R, Zhu W, Ren Y, Hao H, Li M, Zhang A, Guo E, Yan F, Li Q, Liu Y, Tian B, Zhao X, Jia R, Feng B, Zhang J, Wei J, Lai J, Jia G, Purugganan M, Diao X. A graph-based genome and pan-genome variation of the model plant Setaria. Nat Genet 2023:10.1038/s41588-023-01423-w. [PMID: 37291196 DOI: 10.1038/s41588-023-01423-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 05/08/2023] [Indexed: 06/10/2023]
Abstract
Setaria italica (foxtail millet), a founder crop of East Asian agriculture, is a model plant for C4 photosynthesis and developing approaches to adaptive breeding across multiple climates. Here we established the Setaria pan-genome by assembling 110 representative genomes from a worldwide collection. The pan-genome is composed of 73,528 gene families, of which 23.8%, 42.9%, 29.4% and 3.9% are core, soft core, dispensable and private genes, respectively; 202,884 nonredundant structural variants were also detected. The characterization of pan-genomic variants suggests their importance during foxtail millet domestication and improvement, as exemplified by the identification of the yield gene SiGW3, where a 366-bp presence/absence promoter variant accompanies gene expression variation. We developed a graph-based genome and performed large-scale genetic studies for 68 traits across 13 environments, identifying potential genes for millet improvement at different geographic sites. These can be used in marker-assisted breeding, genomic selection and genome editing to accelerate crop improvement under different climatic conditions.
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Affiliation(s)
- Qiang He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinfeng Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongkai Liang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ornob Alam
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA
| | - Hongbo Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Lihe Xing
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xukai Li
- College of Life Sciences, Shanxi Agricultural University, Taigu, China
| | - Wei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hailong Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junpeng Shi
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Huilong Du
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, China
| | - Hongpo Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liwei Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ping Yang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lu Xing
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Hongshan Yan
- Anyang Academy of Agriculture Sciences, Anyang, China
| | | | - Jinrong Liu
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Haigang Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Xiang Tian
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Zhijun Qiao
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Guojun Feng
- Research Institute of Cereal Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Ruifeng Guo
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Wenjuan Zhu
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Yuemei Ren
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Hongbo Hao
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Mingzhe Li
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Aiying Zhang
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Erhu Guo
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Feng Yan
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Qingquan Li
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Yanli Liu
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Bohong Tian
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Xiaoqin Zhao
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Ruiling Jia
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Baili Feng
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Jiewei Zhang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jinsheng Lai
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA.
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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Xu J, Zhang W, Zhang P, Sun W, Han Y, Li L. A comprehensive analysis of copy number variations in diverse apple populations. BMC Genomics 2023; 24:256. [PMID: 37170226 PMCID: PMC10176694 DOI: 10.1186/s12864-023-09347-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 08/16/2022] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND As an important source of genetic variation, copy number variation (CNV) can alter the dosage of DNA segments, which in turn may affect gene expression level and phenotype. However, our knowledge of CNV in apple is still limited. Here, we obtained high-confidence CNVs and investigated their functional impact based on genome resequencing data of two apple populations, cultivars and wild relatives. RESULTS In this study, we identified 914,610 CNVs comprising 14,839 CNV regions (CNVRs) from 346 apple accessions, including 289 cultivars and 57 wild relatives. CNVRs summed to 71.19 Mb, accounting for 10.03% of the apple genome. Under the low linkage disequilibrium (LD) with nearby SNPs, they could also accurately reflect the population structure of apple independent of SNPs. Furthermore, A total of 3,621 genes were covered by CNVRs and functionally involved in biological processes such as defense response, reproduction and metabolic processes. In addition, the population differentiation index ([Formula: see text]) analysis between cultivars and wild relatives revealed 127 CN-differentiated genes, which may contribute to trait differences in these two populations. CONCLUSIONS This study was based on identification of CNVs from 346 diverse apple accessions, which to our knowledge was the largest dataset for CNV analysis in apple. Our work presented the first comprehensive CNV map and provided valuable resources for understanding genomic variations in apple.
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Affiliation(s)
- Jinsheng Xu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Weihan Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ping Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Weicheng Sun
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuepeng Han
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Wuhan, 430074, China.
- Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Li Li
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
- Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
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30
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Liu Y, Mu Y, Wang W, Ahmed Z, Wei X, Lei C, Ma Z. Analysis of genomic copy number variations through whole-genome scan in Chinese Qaidam cattle. Front Vet Sci 2023; 10:1148070. [PMID: 37065216 PMCID: PMC10103646 DOI: 10.3389/fvets.2023.1148070] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/01/2023] [Indexed: 04/03/2023] Open
Abstract
Qaidam cattle (CDM) are indigenous breed inhabiting Northwest China. In the present study, we newly sequenced 20 Qaidam cattle to investigate the copy number variants (CNVs) based on the ARS-UMD1.2 reference genome. We generated the CNV region (CNVR) datasets to explore the genomic CNV diversity and population stratification. The other four cattle breeds (Xizang cattle, XZ; Kazakh cattle, HSK; Mongolian cattle, MG; and Yanbian cattle, YB) from the regions of North China embracing 43 genomic sequences were collected and are distinguished from each of the other diverse populations by deletions and duplications. We also observed that the number of duplications was significantly more than deletions in the genome, which may be less harmful to gene formation and function. At the same time, only 1.15% of CNVRs overlapped with the exon region. Population differential CNVRs and functional annotations between the Qaidam cattle population and other cattle breeds revealed the functional genes related to immunity (MUC6), growth (ADAMTSL3), and adaptability (EBF2). Our analysis has provided numerous genomic characteristics of some Chinese cattle breeds, which are valuable as customized biological molecular markers in cattle breeding and production.
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Affiliation(s)
- Yangkai Liu
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Yanan Mu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Wenxiang Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Zulfiqar Ahmed
- Faculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Rawalakot, Pakistan
| | - Xudong Wei
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
| | - Chuzhao Lei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
- Chuzhao Lei
| | - Zhijie Ma
- Plateau Livestock Genetic Resources Protection and Innovative Utilization Key Laboratory of Qinghai Province, Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, China
- Key Laboratory of Animal Genetics and Breeding on Tibet Plateau, Ministry of Agriculture and Rural Affairs, Xining, China
- *Correspondence: Zhijie Ma
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31
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Yu S, Liu Z, Li M, Zhou D, Hua P, Cheng H, Fan W, Xu Y, Liu D, Liang S, Zhang Y, Xie M, Tang J, Jiang Y, Hou S, Zhou Z. Resequencing of a Pekin duck breeding population provides insights into the genomic response to short-term artificial selection. Gigascience 2023; 12:giad016. [PMID: 36971291 PMCID: PMC10041536 DOI: 10.1093/gigascience/giad016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 02/04/2023] [Accepted: 02/27/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Short-term, intense artificial selection drives fast phenotypic changes in domestic animals and leaves imprints on their genomes. However, the genetic basis of this selection response is poorly understood. To better address this, we employed the Pekin duck Z2 pure line, in which the breast muscle weight was increased nearly 3-fold after 10 generations of breeding. We denovo assembled a high-quality reference genome of a female Pekin duck of this line (GCA_003850225.1) and identified 8.60 million genetic variants in 119 individuals among 10 generations of the breeding population. RESULTS We identified 53 selected regions between the first and tenth generations, and 93.8% of the identified variations were enriched in regulatory and noncoding regions. Integrating the selection signatures and genome-wide association approach, we found that 2 regions covering 0.36 Mb containing UTP25 and FBRSL1 were most likely to contribute to breast muscle weight improvement. The major allele frequencies of these 2 loci increased gradually with each generation following the same trend. Additionally, we found that a copy number variation region containing the entire EXOC4 gene could explain 1.9% of the variance in breast muscle weight, indicating that the nervous system may play a role in economic trait improvement. CONCLUSIONS Our study not only provides insights into genomic dynamics under intense artificial selection but also provides resources for genomics-enabled improvements in duck breeding.
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Affiliation(s)
- Simeng Yu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zihua Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Dongke Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Ping Hua
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Hong Cheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Wenlei Fan
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yaxi Xu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Dapeng Liu
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Suyun Liang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yunsheng Zhang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Zhengkui Zhou
- State Key Laboratory of Animal Nutrition; Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia. Int J Mol Sci 2023; 24:ijms24065713. [PMID: 36982787 PMCID: PMC10059000 DOI: 10.3390/ijms24065713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 03/19/2023] Open
Abstract
Solanum tuberosum L. (common potato) is one of the most important crops produced almost all over the world. Genomic sequences of potato opens the way for studying the molecular variations related to diversification. We performed a reconstruction of genomic sequences for 15 tetraploid potato cultivars grown in Russia using short reads. Protein-coding genes were identified; conserved and variable parts of pan-genome and the repertoire of the NBS-LRR genes were characterized. For comparison, we used additional genomic sequences for twelve South American potato accessions, performed analysis of genetic diversity, and identified the copy number variations (CNVs) in two these groups of potato. Genomes of Russian potato cultivars were more homogeneous by CNV characteristics and have smaller maximum deletion size in comparison with South American ones. Genes with different CNV occurrences in two these groups of potato accessions were identified. We revealed genes of immune/abiotic stress response, transport and five genes related to tuberization and photoperiod control among them. Four genes related to tuberization and photoperiod were investigated in potatoes previously (phytochrome A among them). A novel gene, homologous to the poly(ADP-ribose) glycohydrolase (PARG) of Arabidopsis, was identified that may be involved in circadian rhythm control and contribute to the acclimatization processes of Russian potato cultivars.
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Wen F, Wang J, Shang D, Yan H, Yuan X, Wang Y, Xia Q, Wang G. Non-classical digestive lipase BmTGL selected by gene amplification reduces the effects of mulberry inhibitor during silkworm domestication. Int J Biol Macromol 2023; 229:589-599. [PMID: 36587639 DOI: 10.1016/j.ijbiomac.2022.12.294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/09/2022] [Accepted: 12/25/2022] [Indexed: 12/31/2022]
Abstract
Efficient utilization of dietary lipids is crucial for Bombyx mori, also known as domesticated silkworms. However, the effects of domestication on the genes encoding lipases remain unknown. In this study, we investigated the expression difference of one triacylglycerol lipase (BmTGL) between B.mori and wild (ancestor) silkworm strains (Bombyx mandarina). An immunofluorescence localization analysis showed that BmTGL was present in all parts of the gut and was released into the intestinal lumen. BmTGL expression was significantly enhanced in different domesticated silkworm strains compared to that in the B. mandarina strains. The BmTGL copy numbers in the genomes of the domesticated silkworm strains were 2-to-3 folds that of the B. mandarina strains and accounted for the enhanced expression of BmTGL in the domesticated silkworm strains. The Ser144Asn substitution in the Ser-Asp-His catalytic triads of BmTGL resulted in relatively lower lipase activity and reduced sensitivity to the lipase inhibitor morachalcone A. Moreover, BmTGL overexpression significantly increased the weights of the B. mori silkworms compared to those of the non-transgenic controls. Thus, the selection of BmTGL by gene amplification may be a trade-off between maintaining high enzymatic activity and reducing the effects of mulberry inhibitors during silkworm domestication.
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Affiliation(s)
- Feng Wen
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Jing Wang
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Deli Shang
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Hao Yan
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Xingli Yuan
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Yuanqiang Wang
- School of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, China
| | - Qingyou Xia
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China
| | - Genhong Wang
- State Key Laboratory of Silkworm Genome Biology, Biological Science Research Center, Southwest University, Chongqing 400715, China; Chongqing Key Laboratory of Sericultural Science, Southwest University, Chongqing 400715, China.
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Zhou Q, Fu Z, Li M, Shen Q, Sun C, Feng Y, Liu Y, Jiang J, Qin T, Mao T, Hearne SJ, Wang G, Tang J. Maize tubulin folding cofactor B is required for cell division and cell growth through modulating microtubule homeostasis. THE NEW PHYTOLOGIST 2023. [PMID: 36843261 DOI: 10.1111/nph.18839] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Tubulin folding cofactors (TFCs) are required for tubulin folding, α/β tubulin heterodimer formation, and microtubule (MT) dynamics in yeast and mammals. However, the functions of their plant counterparts remain to be characterized. We identified a natural maize crumpled kernel mutant, crk2, which exhibits reductions in endosperm cell number and size, as well as embryo/seedling lethality. Map-based cloning and functional complementation confirmed that ZmTFCB is causal for the mutation. ZmTFCB is targeted mainly to the cytosol. It facilitates α-tubulin folding and heterodimer formation through sequential interactions with the cytosolic chaperonin-containing TCP-1 ε subunit ZmCCT5 and ZmTFCE, thus affecting the organization of both the spindle and phragmoplast MT array and the cortical MT polymerization and array formation, which consequently mediated cell division and cell growth. We detected a physical association between ZmTFCB and the maize MT plus-end binding protein END-BINDING1 (ZmEB1), indicating that ZmTFCB1 may modulate MT dynamics by sequestering ZmEB1. Our data demonstrate that ZmTFCB is required for cell division and cell growth through modulating MT homeostasis, an evolutionarily conserved machinery with some species-specific divergence.
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Affiliation(s)
- Qingqian Zhou
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Zhiyuan Fu
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Mengyuan Li
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Qingwen Shen
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Canran Sun
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yijian Feng
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Yang Liu
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Jianjun Jiang
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Tao Qin
- College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Tonglin Mao
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Sarah Jane Hearne
- CIMMYT, KM 45 Carretera Mexico-Veracruz, El Batan, Texcoco, Estado de México, 56237, Mexico
| | - Guifeng Wang
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crops Science/Collaborative Innovation Center of Henan Grain Crops/College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, China
- The Shennong Laboratory, Zhengzhou, Henan, 450002, China
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Fan S, Kong C, Chen Y, Zheng X, Zhou R, Zhang X, Wu X, Zhang W, Ding Y, Yin Z. Copy Number Variation Analysis Revealed the Evolutionary Difference between Chinese Indigenous Pigs and Asian Wild Boars. Genes (Basel) 2023; 14:472. [PMID: 36833399 PMCID: PMC9957247 DOI: 10.3390/genes14020472] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
Copy number variation (CNV) has been widely used to study the evolution of different species. We first discovered different CNVs in 24 Anqingliubai pigs and 6 Asian wild boars using next-generation sequencing at the whole-genome level with 10× depth to understand the relationship between genetic evolution and production traits in wild boars and domestic pigs. A total of 97,489 CNVs were identified and divided into 10,429 copy number variation regions (CNVRs), occupying 32.06% of the porcine genome. Chromosome 1 had the most CNVRs, and chromosome 18 had the least. Ninety-six CNVRs were selected using VST 1% based on the signatures of all CNVRs, and sixty-five genes were identified in the selected regions. These genes were strongly correlated with traits distinguishing groups by enrichment in Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways, such as growth (CD36), reproduction (CIT, RLN), detoxification (CYP3A29), and fatty acid metabolism (ELOVL6). The QTL overlapping regions were associated with meat traits, growth, and immunity, which was consistent with CNV analysis. Our findings increase the understanding of evolved genome structural variations between wild boars and domestic pigs, and provide new molecular biomarkers to guide breeding and the efficient use of available genetic resources.
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Affiliation(s)
- Shuhao Fan
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Chengcheng Kong
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
- School of Pharmacy, Anhui University of Chinese Medicine, Hefei 230036, China
| | - Yige Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xianrui Zheng
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Ren Zhou
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xiaodong Zhang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xudong Wu
- Key Laboratory of Pig Molecular Quantitative Genetics of Anhui Academy of Agricultural Sciences, Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Wei Zhang
- Key Laboratory of Pig Molecular Quantitative Genetics of Anhui Academy of Agricultural Sciences, Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China
| | - Yueyun Ding
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Zongjun Yin
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
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36
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Hu H, Geng Z, Zhang S, Xu Y, Wang Q, Chen S, Zhang B, Sun K, Lu Y. Rare copy number variation analysis identifies disease-related variants in atrioventricular septal defect patients. Front Genet 2023; 14:1075349. [PMID: 36816019 PMCID: PMC9936062 DOI: 10.3389/fgene.2023.1075349] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/25/2023] [Indexed: 02/05/2023] Open
Abstract
Atrioventricular septal defect (AVSD) is a deleterious subtype of congenital heart diseases (CHD) characterized by atrioventricular canal defect. The pathogenic genetic changes of AVSD remain elusive, particularly for copy number variation (CNV), a large segment variation of the genome, which is one of the major forms of genetic variants resulting in congenital heart diseases. In the present study, we recruited 150 AVSD cases and 100 healthy subjects as controls for whole exome sequencing (WES). We identified total 4255 rare CNVs using exon Hidden Markov model (XHMM) and screened rare CNVs by eliminating common CNVs based on controls and Database of Genomic Variants (DGV). Each patient contained at least 9 CNVs, and the CNV burden was prominently presented in chromosomes 19,22,21&16. Small CNVs (<500 kb) were frequently observed. By leveraging gene-based burden test, we further identified 20 candidate AVSD-risk genes. Among them, DYRK1A, OBSCN and TTN were presented in the core disease network of CHD and highly and dynamically expressed in the heart during the development, which indicated they possessed the high potency to be AVSD-susceptible genes. These findings not only provided a roadmap for finally unveiling the genetic cause of AVSD, but also provided more resources and proofs for clinical genetics.
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Affiliation(s)
- Huan Hu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zilong Geng
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shasha Zhang
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuejuan Xu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qingjie Wang
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Sun Chen
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing Zhang
- Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
| | - Kun Sun
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
| | - Yanan Lu
- Department of Pediatric Cardiology, Xin Hua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China,*Correspondence: Bing Zhang, ; Kun Sun, ; Yanan Lu,
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Zheng X, Zhong L, Pang H, Wen S, Li F, Lou D, Ge J, Fan W, Wang T, Han Z, Qiao W, Pan X, Zhu Y, Wang J, Tang C, Wang X, Zhang J, Xu Z, Kim SR, Kohli A, Ye G, Olsen KM, Fang W, Yang Q. Lost genome segments associate with trait diversity during rice domestication. BMC Biol 2023; 21:20. [PMID: 36726089 PMCID: PMC9893545 DOI: 10.1186/s12915-023-01512-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 01/10/2023] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND DNA mutations of diverse types provide the raw material required for phenotypic variation and evolution. In the case of crop species, previous research aimed to elucidate the changing patterns of repetitive sequences, single-nucleotide polymorphisms (SNPs), and small InDels during domestication to explain morphological evolution and adaptation to different environments. Additionally, structural variations (SVs) encompassing larger stretches of DNA are more likely to alter gene expression levels leading to phenotypic variation affecting plant phenotypes and stress resistance. Previous studies on SVs in rice were hampered by reliance on short-read sequencing limiting the quantity and quality of SV identification, while SV data are currently only available for cultivated rice, with wild rice largely uncharacterized. Here, we generated two genome assemblies for O. rufipogon using long-read sequencing and provide insights on the evolutionary pattern and effect of SVs on morphological traits during rice domestication. RESULTS In this study, we identified 318,589 SVs in cultivated and wild rice populations through a comprehensive analysis of 13 high-quality rice genomes and found that wild rice genomes contain 49% of unique SVs and an average of 1.76% of genes were lost during rice domestication. These SVs were further genotyped for 649 rice accessions, their evolutionary pattern during rice domestication and potential association with the diversity of important agronomic traits were examined. Genome-wide association studies between these SVs and nine agronomic traits identified 413 candidate causal variants, which together affect 361 genes. An 824-bp deletion in japonica rice, which encodes a serine carboxypeptidase family protein, is shown to be associated with grain length. CONCLUSIONS We provide relatively accurate and complete SV datasets for cultivated and wild rice accessions, especially in TE-rich regions, by comparing long-read sequencing data for 13 representative varieties. The integrated rice SV map and the identified candidate genes and variants represent valuable resources for future genomic research and breeding in rice.
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Affiliation(s)
- Xiaoming Zheng
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China ,grid.419387.00000 0001 0729 330XInternational Rice Research Institute, DAPO box 7777, Metro Manila, the Philippines ,grid.410727.70000 0001 0526 1937Sanya National Research Institute of Breeding in Hainan, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Limei Zhong
- grid.260463.50000 0001 2182 8825College of life science, Nanchang University, Nanchang, China
| | - Hongbo Pang
- grid.263484.f0000 0004 1759 8467College of Life Science, Shenyang Normal University, Shenyang, China
| | - Siyu Wen
- grid.410727.70000 0001 0526 1937Sanya National Research Institute of Breeding in Hainan, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fei Li
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Danjing Lou
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Jinyue Ge
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Weiya Fan
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Tianyi Wang
- Smartgenomics Technology Institute, Tianjin, China
| | - Zhenyun Han
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Weihua Qiao
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xiaowu Pan
- grid.410598.10000 0004 4911 9766Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha, China
| | - Yebao Zhu
- grid.418033.d0000 0001 2229 4212Rice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China
| | - Jilin Wang
- grid.464380.d0000 0000 9885 0994Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, China
| | - Cuifeng Tang
- grid.410732.30000 0004 1799 1111Biotechnology and Germplasm Resources Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Xinhua Wang
- grid.464347.6Institute of Food Crops, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Jing Zhang
- grid.135769.f0000 0001 0561 6611Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China ,grid.484195.5Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
| | - Zhijian Xu
- grid.452720.60000 0004 0415 7259Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Sung Ryul Kim
- grid.419387.00000 0001 0729 330XInternational Rice Research Institute, DAPO box 7777, Metro Manila, the Philippines
| | - Ajay Kohli
- grid.419387.00000 0001 0729 330XInternational Rice Research Institute, DAPO box 7777, Metro Manila, the Philippines
| | - Guoyou Ye
- grid.419387.00000 0001 0729 330XInternational Rice Research Institute, DAPO box 7777, Metro Manila, the Philippines ,grid.289247.20000 0001 2171 7818Crop Biotech Institute & Department of Genetic Engineering, Kyung Hee University, Yongin, 446-701 Republic of Korea
| | - Kenneth M. Olsen
- grid.4367.60000 0001 2355 7002Biology Department, Washington University, Campus Box 1137, St. Louis, MO 63130 USA
| | - Wei Fang
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Qingwen Yang
- grid.410727.70000 0001 0526 1937National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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Khozyainova AA, Valyaeva AA, Arbatsky MS, Isaev SV, Iamshchikov PS, Volchkov EV, Sabirov MS, Zainullina VR, Chechekhin VI, Vorobev RS, Menyailo ME, Tyurin-Kuzmin PA, Denisov EV. Complex Analysis of Single-Cell RNA Sequencing Data. BIOCHEMISTRY (MOSCOW) 2023; 88:231-252. [PMID: 37072324 PMCID: PMC10000364 DOI: 10.1134/s0006297923020074] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) is a revolutionary tool for studying the physiology of normal and pathologically altered tissues. This approach provides information about molecular features (gene expression, mutations, chromatin accessibility, etc.) of cells, opens up the possibility to analyze the trajectories/phylogeny of cell differentiation and cell-cell interactions, and helps in discovery of new cell types and previously unexplored processes. From a clinical point of view, scRNA-seq facilitates deeper and more detailed analysis of molecular mechanisms of diseases and serves as a basis for the development of new preventive, diagnostic, and therapeutic strategies. The review describes different approaches to the analysis of scRNA-seq data, discusses the advantages and disadvantages of bioinformatics tools, provides recommendations and examples of their successful use, and suggests potential directions for improvement. We also emphasize the need for creating new protocols, including multiomics ones, for the preparation of DNA/RNA libraries of single cells with the purpose of more complete understanding of individual cells.
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Affiliation(s)
- Anna A Khozyainova
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia.
| | - Anna A Valyaeva
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, 119991, Russia
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Mikhail S Arbatsky
- Laboratory of Artificial Intelligence and Bioinformatics, The Russian Clinical Research Center for Gerontology, Pirogov Russian National Medical University, Moscow, 129226, Russia
- School of Public Administration, Lomonosov Moscow State University, Moscow, 119991, Russia
- Faculty of Fundamental Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Sergey V Isaev
- Research Institute of Personalized Medicine, National Center for Personalized Medicine of Endocrine Diseases, National Medical Research Center for Endocrinology, Moscow, 117036, Russia
| | - Pavel S Iamshchikov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia
- Laboratory of Complex Analysis of Big Bioimage Data, National Research Tomsk State University, Tomsk, 634050, Russia
| | - Egor V Volchkov
- Department of Oncohematology, Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, 117198, Russia
| | - Marat S Sabirov
- Laboratory of Bioinformatics and Molecular Genetics, Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, Moscow, 119334, Russia
| | - Viktoria R Zainullina
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia
| | - Vadim I Chechekhin
- Faculty of Fundamental Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Rostislav S Vorobev
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia
| | - Maxim E Menyailo
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia
| | - Pyotr A Tyurin-Kuzmin
- Faculty of Fundamental Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Evgeny V Denisov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, 634050, Russia
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Zhou H, Wang Y, Zhang Z, Xiong L, Liu Z, Wen Y. A novel prognostic gene set for colon adenocarcinoma relative to the tumor microenvironment, chemotherapy, and immune therapy. Front Genet 2023; 13:975404. [PMID: 36699444 PMCID: PMC9868701 DOI: 10.3389/fgene.2022.975404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 12/21/2022] [Indexed: 01/11/2023] Open
Abstract
Background: Colon adenocarcinoma (COAD) is a common aggressive malignant tumor. Heterogeneity in tumorigenesis and therapy response leads to an unsatisfactory overall survival of colon adenocarcinoma patients. Our study aimed to identify tools for a better prediction of colon adenocarcinoma prognosis, bolstering the development of a better personalized treatment and management. Method: We used the least absolute shrinkage and selection operator (LASSO) Cox model to analyze the prognosis-related gene datasets from the Gene Expression Omnibus (GEO) database and verified them using The Cancer Genome Atlas (TCGA) database. The area under the curve (AUC) was calculated using the receiver operating characteristic (ROC) curve to evaluate the predictive ability of the risk score model. Gene Set Enrichment Analysis (GSEA) was used to identify the significantly enriched and depleted biological processes. The tumor immune dysfunction and exclusion (TIDE) algorithm was taken to explore the relationship between the risk score and immunotherapy. The observations collectively helped us construct a nomogram to predict prognosis. Finally, the correlation between drug sensitivity and prognostic gene sets was conducted based on the Cancer Therapeutics Response Portal (CTRP) analyses. Results: We constructed a scoring model to assess the significance of the prognosis risk-related gene signatures, which was relative to common tumor characteristics and tumor mutational burdens. Patients with a high-risk score had higher tumor stage and poor prognosis (p< 0.05). Moreover, the expressions of these genes were in correlation with changes in the tumor microenvironment (TME). The risk score is an independent prognostic factor for COAD (p< 0.05). The accuracy of the novel nomogram model with a risk score and TNM-stage prediction prognosis in the predicting prognosis was higher than that of the TNM stage. Further analysis showed that a high-risk score was associated with tumor immune rejection. Patients with a low-risk score have a better prognosis with chemotherapy than those with a high-risk score. Compared to patients in the high-risk group, patients in the low-risk group had a significant survival advantage after receiving chemotherapy. In addition, the prognostic gene sets aid the assessment of drug sensitivity. Conclusion: This study establishes a new prognostic model to better predict the clinical outcome and TME characteristics of colon adenocarcinoma. We believe, our model also serves as a useful clinical tool to strengthen the functioning of chemotherapy, immunotherapy, and targeted drugs.
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Affiliation(s)
| | | | | | | | | | - Yu Wen
- *Correspondence: Zhongtao Liu, ; Yu Wen,
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40
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Zhang W, Tan C, Hu H, Pan R, Xiao Y, Ouyang K, Zhou G, Jia Y, Zhang X, Hill CB, Wang P, Chapman B, Han Y, Xu L, Xu Y, Angessa T, Luo H, Westcott S, Sharma D, Nevo E, Barrero RA, Bellgard MI, He T, Tian X, Li C. Genome architecture and diverged selection shaping pattern of genomic differentiation in wild barley. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:46-62. [PMID: 36054248 PMCID: PMC9829399 DOI: 10.1111/pbi.13917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/09/2022] [Accepted: 08/19/2022] [Indexed: 06/15/2023]
Abstract
Divergent selection of populations in contrasting environments leads to functional genomic divergence. However, the genomic architecture underlying heterogeneous genomic differentiation remains poorly understood. Here, we de novo assembled two high-quality wild barley (Hordeum spontaneum K. Koch) genomes and examined genomic differentiation and gene expression patterns under abiotic stress in two populations. These two populations had a shared ancestry and originated in close geographic proximity but experienced different selective pressures due to their contrasting micro-environments. We identified structural variants that may have played significant roles in affecting genes potentially associated with well-differentiated phenotypes such as flowering time and drought response between two wild barley genomes. Among them, a 29-bp insertion into the promoter region formed a cis-regulatory element in the HvWRKY45 gene, which may contribute to enhanced tolerance to drought. A single SNP mutation in the promoter region may influence HvCO5 expression and be putatively linked to local flowering time adaptation. We also revealed significant genomic differentiation between the two populations with ongoing gene flow. Our results indicate that SNPs and small SVs link to genetic differentiation at the gene level through local adaptation and are maintained through divergent selection. In contrast, large chromosome inversions may have shaped the heterogeneous pattern of genomic differentiation along the chromosomes by suppressing chromosome recombination and gene flow. Our research offers novel insights into the genomic basis underlying local adaptation and provides valuable resources for the genetic improvement of cultivated barley.
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Affiliation(s)
- Wenying Zhang
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Cong Tan
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Haifei Hu
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Rui Pan
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Yuhui Xiao
- Grandomics Biotechnology Co., LtdWuhanChina
| | - Kai Ouyang
- Grandomics Biotechnology Co., LtdWuhanChina
| | - Gaofeng Zhou
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Yong Jia
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Xiao‐Qi Zhang
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Camilla Beate Hill
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Penghao Wang
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Brett Chapman
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Yong Han
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Le Xu
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Yanhao Xu
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Tefera Angessa
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Hao Luo
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Sharon Westcott
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Darshan Sharma
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
| | - Eviatar Nevo
- Institute of EvolutionUniversity of HaifaHaifaIsrael
| | - Roberto A. Barrero
- eResearch OfficeQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Matthew I. Bellgard
- eResearch OfficeQueensland University of TechnologyBrisbaneQueenslandAustralia
| | - Tianhua He
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - Xiaohai Tian
- Hubei Collaborative Innovation Centre for Grain IndustryYangtze UniversityJingzhouChina
| | - Chengdao Li
- Western Crop Genetics Alliance, Future Food Institute, Western Australian State Agricultural Biotechnology Centre, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
- Department of Primary Industries and Regional DevelopmentSouth PerthWestern AustraliaAustralia
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41
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Wang Y, Li F, Zhang F, Wu L, Xu N, Sun Q, Chen H, Yu Z, Lu J, Jiang K, Wang X, Wen S, Zhou Y, Zhao H, Jiang Q, Wang J, Jia R, Sun J, Tang L, Xu H, Hu W, Xu Z, Chen W, Guo A, Xu Q. Time-ordering japonica/geng genomes analysis indicates the importance of large structural variants in rice breeding. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:202-218. [PMID: 36196761 PMCID: PMC9829401 DOI: 10.1111/pbi.13938] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/23/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
Temperate japonica/geng (GJ) rice yield has significantly improved due to intensive breeding efforts, dramatically enhancing global food security. However, little is known about the underlying genomic structural variations (SVs) responsible for this improvement. We compared 58 long-read assemblies comprising cultivated and wild rice species in the present study, revealing 156 319 SVs. The phylogenomic analysis based on the SV dataset detected the putatively selected region of GJ sub-populations. A significant portion of the detected SVs overlapped with genic regions were found to influence the expression of involved genes inside GJ assemblies. Integrating the SVs and causal genetic variants underlying agronomic traits into the analysis enables the precise identification of breeding signatures resulting from complex breeding histories aimed at stress tolerance, yield potential and quality improvement. Further, the results demonstrated genomic and genetic evidence that the SV in the promoter of LTG1 is accounting for chilling sensitivity, and the increased copy numbers of GNP1 were associated with positive effects on grain number. In summary, the current study provides genomic resources for retracing the properties of SVs-shaped agronomic traits during previous breeding procedures, which will assist future genetic, genomic and breeding research on rice.
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Affiliation(s)
- Yu Wang
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Fengcheng Li
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Fan Zhang
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Lian Wu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Na Xu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Qi Sun
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Hao Chen
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Zhiwen Yu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Jiahao Lu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Kai Jiang
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Xiaoche Wang
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Siyu Wen
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Yao Zhou
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Hui Zhao
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Qian Jiang
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | | | - Ruizong Jia
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Jian Sun
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Liang Tang
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Hai Xu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Wei Hu
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Zhengjin Xu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Wenfu Chen
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
| | - Anping Guo
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction Regions, Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikouChina
| | - Quan Xu
- Rice Research Institute of Shenyang Agricultural UniversityShenyangChina
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Hou Y, Chen S, Zheng Y, Zheng X, Lin JM. Droplet-based digital PCR (ddPCR) and its applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Pokrovac I, Pezer Ž. Recent advances and current challenges in population genomics of structural variation in animals and plants. Front Genet 2022; 13:1060898. [PMID: 36523759 PMCID: PMC9745067 DOI: 10.3389/fgene.2022.1060898] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/15/2022] [Indexed: 05/02/2024] Open
Abstract
The field of population genomics has seen a surge of studies on genomic structural variation over the past two decades. These studies witnessed that structural variation is taxonomically ubiquitous and represent a dominant form of genetic variation within species. Recent advances in technology, especially the development of long-read sequencing platforms, have enabled the discovery of structural variants (SVs) in previously inaccessible genomic regions which unlocked additional structural variation for population studies and revealed that more SVs contribute to evolution than previously perceived. An increasing number of studies suggest that SVs of all types and sizes may have a large effect on phenotype and consequently major impact on rapid adaptation, population divergence, and speciation. However, the functional effect of the vast majority of SVs is unknown and the field generally lacks evidence on the phenotypic consequences of most SVs that are suggested to have adaptive potential. Non-human genomes are heavily under-represented in population-scale studies of SVs. We argue that more research on other species is needed to objectively estimate the contribution of SVs to evolution. We discuss technical challenges associated with SV detection and outline the most recent advances towards more representative reference genomes, which opens a new era in population-scale studies of structural variation.
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Affiliation(s)
| | - Željka Pezer
- Laboratory for Evolutionary Genetics, Division of Molecular Biology, Ruđer Bošković Institute, Zagreb, Croatia
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Pourkheirandish M, Komatsuda T. Grain Disarticulation in Wild Wheat and Barley. PLANT & CELL PHYSIOLOGY 2022; 63:1584-1591. [PMID: 35765920 PMCID: PMC9680857 DOI: 10.1093/pcp/pcac091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 06/17/2022] [Accepted: 08/04/2022] [Indexed: 05/26/2023]
Abstract
Our industrial-scale crop monocultures, which are necessary to provide grain for large-scale food and feed production, are highly vulnerable to biotic and abiotic stresses. Crop wild relatives have adapted to harsh environmental conditions over millennia; thus, they are an important source of genetic variation and crop diversification. Despite several examples where significant yield increases have been achieved through the introgression of genomic regions from wild relatives, more detailed understanding of the differences between wild and cultivated species for favorable and unfavorable traits is still required to harness these valuable resources. Recently, as an alternative to the introgression of beneficial alleles from the wild into domesticated species, a radical suggestion is to domesticate wild relatives to generate new crops. A first and critical step for the domestication of cereal wild relatives would be to prevent grain disarticulation from the inflorescence at maturity. Discovering the molecular mechanisms and understanding the network of interactions behind grain retention/disarticulation would enable the implementation of approaches to select for this character in targeted species. Brittle rachis 1 and Brittle rachis 2 are major genes responsible for grain disarticulation in the wild progenitors of wheat and barley that were the target of mutations during domestication. These two genes are only found in the Triticeae tribe and are hypothesized to have evolved by a duplication followed by neo-functionalization. Current knowledge gaps include the molecular mechanisms controlling grain retention in cereals and the genomic consequences of strong selection for this essential character.
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Affiliation(s)
| | - Takao Komatsuda
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, China
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Bohra A, Tiwari A, Kaur P, Ganie SA, Raza A, Roorkiwal M, Mir RR, Fernie AR, Smýkal P, Varshney RK. The Key to the Future Lies in the Past: Insights from Grain Legume Domestication and Improvement Should Inform Future Breeding Strategies. PLANT & CELL PHYSIOLOGY 2022; 63:1554-1572. [PMID: 35713290 PMCID: PMC9680861 DOI: 10.1093/pcp/pcac086] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/09/2022] [Accepted: 06/15/2022] [Indexed: 05/11/2023]
Abstract
Crop domestication is a co-evolutionary process that has rendered plants and animals significantly dependent on human interventions for survival and propagation. Grain legumes have played an important role in the development of Neolithic agriculture some 12,000 years ago. Despite being early companions of cereals in the origin and evolution of agriculture, the understanding of grain legume domestication has lagged behind that of cereals. Adapting plants for human use has resulted in distinct morpho-physiological changes between the wild ancestors and domesticates, and this distinction has been the focus of several studies aimed at understanding the domestication process and the genetic diversity bottlenecks created. Growing evidence from research on archeological remains, combined with genetic analysis and the geographical distribution of wild forms, has improved the resolution of the process of domestication, diversification and crop improvement. In this review, we summarize the significance of legume wild relatives as reservoirs of novel genetic variation for crop breeding programs. We describe key legume features, which evolved in response to anthropogenic activities. Here, we highlight how whole genome sequencing and incorporation of omics-level data have expanded our capacity to monitor the genetic changes accompanying these processes. Finally, we present our perspective on alternative routes centered on de novo domestication and re-domestication to impart significant agronomic advances of novel crops over existing commodities. A finely resolved domestication history of grain legumes will uncover future breeding targets to develop modern cultivars enriched with alleles that improve yield, quality and stress tolerance.
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Affiliation(s)
- Abhishek Bohra
- State Agricultural Biotechnology Centre, Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
| | - Abha Tiwari
- Crop Improvement Division, ICAR-Indian Institute of Pulses Research (ICAR-IIPR), Kalyanpur, Kanpur 208024, India
| | - Parwinder Kaur
- UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia
| | - Showkat Ahmad Ganie
- Department of Biotechnology, Visva-Bharati, Santiniketan, Santiniketan Road, Bolpur 731235, India
| | - Ali Raza
- Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops, Center of Legume Crop Genetics and Systems Biology/College of Agriculture, Oil Crops Research Institute, Fujian Agriculture and Forestry University (FAFU), Fuzhou 350002, China
| | - Manish Roorkiwal
- Khalifa Center for Genetic Engineering and Biotechnology (KCGEB), UAE University, Sheik Khalifa Bin Zayed Street, Al Ain, Abu Dhabi 15551, UAE
| | - Reyazul Rouf Mir
- Division of Genetics & Plant Breeding, Faculty of Agriculture, SKUAST, Shalimar, Srinagar 190025, India
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany
| | - Petr Smýkal
- Department of Botany, Faculty of Sciences, Palacky University, Křížkovského 511/8, Olomouc 78371, Czech Republic
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Genomic Variation Underlying the Breeding Selection of Quinoa Varieties Longli-4 and CA3-1 in China. Int J Mol Sci 2022; 23:ijms232214030. [PMID: 36430511 PMCID: PMC9693436 DOI: 10.3390/ijms232214030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/05/2022] [Accepted: 11/06/2022] [Indexed: 11/16/2022] Open
Abstract
Quinoa (Chenopodium quinoa) is a well-known climate-resilient crop and has been introduced into multiple marginal lands across the world, including China, to improve food security and/or balanced nutrient supplies. Conventional breeding has been widely applied in the selection and breeding of quinoa varieties in China since 1980s; however, few studies have been implemented on the genetic variances among different varieties developed by diversity breeding objectives. In this study, the phenotypic and genetic differences between two varieties (Longli-4 and CA3-1) from China were systematically analyzed. A total of 407,651 and 2,731,411 single nucleotide polymorphisms (SNPs) and 212,724 and 587,935 small insertion and deletion (INDELs) were detected for Longli-4 and CA3-1, respectively, when compared with the reference genome of PI614886. The SNPs/INDELs were unevenly distributed across each chromosome for both varieties. There were 143,996 SNPs and 83,410 INDELs shared between Longli-4 and CA3-1, accounting for 4% of the total variances. The variation was then screened based on the SNP effects. There were 818 and 73 genes with the variety-specific non-synonymous and stop-gain variation in Longli-4, whereas there were 13,701 and 733 genes in CA3-1. Specifically, 3501 genes with the non-synonymous variation and 74 genes with the stop-gain variation were found in both Longli-4 and CA3-1. These results suggest that convergent selection occurred during the different breeding processes. A set of candidate genes related to agronomic traits and domestication were further selected to detect the genetic divergence in detail in the two varieties. Only one domestication gene was identified having Longli-4-specific stop-gain variation. Twelve candidate genes related to betalain (1), flowering (4), seed size (2), domestication (1), and saponin (4) were identified having CA3-1-specific stop-gain variation. Interestingly, one seed size gene homologous of CKX1 (cytokinin oxidase/dehydrogenase 1) had the stop-gain variation in both varieties. This research will therefore provide guidance for the molecular-assisted breeding in quinoa.
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Xu N, Xu H, Xu Z, Li F, Xu Q. Introgression of a Complex Genomic Structural Variation Causes Hybrid Male Sterility in GJ Rice ( Oryza sativa L.) Subspecies. Int J Mol Sci 2022; 23:ijms232112804. [PMID: 36361593 PMCID: PMC9656383 DOI: 10.3390/ijms232112804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 10/19/2022] [Accepted: 10/22/2022] [Indexed: 11/26/2022] Open
Abstract
Hybrids between different subspecies of rice Oryza sativa L. commonly show hybrid sterility. Here we show that a widely planted commercial japonica/GJ variety, DHX2, exhibited hybrid sterility when crossing with other GJ varieties. Using the high-quality genome assembly, we identified three copies of the Sc gene in DHX2, whereas Nipponbare (Nip) had only one copy of Sc. Knocking out the extra copies of Sc in DHX2 significantly improved the pollen fertility of the F1 plant of DHX2/Nip cross. The population structure analysis revealed that a slight introgression from Basmati1 might occur in the genome of DHX2. We demonstrated that both DHX2 and Basmati1 harbored three copies of Sc. Moreover, the introgression of GS3 and BADH2/fgr from Basmati1 confers the slender and fragrance grain of DHX2. These results add to our understanding of the hybrid sterility of inter-subspecies and intra-subspecies and may provide a novel strategy for hybrid breeding.
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Affiliation(s)
| | | | | | | | - Quan Xu
- Correspondence: (F.L.); (Q.X.)
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48
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Yan M, Nie H, Wang Y, Wang X, Jarret R, Zhao J, Wang H, Yang J. Exploring and exploiting genetics and genomics for sweetpotato improvement: Status and perspectives. PLANT COMMUNICATIONS 2022; 3:100332. [PMID: 35643086 PMCID: PMC9482988 DOI: 10.1016/j.xplc.2022.100332] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/17/2022] [Accepted: 05/02/2022] [Indexed: 05/14/2023]
Abstract
Sweetpotato (Ipomoea batatas (L.) Lam.) is one of the most important root crops cultivated worldwide. Because of its adaptability, high yield potential, and nutritional value, sweetpotato has become an important food crop, particularly in developing countries. To ensure adequate crop yields to meet increasing demand, it is essential to enhance the tolerance of sweetpotato to environmental stresses and other yield-limiting factors. The highly heterozygous hexaploid genome of I. batatas complicates genetic studies and limits improvement of sweetpotato through traditional breeding. However, application of next-generation sequencing and high-throughput genotyping and phenotyping technologies to sweetpotato genetics and genomics research has provided new tools and resources for crop improvement. In this review, we discuss the genomics resources that are available for sweetpotato, including the current reference genome, databases, and available bioinformatics tools. We systematically review the current state of knowledge on the polyploid genetics of sweetpotato, including studies of its origin and germplasm diversity and the associated mapping of important agricultural traits. We then outline the conventional and molecular breeding approaches that have been applied to sweetpotato. Finally, we discuss future goals for genetic studies of sweetpotato and crop improvement via breeding in combination with state-of-the-art multi-omics approaches such as genomic selection and gene editing. These approaches will advance and accelerate genetic improvement of this important root crop and facilitate its sustainable global production.
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Affiliation(s)
- Mengxiao Yan
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China
| | - Haozhen Nie
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China
| | - Yunze Wang
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Xinyi Wang
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | | | - Jiamin Zhao
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; College of Life Sciences, Shanghai Normal University, Shanghai 200234, China
| | - Hongxia Wang
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, China; National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China.
| | - Jun Yang
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai 201602, 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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Hu L, Zhang L, Li Q, Liu H, Xu T, Zhao N, Han X, Xu S, Zhao X, Zhang C. Genome-wide analysis of CNVs in three populations of Tibetan sheep using whole-genome resequencing. Front Genet 2022; 13:971464. [PMID: 36160022 PMCID: PMC9490000 DOI: 10.3389/fgene.2022.971464] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 08/23/2022] [Indexed: 01/29/2023] Open
Abstract
Copy number variation (CNV), an important source of genomic structural variation, can disturb genetic structure, dosage, regulation and expression, and is associated with phenotypic diversity and adaptation to local environments in mammals. In the present study, 24 resequencing datasets were used to characterize CNVs in three ecotypic populations of Tibetan sheep and assess CNVs related to domestication and adaptation in Qinghai-Tibetan Plateau. A total of 87,832 CNV events accounting for 0.3% of the sheep genome were detected. After merging the overlapping CNVs, 2777 CNV regions (CNVRs) were obtained, among which 1098 CNVRs were shared by the three populations. The average length of these CNVRs was more than 3 kb, and duplication events were more frequent than deletions. Functional analysis showed that the shared CNVRs were significantly enriched in 56 GO terms and 18 KEGG pathways that were mainly concerned with ABC transporters, olfactory transduction and oxygen transport. Moreover, 188 CNVRs overlapped with 97 quantitative trait loci (QTLs), such as growth and carcass QTLs, immunoglobulin QTLs, milk yield QTLs and fecal egg counts QTLs. PCDH15, APP and GRID2 overlapped with body weight QTLs. Furthermore, Vst analysis showed that RUNX1, LOC101104348, LOC105604082 and PAG11 were highly divergent between Highland-type Tibetan Sheep (HTS) and Valley-type Tibetan sheep (VTS), and RUNX1 and LOC101111988 were significantly differentiated between VTS and Oura-type Tibetan sheep (OTS). The duplication of RUNX1 may facilitate the hypoxia adaptation of OTS and HTS in Qinghai-Tibetan Plateau, which deserves further research in detail. In conclusion, for the first time, we represented the genome-wide distribution characteristics of CNVs in Tibetan sheep by resequencing, and provided a valuable genetic variation resource, which will facilitate the elucidation of the genetic basis underlying the distinct phenotypic traits and local adaptation of Tibetan sheep.
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Affiliation(s)
- Linyong Hu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Liangzhi Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Qi Li
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Hongjin Liu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Tianwei Xu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Na Zhao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Xueping Han
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Technology Extension Service of Animal Husbandry of Qinghai, Xining, China
| | - Shixiao Xu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Xinquan Zhao
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Cunfang Zhang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
- *Correspondence: Cunfang Zhang,
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50
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Fiol A, Jurado-Ruiz F, López-Girona E, Aranzana MJ. An efficient CRISPR-Cas9 enrichment sequencing strategy for characterizing complex and highly duplicated genomic regions. A case study in the Prunus salicina LG3-MYB10 genes cluster. PLANT METHODS 2022; 18:105. [PMID: 36030243 PMCID: PMC9419362 DOI: 10.1186/s13007-022-00937-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Genome complexity is largely linked to diversification and crop innovation. Examples of regions with duplicated genes with relevant roles in agricultural traits are found in many crops. In both duplicated and non-duplicated genes, much of the variability in agronomic traits is caused by large as well as small and middle scale structural variants (SVs), which highlights the relevance of the identification and characterization of complex variability between genomes for plant breeding. RESULTS Here we improve and demonstrate the use of CRISPR-Cas9 enrichment combined with long-read sequencing technology to resolve the MYB10 region in the linkage group 3 (LG3) of Japanese plum (Prunus salicina). This region, which has a length from 90 to 271 kb according to the P. salicina genomes available, is associated with fruit color variability in Prunus species. We demonstrate the high complexity of this region, with homology levels between Japanese plum varieties comparable to those between Prunus species. We cleaved MYB10 genes in five plum varieties using the Cas9 enzyme guided by a pool of crRNAs. The barcoded fragments were then pooled and sequenced in a single MinION Oxford Nanopore Technologies (ONT) run, yielding 194 Mb of sequence. The enrichment was confirmed by aligning the long reads to the plum reference genomes, with a mean read on-target value of 4.5% and a depth per sample of 11.9x. From the alignment, 3261 SNPs and 287 SVs were called and phased. A de novo assembly was constructed for each variety, which also allowed detection, at the haplotype level, of the variability in this region. CONCLUSIONS CRISPR-Cas9 enrichment is a versatile and powerful tool for long-read targeted sequencing even on highly duplicated and/or polymorphic genomic regions, being especially useful when a reference genome is not available. Potential uses of this methodology as well as its limitations are further discussed.
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Affiliation(s)
- Arnau Fiol
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain
| | - Federico Jurado-Ruiz
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain
| | - Elena López-Girona
- The New Zealand Institute for Plant and Food Research Limited (Plant & Food Research), Private Bag 11600, Palmerston North, 4442, New Zealand
| | - Maria José Aranzana
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain.
- Institut de Recerca I Tecnologia Agroalimentàries, Barcelona, Spain.
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