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Itoo H, Shah RA, Qurat S, Jeelani A, Khursheed S, Bhat ZA, Mir MA, Rather GH, Zargar SM, Shah MD, Padder BA. Genome-wide characterization and development of SSR markers for genetic diversity analysis in northwestern Himalayas Walnut ( Juglans regia L.). 3 Biotech 2023; 13:136. [PMID: 37124992 PMCID: PMC10130282 DOI: 10.1007/s13205-023-03563-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 04/15/2023] [Indexed: 05/02/2023] Open
Abstract
In the present study, we designed and validated genome-wide polymorphic SSR markers (110 SSRs) by mining the walnut genome. A total of 198,924 SSR loci were identified. Among these, successful primers were designed for 162,594 (81.73%) SSR loci. Dinucleotides were the most predominant accounting for 88.40% (175,075) of total SSRs. The SSR frequency was 377.312 SSR/Mb and it showed a decreasing trend from dinucleotide to octanucleotide motifs. We identified 20 highly polymorphic SSR markers and used them to genotype 72 walnut accessions. Over all, we obtained 118 alleles that ranged from 2 to 12 with an average value of 5.9. The higher SSR PIC values indicate their robustness in discriminating walnut genotypes. Heat map, PCA, and population structure categorized 72 walnut genotypes into 2 distinct clusters. The genetic variation within population was higher than among population as inferred by analysis of molecular variance (AMOVA). For walnut improvement, it is necessary to have a large repository of SSRs with high discriminative power. The present study reports 150,000 SSRs, which is the largest SSR repository for this important nut crop. Scientific communities may use this repository for walnut improvement such as QTL mapping, genetic studies, linkage map construction, and marker-assisted selection. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03563-6.
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Affiliation(s)
- H. Itoo
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - Rafiq Ahmad Shah
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - S. Qurat
- Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Faculty of Horticulture, Shalimar, Kashmir, Srinagar, J&K 190 025 India
| | - Afnan Jeelani
- Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Faculty of Horticulture, Shalimar, Kashmir, Srinagar, J&K 190 025 India
| | - Sheikh Khursheed
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - Zahoor A. Bhat
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - M. A. Mir
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - G. H. Rather
- Ambri Apple Research Centre, Pahnoo Shopian, Sheri-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, J&K 192303 India
| | - Sajad Majeed Zargar
- Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Faculty of Horticulture, Shalimar, Kashmir, Srinagar, J&K 190 025 India
| | - M. D. Shah
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Kashmir, 190 025 Srinagar, J&K India
| | - Bilal A. Padder
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Kashmir, 190 025 Srinagar, J&K India
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Tan C, Zhang H, Chen H, Guan M, Zhu Z, Cao X, Ge X, Zhu B, Chen D. First Report on Development of Genome-Wide Microsatellite Markers for Stock ( Matthiola incana L.). PLANTS (BASEL, SWITZERLAND) 2023; 12:748. [PMID: 36840095 PMCID: PMC9965543 DOI: 10.3390/plants12040748] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed to support the further elucidation of the biology and genetics of M. incana. In this study, a high-quality genome of M. incana was initially assembled and a set of effective SSR primers was developed at the whole-genome level using genome data. A total of 45,612 loci of SSRs were identified; the di-nucleotide motifs were the most abundant (77.35%). In total, 43,540 primer pairs were designed, of which 300 were randomly selected for PCR validation, and as the success rate for amplification. In addition, 22 polymorphic SSR markers were used to analyze the genetic diversity of 40 stock varieties. Clustering analysis showed that all varieties could be divided into two clusters with a genetic distance of 0.68, which were highly consistent with their flower shape (potted or cut type). Moreover, we have verified that these SSR markers are effective and transferable within the Brassicaceae family. In this study, potential SSR molecular markers were successfully developed for 40 M. incana varieties using whole genome analysis, providing an important genetic tool for theoretical and applied research on M. incana.
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Affiliation(s)
- Chen Tan
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Haimei Zhang
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Haidong Chen
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Miaotian Guan
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Zhenzhi Zhu
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Xueying Cao
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Xianhong Ge
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 431700, China
| | - Bo Zhu
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
| | - Daozong Chen
- College of Life Sciences, Gannan Normal University, Ganzhou 341000, China
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Zhang X, Li B, Duan R, Han C, Wang L, Yang J, Wang L, Wang S, Su Y, Xue H. Transcriptome Analysis Reveals Roles of Sucrose in Anthocyanin Accumulation in 'Kuerle Xiangli' ( Pyrus sinkiangensis Yü). Genes (Basel) 2022; 13:genes13061064. [PMID: 35741826 PMCID: PMC9222499 DOI: 10.3390/genes13061064] [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: 04/27/2022] [Revised: 06/10/2022] [Accepted: 06/12/2022] [Indexed: 12/02/2022] Open
Abstract
Pear (Pyrus L.) is one of the most important temperate fruit crops worldwide, with considerable economic value and significant health benefits. Red-skinned pears have an attractive appearance and relatively high anthocyanin accumulation, and are especially favored by customers. Abnormal weather conditions usually reduce the coloration of red pears. The application of exogenous sucrose obviously promotes anthocyanins accumulation in ‘Kuerle Xiangli’ (Pyrus sinkiangensis Yü); however, the underlying molecular mechanism of sucrose-mediated fruit coloration remains largely unknown. In this study, comprehensive transcriptome analysis was performed to identify the essential regulators and pathways associated with anthocyanin accumulation. The differentially expressed genes enriched in Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes items were analyzed. The transcript levels of some anthocyanin biosynthetic regulatory genes and structural genes were significantly induced by sucrose treatment. Sucrose application also stimulated the expression of some sugar transporter genes. Further RT-qPCR analysis confirmed the induction of anthocyanin biosynthetic genes. Taken together, the results revealed that sucrose promotes pear coloration most likely by regulating sugar metabolism and anthocyanin biosynthesis, and this study provides a comprehensive understanding of the complex molecular mechanisms underlying the coloration of red-skinned pear.
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Affiliation(s)
- Xiangzhan Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Bo Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Ruiwei Duan
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Chunhong Han
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- College of Horticulture and Plant Conservation, Henan University of Science and Technology, Luoyang 471023, China
| | - Lei Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Jian Yang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Long Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Suke Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Yanli Su
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
| | - Huabai Xue
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China; (X.Z.); (B.L.); (R.D.); (C.H.); (L.W.); (J.Y.); (L.W.); (S.W.); (Y.S.)
- Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture and Rural Affairs, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Henan Key Laboratory of Fruit and Cucurbit Biology, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou 450009, China
- Correspondence:
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Tang J, Yao D, Zhou H, Du L, Daroch M. Reevaluation of Parasynechococcus-like Strains and Genomic Analysis of Their Microsatellites and Compound Microsatellites. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11081060. [PMID: 35448788 PMCID: PMC9024877 DOI: 10.3390/plants11081060] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 05/28/2023]
Abstract
Morphologically similar to Synechococcus, a large number of Parasynechococcus strains were misclassified, resulting in extreme underestimation of their genetic diversity. In this study, 80 Synechococcus-like strains were reevaluated using a combination of 16S rRNA phylogeny and genomic approach, identifying 54 strains as Parasynechococcus-like strains and showing considerably intragenus genetic divergence among the subclades identified. Further, bioinformatics analysis disclosed diversified patterns of distribution, abundance, density, and diversity of microsatellites (SSRs) and compound microsatellites (CSSRs) in genomes of these Parasynechococcus-like strains. Variations of SSRs and CSSRs were observed amongst phylotypes and subclades. Both SSRs and CSSRs were in particular unequally distributed among genomes. Dinucleotide SSRs were the most widespread, while the genomes showed two patterns in the second most abundant repeat type (mononucleotide or trinucleotide SSRs). Both SSRs and CSSRs were predominantly observed in coding regions. These two types of microsatellites showed positive correlation with genome size (p < 0.01) but negative correlation with GC content (p < 0.05). Additionally, the motif (A)n, (AG)n and (AGC)n was a major one in the corresponding category. Meanwhile, distinctive motifs of CSSRs were found in 39 genomes. This study characterizes SSRs and CSSRs in genomes of Parasynechococcus-like strains and will be useful as a prerequisite for future studies regarding their distribution, function, and evolution. Moreover, the identified SSRs may facilitate fast acclimation of Parasynechococcus-like strains to fluctuating environments and contribute to the extensive distribution of Parasynechococcus species in global marine environments.
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Affiliation(s)
- Jie Tang
- School of Food and Bioengineering, Chengdu University, Chengdu 610106, China; (J.T.); (D.Y.); (H.Z.); (L.D.)
| | - Dan Yao
- School of Food and Bioengineering, Chengdu University, Chengdu 610106, China; (J.T.); (D.Y.); (H.Z.); (L.D.)
| | - Huizhen Zhou
- School of Food and Bioengineering, Chengdu University, Chengdu 610106, China; (J.T.); (D.Y.); (H.Z.); (L.D.)
| | - Lianming Du
- School of Food and Bioengineering, Chengdu University, Chengdu 610106, China; (J.T.); (D.Y.); (H.Z.); (L.D.)
| | - Maurycy Daroch
- School of Environment and Energy, Peking University Shenzhen Graduate School, 2199 Lishui Road, Shenzhen 518055, China
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Xu Y, Xing M, Song L, Yan J, Lu W, Zeng A. Genome-Wide Analysis of Simple Sequence Repeats in Cabbage ( Brassica oleracea L.). FRONTIERS IN PLANT SCIENCE 2021; 12:726084. [PMID: 34956251 PMCID: PMC8695497 DOI: 10.3389/fpls.2021.726084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 11/15/2021] [Indexed: 06/14/2023]
Abstract
Cabbage (Brassica oleracea L. var. capitata) accounts for a critical vegetable crop belonging to Brassicaceae family, and it has been extensively planted worldwide. Simple sequence repeats (SSRs), the markers with high polymorphism and co-dominance degrees, offer a crucial genetic research resource. The current work identified totally 64,546 perfect and 93,724 imperfect SSR motifs in the genome of the cabbage 'TO1000.' Then, we divided SSRs based on the respective overall length and repeat number into different linkage groups. Later, we characterized cabbage genomes from the perspectives of motif length, motif-type classified and SSR level, and compared them across cruciferous genomes. Furthermore, a large set of 64,546 primer pairs were successfully identified, which generated altogether 1,113 SSR primers, including 916 (82.3%) exhibiting repeated and stable amplification. In addition, there were 32 informative SSR markers screened, which might decide 32 cabbage genotypes for their genetic diversity, with level of polymorphism information of 0.14-0.88. Cultivars were efficiently identified by the new strategy designating manual diagram for identifying cultivars. Lastly, 32 cabbage accessions were clearly separately by five Bol-SSR markers. Besides, we verified whether such SSRs were available and transferable in 10 Brassicaceae relatives. Based on the above findings, those genomic SSR markers identified in the present work may facilitate cabbage research, which lay a certain foundation for further gene tagging and genetic linkage analyses, like marker-assisted selection, genetic mapping, as well as comparative genomic analysis.
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Yao D, Cheng L, Du L, Li M, Daroch M, Tang J. Genome-Wide Investigation and Analysis of Microsatellites and Compound Microsatellites in Leptolyngbya-like Species, Cyanobacteria. Life (Basel) 2021; 11:life11111258. [PMID: 34833134 PMCID: PMC8619395 DOI: 10.3390/life11111258] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/03/2021] [Accepted: 11/16/2021] [Indexed: 01/12/2023] Open
Abstract
Microsatellites (simple sequence repeats, SSRs) are ubiquitously distributed in almost all known genomes. Here, the first investigation was designed to examine the SSRs and compound microsatellites (CSSRs) in genomes of Leptolyngbya-like strains. The results disclosed diversified patterns of distribution, abundance, density, and diversity of SSRs and CSSRs in genomes, indicating that they may be subject to rapid evolutionary change. The numbers of SSRs and CSSRs were extremely unevenly distributed among genomes, ranging from 11,086 to 24,000 and from 580 to 1865, respectively. Dinucleotide SSRs were the most abundant category in 31 genomes, while the other 15 genomes followed the pattern: mono- > di- > trinucleotide SSRs. The patterns related to SSRs and CSSRs showed differences among phylogenetic groups. Both SSRs and CSSRs were overwhelmingly distributed in coding regions. The numbers of SSRs and CSSRs were significantly positively correlated with genome size (p < 0.01) and negatively correlated with GC content (p < 0.05). Moreover, the motif (A/C)n and (AG)n was predominant in mononucleotide and dinucleotide SSRs, and unique motifs of CSSRs were identified in 39 genomes. This study provides the first insight into SSRs and CSSRs in genomes of Leptolyngbya-like strains and will be useful to understanding their distribution, predicting their function, and tracking their evolution. Additionally, the identified SSRs may provide an evolutionary advantage of fast adaptation to environmental changes and may play an important role in the cosmopolitan distribution of Leptolyngbya strains to globally diverse niches.
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Affiliation(s)
- Dan Yao
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China; (D.Y.); (L.D.)
| | - Lei Cheng
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University, Beijing 100048, China;
| | - Lianming Du
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China; (D.Y.); (L.D.)
| | - Meijin Li
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China; (M.L.); (M.D.)
| | - Maurycy Daroch
- School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China; (M.L.); (M.D.)
| | - Jie Tang
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China; (D.Y.); (L.D.)
- Correspondence: ; Tel.: +86-028-84616063
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Development of genic SSR marker resources from RNA-seq data in Camellia japonica and their application in the genus Camellia. Sci Rep 2021; 11:9919. [PMID: 33972624 PMCID: PMC8110538 DOI: 10.1038/s41598-021-89350-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 04/26/2021] [Indexed: 11/12/2022] Open
Abstract
Camellia is a genus of flowering plants in the family Theaceae, and several species in this genus have economic importance. Although a great deal of molecular makers has been developed for molecular assisted breeding in genus Camellia in the past decade, the number of simple sequence repeats (SSRs) publicly available for plants in this genus is insufficient. In this study, a total of 28,854 potential SSRs were identified with a frequency of 4.63 kb. A total of 172 primer pairs were synthesized and preliminarily screened in 10 C. japonica accessions, and of these primer pairs, 111 were found to be polymorphic. Fifty-one polymorphic SSR markers were randomly selected to perform further analysis of the genetic relationships of 89 accessions across the genus Camellia. Cluster analysis revealed major clusters corresponding to those based on taxonomic classification and geographic origin. Furthermore, all the genotypes of C. japonica separated and consistently grouped well in the genetic structure analysis. The results of the present study provide high-quality SSR resources for molecular genetic breeding studies in camellia plants.
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Wu Z, Gong H, Zhang M, Tong X, Ai H, Xiao S, Perez-Enciso M, Yang B, Huang L. A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations. Genet Sel Evol 2021; 53:39. [PMID: 33892623 PMCID: PMC8063339 DOI: 10.1186/s12711-021-00631-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 04/09/2021] [Indexed: 11/10/2022] Open
Abstract
Background Short tandem repeats (STRs) are genetic markers with a greater mutation rate than single nucleotide polymorphisms (SNPs) and are widely used in genetic studies and forensics. However, most studies in pigs have focused only on SNPs or on a limited number of STRs. Results This study screened 394 deep-sequenced genomes from 22 domesticated pig breeds/populations worldwide, wild boars from both Europe and Asia, and numerous outgroup Suidaes, and identified a set of 878,967 polymorphic STRs (pSTRs), which represents the largest repository of pSTRs in pigs to date. We found multiple lines of evidence that pSTRs in coding regions were affected by purifying selection. The enrichment of trinucleotide pSTRs in coding sequences (CDS), 5′UTR and H3K4me3 regions suggests that trinucleotide STRs serve as important components in the exons and promoters of the corresponding genes. We demonstrated that, compared to SNPs, pSTRs provide comparable or even greater accuracy in determining the breed identity of individuals. We identified pSTRs that showed significant population differentiation between domestic pigs and wild boars in Asia and Europe. We also observed that some pSTRs were significantly associated with environmental variables, such as average annual temperature or altitude of the originating sites of Chinese indigenous breeds, among which we identified loss-of-function and/or expanded STRs overlapping with genes such as AHR, LAS1L and PDK1. Finally, our results revealed that several pSTRs show stronger signals in domestic pig—wild boar differentiation or association with the analysed environmental variables than the flanking SNPs within a 100-kb window. Conclusions This study provides a genome-wide high-density map of pSTRs in diverse pig populations based on genome sequencing data, enabling a more comprehensive characterization of their roles in evolutionary and environmental adaptation. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00631-4.
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Affiliation(s)
- Zhongzi Wu
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Huanfa Gong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Mingpeng Zhang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Xinkai Tong
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Huashui Ai
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Shijun Xiao
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Miguel Perez-Enciso
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Barcelona, Spain.,ICREA, Passeig de Lluís Companys 23, Barcelona, Spain
| | - Bin Yang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
| | - Lusheng Huang
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
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Das RR, Pradhan S, Parida A. De-novo transcriptome analysis unveils differentially expressed genes regulating drought and salt stress response in Panicum sumatrense. Sci Rep 2020; 10:21251. [PMID: 33277539 PMCID: PMC7718891 DOI: 10.1038/s41598-020-78118-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 11/03/2020] [Indexed: 12/15/2022] Open
Abstract
Screening the transcriptome of drought tolerant variety of little millet (Panicum sumatrense), a marginally cultivated, nutritionally rich, susbsistent crop, can identify genes responsible for its hardiness and enable identification of new sources of genetic variation which can be used for crop improvement. RNA-Seq generated ~ 230 million reads from control and treated tissues, which were assembled into 86,614 unigenes. In silico differential gene expression analysis created an overview of patterns of gene expression during exposure to drought and salt stress. Separate gene expression profiles for leaf and root tissue revealed the differences in regulatory mechanisms operating in these tissues during exposure to abiotic stress. Several transcription factors were identified and studied for differential expression. 61 differentially expressed genes were found to be common to both tissues under drought and salinity stress and were further validated using qRT-PCR. Transcriptome of P. sumatrense was also used to mine for genic SSR markers relevant to abiotic stress tolerance. This study is first report on a detailed analysis of molecular mechanisms of drought and salinity stress tolerance in a little millet variety. Resources generated in this study can be used as potential candidates for further characterization and to improve abiotic stress tolerance in food crops.
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Affiliation(s)
- Rasmita Rani Das
- Institute of Life Sciences, NALCO Square, Chandrasekharpur, Bhubaneswar, 751023, India
| | - Seema Pradhan
- Institute of Life Sciences, NALCO Square, Chandrasekharpur, Bhubaneswar, 751023, India
| | - Ajay Parida
- Institute of Life Sciences, NALCO Square, Chandrasekharpur, Bhubaneswar, 751023, India.
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Kumar R, Kaundal SP, Sharma V, Sharma A, Singh G, Sharma RK, Chahota RK, Sharma TR. Development of transcriptome-wide SSR markers for genetic diversity and structure analysis in Macrotyloma uniflorum (Lam.) Verdc. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2020; 26:2255-2266. [PMID: 33268927 PMCID: PMC7688872 DOI: 10.1007/s12298-020-00898-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/16/2020] [Accepted: 10/13/2020] [Indexed: 06/12/2023]
Abstract
Horsegram is an important drought resistant pulse crop from Fabaceae and can be easily grown in dry lands with no irrigation facilities. However, it remained neglected since long and has been considered as orphan legume which requires immediate attention for its improvement and for the development of new promising varieties in future. In the present study, 7352 simple sequence repeat (SSR) markers were developed from the transcriptome data and 150 SSR were randomly synthesized for validation and diversity analysis in a panel of 58 horsegram genotypes. The synthesized primers included all types of repeats spanning direpeats to hexarepeats. Of the validated SSR markers, 33 markers were polymorphic and produced 40 loci which were used to analyze the genetic diversity and structure of horsegram. In total, 130 alleles were produced in a range of 2-9 alleles with maximum alleles produced by primer HTSSR 155. Expected heterozygosity (He) ranged from 0.03 to 1.00 and observed heterozygosity (Ho) ranged from 0.13 to 0.81. Polymorphism information content value ranged from 0.065 to 0.78. Dendrogram based on UPGMA and principal component analysis showed four groups of the 58 genotypes of horsegram. Structure analysis showed three genetic stocks for the analyzed germplasm. Thus, the developed SSRs can be useful in future population genetics analysis, molecular breeding studies and mapping works in horsegram germplasm as well as in related legume species.
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Affiliation(s)
| | | | - Vikas Sharma
- Sant Baba Bhag Singh University, Khiala, Jalandhar, Punjab, India
| | | | - Gagandeep Singh
- Central University of Himachal Pradesh, Dharamshala (H.P), India
| | - Ram Kumar Sharma
- CSIR-Institute of Himalayan Bioresource Technology, Palampur (H.P), India
| | | | - Tilak Raj Sharma
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, India
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Detection and application of genome-wide variations in peach for association and genetic relationship analysis. BMC Genet 2019; 20:101. [PMID: 31888445 PMCID: PMC6937647 DOI: 10.1186/s12863-019-0799-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 12/05/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Peach (Prunus persica L.) is a diploid species and model plant of the Rosaceae family. In the past decade, significant progress has been made in peach genetic research via DNA markers, but the number of these markers remains limited. RESULTS In this study, we performed a genome-wide DNA markers detection based on sequencing data of six distantly related peach accessions. A total of 650,693~1,053,547 single nucleotide polymorphisms (SNPs), 114,227~178,968 small insertion/deletions (InDels), 8386~12,298 structure variants (SVs), 2111~2581 copy number variants (CNVs) and 229,357~346,940 simple sequence repeats (SSRs) were detected and annotated. To demonstrate the application of DNA markers, 944 SNPs were filtered for association study of fruit ripening time and 15 highly polymorphic SSRs were selected to analyze the genetic relationship among 221 accessions. CONCLUSIONS The results showed that the use of high-throughput sequencing to develop DNA markers is fast and effective. Comprehensive identification of DNA markers, including SVs and SSRs, would be of benefit to genetic diversity evaluation, genetic mapping, and molecular breeding of peach.
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Xue H, Wang S, Yao JL, Deng CH, Wang L, Su Y, Zhang H, Zhou H, Sun M, Li X, Yang J. Chromosome level high-density integrated genetic maps improve the Pyrus bretschneideri 'DangshanSuli' v1.0 genome. BMC Genomics 2018; 19:833. [PMID: 30463521 PMCID: PMC6249763 DOI: 10.1186/s12864-018-5224-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Accepted: 11/06/2018] [Indexed: 01/23/2023] Open
Abstract
Background Chromosomal level reference genomes provide a crucial foundation for genomics research such as genome-wide association studies (GWAS) and whole genome selection. The chromosomal-level sequences of both the European (Pyrus communis) and Chinese (P. bretschneideri) pear genomes have not been published in public databases so far. Results To anchor the scaffolds of P. bretschneideri ‘DangshanSuli’ (DS) v1.0 genome into pseudo-chromosomes, two genetic maps (MH and YM maps) were constructed using half sibling populations of Chinese pear crosses, ‘Mantianhong’ (MTH) × ‘Hongxiangsu’ (HXS) and ‘Yuluxiang’ (YLX) × MTH, from 345 and 162 seedlings, respectively, which were prepared for SNP discovery using genotyping-by-sequencing (GBS) technology. The MH and YM maps, each with 17 linkage groups (LGs), were constructed from 2606 and 2489 SNP markers and spanned 1847 and 1668 cM, respectively, with average marker intervals of 0.7. The two maps were further merged with a previously published genetic map (BD) based on the cross ‘Bayuehong’ (BYH) × ‘Dangshansuli’ (DS) to build a new integrated MH-YM-BD map. By using 7757 markers located on the integrated MH-YM-BD map, 898 scaffolds (400.57 Mb) of the DS v1.0 assembly were successfully anchored into 17 pseudo-chromosomes, accounting for 78.8% of the assembled genome size. About 88.31% of them (793 scaffolds) were directionally anchored with two or more markers on the pseudo-chromosomes. Furthermore, the errors in each pseudo-chromosome (especially 1, 5, 7 and 11) were manually corrected and pseudo-chromosomes 1, 5 and 7 were extended by adding 19, 12 and 14 scaffolds respectively in the newly constructed DS v1.1 genome. Synteny analyses revealed that the DS v1.1 genome had high collinearity with the apple genome, and the homologous fragments between pseudo-chromosomes were similar to those found in previous studies. Moreover, the red-skin trait of Asian pear was mapped to an identical locus as identified previously. Conclusions The accuracy of DS v1.1 genome was improved by using larger mapping populations and merged genetic map. With more than 400 MB anchored to 17 pseudo-chromosomes, the new DS v1.1 genome provides a critical tool that is essential for studies of pear genetics, genomics and molecular breeding. Electronic supplementary material The online version of this article (10.1186/s12864-018-5224-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Huabai Xue
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China
| | - Suke Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China
| | - Jia-Long Yao
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China.,The New Zealand Institute for Plant and Food Research Limited, Auckland, 1025, New Zealand
| | - Cecilia H Deng
- The New Zealand Institute for Plant and Food Research Limited, Auckland, 1025, New Zealand
| | - Long Wang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China
| | - Yanli Su
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China
| | - Huirong Zhang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China
| | - Huangkai Zhou
- Guangzhou Gene Denovo Biotechnology Co., Ltd, Guangzhou, 510320, China
| | - Minshan Sun
- Guangzhou Gene Denovo Biotechnology Co., Ltd, Guangzhou, 510320, China
| | - Xiugen Li
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China.
| | - Jian Yang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Key Laboratory of Fruit Breeding Technology of Ministry of Agriculture, Zhengzhou, 450009, China.
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