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Shao L, Qiao P, Wang J, Peng Y, Wang Y, Dong W, Li J. Comparative analysis of jujube and sour jujube gave insight into their difference in genetic diversity and suitable habitat. Front Genet 2024; 15:1322285. [PMID: 38380425 PMCID: PMC10878421 DOI: 10.3389/fgene.2024.1322285] [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: 10/16/2023] [Accepted: 01/16/2024] [Indexed: 02/22/2024] Open
Abstract
Jujube (Ziziphus jujuba var. jujuba Mill.) and sour jujube (Z. jujuba var. spinosa (Bunge) Hu ex H.F.Chow.) are economically, nutritionally, and ecologically significant members of the Rhamnaceae family. Despite their importance, insufficient research on their genetics and habitats has impeded effective conservation and utilization. To address this knowledge gap, we conducted plastome sequencing, integrated distribution data from China, and assessed genetic diversity and suitable habitat. The plastomes of both species exhibited high conservation and low genetic diversity. A new-found 23 bp species-specific Indel in the petL-petG enabled us to develop a rapid Indel-based identification marker for species discrimination. Phylogenetic analysis and dating illuminated their genetic relationship, showing speciation occurred 6.9 million years ago, in a period of dramatic global temperature fluctuations. Substantial variations in suitable climatic conditions were observed, with the mean temperature of the coldest quarter as the primary factor influencing distributions (-3.16°C-12.73°C for jujube and -5.79°C to 4.11°C for sour jujube, suitability exceeding 0.6). Consequently, distinct conservation strategies are warranted due to differences in suitable habitats, with jujube having a broader distribution and sour jujube concentrated in Northern China. In conclusion, disparate habitats and climatic factors necessitate tailored conservation approaches. Comparing genetic diversity and developing rapid species-specific primers will further enhance the sustainable utilization of these valuable species.
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Affiliation(s)
- Lingzhi Shao
- School of Biology and Food Science, Hebei Normal University for Nationalities, Chengde, China
| | - Ping Qiao
- Dexing Research and Training Center of Chinese Medical Sciences, China Academy of Chinese Medical Sciences, Dexing, China
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jingyi Wang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yanfang Peng
- School of Biology and Food Science, Hebei Normal University for Nationalities, Chengde, China
| | - Yiheng Wang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenpan Dong
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Jie Li
- School of Biology and Food Science, Hebei Normal University for Nationalities, Chengde, China
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Genetic diversity between local landraces and current breeding lines of pepper in China. Sci Rep 2023; 13:4058. [PMID: 36906685 PMCID: PMC10008637 DOI: 10.1038/s41598-023-29716-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 02/09/2023] [Indexed: 03/13/2023] Open
Abstract
Based on 22 qualitative traits, 13 quantitative traits, and 27 molecular markers (26 SSR and 1 InDel), in the current study we compared the diversity and population structure of 94 local landraces and 85 current breeding lines of pepper in China. The results showed that the Shannon Diversity indices of 9 qualitative traits and 8 quantitative traits in current breeding lines were greater than those of landraces, of which 11 were fruit organ-related traits. Compared with current breeding lines, the mean values of Gene Diversity index and Polymorphism Information content of local landraces were higher by 0.08 and 0.09, respectively. Population structure and phylogenetic tree analysis showed that the 179 germplasm resources could be divided into two taxa, dominated by local landraces and current breeding lines, respectively. The above results indicated that the diversity of quantitative traits of current breeding lines were higher than that of local landraces, especially traits related to fruit organs, but the genetic diversity based on molecular markers was lower than that of local landraces. Therefore, in the future breeding process, we should not only focus on the selection of target traits, but also strengthen the background selection based on molecular markers. Moreover, the genetic information of other domesticated species and wild species will be transferred to the breeding lines through interspecific crosses to expand the genetic background of the breeding material.
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Du J, Li S, Shao J, Song H, Jiang P, Lei C, Bai J, Han L. Genetic diversity analysis and development of molecular markers for the identification of largemouth bass (Micropterus salmoides L.) based on whole-genome re-sequencing. Front Genet 2022; 13:936610. [PMID: 36105092 PMCID: PMC9465168 DOI: 10.3389/fgene.2022.936610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/21/2022] [Indexed: 11/28/2022] Open
Abstract
Largemouth bass (Micropterus salmoides L.) is generally considered to comprise two subspecies, Florida bass (M. floridanus) and Northern Largemouth bass (M. salmoides), which have biological characteristic differences because of their geographical distribution. In this study, whole-genome re-sequencing was performed among 10 Florida and 10 Northern largemouth bass, respectively. In total, 999,793 SNPs and 227,797 InDels were finally identified, and 507,401 SNPs (50.75%) and 116,213 InDels (51.01%) were successfully mapped to annotated 18,629 genes and 14,060 genes, respectively. KEGG classification indicated that most of these genes were focused on the pathways including signal transduction, transport and catabolism, and endocrine system. Genetic diversity analysis indicated that Florida largemouth bass had higher genetic diversity than Northern largemouth bass, indicating that the germplasm quality of Northern largemouth bass had markedly reduced in China. To examine the accuracies of the identified markers, 23 SNPs and eight InDels (the insertions or deletions of more than 45 bp) were randomly selected and detected among Florida largemouth bass, Northern largemouth bass, and their F1 hybrids. The detection efficiencies of all the markers were higher than 95%; nineteen SNPs and three InDels could accurately distinguish the two subspecies and their F1 hybrids with 100% efficiencies. Moreover, the three InDel markers could clearly distinguish the two subspecies and their F1 hybrids with a PCR-based agarose gel electrophoresis. In conclusion, our study established a simple PCR-based method for the germplasm identification of largemouth bass, which will be useful in the germplasm protection, management, and hybridization breeding of largemouth bass.
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Affiliation(s)
- Jinxing Du
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Shengjie Li
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
- *Correspondence: Shengjie Li,
| | - Jiaqi Shao
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Hongmei Song
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Peng Jiang
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Caixia Lei
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Junjie Bai
- Key Laboratory of Tropical and Subtropical Fishery Resources Application and Cultivation, Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Linqiang Han
- Guangdong Liangshi Aquatic Seed Industry Co Ltd, Foshan, China
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Identification of Fruit Traits Related QTLs and a Candidate Gene, CaBRX, Controlling Locule Number in Pepper (Capsicum annuum L.). HORTICULTURAE 2022. [DOI: 10.3390/horticulturae8020146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Fruit traits are important in pepper (Capsicum annuum L.) and affect its quality and yield. These traits are controlled by quantitative trait loci (QTLs). In this study, we identified many major QTLs that control fruit length (Ftl), fruit diameter (Ftd), fruit shape (Fts), fruit weight (Ftw) and locule number (Lcn) in the F2 and F2:3 populations developed from the QTL mapping of GS6 (P1) and Qiemen (P2). A total of 111 simple sequence repeats and insertion/deletion markers were utilized to construct a linkage map with 12 linkage groups over a length of 1320.72 cM. An inclusive composite interval mapping analysis indicated that many QTLs were detected and included ftl2.1, ftd2.1, fts1.1, ftw2.1 and lcn1.1. As a novel QTL, lcn1.1 was located between HM1112 and EPMS709, and the genetic distance was 3.18 cM covering 60 predicted genes. Within the region, we identified Capana01g004285 as a candidate gene by functional annotation and expression analysis and found that it encodes the BREVIS RADIX (BRX) protein. Knockdown of CaBRX through the virus-induced gene silencing approach in GS6 reduced the number of locules and influenced the expressions of genes related to flower and locule development, suggesting that CaBRX plays an important function in the development of locules.
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Huang Y, Hong M, Qu Z, Zheng W, Hu H, Li L, Lu T, Xie Y, Ying S, Zhu Y, Liu L, Huang W, Fu S, Chen J, Wu K, Liu M, Luo Q, Wu Y, He F, Zhang J, Zhang J, Chen Y, Zhao M, Cai Z, Huang H, Sun J. Non-Ablative Chemotherapy Followed by HLA-Mismatched Allogeneic CD3 + T-Cells Infusion Causes An Augment of T-Cells With Mild CRS: A Multi-Centers Single-Arm Prospective Study on Elderly Acute Myeloid Leukemia and int-2/High Risk Myelodysplastic Syndrome Patients. Front Oncol 2021; 11:741341. [PMID: 34722293 PMCID: PMC8548743 DOI: 10.3389/fonc.2021.741341] [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: 07/14/2021] [Accepted: 09/21/2021] [Indexed: 11/13/2022] Open
Abstract
Objective To evaluate the efficacy and safety of standard or low-dose chemotherapy followed by HLA-mismatched allogeneic T-cell infusion (allo-TLI) for the treatment of elderly patients with acute myeloid leukemia (AML) and patients with intermediate-2 to high-risk myelodysplastic syndrome (MDS). Methods We carried out a prospective, multicenter, single-arm clinical trial. Totally of 25 patients were enrolled, including 17 AML patients and 8 MDS patients. Each patient received four courses of non-ablative chemotherapy, with HLA-mismatched donor CD3+ allo-TLI 24 h after each course. AML patients received chemotherapy with decitabine, idarubicin, and cytarabine, and MDS patients received decitabine, cytarabine, aclarubicin, and granulocyte colony-stimulating factor. Results A total of 79 procedures were performed. The overall response rates of the AML and MDS patients were 94% and 75% and the 1-year overall survival rates were 88% (61-97%) and 60% (13-88%), respectively. The overall 60-day treatment-related mortality was 8%. Compared with a historical control cohort that received idarubicin plus cytarabine (3 + 7), the study group showed significantly better overall response (94% vs. 50%, P=0.002) and overall survival rates (the 1-year OS rate was 88% vs. 27%, P=0.014). Post-TLI cytokine-release syndrome (CRS) occurred after 79% of allo-TLI operations, and 96% of CRS reactions were grade 1. Conclusion Elderly AML patients and intermediate-2 to high-risk MDS patients are usually insensitive to or cannot tolerate regular chemotherapies, and may not have the opportunity to undergo allogeneic stem cell transplantation. Our study showed that non-ablative chemotherapy followed by HLA-mismatched allo-TLI is safe and effective, and may thus be used as a first-line treatment for these patients. Clinical Trial Registration https://www.chictr.org.cn/showproj.aspx?proj=20112.
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Affiliation(s)
- Yan Huang
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minghua Hong
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhigang Qu
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Weiyan Zheng
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huixian Hu
- Department of Hematology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Linjie Li
- Department of Hematology, The Central Hospital of Lishui City, Lishui, China
| | - Ting Lu
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Xie
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuangwei Ying
- Department of Hematology, Taizhou Hospital of Zhejiang Province, Taizhou, China
| | - Yuanyuan Zhu
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lizhen Liu
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weijia Huang
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shan Fu
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jin Chen
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Kangli Wu
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Mingsuo Liu
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Qiulian Luo
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Yajun Wu
- Department of Hematology, Yiwu Central Hospital, Yiwu, China
| | - Fang He
- Department of Hematology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Jingcheng Zhang
- Department of Hematology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China
| | - Junyu Zhang
- Department of Hematology, The Central Hospital of Lishui City, Lishui, China
| | - Yu Chen
- Department of Hematology, The Central Hospital of Lishui City, Lishui, China
| | - Minlei Zhao
- Department of Hematology, The Central Hospital of Lishui City, Lishui, China
| | - Zhen Cai
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - He Huang
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Sun
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy; Zhejiang Laboratory for Systems & Precison Medicine, Zhejiang University Medical Center, Institute of Hematology, Bone Marrow Transplantation Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Adedze YMN, Lu X, Xia Y, Sun Q, Nchongboh CG, Alam MA, Liu M, Yang X, Zhang W, Deng Z, Li W, Si L. Agarose-resolvable InDel markers based on whole genome re-sequencing in cucumber. Sci Rep 2021; 11:3872. [PMID: 33594240 PMCID: PMC7886880 DOI: 10.1038/s41598-021-83313-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 02/01/2021] [Indexed: 11/13/2022] Open
Abstract
Insertion and Deletion (InDel) are common features in genomes and are associated with genetic variation. The whole-genome re-sequencing data from two parents (X1 and X2) of the elite cucumber (Cucumis sativus) hybrid variety Lvmei No.1 was used for genome-wide InDel polymorphisms analysis. Obtained sequence reads were mapped to the genome reference sequence of Chinese fresh market type inbred line ‘9930’ and gaps conforming to InDel were pinpointed. Further, the level of cross-parents polymorphism among five pairs of cucumber breeding parents and their corresponding hybrid varieties were used for evaluating hybrid seeds purity test efficiency of InDel markers. A panel of 48 cucumber breeding lines was utilized for PCR amplification versatility and phylogenetic analysis of these markers. In total, 10,470 candidate InDel markers were identified for X1 and X2. Among these, 385 markers with more than 30 nucleotide difference were arbitrary chosen. These markers were selected for experimental resolvability through electrophoresis on an Agarose gel. Two hundred and eleven (211) accounting for 54.81% of markers could be validated as single and clear polymorphic pattern while 174 (45.19%) showed unclear or monomorphic genetic bands between X1 and X2. Cross-parents polymorphism evaluation recorded 68 (32.23%) of these markers, which were designated as cross-parents transferable (CPT) InDel markers. Interestingly, the marker InDel114 presented experimental transferability between cucumber and melon. A panel of 48 cucumber breeding lines including parents of Lvmei No. 1 subjected to PCR amplification versatility using CPT InDel markers successfully clustered them into fruit and common cucumber varieties based on phylogenetic analysis. It is worth noting that 16 of these markers were predominately associated to enzymatic activities in cucumber. These agarose-based InDel markers could constitute a valuable resource for hybrid seeds purity testing, germplasm classification and marker-assisted breeding in cucumber.
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Affiliation(s)
- Yawo Mawunyo Nevame Adedze
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China.
| | - Xia Lu
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Yingchun Xia
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Qiuyue Sun
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Chofong G Nchongboh
- Julius Kühn Institute (JKI)-Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Messeweg 11-12, 38104, Brunswick, Germany
| | - Md Amirul Alam
- Faculty of Sustainable Agriculture, Horticulture and Landscaping Program, University Malaysia Sabah, Sandakan Campus, 90509, Sandakan, Sabah, Malaysia
| | - Menghua Liu
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Xue Yang
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Wenting Zhang
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Zhijun Deng
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Wenhu Li
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
| | - Longting Si
- Molecular Biology Laboratory of Jiangsu Green Port Modern Agriculture Development Company, Suqian, 223800, Jiangsu, China
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Wang X, Shen F, Gao Y, Wang K, Chen R, Luo J, Yang L, Zhang X, Qiu C, Li W, Wu T, Xu X, Wang Y, Cong P, Han Z, Zhang X. Application of genome-wide insertion/deletion markers on genetic structure analysis and identity signature of Malus accessions. BMC PLANT BIOLOGY 2020; 20:540. [PMID: 33256591 PMCID: PMC7708918 DOI: 10.1186/s12870-020-02744-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 11/17/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Apple (Malus ssp.), one of the most important temperate fruit crops, has a long cultivation history and is economically important. To identify the genetic relationships among the apple germplasm accessions, whole-genome structural variants identified between M. domestica cultivars 'Jonathan' and 'Golden Delicious' were used. RESULTS A total of 25,924 insertions and deletions (InDels) were obtained, from which 102 InDel markers were developed. Using the InDel markers, we found that 942 (75.3%) of the 1251 Malus accessions from 35 species exhibited a unique identity signature due to their distinct genotype combinations. The 102 InDel markers could distinguish 16.7-71.4% of the 331 bud sports derived from 'Fuji', 'Red Delicious', 'Gala', 'Golden Delicious', and other cultivars. Five distinct genetic patterns were found in 1002 diploid accessions based on 78 bi-allele InDel markers. Genetic structure analysis indicated that M. domestica showed higher genetic diversity than the other species. Malus underwent a relatively high level of wild-to-crop or crop-to-wild gene flow. M. sieversii was closely related to both M. domestica and cultivated Chinese cultivars. CONCLUSIONS The identity signatures of Malus accessions can be used to determine distinctness, uniformity, and stability. The results of this study may also provide better insight into the genetic relationships among Malus species.
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Affiliation(s)
- Xuan Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Fei Shen
- College of Horticulture, China Agricultural University, Beijing, China
- Beijing Agro-biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Yuan Gao
- Research Institute of Pomology, Chinese Academy of Agricultural Science, Xingcheng, Liaoning, China
| | - Kun Wang
- Research Institute of Pomology, Chinese Academy of Agricultural Science, Xingcheng, Liaoning, China
| | - Ruiting Chen
- College of Horticulture, China Agricultural University, Beijing, China
- Present Address: Shaanxi Haisheng Fruit Industry Development Co., Ltd., Shaanxi, Xian, China
| | - Jun Luo
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Lili Yang
- College of Information and Electrical Engineering, China Agricultural University, Beijing, China
| | - Xi Zhang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Changpeng Qiu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Wei Li
- College of Horticulture, China Agricultural University, Beijing, China
| | - Ting Wu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xuefeng Xu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Yi Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Peihua Cong
- Research Institute of Pomology, Chinese Academy of Agricultural Science, Xingcheng, Liaoning, China
| | - Zhenhai Han
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, Beijing, China.
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8
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Liang S, Lin F, Qian Y, Zhang T, Wu Y, Qi Y, Ren S, Ruan L, Zhao H. A cost-effective barcode system for maize genetic discrimination based on bi-allelic InDel markers. PLANT METHODS 2020; 16:101. [PMID: 32742299 PMCID: PMC7391534 DOI: 10.1186/s13007-020-00644-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 07/22/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Maize is one of the most important cereal crop all over the world with a complex genome of about 2.3 gigabase, and exhibits tremendous phenotypic and molecular diversity among different germplasms. Along with the phenotype identification, molecular markers have been accepted extensively as an alternative tool to discriminate different genotypes. RESULTS By using previous re-sequencing data of 205 lines, bi-allelic insertions and deletions (InDels) all over maize genome were screened, and a barcode system was constructed consisting of 37 bi-allelic insertion-deletion markers with high polymorphism information content (PIC) values, large discriminative size among varieties. The barcode system was measured and determined, different maize hybrids and inbreds were clearly discriminated efficiently with these markers, and hybrids responding parents were accurately determined. Compared with microarray data of more than 200 maize lines, the barcode system can discriminate maize varieties with 1.57% of different loci as a threshold. The barcode system can be used in standardized easy and quick operation with very low cost and minimum equipment requirements. CONCLUSION A barcode system was constructed for genetic discrimination of maize lines, including 37 InDel markers with high PIC values and user-friendly. The barcode system was measured and determined for efficient identification of maize lines.
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Affiliation(s)
- Shuaiqiang Liang
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Feng Lin
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yiliang Qian
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Tifu Zhang
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yibo Wu
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yaocheng Qi
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Sihai Ren
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Long Ruan
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Han Zhao
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
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9
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Du H, Yang J, Chen B, Zhang X, Zhang J, Yang K, Geng S, Wen C. Target sequencing reveals genetic diversity, population structure, core-SNP markers, and fruit shape-associated loci in pepper varieties. BMC PLANT BIOLOGY 2019; 19:578. [PMID: 31870303 PMCID: PMC6929450 DOI: 10.1186/s12870-019-2122-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 11/07/2019] [Indexed: 05/24/2023]
Abstract
BACKGROUND The widely cultivated pepper (Capsicum spp.) is one of the most diverse vegetables; however, little research has focused on characterizing the genetic diversity and relatedness of commercial varieties grown in China. In this study, a panel of 92 perfect single-nucleotide polymorphisms (SNPs) was identified using re-sequencing data from 35 different C. annuum lines. Based on this panel, a Target SNP-seq genotyping method was designed, which combined multiplex amplification of perfect SNPs with Illumina sequencing, to detect polymorphisms across 271 commercial pepper varieties. RESULTS The perfect SNPs panel had a high discriminating capacity due to the average value of polymorphism information content, observed heterozygosity, expected heterozygosity, and minor allele frequency, which were 0.31, 0.28, 0.4, and 0.31, respectively. Notably, the studied pepper varieties were morphologically categorized based on fruit shape as blocky-, long horn-, short horn-, and linear-fruited. The long horn-fruited population exhibited the most genetic diversity followed by the short horn-, linear-, and blocky-fruited populations. A set of 35 core SNPs were then used as kompetitive allele-specific PCR (KASPar) markers, another robust genotyping technique for variety identification. Analysis of genetic relatedness using principal component analysis and phylogenetic tree construction indicated that the four fruit shape populations clustered separately with limited overlaps. Based on STRUCTURE clustering, it was possible to divide the varieties into five subpopulations, which correlated with fruit shape. Further, the subpopulations were statistically different according to a randomization test and Fst statistics. Nine loci, located on chromosomes 1, 2, 3, 4, 6, and 12, were identified to be significantly associated with the fruit shape index (p < 0.0001). CONCLUSIONS Target SNP-seq developed in this study appears as an efficient power tool to detect the genetic diversity, population relatedness and molecular breeding in pepper. Moreover, this study demonstrates that the genetic structure of Chinese pepper varieties is significantly influenced by breeding programs focused on fruit shape.
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Affiliation(s)
- Heshan Du
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China
| | - Jingjing Yang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China
| | - Bin Chen
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China
| | - Xiaofen Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China
| | - Jian Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China
| | - Kun Yang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Sansheng Geng
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China.
| | - Changlong Wen
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, 100097, China.
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