Research Progress on SSR Fingerprint Identification Card in Pears

doi:10.11924/j.issn.1000-6850.casb2024-0299

Abstract

Abstract:

In order to carry out pear variety resource identification work more scientifically, quickly and accurately, the article reviewed the SSR fingerprinting ID technology, the research progress and application of this technology in pear variety identification, and analyzed in detail the current problems of this technology in terms of simplicity, expandability, and collection and analysis of tagged data, etc. To address the above problems, the article introduced the direction of improvement such as using more efficient coding methods, data expansion, and fluorescent labelling capillary electrophoresis detection technology, etc. The article also looked forward to the future of SSR fingerprint ID technology combined with the new generation of sequencing technology, to achieve faster, more accurate and more efficient identification of pear varieties.

Key words: pear, SSR marking, fingerprint spectrum, molecular ID card, research progress

CAO Jun, WANG Maosen, WANG Guozhu, ZHAO Jie, WANG Jianming, ZHENG Sisi, TAO Tao, ZHAO Yining, ZHANG Caixi, JIU Songtao. Research Progress on SSR Fingerprint Identification Card in Pears[J]. Chinese Agricultural Science Bulletin, 2025, 41(4): 25-30.

References 57

[1]	俞德浚. 中国果树分类学[M]. 北京: 农业出版社, 1982:122-146.
[2]	RUBTSOV G A. Geographical distribution of the genus Pyrus and trends and factors in its evolution[J]. The American naturalist, 1944, 78:358-366.
[3]	DONINI P, COOKE R J, REEVES J C. Molecular markers in variety and seed testing[J]. Developments in plant genetics and breeding, 2000, 5:27-34.
[4]	兰海燕, 李立会. 蛋白质凝胶电泳技术在作物品种鉴定中的应用[J]. 中国农业科学, 2002, 35(8):916-920.
[5]	赖相红, 李静, 李冰, 等. 蛋白质电泳技术在品种鉴定和纯度检验上的应用[J]. 新疆农垦科技, 2003(4):31-33.
[6]	GROVER A, SHARMA P C. Development and use of molecular markers: Past and present[J]. Critical reviews in biotechnology, 2016, 36(2):290-302. doi: 10.3109/07388551.2014.959891 pmid: 25430893
[7]	NISHIO S, KUNIHISA M, TANIGUCHI F, et al. Development of SSR databases available for both NGS and capillary electrophoresis in apple, pear and tea[J]. Plants, 2021, 10(12):2796.
[8]	范广轩, 王洪亮, 邢秀梅. SNP标记的研究进展及其应用[J]. 特产研究, 2025.
[9]	孙萍. 大尾寒羊保种群分子系谱的构建及遗传结构分析[D]. 泰安: 山东农业大学, 2020.
[10]	ZHANG J, ZHANG X, DEDIU L, et al. Review of the current application of fingerprinting allowing detection of food adulteration and fraud in China[J]. Food control, 2011, 22(8):1126-1135.
[11]	欧良喜, 向旭, 狄凤香, 等. SSR分子标记在荔枝上的研究进展[J]. 生物技术通报, 2009(S1):83-87.
[12]	陈亮, 郑宇宏, 范旭红, 等. 大豆SSR指纹图谱身份证的研究进展与展望[J]. 大豆科技, 2015(2):38-43.
[13]	杨天文, 王静, 李炯, 等. 大顶苦瓜种质资源的遗传多样性分析与指纹图谱构建[J]. 浙江农业学报, 2004, 36(1):103-114.
[14]	李慧峰, 王涛, 冉昆. 利用SSR荧光标记构建41份山东省苹果资源分子身份证[J]. 沈阳农业大学学报, 2020, 51(1):70-77.
[15]	娄永峰, 朱柯帆, 宋晓琛, 等. 基于SSR标记构建江西杉木核心种质及其分子身份证[J]. 林业科学研究, 2023, 36(6):78-86.
[16]	刘荣, 张正学, 刘清国, 等. 基于SSR分子标记构建19个杧果品种(系)的DNA指纹图谱[J]. 热带作物科学, 2023, 44(9):1745-1753.
[17]	赵海娟, 章秋平, 马小雪, 等. 杏高通量荧光SSR检测体系及分子身份证的构建[J]. 分子植物育种, 2023, 21(24):8134-8143.
[18]	许祎珂, 李爽, 寇佩雯, 等. 基于表型性状和SSR标记的半夏遗传多样性分析及分子身份证构建[J]. 中国实验方剂学杂志, 2024, 30(5):134-142.
[19]	陆育生, 彭程, 常晓晓, 等. 基于SSR标记的广东黄皮种质资源遗传多样性分析及分子身份证构建[J]. 生物技术通报, 2023, 39(12):187-199. doi: 10.13560/j.cnki.biotech.bull.1985.2023-0349
[20]	石保旭, 郑梦霞, 向云攀, 等. 旺苍县茶树资源遗传多样性分析及分子身份证构建[J]. 中国茶叶, 2023, 45(7):46-53.
[21]	冯智尊, 杨雅斐, 王海岗, 等. 山西糜黍遗传差异评估及分子身份证构建[J]. 山西农业科学, 2023, 51(10):1178-1188.
[22]	安苗, 王彤彤, 付逸婷, 等. 52个马铃薯遗传多样性分析及SSR分子身份证构建[J]. 生物技术通报, 2023, 39(12):136-147. doi: 10.13560/j.cnki.biotech.bull.1985.2023-0512
[23]	李雪松, 孙达锋, 刘绍雄, 等. 基于大球盖菇基因组的SSR分子标记开发及指纹数据库应用[J]. 浙江农业学报, 2024, 36(1):84-93. doi: 10.3969/j.issn.1004-1524.20221149
[24]	卢立媛, 阮树安, 杨伟聪, 等. 50份无花果种质资源遗传多样性分析及DNA指纹图谱构建[J]. 中国果树, 2024(1):45-51.
[25]	王秀军, 赵彦贝, 王静, 等. 基于SSR分子标记的175份蜡梅种质遗传多样性分析和指纹图谱构建[J]. 生物工程学报, 2024, 40(1):252-268.
[26]	连灵燕, 赵慧, 王国英, 等. 20个玉米自交系SSR指纹图谱的构建[J]. 农业技术与装备, 2022(9):87-89.
[27]	康亮珠, 李飞, 陈薇兰, 等. 水稻品种DNA指纹图谱构建及品种纯度的快速鉴定[J]. 杂交水稻, 2023, 39(2):1-9.
[28]	李琼, 李金花, 常世豪, 等. 61份高油大豆品种(系)指纹图谱构建及遗传多样性分析[J]. 河南农业科学, 2021, 50(9):53-62.
[29]	甘玲, 汤浩茹, 董晓莉. 梨种类和品种鉴定研究进展[J]. 中国农学通报, 2006(5):302-307.
[30]	冉昆, 隋静, 王宏伟, 等. 利用SSR荧光标记构建山东地方梨种质资源分子身份证[J]. 果树学报, 2018, 35(S1):71-78.
[31]	张小双, 曹玉芬, 齐丹, 等. 秋子梨基于SSR荧光标记的分子身份证构建及亲缘关系分析[J]. 中国南方果树, 2018, 47(4):92-98.
[32]	赵瑞娟. 梨品种SSR特征指纹数据表构建与应用[D]. 北京: 中国农业科学院, 2017.
[33]	张靖国, 田瑞, 陈启亮, 等. 基于SSR标记的梨栽培品种分子身份证的构建[J]. 华中农业大学学报, 2014, 33(1):12-17.
[34]	WU J, LI L T, LI M, et al. High-density genetic linkage map construction and identification of fruit-related QTLs in pear using SNP and SSR markers[J]. Journal of experimental botany, 2014, 65(20):5771-5781. doi: 10.1093/jxb/eru311 pmid: 25129128
[35]	薛华柏, 赵瑞娟, 王磊, 等. 梨品种SSR特征指纹图谱与分子身份证构建[J]. 中国南方果树, 2018, 47(S1):42-49+97.
[36]	TIBIHIKA P D, CURTO M, DORNSTAUDER-SCHRAMMEL E, et al. Application of microsatellite genotyping by sequencing (SSR-GBS) to measure genetic diversity of the East African Oreochromis niloticus[J]. Conservation genetics, 2019, 20(2):357-372.
[37]	艾呈祥, 张力思, 魏海蓉, 等. 甜樱桃品种SSR指纹图谱数据库的建立[J]. 中国农学通报, 2007, 23(5):55-58.
[38]	王庆彪, 张扬勇, 庄木, 等. 中国50个甘蓝代表品种EST-SSR指纹图谱的构建[J]. 中国农业科学, 2014, 47(1):111-121. doi: 10.3864/j.issn.0578-1752.2014.01.012
[39]	王立新, 赵昌平, 邱军, 等. 记录小麦SSR带型的快捷方法[J]. 麦类作物学, 2006(4):164-168.
[40]	马琳, 刘海珍, 陆徐忠, 等. 130份甘蓝型油菜种质分子身份证的构建[J]. 中国油料作物学报, 2013, 35(3):231-239. doi: 10.7505/j.issn.1007-9084.2013.03.001
[41]	LI Q, WAN J M. SSRHunter: Development of a local searching software for SSR sites[J]. Hereditas, 2005, 27(5):808-810.
[42]	刘新龙, 马丽, 陈学宽, 等. 云南甘蔗自育品种DNA指纹身份证构建[J]. 作物学报, 2010, 36(2):202-210. doi: 10.3724/SP.J.1006.2010.00202
[43]	孙祺, 张倩, 柳依, 等. 简单重复序列标记荧光染料检测和银染显影技术的比较[J]. 中南农业科技, 2023, 44(4):58-61.
[44]	匡猛, 杨伟华, 许红霞, 等. 中国棉花主栽品种DNA指纹数据库初步构建研究[J]. 棉花学报, 2012, 24(3):229-237. doi: 10.11963/cs120306
[45]	牛雨晴, 朱育菁, 郑梅霞, 等. SSR荧光标记毛细管电泳分析16个博落回种质资源的遗传多样性[J]. 福建农业科技, 2023, 54(7):10-15.
[46]	李巧英. SSR标记荧光毛细管电泳在种子检测中常见问题分析[J]. 中国种业, 2022(7):57-59.
[47]	MCCARTHY A. Third generation DNA sequencing: pacific biosciences’ single molecule real time technology[J]. Chemistry & biology, 2010, 17(7):675-676.
[48]	JIAO W B, SCHNEEBERGER K. The impact of third generation genomic technologies on plant genome assembly[J]. Current opinion in plant biology, 2017, 36:64-70.
[49]	SLATKO B E, GARDNER A F, AUSUBEL F M. Overview of next-generation sequencing technologies[J]. Current protocols in molecular biology, 2018, 122(1):59. doi: 10.1002/cpmb.59 pmid: 29851291
[50]	CUI J, SHEN N, LU Z, et al. Analysis and comprehensive comparison of PacBio and nanopore-based RNA sequencing of the Arabidopsis transcriptome[J]. Plant methods, 2020, 16:1-13.
[51]	WANG Y, ZHAO Y, BOLLAS A, et al. Nanopore sequencing technology, bioinformatics and applications[J]. Nature biotechnology, 2021, 39(11):1348-1365. doi: 10.1038/s41587-021-01108-x pmid: 34750572
[52]	YASODHA R, VASUDEVA R, BALAKRISHNAN S, et al. Draft genome of a high value tropical timber tree, teak (Tectona grandis L.): Insights into SSR diversity, phylogeny and conservation[J]. DNA research, 2018, 25(4):409-419.
[53]	OUYANG H, WANG X, ZHENG X, et al. Full-length SMRT transcriptome sequencing and SSR analysis of Bactrocera dorsalis (Hendel)[J]. Insects, 2021, 12(10):938.
[54]	LIAQUAT F, MUNIS M F H, ARIF S, et al. PacBio single-molecule long-read sequencing reveals genes tolerating manganese stress in Schima superba saplings[J]. Frontiers in genetics, 2021, 12:635043.
[55]	NYBOM H, WEISING K, ROTTER B. DNA fingerprinting in botany: Past, present, future[J]. Investigative genetics, 2014, 5:1-35. doi: 10.1186/2041-2223-5-1 pmid: 24386986
[56]	杨阳, 刘振, 赵洋, 等. 湖南省主要茶树品种分子指纹图谱的构建[J]. 茶叶科学, 2010, 30(5):367-373.
[57]	刘倩. 应用SRAP分子标记构建红麻种质资源分子身份证[D]. 北京: 中国农业科学院, 2013.