基于文献计量学BSA在作物育种领域的应用现状与展望

doi:10.16288/j.yczz.23-292

遗传 ›› 2024, Vol. 46 ›› Issue (5): 360-372.doi: 10.16288/j.yczz.23-292

基于文献计量学BSA在作物育种领域的应用现状与展望

张刚¹^,²(), 朱林¹^,²(), 聂豪杰¹^,², 包玉国³, 程云龙³

1.宁夏大学生态环境学院，银川 750000
2.西北土地退化与生态恢复国家重点实验室培育基地，银川 750000
3.宁夏大学林草学院，银川 750000

收稿日期:2023-11-23 修回日期:2024-02-14 出版日期:2024-04-03 发布日期:2024-04-03
通讯作者: 朱林 E-mail:1792583447@qq.com;zhulinscience@126.com
作者简介:张刚，硕士研究生，专业方向：稗草分子遗传育种。E-mail: 1792583447@qq.com
基金资助:
宁夏自然科学基金项目(2022AAC03086)

Application and prospect of BSA method based on bibliometrics in crop breeding

Gang Zhang¹^,²(), Lin Zhu¹^,²(), Haojie Nie¹^,², Yuguo Bao³, Yunlong Cheng³

1. College of Ecology and Environment, Ningxia University, Yinchuan 750000, China
2. Northwest State Key Laboratory of Land Degradation and Ecological Restoration Incubation Base, Yinchuan 750000, China
3. College of Agriculture, Ningxia University, Yinchuan 750000, China

Received:2023-11-23 Revised:2024-02-14 Published:2024-04-03 Online:2024-04-03
Contact: Lin Zhu E-mail:1792583447@qq.com;zhulinscience@126.com
Supported by:
Ningxia Natural Science Foundation Project(2022AAC03086)

摘要/Abstract

摘要：

为了解国内外集群分离分析法(bulked segregant analysis，BSA)在作物育种领域的研究现状与前沿动态，客观反映各国家、机构及研究人员在该领域的影响力，本文基于文献计量学分析方法使用文献计量分析软件CiteSpace对WOS (Web of Science)数据库2000~2023年2111项和CNKI (China National Knowledge Infrastructure)数据库2003~2023年446项研究成果进行关键词共现分析、突显词分析、关键词聚类分析、聚类时间线分析及作者共被引分析。结果表明：BSA在作物育种领域应用的研究成果在国内外的发文趋势相同，国内外期刊发文量均逐年上升；在发文量国家排序中，中国排名第一、美国第二、印度第三。在CNKI数据库中华中农业大学的发文量最多，而在WOS数据库中中国农业科学院的发文量最多。国外BSA在作物育种领域应用的文章主要集中在植物科学、农学、园艺学和遗传学等学科，而国内主要集中在作物学、植物保护学、园艺学、生物学等学科；Michlmore RW、Kosambi DD和Li H这3位作者在该领域的影响力最高，而Michlmore RW、Lander ES、Li H这3位作者与其他作者有更密切的联系。国内研究的热点作物和性状分别是水稻(Oryza sativa)、大豆(Glycine max)、玉米(Zea mays L.)和抗病性、株高；国外研究的热点作物和性状分别是水稻、拟南芥(Arabidopsis thaliana)、小麦(Triticum aestivum L.)和抗病性。目前，BSA在国内集中应用于作物目标性状候选基因及作物突变体突变基因的定位和功能验证，而国外则集中应用于作物目标性状基因的精细定位和功能验证及遗传机制的解析。此外，BSA在作物育种领域应用的研究前沿分析表明，未来在该领域热点研究的对象为水稻、花生(Arachis hypogaea L.)、陆地棉(Gossypium hirsutum L.)、作物突变体和作物代谢产物。

关键词: BSA, 作物育种, 文献计量分析法, CiteSpace

Abstract:

In order to understand the progress and frontier in the application of BSA(bulked segregant analysis) method in crop breeding and to reflect objectively the contribution of different countries, institutions and researchers in this field at home and abroad, this study analyzed 2111 items in the WOS (Web of Science) database from 2000 to 2023 and 446 items in the CNKI (China National through Knowledge Infrastructure) database from 2003 to 2023, regarding the researches of the application of BSA in crop breeding, basing on bibliometric analysis methods using CiteSpace software including keyword co-occurrence analysis, highlight word analysis, keyword clustering analysis, clustering timeline analysis and author co-citation. The results showed that there was an consistent increasing trend in the publication number of the application of BSA in crop breeding both in the domestic and foreign journals year by year. Ranking of the top countries according to the number of publications was China, the United States and India. The Huazhong Agricultural University displayed the highest number of publications in the CNKI database, while the Chinese Academy of Agricultural Sciences was found to have the highest number of publications in the WOS database. The published articles related to the application of BSA in crop breeding abroad mainly focused on the disciplines such as plant science, agronomy, horticulture and genetics, while those in China mainly concentrated on such disciplines as plant science, plant protection, horticulture and biology. The top three authors in terms of influence in the field of appling BSA in crop breeding were Michelmore RW, Kosambi DD and Li H, while Michelmore RW, Lander ES and Li H had closer cooperations with other authors. The top three crops relating to the studies of BSA were rice(Oryza sativa), soybean(Glycine max), corn(Zea mays L.) with the hot spot traits of disease resistance and plant height domestically. The top three crops involving the studies of BSA were rice, Arabidopsis thaliana and wheat(Triticum aestivum L.) with hot spot traits of disease resistance abroad. Up to now, BSA was mainly used to localize and functionally verify the candidate genes linking target traits and the mutated genes in crops in the domestical documents, while the foreign published studies based on BSA were mainly focused on the fine mapping and functional verification of target trait genes aiming at the revelation of genetic mechanisms in crops. Research frontier analysis indicated that rice, peanuts(Arachis hypogaea L.), upland cotton(Gossypium hirsutum L.) would be the main objects of studies concerning application of BSA in crop breeding with the hot topics of crop mutants and crop metabolites in the future.

Key words: BSA, crop breeding, bibliometric analysis, CiteSpace

张刚, 朱林, 聂豪杰, 包玉国, 程云龙. 基于文献计量学BSA在作物育种领域的应用现状与展望[J]. 遗传, 2024, 46(5): 360-372.

Gang Zhang, Lin Zhu, Haojie Nie, Yuguo Bao, Yunlong Cheng. Application and prospect of BSA method based on bibliometrics in crop breeding[J]. Hereditas(Beijing), 2024, 46(5): 360-372.

图/表 11

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图3

表1

表2

图4

图5

图6

表3

CNKI数据库2003~2023年被引用次数最多的前25个关键词"

关键词	首次出现年份	突现强度	突现起始年份	突现结束年份	突现分布年份区间(2003~2023年)
桔红心	2003	1.37	2003	2006	▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂
文库构建	2008	1.28	2008	2012	▂▂▂▂▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂
图位克隆	2008	0.91	2008	2012	▂▂▂▂▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂
拟南芥	2011	1.3	2011	2012	▂▂▂▂▂▂▂▂▃▃▂▂▂▂▂▂▂▂▂▂▂
穗长	2011	1.19	2011	2016	▂▂▂▂▂▂▂▂▃▃▃▃▃▃▂▂▂▂▂▂▂
雄性不育	2013	1.16	2013	2017	▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃▂▂▂▂▂▂
番茄	2015	1.53	2015	2018	▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▂▂▂▂▂
关联分析	2015	1.46	2015	2017	▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▂▂▂▂▂▂
小麦	2006	1.28	2015	2019	▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃▂▂▂▂
激素	2016	1.22	2016	2017	▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂▂▂▂
玉米	2018	1.25	2018	2019	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂▂
山葡萄	2018	1.03	2018	2019	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂▂
孕穗期	2018	1.03	2018	2019	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂▂
性别	2018	1.03	2018	2019	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂▂
重测序	2019	1.84	2019	2020	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
大白菜	2003	1.84	2019	2020	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
抗病基因	2019	1.44	2019	2021	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▂▂
BSA法	2019	1.38	2019	2020	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
基因	2019	1.15	2019	2020	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂▂
茄子	2020	1.48	2020	2021	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▂▂
花生	2021	2.38	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃
候选基因	2017	1.79	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃
陆地棉	2017	1.67	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃
突变体	2021	1.36	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃
功能验证	2019	1	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃

表3

图7

表4

WOS数据库2000~2023年被引用次数最多的前25个关键词"

关键词	首次出现年份	突现强度	突现起始年份	突现结束年份	突现分布年份区间(2000~2023年)
Molecular markers	2000	18.63	2000	2011	▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂
Resistance genes	2000	15.82	2000	2011	▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂
Linkage map	2000	11.53	2000	2003	▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂
AFLP markers	2000	11.33	2000	2005	▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂
RAPD markers	2000	11.05	2000	2012	▃▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂
Populations	2000	10.89	2000	2003	▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂
RAPD	2000	9.4	2000	2009	▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂
AFLP	2001	19.25	2001	2013	▂▃▃▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂
RFLP	2001	16.41	2001	2009	▂▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂
Microsatellite markers	2003	15.8	2003	2013	▂▂▂▃▃▃▃▃▃▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂
Inheritance	2000	8.55	2003	2007	▂▂▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂
Assisted selection	2001	8.54	2005	2009	▂▂▂▂▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂
Map	2000	8.74	2008	2012	▂▂▂▂▂▂▂▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂
SSR markers	2010	8.91	2010	2017	▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃▃▃▃▂▂▂▂▂▂
F. sp. tritici	2004	9.11	2012	2019	▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃▃▃▃▂▂▂▂
Reveals	2018	8.96	2018	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃▃
Rice	2004	13.14	2019	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃
Biosynthesis	2003	9.53	2019	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃
QTL-seq	2017	9.5	2019	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃
Genome	2003	8.5	2019	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃▃
Expression	2003	21.55	2020	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃
Encodes	2016	11.9	2020	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃
Protein	2004	10.04	2020	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃
Yield	2010	8.48	2020	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃▃
Fine mapping	2015	8.5	2021	2023	▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▃▃▃

表4

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年份	国家
年份	中国	美国	印度	德国	澳大利亚
2000~2002	4.33±0.33^dB	20.00±4.16^abA	4.33±0.33^cB	3.67±0.88^aB	4.33±1.45^bB
2003~2005	4.33±1.86^dB	20.00±3.06^abA	4.33±0.67^cBC	9.67±1.76^aBC	4.00±0.58^bC
2006~2008	15.00±1.73^cdA	13.00±2.52^bcA	4.67±1.20^cB	3.67±0.67^aB	5.00±2.08^bB
2009~2011	21.67±1.33^cdA	9.33±0.88^cB	5.67±1.20^cC	2.00±0.58^aD	2.67±0.88^bCD
2012~2014	25.00±1.00^cdA	16±0.58^bcB	9.67±0.88^bC	2.67±0.33^aD	2.33±0.67^bD
2015~2017	36.67±1.76^cA	21.33±4.06^abB	13.00±1.73^abC	3.33±0.33^aD	4.00±0.58^bD
2018~2020	66.00±8.74^bA	26.00±0.58^aB	11.00±0.58^bC	2.67±0.67^aC	5.00±0.58^bC
2021~2023	123.00±12.81^aA	24.33±3.84^abB	14.67±1.20^aB	12.00±8.00^aB	9.33±1.67^aB

频次	中心性	年份	共被引作者
1161	0.63	2000	Michlmore RW
441	0.15	2000	Kosambi DD
427	0.17	2014	Li H
400	0.19	2000	Lander ES
324	0.08	2015	Takgi H
283	0.13	2000	Vos P
234	0.07	2017	Mckenna A
218	0.06	2015	Abe A
165	0.07	2004	Murray MG
160	0.05	2001	Doyte JJ

基于文献计量学BSA在作物育种领域的应用现状与展望

Application and prospect of BSA method based on bibliometrics in crop breeding

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[4]	马惠平，赵永亮，杨光宇. 诱变技术在作物育种中的应用[J]. 遗传, 1998, 20(4): 48-50.