Crops ›› 2021, Vol. 37 ›› Issue (4): 26-31.doi: 10.16035/j.issn.1001-7283.2021.04.004

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Analysis of Genetic Diversity of Rice Varieties (Lines) in Shandong Province

Zhang Quanfang1(), Jiang Mingsong2(), Chen Feng2, Zhu Wenyin2, Zhou Xuebiao2, Yang Lianqun1, Xu Jiandi2()   

  1. 1Institute of Crop Germplasm Resource, Shandong Academy of Agricultural Sciences, Jinan 250100, Shandong, China
    2Institute of Wetland Agriculture and Ecology, Shandong Academy of Agricultural Sciences, Jinan 250100, Shandong, China
  • Received:2020-08-19 Revised:2020-09-01 Online:2021-08-15 Published:2021-08-13
  • Contact: Xu Jiandi E-mail:zhquanfang@163.corn;sds2317831@163.com;xjiandi79@163.com

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Abstract:

Genetic diversity of 48 rice varieties (lines) in Shandong were analyzed with 48 pairs of SSR primers published in the agricultural industry standard (NY/T 1433-2014) and fluorescent SSR-PCR technology was used in automatic DNA analyzer. The results indicated that a total of 40 pairs of SSR primers performed polymorphism and the polymorphism rate was 83.3%. One hundred and thirty-three alleles were detected with an average of 3.32, ranged from one to seven alleles per locus. The value of PIC ranged from 0.0384 to 0.7333 with an average of 0.2560 per SSR marker. The value of marker index (MI) ranged from 0.08 to 5.13, with an average of 0.93 per SSR marker. The genetic similarity coefficients (GSC) of 48 varieties (lines) ranged from 0.6390 to 0.9859, with an average of 0.7800, and GSCs of 89.6% tested materials ranged from 0.7189 to 0.9859 which showed they had closer genetic relationship. On the basis of GSCs, 48 varieties (lines) were divided into four groups at the threshold of 0.75 by UPGMA method. The results showed that the rice varieties (lines) in Shandong province had closer genetic relationship with each other and the genetic diversity was not enough. It was necessary to explore the genetic resources and enlarge the genetic background in order to increase the yield in current rice breeding.

Key words: Rice, SSR markers, Genetic diversity, Cluster analysis

Table 1

Name and origin of the rice varieties (lines)"

编号
Number		 品种（系）
Variety (line)		 来源
Origin		 编号
Number		 品种（系）
Variety (line)		 来源
Origin
1 圣稻13 Shengdao 13 山东省水稻研究所 25 大粮203 Daliang 203 临沂市大粮种业有限公司
2 圣稻14 Shengdao 14 山东省水稻研究所 26 大粮207 Daliang 207 临沂市大粮种业有限公司
3 圣稻15 Shengdao 15 山东省水稻研究所 27 润农303 Runnong 303 临沂市大粮种业有限公司
4 圣稻16 Shengdao 16 山东省水稻研究所 28 大粮306 Daliang 306 临沂市大粮种业有限公司
5 圣稻17 Shengdao 17 山东省水稻研究所 29 阳光600 Yangguang 600 郯城县种子公司
6 圣稻18 Shengdao 18 山东省水稻研究所 30 阳光800 Yangguang 800 郯城县种子公司
7 圣稻19 Shengdao 19 山东省水稻研究所 31 阳光900 Yangguang 900 郯城县种子公司
8 圣稻20 Shengdao 20 山东省水稻研究所 32 阳光958 Yangguang 958 郯城县种子公司
9 圣稻22 Shengdao 22 山东省水稻研究所 33 润农4号 Runnong 4 山东润农种业科技有限公司
10 圣稻23 Shengdao 23 山东省水稻研究所 34 润农早粳1号
Runnongzaojing 1		 山东润农种业科技有限公司
11 圣稻24 Shengdao 24 山东省水稻研究所 35 润农11 Runnong 11 山东润农种业科技有限公司
12 圣稻25 Shengdao 25 山东省水稻研究所 36 丰稻4号 Fengdao 4 山东省农业科学院生物技术研究中心
13 圣稻26 Shengdao 26 山东省水稻研究所 37 临稻10 Lindao 10 临沂市水稻研究所
14 圣糯139 Shengnuo 139 山东省水稻研究所 38 临稻15 Lindao 15 临沂市水稻研究所
15 圣香136 Shengxiang 136 山东省水稻研究所 39 临稻16 Lindao 16 沂南县水稻研究所
16 圣稻2572 Shengdao 2572 山东省水稻研究所 40 临稻18 Lindao 18 沂南县水稻研究所
17 圣稻27 Shengdao 27 山东省水稻研究所 41 临稻19号 Lindao 19 临沂市水稻研究所
18 圣稻1722 Shengdao 1722 山东省水稻研究所 42 临稻20 Lindao 20 沂南县水稻研究所
19 圣稻3466 Shengdao 3466 山东省水稻研究所 43 临稻21号 Lindao 21 临沂市农业科学院
20 香粳9407 Xiangjing 9407 山东省水稻研究所 44 临稻22 Lindao 22 临沂市农业科学院
21 圣稻28 Shengdao 28 山东省水稻研究所 45 临稻23号 Lindao 23 临沂市农业科学院
22 圣香66 Shengxiang 66 山东省水稻研究所 46 垦稻88 Kendao 88 河北省农林科学院滨海农业研究所/
郯城精华种业
23 圣香糯1号 Shengxiangnuo 1 山东省水稻研究所 47 南粳505 Nanjing 505 江苏省农业科学院粮食作物研究所/
山东省水稻研究所
24 圣武糯0146
Shengwunuo 0146		 山东省水稻研究所/
江苏武进稻麦育种场		 48 圣糯1号 Shengnuo 1 山东省水稻研究所

Table 2

Microsatellites primer, chromosome, gene diversity, number of Alleles, PIC value and MI for SSR markers"

引物
Primer		 染色体
Chromosome		 基因多样性
Gene
diversity		 等位基因数
Number
of alleles		 PIC值
PIC
value		 标记
指数
MI
OSR28 9 0.56 4 0.4723 1.89
RM17 12 0.18 3 0.1722 0.52
RM19 12 0.44 2 0.3444 0.69
RM21 11 0.45 6 0.4249 2.55
RM71 2 0.00 1 0.0000 0.00
RM72 8 0.46 5 0.3994 2.00
RM85 3 0.00 1 0.0000 0.00
RM119 4 0.00 1 0.0000 0.00
RM176 6 0.08 2 0.0739 0.15
RM190 6 0.11 2 0.1064 0.21
RM208 2 0.57 3 0.4750 1.42
RM209 11 0.67 4 0.5985 2.39
RM219 9 0.34 4 0.3216 1.29
RM224 11 0.57 3 0.5007 1.50
RM231 3 0.47 3 0.3927 1.18
RM232 3 0.28 4 0.2654 1.06
RM253 6 0.38 2 0.3047 0.61
RM258 10 0.04 2 0.0384 0.08
RM267 5 0.00 1 0.0000 0.00
RM274 5 0.00 1 0.0000 0.00
RM278 9 0.00 1 0.0000 0.00
RM289 5 0.11 2 0.1064 0.21
RM311 10 0.24 5 0.2308 1.15
RM316 9 0.49 2 0.3685 0.74
RM331 8 0.45 3 0.3679 1.10
RM332 11 0.42 3 0.3806 1.14
RM336 7 0.77 7 0.7333 5.13
RM339 8 0.04 2 0.0384 0.08
RM481 7 0.13 4 0.1294 0.52
RM423 2 0.11 2 0.1064 0.21
RM424 2 0.00 1 0.0000 0.00
RM432 7 0.42 2 0.3318 0.66
RM443 1 0.00 1 0.0000 0.00
RM471 4 0.32 2 0.2688 0.54
RM490 1 0.44 4 0.3917 1.57
RM493 1 0.11 2 0.1064 0.21
RM542 7 0.59 4 0.4996 2.00
RM551 4 0.54 3 0.4300 1.29
RM561 2 0.57 3 0.4824 1.45
RM567 4 0.67 4 0.5955 2.38
RM571 3 0.04 2 0.0384 0.08
RM583 1 0.62 6 0.5816 3.49
RM590 10 0.04 2 0.0384 0.08
RM598 5 0.04 2 0.0384 0.08
RM1195 1 0.57 4 0.5127 2.05
RM3331 12 0.45 2 0.3481 0.70
RM7102 12 0.27 2 0.2327 0.47
RM8277 3 0.04 2 0.0384 0.08
平均Mean - 0.29 3.32 0.2560 0.93

Fig.1

The distribution of GSC frequency"

Fig.2

Dendrogram of 48 rice varieties (lines) based on GSC"

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