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Acta Agronomica Sinica ›› 2020, Vol. 46 ›› Issue (12): 1905-1913.doi: 10.3724/SP.J.1006.2020.04035

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

Correlation between SSR markers and fiber yield related traits in jute (Corchorus spp.)

Li-Lan ZHANG1,2,3(), Lie-Mei ZHANG1(), Huan-Ying NIU1, Yi XU1,2,3, Yu LI1,2,3, Jian-Min QI1,2, Ai-Fen TAO1,2, Ping-Ping FANG1,2, Li-Wu ZHANG1,2,3,*()   

  1. 1Key Laboratory of Ministry of Education for Genetics, Breeding and Multiple Utilization of Crops / Fujian Key Laboratory for Crop Breeding by Design / College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
    2Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast China / Fujian Public Platform for Germplasm Resources of Bast Fiber Crops / Fujian International Science and Technology Cooperation Base for Genetics, Breeding and Multiple Utilization Development of Southern Economic Crops, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
    3Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
  • Received:2020-02-16 Accepted:2020-04-15 Online:2020-05-11 Published:2020-11-25
  • Contact: Li-Wu ZHANG E-mail:1204549467@qq.com;zhangliemei@126.com;lwzhang@fafu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(31771369);China Agriculture Research System(CARS-19-E06)

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Abstract:

Simple sequence repeat (SSR) markers correlated to fiber yield traits would be a beneficial tool for molecular marker-assisted breeding in jute. In this study, 397 SSR markers were screened from 311 jute germplasms by the phenotype identification from 2016 to 2018 and 116 pairs of primers. The correlation analysis between SSR markers and fiber yield related traits by SPSS revealed that the range of the coefficient of variation related to 9 fiber traits was from 13.05% to 76.78%, indicating a comprehensive genetic variation. The correlation analysis of the agronomic traits showed that there were significantly correlations among these traits. The average correlation coefficient between branch height and nodes of main stem was the highest (r = 0.931), followed by the correlation coefficients (r = 0.781) of fresh bark weight per plant and fresh stem weight per plant and the coefficients (r = 0.779) of dry bark weight and fresh bark weight per plant. Analysis of variance (ANOVA) showed that the traits of main stem nodes, number of branches, plant height and branch height were relatively stable in different years with the higher broad heritability capacity. Furthermore, the SSR markers associated with fiber yield related traits were identified by Pearson correlation method. Stepwise regression analysis among each trait associated SSR markers indicated that there were six markers associated significantly with fiber yield related traits, and phenotypic variation explained by each SSR marker varied from 3.9% to 22.5%. These results will accelerate the development of molecular design breeding in jute.

Key words: jute, fiber yield, agronomic traits, SSR, correlation, regression analysis

Table 1

Statistical analysis of 9 traits correlated to fiber yield in jute"

性状
Trait		 年份
Year		 平均值±标准差
Mean ± SD		 最大值
Maximum		 最小值
Minimum		 变异系数
CV (%)		 遗传多样性指数
Shannon-Wiener index
株高PH (cm) 2016 331.97±43.33 459.10 43.33 13.05 1.89
2017 334.69±51.40 482.90 51.40 15.36 2.10
2018 384.37±64.21 514.90 64.21 16.71 2.40
分枝高BH (cm) 2016 110.35±72.04 352.00 6.57 65.29 2.32
2017 106.62±67.36 391.40 4.10 63.17 2.34
2018 170.23±82.87 427.90 5.33 48.68 2.62
茎粗SD (mm) 2016 18.26±2.42 23.72 2.42 13.27 1.82
2017 20.44±3.30 28.96 3.30 16.16 2.23
2018 20.88±3.31 28.37 3.31 15.83 2.17
鲜皮厚FBT (mm) 2016 1.33±0.23 2.00 0.23 17.21 1.95
2017 1.29±0.25 2.02 0.25 19.24 2.08
2018 1.17±0.32 2.05 0.32 27.53 2.46
节数NMS (个) 2016 18.82±13.48 50.30 1.00 71.63 2.11
2017 19.02±14.38 78.70 1.00 75.61 2.23
2018 26.37±14.76 81.33 1.00 55.96 2.48
分枝数NB (个) 2016 19.15±13.81 55.20 2.10 72.12 2.19
2017 20.55±17.41 74.00 1.50 84.73 2.38
2018 18.75±14.39 70.30 2.20 76.78 2.28
单株鲜茎重FSW (g) 2016 682.18±244.1 1462.00 71.75 35.79 2.23
2017 611.51±206.6 1266.00 64.00 33.79 2.14
2018 598.62±231.7 1380.00 97.00 38.71 2.23
单株鲜皮重FBW (g) 2016 172.8±66.20 421.00 43.50 38.31 2.34
2017 131.35±66.09 394.00 7.50 50.31 2.37
2018 128.71±70.57 330.00 8.00 54.83 2.49
单株干皮重DBW (g) 2016 42.92±14.95 141.00 14.95 34.84 1.52
2017 39.32±19.02 110.00 4.00 48.38 1.93
2018 31.00±16.84 104.00 6.00 54.31 1.78

Table 2

Analysis of variance of 9 fiber yield traits in jute"

性状
Trait		 差异源
Source		 自由度
DF		 总方差
SS		 均方
MS		 P值
P-value		 广义遗传力
Broad-sense capacity
株高PH 年份Years 2 197,483.34 98,741.67 <0.01 -
品种Varieties 310 2,018,314.68 6,510.69 <0.01 0.81
分枝高BH 年份Years 2 533,367.61 266,683.80 <0.01 -
品种Varieties 310 3,902,352.97 12,588.24 <0.01 0.78
茎粗SD 年份Years 2 461.51 230.76 <0.01 -
品种Varieties 310 5,529.13 17.84 <0.01 0.71
鲜皮厚FBT 年份Years 2 4.90 2.45 <0.01 -
品种Varieties 310 35.52 0.11 <0.01 0.61
节数NMS 年份Years 2 8,788.61 4,394.31 <0.01 -
品种Varieties 310 149,702.87 482.91 <0.01 0.82
分枝数NB 年份Years 2 480.19 240.09 0.019 -
品种Varieties 310 187,378.60 604.45 <0.01 0.90
单株鲜茎重FSW 年份Years 2 1,291,406.03 645,703.01 <0.01 -
品种Varieties 310 28,003,667.06 90,334.41 <0.01 0.72
单株鲜皮重FBW 年份Years 2 270,421.30 135,210.65 <0.01 -
品种Varieties 310 2,529,200.96 8,158.71 <0.01 0.72
单株干皮重DBW 年份Years 2 10,322.48 5,161.24 <0.01 -
品种Varieties 310 104,444.51 336.92 <0.01 0.70

Table 3

Correlation analysis among different years for 9 fiber yield traits in jute"

年份Year 性状
Trait		 2016 2017
2017 株高PH 0.727**
分枝高BH 0.835**
茎粗SD 0.489**
鲜皮厚FBT 0.328**
节数NMS 0.774**
分枝数NB 0.806**
单株鲜茎重FSW 0.458**
单株鲜皮重FBW 0.541**
单株干皮重DBW 0.307**
2018 株高PH 0.684** 0.741**
分枝高BH 0.597** 0.626**
茎粗SD 0.344** 0.474**
鲜皮厚FBT 0.177* 0.381**
节数NMS 0.625** 0.635**
分枝数NB 0.725** 0.771**
单株鲜茎重FSW 0.368** 0.370**
单株鲜皮重FBW 0.396** 0.528**
单株干皮重DBW 0.267** 0.398**

Table 4

Correlation analysis among 9 fiber yield traits in jute"

年份
Year		 株高
PH		 分枝高
BH		 茎粗
SD		 鲜皮厚
FBT		 节数
NMS		 分枝数
NB		 单株鲜茎重
FSW		 单株鲜皮重
FBW
分枝高
BH		 2016 0.018
2017 0.302**
2018 0.398**
茎粗
SD		 2016 0.537** 0.102
2017 0.715** 0.176**
2018 0.542** 0.215**
鲜皮厚
FBT		 2016 0.370** 0.063 0.751**
2017 0.519** 0.074 0.728**
2018 0.385** 0.055 0.688**
节数
NMS		 2016 0.098 0.959** 0.104 0.087
2017 0.214** 0.927** 0.115 0.039
2018 0.282** 0.908** 0.159** 0.055
分枝数
NB		 2016 0.547** -0.667** 0.321** 0.234** -0.706**
2017 0.442** -0.510** 0.437** 0.411** -0.553**
2018 0.468** -0.435** 0.262** 0.358** -0.508**
单株鲜茎重
FSW		 2016 0.509** 0.291** 0.715** 0.634** 0.309** 0.535**
2017 0.596** 0.169** 0.741** 0.646** 0.190** 0.495**
2018 0.709** 0.054 0.662** 0.644** 0.001 0.551**
单株鲜皮重
FBW		 2016 0.607** 0.027 0.798** 0.695** 0.059 0.480** 0.816**
2017 0.730** 0.202** 0.783** 0.700** 0.158** 0.424** 0.717**
2018 0.703** 0.241** 0.671** 0.660** 0.168** 0.384** 0.809**
单株干皮重
DBW		 2016 0.522** 0.020 0.529** 0.535** 0.025 0.299** 0.609** 0.714**
2017 0.797** 0.195** 0.730** 0.615** 0.140* 0.458** 0.654** 0.883**
2018 0.666** 0.382** 0.422** 0.355** 0.399** 0.302** 0.702** 0.740**

Table 5

Correlation coefficients between partial SSR markers and 9 fiber yield traits in jute"

标记
Marker		 株高
PH		 分枝高
BH		 节数
NMS		 茎粗
SD		 鲜皮厚
FBT		 分枝数
NB		 单株鲜茎重
FSW		 单株鲜皮重
FBW		 单株干皮重
DBW
CoSSR068 -0.120* -0.090 -0.160 -0.07 -0.04 -0.020 -0.110 -0.110 -0.100
CoSSR119 -0.010 -0.240** 0.130** 0.031 0.15* 0.130* 0.052 0.020 0.007
CoSSR100 0.051 -0.090 0.280 -0.022 -0.02 0.028 0.028 -0.004 -0.020
CoEMS250 -0.020 -0.020 0.030 -0.021 0.045 0.029 -0.010 -0.012 0.018
CoEMS474 -0.160** -0.090 -0.020 -0.045 -0.04 -0.020 -0.010 -0.120** -0.130*
CoSSR099 0.131* -0.070 0.130* -0.072 -0.04 0.133* 0.111 0.0370 0.110
CoSSR094 0.147** -0.170** 0.200** 0.195** 0.22** 0.200** 0.174** 0.213** 0.065
CoSSR090 -0.140 -0.150* 0.023 -0.170** -0.11 0.023 -0.090 -0.130* -0.104
CcID066 0.127* -0.160** 0.170* -0.120* -0.04 0.130* 0.076 -0.023 0.049
CcID167 0.176** -0.100 0.180** 0.190** 0.30** 0.180** 0.168** 0.294** 0.230**
CoSSR133 0.147* -0.070 0.140* 0.099 0.13* 0.140* 0.088 0.090 0.014
CoSSR086 0.208** -0.120* 0.210** 0.255** 0.33** 0.210** 0.226** 0.324** 0.190**
CoSSR164 0.081 0.092 0.095 -0.180** -0.10 -0.100 -0.050 -0.012 0.031
CcSSR019 0.215** -0.140* 0.241 0.245** 0.34** 0.240** 0.243** 0.327** 0.217**
CcSSR045 -0.110* -0.210* 0.063 -0.160** -0.15** -0.060 -0.100 -0.105 -0.080

Table 6

Stepwise multiple regression analysis between SSR markers and fiber yield traits"

性状
Trait		 SSR标记
SSR marker		 贡献率
Phenotypic variation explained, R2 (%)		 标准回归系数
Standardized regression coefficients
株高PH CcID102 19.9 -0.316
分枝高BH CoSSR179 12.1 0.347
茎粗SD CoSSR015 13.1 0.361
鲜皮厚FBT Juph059 22.5 0.475
节数NMS CoSSR179 11.1 -0.333
分枝数NB CcID102 3.9 0.197
单株鲜茎重FSW CoSSR305 15.3 0.391
单株鲜皮重FBW CoSSR192 20.2 -0.449
单株干皮重DBW CoSSR192 7.1 -0.266
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