Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-16T10:06:57.322Z Has data issue: false hasContentIssue false

Identification of quantitative trait loci underlying lutein content in soybean seeds across multiple environments

Published online by Cambridge University Press:  14 June 2017

W. L. TENG
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
W. J. FENG
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
J. Y. ZHANG
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
N. XIA
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
J. GUO
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
W. LI
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
D. P. WU
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
X. ZHAO
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
Y. P. HAN*
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
W. B. LI*
Affiliation:
Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, Heilongjiang 150030, People's Republic of China
*
*To whom all correspondence should be addressed. Email: hyp234286@aliyun.com; wenbinli@neau.edu.cn
*To whom all correspondence should be addressed. Email: hyp234286@aliyun.com; wenbinli@neau.edu.cn

Summary

Lutein benefits human health significantly, including that of the eyes, skin and heart. Therefore, increasing lutein content in soybean seeds is an important objective for breeding programmes. However, no information about soybean lutein-related quantitative trait loci (QTL) has been reported, as of 2016. The aim of the present study was to identify QTLs underlying the lutein content in soybean seeds. A population including 129 recombinant inbred lines was developed from the cross between ‘Dongnong46’ (lutein 13·10 µg/g) and ‘L-100’ (lutein 23·96 µg/g), which significantly differed in seed lutein contents. This population was grown in ten environments including Harbin in 2012, 2013, 2014 and 2015; Hulan in 2013, 2014 and 2015; and Acheng in 2013, 2014 and 2015. A total of 213 simple sequence repeat markers were used to construct the genetic linkage map, which covered approximately 3623·39 cM, with an average distance of 17·01 cM between markers. In the present study, eight QTLs associated with lutein content were found initially, which could explain 1·01–19·66% of the observed phenotypic variation in ten different tested environments. The phenotypic contribution of qLU-1 (located near BARC-Satt588 on chromosome 9 (Chr 9; linkage group (LG) K)) was >10% across seven tested environments, while qLU-2 (located near Satt192 of Chr 12 (LG H)) and qLU-3 (located near Satt353 of Chr12 (LGH)) could explain 5–10% of the observed phenotypic variation in more than seven environments, respectively. qLU-5, qLU-6, qLU-7 and qLU-8 could be detected in more than four environments. These eight QTLs were novel, and have considerable potential value for marker-assistant selection of higher lutein content in soybean lines.

Type
Crops and Soils Research Papers
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Abbo, S., Molina, C., Jungmann, R., Grusak, M. A., Berkovitch, Z., Reifen, R. U., Kahl, G., Winter, P. & Reifen, R. (2005). Quantitative trait loci governing carotenoid concentration and weight in seeds of chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 111, 185195.CrossRefGoogle ScholarPubMed
Baroli, I. & Niyogi, K. K. (2000). Molecular genetics of xanthophyll dependent photoprotection in green algae and plants. Philosophical Transactions of the Royal Society B 355, 13851394.Google Scholar
Blum, A., Klueva, N. & Nguyen, H. T. (2001). Wheat cellular thermo tolerance is related to yield under heat stress. Euphytica 117, 117123.Google Scholar
Cregan, P. B., Jarvik, T., Bush, A. L., Shoemaker, R. C., Lark, K. G., Kahler, A. L., Kaya, N., VanToai, T. T., Lohnes, D. G., Chung, J. & Specht, J. E. (1999). An integrated genetic linkage map of the soybean genome. Crop Science 39, 14641490.CrossRefGoogle Scholar
Dwyer, J. H., Navab, M., Dwyer, K. M., Hassan, K., Sun, P., Shircore, A., Hama-Levy, S., Hough, G., Wang, X., Drake, T., Merz, C. N. & Fogelman, A. M. (2001). Oxygenated carotenoid lutein and progression of early atherosclerosis: the Los Angeles atherosclerosis study. Circulation 103, 29222927.Google Scholar
Granado, F., Olmedilla, B. & Blanco, I. (2003). Nutritional and clinical relevance of lutein in human health. British Journal of Nutrition 90, 487502.Google Scholar
Han, Y., Teng, W., Yu, K., Poysa, V., Anderson, T., Qiu, L., Lightfoot, D. A. & Li, W. (2008). Mapping QTL tolerance to Phytophthora root rot in soybean using microsatellite and RAPD/SCAR derived markers. Euphytica 162, 231239.Google Scholar
Heinrich, U., Gartner, C., Wiebusch, M., Eichler, O., Sies, H., Tronnier, H. & Stahl, W. (2003). Supplementation with betacarotein or a similar amount of mixed carotenoids protects humans from UV-induced erythema. Journal of Nutrition 133, 98101.CrossRefGoogle ScholarPubMed
Hyten, D. L., Choi, I. Y., Song, Q. J., Specht, J. E., Carter, T. E., Shoemaker, R. C., Hwang, E. Y., Matukumalli, L. K. & Cregan, P. B. (2010). A high density integrated genetic linkage map of soybean and the development of a 1536 universal soy linkage panel for quantitative trait locus mapping. Crop Science 50, 960968.Google Scholar
Johnson-Down, L., Saudny-Unterberger, H. & Gray-Donald, K. (2002). Food habits of Canadians: lutein and lycopene intake in the Canadian population. Journal of the American Dietetic Association 102, 988991.Google Scholar
Kanamaru, K., Wang, S., Abe, J., Yamada, T. & Kitamura, K. (2006). Identification and characterization of wild soybean (Glycine soja Sieb. et Zecc.) strains with high lutein content. Breeding Science 56, 231234.Google Scholar
Lander, E. S., Green, P., Abrahamson, J., Barlow, A., Daly, M. J., Lincoln, S. E. & Newburg, L. (1987). Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1, 174181.CrossRefGoogle ScholarPubMed
Landurm, J. T. & Bone, R. A. (2001). Lutein, zeanxanthin, and the macular pigment. Archive of Biochemistry and Biophysics 385, 2840.Google Scholar
Lee, J. D., Shannon, J. G., So, Y. S., Sleper, D. A., Nelson, R. L., Lee, J. H. & Choung, M. G. (2009). Environmental effects on lutein content and relationship of lutein and other seed components in soybean. Plant Breeding 128, 97100.CrossRefGoogle Scholar
Monma, M., Terado, J., Ito, M., Saito, M. & Chikuni, K. (1994). Carotenoid components in soybean seeds varying with seed color and maturation stage. Bioscience, Biotechnology, and Biochemistry 58, 926930.Google Scholar
Primomo, V. S., Poysa, V., Ablett, G. R., Jackson, C. J., Gijzen, M. & Rajcan, I. (2005). Mapping QTL for individual and total isoflavone content in soybean seeds. Crop Science 45, 24542464.CrossRefGoogle Scholar
Seguin, P., Tremblay, G., Pageau, D., Liu, W. & Turcotte, P. (2011). Soybean lutein concentration: impact of crop management and genotypes. Crop Science 51, 11511160.CrossRefGoogle Scholar
Seppanen, C. M., Rahmani, M. & Csallany, A. S. (2003). Simultaneous determination of chlorophylls, pheophytins, β-carotene, tocopherols, and tocotrienols in olive and soybean oils by high-performance liquid chromatography. Journal of Food Science 68, 16441647.Google Scholar
Simonne, A. H., Smith, M., Weaver, D. B., Vail, T., Barnes, S. & Wei, C. I. (2000). Retention and changes of soy isoflavones and carotenoids in immature soybean seeds (Edamame) during processing. Journal of Agricultural and Food Chemistry 48, 60616069.Google Scholar
Song, Q. J., Marek, L. F., Shoemaker, R. C., Lark, K. G., Concibido, V. C., Delannay, X., Specht, J. E. & Cregan, P. B. (2004). A new integrated genetic linkage map of the soybean. Theoretical and Applied Genetics 109, 122128.Google Scholar
Voorrips, R. E. (2002). MapChart: software for the graphical presentation of linkage maps and QTL. Journal of Heredity 93, 7778.CrossRefGoogle Scholar
Wang, S., Kanamaru, K., Li, W., Abe, J., Yamada, T. & Kitamura, K. (2007). Simultaneous accumulation of high contents of α-tocopherol and lutein is possible in seeds of soybean (Glycine max (L.) Merr.). Breeding Science 57, 297304.Google Scholar
Whent, M., Hao, J., Slavin, M., Zhou, M., Song, J., Kenworthy, W. & Yu, L. (2009). Effect of genotype, environment, and their interaction on chemical composition and antioxidant properties of low-linolenic soybeans grown in Maryland. Journal of Agricultural and Food Chemistry 57, 1016310174.CrossRefGoogle ScholarPubMed
Wong, J. C., Lambert, R. J., Wurtzel, E. T. & Rocheford, T. R. (2004). QTL and candidate genes phytoene synthase and ζ-carotene desaturase associated with the accumulation of carotenoids in maize. Theoretical and Applied Genetics 108, 349359.Google Scholar
Yan, W. (2001). GGE biplot – a windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal 93, 11111117.Google Scholar
Zhang, W. B., Qiu, P. C., Jiang, H. W., Liu, C. Y., Xin, D. W., Li, C. D., Hu, G. H. & Chen, Q. S. (2012). Dissection of genetic overlap of drought and low-temperature tolerance QTLs at the germination stage using backcross introgression lines in soybean. Molecular Biology Reports 39, 60876094.Google Scholar