Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-24T03:09:42.828Z Has data issue: false hasContentIssue false
  • English
  • Français

Identification of quantitative trait loci underlying seed shape in soybean across multiple environments

Published online by Cambridge University Press:  12 December 2017

W. L. Teng ,
M. N. Sui ,
W. Li ,
D. P. Wu ,
X. Zhao ,
H. Y. Li ,
Y. P. Han  and
W. B. Li
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
M. N. Sui
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
H. Y. 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
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
*
Author for correspondence: Y. P. Han and W. B. Li, E-mail: [email protected], [email protected]
Author for correspondence: Y. P. Han and W. B. Li, E-mail: [email protected], [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Seed shape (SS) affects the yield and appearance of soybean seeds significantly. However, little detailed information has been reported about the quantitative trait loci (QTL) affecting SS, especially SS components such as seed length (SL), seed width (SW) and seed thickness (ST), and their mutual ratios of length-to-weight (SLW), length-to-thickness (SLT) and weight-to-thickness (SWT). The aim of the present study was to identify QTL underlying SS components using 129 recombinant inbred lines derived from a cross between Dongnong46 and L-100. Phenotypic data were collected from this population after it was grown across nine environments. 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. Five QTL were identified as being associated with SL, five with SW, three with ST, four with SLW, two with SLT and three with SWT. These QTL could explain 1·46–22·16% of the phenotypic variation in SS component traits. Three QTL were identified in more than six tested environments three for SL, two for SW, one for ST, two for SLW and one for SLT. These QTL have great potential value for marker-assistant selection of SS in soybean seeds.

Keywords

Quantitative trait locisimple sequence repeatmarker-assistant selectionsoybeanseed shape
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 156 , Issue 1 , January 2018 , pp. 3 - 12
Check for updates
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

Aastveit, AH and Aastveit, K (1993) Effects of genotype–environment interactions on genetic correlations. Theoretical and Applied Genetics 86, 1007–1013.Google Scholar
Blum, A, Klueva, N and Nguyen, HT (2001) Wheat cellular thermo tolerance is related to yield under heat stress. Euphytica 117, 117–123.Google Scholar
Cober, ER, Voldeng, HD and Fregeau-Reid, JA (1997) Heritability of seed shape and seed size in soybean. Crop Science 37, 1767–1769.Google Scholar
Cregan, PB, Jarvik, T, Bush, AL, Shoemaker, RC, Lark, KG, Kahler, AL, Van Toai, TT, Lohnes, DG, Chung, J and Specht, JE (1999) An integrated genetic linkage map of the soybean genome. Crop Science 39, 1464–1490.CrossRefGoogle Scholar
Fan, C, Xing, Y, Mao, H, Lu, T, Han, B, Xu, C, Li, X and Zhang, Q (2006) GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theoretical and Applied Genetics 112, 1164–1171.Google Scholar
Han, Y, Teng, W, Yu, K, Poysa, V, Anderson, T, Qiu, L, Lightfoot, DA and Li, W (2008) Mapping QTL tolerance to Phytophthora root rot in soybean using microsatellite and RAPD/SCAR derived markers. Euphytica 162, 231–239.Google Scholar
Hu, Z, Zhang, H, Kan, G, Ma, D, Zhang, D, Shi, G, Hong, D, Zhang, G and Yu, D (2013) Determination of the genetic architecture of seed size and shape via linkage and association analysis in soybean (Glycine max L. Merr.). Genetica 141, 247–254.Google Scholar
Hyten, DL, Choi, IY, Song, QJ, Specht, JE, Carter, TE, Shoemaker, RC, Hwang, EY, Matukumalli, LK and Cregan, PB (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, 960–968.Google Scholar
Jofuku, KD, Omidyar, PK, Gee, Z and Okamuro, JK (2005) Control of seed mass and seed yield by the floral homeotic gene APETALA2. Proceedings of the National Academy of Sciences of the United States of America 102, 3117–3122.Google Scholar
Lander, ES, Green, P, Abrahamson, J, Barlow, A, Daly, MJ, Lincoln, SE and Newburg, LA (1987) Mapmaker: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1, 174–181.Google Scholar
Liang, HZ, Li, WD, Wang, H and Fang, XJ (2005) Genetic effects on seed traits in soybean. Acta Genetica Sinica 32, 1199–1204 (in Chinese, Abstract in English).Google Scholar
Li, X, Yan, W, Agrama, H, Jia, L, Shen, X, Jackson, A, Moldenehauer, K, McClung, A and Wu, D (2011 a) Mapping QTLs for improving grain yield using the USDA rice mini-core collection. Planta 234, 347–361.Google Scholar
Li, Y, Fan, C, Xing, Y, Jiang, Y, Luo, L, Sun, L, Shao, D, Xu, C, Li, X, Xiao, J, He, Y and Zhang, Q (2011 b) Natural variation in GS5 plays an important role in regulating grain size and yield in rice. Nature Genetics 43, 1266–1269.Google Scholar
Liu, J, Van Eck, J, Cong, B and Tanksley, SD (2002) A new class of regulatory genes underlying the cause of pear-shaped tomato fruit. Proceedings of the National Academy of Sciences of the United States of America 99, 13302–13306.Google Scholar
Mansur, LM, Orf, JH, Chase, K, Jarvik, T, Cregan, PB and Lark, KG (1996) Genetic mapping of agronomic traits using recombinant inbred lines of soybean. Crop Science 36, 1327–1336.Google Scholar
Mao, H, Sun, S, Yao, J, Wang, C, Yu, S, Xu, C, Li, X and Zhang, Q (2010) Linking differential domain functions of the GS3 protein to natural variation of grain size in rice. Proceedings of the National Academy of Sciences of the United States of America 107, 19579–19584.Google Scholar
Mian, MA, Bailey, MA, Tamulonis, JP, Shipe, ER, Carter, TE Jr, Parrot, WA, Ashely, DA, Hussey, RS and Boema, HR (1996) Molecular markers associated with seed weight in two soybean populations. Theoretical and Applied Genetics 93, 1011–1016.Google Scholar
Nelson, RL and Wang, P (1989) Variation and evaluation of seed shape in soybean. Crop Science 29, 147–150.Google Scholar
Niu, Y, Xu, Y, Liu, XF, Yang, SX, Wei, SP, Xie, FT and Zhang, YM (2013) Association mapping for seed size and shape traits in soybean cultivars. Molecular Breeding 31, 785–794.Google Scholar
Ohto, MA, Fischer, RL, Goldberg, RB, Nakamura, K and Harada, JJ (2005) Control of seed mass by APETALA2. Proceedings of the National Academy of Sciences of the United States of America 102, 3123–3128.Google Scholar
Orf, JH, Chase, K, Jarvik, T, Mausur, LM, Cregan, PB, Adler, FR and Lark, KG (1999) Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Science 39, 1642–1651.Google Scholar
Primomo, VS, Poysa, V, Ablett, GR, Jackson, CJ, Gijzen, M and Rajcan, I (2005) Mapping QTL for individual and total isoflavone content in soybean seeds. Crop Science 45, 2454–2464.Google Scholar
Salas, P, Oyarzo-Llaipen, J, Wang, D, Chase, K and Mansur, L (2006) Genetic mapping of seed shape in three populations of recombinant inbred lines of soybean (Glycine max L. Merr.). Theoretical and Applied Genetics 113, 1459–1466.Google Scholar
Schruff, MC, Spielman, M, Tiwari, S, Adams, S, Fenby, N and Scott, RJ (2006) The auxin response factor 2 gene of arabidopsis links auxin signalling, cell division, and the size of seeds and other organs. Development 133, 251–261.Google Scholar
Singh, AK, Fu, DQ, El-Habbak, M, Navarre, D, Ghabrial, S and Kachroo, A (2011) Silencing genes encoding omega-3 fatty acid desaturase alters seed size and accumulation of bean pod mottle virus in soybean. Molecular Plant-Microbe Interaction 24, 506–515.Google Scholar
Song, QJ, Marker, LF, Shoemaker, RC, Lark, KG, Concibido, VC, Delannay, X, Specht, JE and Cregan, PB (2004) A new integrated genetic linkage map of the soybean. Theoretical and Applied Genetics 109, 122–128.Google Scholar
Song, XJ, Huang, W, Shi, M, Zhu, MZ and Lin, HX (2007) A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase. Nature Genetics 39, 623–630.Google Scholar
Sun, X, Shantharaj, D, Kang, X and Ni, M (2010) Transcriptional and hormonal signaling control of Arabidopsis seed development. Current Opinion in Plant Biology 13, 611–620.Google Scholar
Van Der Knaap, E and Tanksley, SD (2001) Identification and characterization of a novel locus controlling early fruit development in tomato. Theoretical and Applied Genetics 103, 353–358.Google Scholar
Voorrips, RE (2002) Mapchart: software for the graphical presentation of linkage maps and QTL. Journal of Heredity 93, 77–78.Google Scholar
Wang, A, Garcia, D, Zhang, H, Feng, K, Chauchury, A, Berger, F, Peacock, WJ, Dennis, ES and Luo, M (2010) The VQ motif protein IKU1 regulates endosperm growth and seed size in Arabidopsis. Plant Journal 63, 670–679.Google Scholar
Wang, S, Wu, K, Yuan, Q, Liu, X, Liu, Z, Lin, X, Zeng, R, Zhu, H, Dong, G, Qian, Q, Zhang, G and Fu, X (2012) Control of grain size, shape and quality by OsSPL16 in rice. Nature Genetics 44, 950–954.Google Scholar
Xie, FT, Niu, Y, Zhang, J, Bu, SH, Zhang, HZ, Geng, QC, Feng, JY and Zhang, YM (2014) Fine mapping of quantitative trait loci for seed size traits in soybean. Molecular Breeding 34, 2165–2178.Google Scholar
Xu, Y, Li, HN, Li, GJ, Wang, X, Cheng, LG and Zhang, YM (2011) Mapping quantitative trait loci for seed size traits in soybean (Glycine max L. Merr.). Theoretical and Applied Genetics 122, 581–594.Google Scholar
Yan, W (2001) GGE biplot – a windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93, 1111–1117.Google Scholar
Zhou, Y and Ni, M (2010) Short hypocotyl under blue truncations and mutations alter its association with a signaling protein complex in Arabidopsis. Plant Cell 22, 703–715.Google Scholar
Zhou, Y, Zhang, X, Kang, X, Zhao, X, Zhang, X and Ni, M (2009) Short hypocotyls under blue1 associates with MINISEED3 and HAIKU2 promoters in vivo to regulate Arabidopsis seed development. Plant Cell 21, 106–117.Google Scholar