Institute of Industrial Crops
Institute of Industrial Crops
Li H.,Institute of Industrial Crops |
Li H.,Henan Academy of Agricultural science |
Wang X.,Zhoukou Normal University |
Ma Y.,Henan Academy of Agricultural science |
And 18 more authors.
Crop Science | Year: 2013
Phytic acid is the major form of P in crop seeds. To reveal the correlations between phytic acid concentration (PAC) in soybean [Glycine max (L.) Merr.] seed and ecophysiological factors, the soybean cultivar Yudou25 was planted at five locations of Henan, China, on 13 different sowing dates in 2009 and 2010. Results showed that six ecophysiological factors were highly correlated with PAC, including four soil nutrition factors (available K [AK], available P [AP], hydrolyzable N [HN], and S in soil) and two meteorological factors (diurnal temperature range at blooming and podding [DTRBP] and mean temperature at seed filling and maturity [MTFM]) from high to low in the contribution to the PAC difference. Phytic acid concentration was negatively correlated with AK and HN but positively correlated with AP and available S, DTRBP, and MTFM. These results have potentially wide applications for the production of lower PAC soybean seeds. © © Crop Science Society of America All rights reserved.
Fan X.,Nanjing Agricultural University |
Fan X.,Institute of Industrial Crops |
Guo Q.,Institute of Industrial Crops |
Xu P.,Institute of Industrial Crops |
And 6 more authors.
PLoS ONE | Year: 2015
WRKY transcription factors are plant-specific, zinc finger-type transcription factors. The WRKY superfamily is involved in abiotic stress responses in many crops including cotton, a major fiber crop that is widely cultivated and consumed throughout the world. Salinity is an important abiotic stress that results in considerable yield losses. In this study, we identified 109 WRKY genes (GarWRKYs) in a salt-tolerant wild cotton species Gossypium aridum from transcriptome sequencing data to elucidate the roles of these factors in cotton salt tolerance. According to their structural features, the predicted members were divided into three groups (Groups I-III), as previously described for Arabidopsis. Furthermore, 28 salt-responsive GarWRKY genes were identified from digital gene expression data and subjected to real-time quantitative RT-PCR analysis. The expression patterns of most GarWRKY genes revealed by this analysis are in good agreement with those revealed by RNA-Seq analysis. RT-PCR analysis revealed that 27 GarWRKY genes were expressed in roots and one was exclusively expressed in roots. Analysis of gene orthology and motif compositions indicated that WRKY members from Arabidopsis , rice and soybean generally shared the similar motifs within the same subgroup, suggesting they have the similar function. Overexpression-GarWRKY17 and -GarWRKY104 in Arabidopsis revealed that they could positively regulate salt tolerance of transgenic Arabidopsis during different development stages. The comprehensive data generated in this study provide a platform for elucidating the functions of WRKY transcription factors in salt tolerance of G. aridum. In addition, GarWRKYs related to salt tolerance identified in this study will be potential candidates for genetic improvement of cultivated cotton salt stress tolerance. © 2015 Fan et al.
PubMed | Institute of Industrial Crops
Type: Journal Article | Journal: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik | Year: 2013
Water soluble protein content (SPC) plays an important role in the functional efficacy of protein in food products. Therefore, for the identification of quantitative trait loci (QTL) associated with SPC, 212 F(2:9) lines of the recombinant inbred line (RIL) population derived from the cross of ZDD09454 Yudou12 were grown along with the parents, in six different environments (location year) to determine inheritance and map solubility-related genes. A linkage map comprising of 301 SSR markers covering 3,576.81 cM was constructed in the RIL population. Seed SPC was quantified with a macro-Kjeldahl procedure in samples collected over multiple years from three locations (Nantong in 2007 and 2008, Zhengzhou in 2007 and 2008, and Xinxiang in 2008 and 2009). SPC demonstrated transgressive segregation, indicating a complementary genetic structure between the parents. Eleven putative QTL were associated with SPC explaining 4.5-18.2 % of the observed phenotypic variation across the 6 year/location environments. Among these, two QTL (qsp8-4, qsp8-5) near GMENOD2B and Sat_215 showed an association with SPC in multiple environments, suggesting that they were key QTL related to protein solubility. The QTL environment interaction demonstrated the complex genetic mechanism of SPC. These SPC-associated QTL and linked markers in soybean will provide important information that can be utilized by breeders to improve the functional quality of soybean varieties.