Rang, Z. W.;Jagadish, S. V. K.;Zhou, Q. M.;Craufurd, P. Q.;Heuer, S.
Environmental and Experimental Botany,2011年70(01):58–65 ISSN：0098-8472
[Rang, Z. W.; Jagadish, S. V. K.; Heuer, S.] Int Rice Res Inst, Manila, Philippines.;[Rang, Z. W.; Zhou, Q. M.] Hunan Agr Univ, Coll Agron, Changsha 410128, Hunan, Peoples R China.;[Craufurd, P. Q.] Int Crops Res Inst Semi Arid Trop, Patancheru 502324, Andhra Pradesh, India.
[Jagadish, SVK] Int Rice Res Inst, DAPO Box 7777, Manila, Philippines.
In future climates, rice could more frequently be subjected to simultaneous high temperature and water stress during sensitive developmental stages such as flowering. In this study, five rice genotypes were exposed to high temperature, water stress and combined high temperature and water stress during flowering to quantify their response through spikelet fertility. Microscopic analyses revealed significant differences in anther dehiscence between treatments and genotypes, with a moderately high association with the number of germinated pollen grains on the stigma. There was a strong relationship between spikelet fertility and the number of germinated pollen on stigmas. Although, all three stress treatments resulted in spikelet sterility, high-temperature stress caused the highest sterility in all five genotypes. A cumulative linear decline in spikelet fertility with increasing duration of independent high-temperature stress and in combination with water stress was quantified. Better anther dehiscence, higher in vivo pollen germination, and higher spikelet fertility were observed in both the N22 accessions compared with IR64, Apo and Moroberekan under high temperature, water stress and combined stress, indicating its ability to tolerate multiple abiotic stresses. (C) 2010 Elsevier B.V. All rights reserved.
Oryza sativa L.;stigma exsertion;drought stress;quantitative trait locus (QTL);epistasis;QTL-by-environment (Q x E) interaction
Three floral traits, spikelet number per particle (SNP), percentage of single exserted stigma (PSES) and dual exserted stigma (PDES) of a RI population with 185 lines under water stress and non-stress conditions for two years were investigated in a drought tolerance screening facility. ANOVA results showed high significance between years, lines, and water stress treatments, together with interactions among them in pairs. High phenotypic con-elation was found between PSES and PDES (r = 0.5424***). Based on a linkage map of 203 SSR markers, when under well-watered condition, six QTLs (qSNP-3b, qSNP-4 qSNP-11 qSNP-2, qSNP-5 and qSNT-9) were detected for SNP. Half of them had significant Q x E interactions. Three QTLs (qPSES-1, qPSES-2, qPSES-5) were found to influence PSES, including one locus (qPSES-2) having Q x E interaction. And three QTLs (qPDES-2, qPDES-5 and qPDES-6) were also detected to influence PDES. qPDES-5 was found to have Q x E interaction. The contribution rate of a single QTL varied from 0.80% to 8.83% for additive effect, and 1.86% to 15.25% for Q x E interactions. Under drought stress, six QTLs (qSNP-3a, qSNP-4, qSNP-7a, qSNP-7b, qSNP-8 and qSNP-9) were associated with SNP, including qSNP-3a and qSNP-4 with Q x E interaction. Three QTLs (qPSES-1, qPSES-10 and qPSES-12 were located on nice chromosome 1, 10 and 12 for PSES. Four QTLs (qPDES-1a, qPDES-1b, qPDES-4 and qPDES-9 were detected for PDES, including qPDES-9 with Q x E interaction. The additive effect of single QTL can only explain 1.16% to 5.84% of total variance while Q x E interaction of four loci can explain 4.25% to 11.54% of total variance for each locus. There were one to nine pairs of epistatic QTLs influencing SNP and stigma exsertion. The contribution rates of additive and epistatic effects seemed to be in a low magnitude for most cases (0.76%similar to 9.92%) while a few QTLs or QTL pairs explained more than 10% of total variance. Some main effect QTL and epistasis were commonly detected among PSES and PDES, explaining the high positive correlation between them. Few QTLs were detected under both water stress and non-stress conditions, indicating that drought had severe impact on the genetic behaviors of both spikelet number and stigma exsertion.
Journal of Power Sources,2015年299:301-308 ISSN：0378-7753
[ Liu, Z.H. ; Wu, Y.P. ; Liu, J. ; Yuan, X.H. ; Wu, X.W. ; Hu, J.P. ] College of Science, Natl. Res. Center of Engineering Technology for Utilization of Functional Ingredients from Botanica, College of Agronomy, Hunan Agricultural University, Changsha, China;[ Wu, Y.P. ; Liu, J. ; Zhou, Q.M. ] Department of Chemistry, Fudan University, Shanghai, China;[ Wu, Y.P. ; Liu, J. ; Yuan, X.H. ; Hu, J.P. ] College of Energy, Nanjing Tech University, Nanjing;[ Wu, Y.P. ; Liu, J. ; Yuan, X.H. ; Hu, J.P. ] Jiangsu Province, China;[ Wang, Z.A. ] School of Chemistry and Chemical Engineering, Central South University, Changsha, China
Brevibacillus brevis X23 is an appropriate biocontrol agent against bacterial wilt caused by Ralstonia solanacearum. We report herein the draft genome sequence (6,566,879 bp) and a circular plasmid (6,600 bp) of B. brevis X23, data which may be helpful for mining the antagonistic activity against R. solanacearum.
Cold stress is a major adverse environmental factor that affects plant growth, development, productivity and quality. In the present study, comparative genome-wide transcriptome analysis on two tobacco (Nicotiana tobacum L.) cultivars, cold-tolerant NC567 and cold-sensitive Taiyan8, was performed using RNA-seq technology. After the first assembly, total length of unigenes is from 101,308,644 to 123,781,795 bp, the N50 length is from 1357 to 1475 bp, and 152,688 unigenes in NC567 and 144,160 unigenes in Taiyan8 were identified, respectively. Functional classification of cold-responsive (COR) genes showed that the genes involved in cell wall metabolism, transcription factors, ubiquitin-proteasome system (UPS) and signaling are over-represented, and the COR genes are specifically induced during cold stress in NC567. Pathway analysis revealed the significant enrichment of the COR genes in plant circadian clock. Taken together, the present study suggested the positive roles of the highly induced expression of the COR genes and the conserved mechanism of circadian clock related genes in tobacco response to cold stress, and provided some valuable genes for crop improvement to cope with cold stress. (C) 2015 Elsevier Inc. All rights reserved.
Mineral elements;Combining ability;Rice;Correlation analysis;Heterosis
Understanding the genetic control of mineral element contents in the last three leaves of hybrid rice will shed light on breeding hybrid rice with ideal mineral element contents. In this study, 25 hybrid rice combinations were created using five elite male sterile lines and five restorer lines. The combining ability of potassium (K), calcium (Ca), iron (Fe), copper (Cu), magnesium (Mg), manganese (Mn), phosphorus (P), sulfur (S) and zinc (Zn) in the last three leaves of these crosses were analyzed at both active tillering stage and milky stage. The results showed that the variance of the general combining ability (GCA) of these parents was larger than the variance of the specific combining ability (SCA) of all crosses. Moreover, larger variation range of heterosis was found in the lines crossed from the parents with the larger variance of SCA. The restorer lines exhibited stronger heritability than sterile lines for Ca, Cu, Mn, S, Zn at active tillering stage and for K, Ca, S, Zn at milky stage. The further phenotypic evaluation for tested crosses revealed that the content of some mineral elements in the last three leaves showed positively significant correlation with yield-related traits. Selecting parents with higher GCA and larger variance of SCA will help us develop the hybrid combination with ideal content of mineral elements and good yield performance for the future hybrid rice breeding program. (C) 2018 Friends Science Publishers
Assessment of the risk of chemicals is an important task in the environmental protection. In this paper, we developed quantitative structure-activity relationship (QSAR) methods to evaluate the toxicity of phenol to Photobacterium phosphoreum, which is an important indicator for water quality. We first built support vector regression (SVR) model using three descriptors, and the SVR model (t = 2) had the highest external prediction ability (MSEext = 0.068, Q(ext)(2) = 0.682), about 40% higher than literature model's. Second, to identify more effective descriptors, we applied in-house methods to select descriptors with clear meanings from 2835 descriptors calculated by the PCLIENT and used them to construct the SVR models. Our results showed that our twenty new QSAR models significantly increased the standard regression coefficient on test set (MSEext values ranged from 0.003 to 0.063 and Q(ext)(2) values ranged from 0.708 to 0.985). The Y random response permutation test and different splits of training/test datasets also supported the excellent predictive power of the best SVR model. We further evaluated the regression significance of our SVR model and the importance of each single descriptor of the model according to the interpretability analysis. Our work provided useful theoretical understanding of the toxicity of phenol analogues. (C) 2015 Published by Elsevier B.V.