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1.
Rapid mapping of candidate genes for cold tolerance in
Oryza rufipogon
Griff. by QTL-seq of seedlings
LUO Xiang-dong, LIU Jian, ZHAO Jun, DAI Liang-fang, CHEN Ya-ling, ZHANG Ling, ZHANG Fan-tao, HU Biao-lin, XIE Jian-kun
Journal of Integrative Agriculture 2018, 17 (
2
): 265-275. DOI:
10.1016/S2095-3119(17)61712-X
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807
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Cold stress is a major problem in rice production. To rapidly identify genes for cold tolerance in Dongxiang wild rice (DWR,
Oryza rufipogon
Griff.), sequencing-based bulked segregant analysis of QTL-seq method was used to resequence the extremely resistant (R) and susceptible (S) bulks of a backcross inbred lines (BILs) population (derived from
Oryza sativa
×
O. rufipogon
) and their parents. Single nucleotide polymorphisms (SNP)-index graphs and corresponding Δ(SNP-index) graphs (at 99 and 95% confidence levels) for R- and S-bulks detected a total of 2 609 candidate SNPs, including 58 candidate cold-tolerance genes. Quantitative real-time PCR analysis revealed that 5 out of the 58 candidate genes had significant differences in expression between
O. sativa
and
O. rufipogon
. Structural variation and functional annotations of the 5 candidate genes were also analyzed, and allowed us to identify 2 insertion-deletion (InDel) markers (12-7 and 12-16) that were linked with candidate genes on chromosome 12 in DWR. These results are helpful for cloning and using cold tolerance genes from common wild rice in cultivated rice.
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2.
Linkage map construction and QTL mapping for cold tolerance in
Oryza rufipogon
Griff. at early seedling stage
LUO Xiang-dong, ZHAO Jun, DAI Liang-fang, ZHANG Fan-tao, ZHOU Yi, WAN Yong, XIE Jian-kun
Journal of Integrative Agriculture 2016, 15 (
12
): 2703-2711. DOI:
10.1016/S2095-3119(16)61465-X
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Cold stress is one of the major restraints for rice production. Cold tolerance is controlled by complex genetic factor. In this study, a backcross inbred lines (BILs) population derived from an inter-specific cross (
Oryza sativa
L.×
O. rufipogon
Griff.) was used for genetic linkage map construction and quantitative trait locus (QTL) mapping. A linkage map consisting of 153 markers was constructed, spanning 1 596.8 cM with an average distance of 11.32 cM between the adjacent markers. Phenotypic evaluation of the parents and BILs under (6±1)°C cold stress revealed that the ability of cold tolerance in BILs at early seedling obeyed a skewed normal and continuous distribution. Fifteen QTLs on chromosomes 6, 7, 8, 11, and 12 were identified using survival percent (SP) and non death percent (NDP) as indicators of cold tolerance, which could explain 5.99 to 40.07% of the phenotypic variance, of which the LOD values ranged from 3.04 to 11.32. Four QTLs on chromosomes 3, 5 and 7 were detected using leaf conductivity (LC) and root conductivity (RC) as indicators of cold tolerance, ranging from 19.54 to 33.53% for the phenotypic variance explained and 2.54 to 6.12 for the LOD values. These results suggested that there might be multi major QTLs in
O. rufipogon
and some useful genes for cold tolerance have been transferred into cultivated rice, which would be helpful for cloning and utilizing the cold tolerance-responsive genes from wild rice.
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3.
Genetic Diversity and Genetic Changes in the Introgression Lines Derived from Oryza sativa L. Mating with O. rufipogon Griff.
DENG Xiao-juan, DAI Liang-fang, HU Biao-lin, XIE Jian-kun
Journal of Integrative Agriculture 2012, 12 (
7
): 1059-1066. DOI:
10.1016/S1671-2927(00)8630
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The objectives of the present study were to estimate genetic diversity and genetic changes of introgression lines (ILs) which derived from cultivated rice (Oryza sativa L. cv. Xieqingzao B, XB) mating with common wild rice (O. rufipogon Griff., CWR). The genetic data of 239 ILs were based on a total of 131 polymorphic microsatellite (SSR) markers distributed across the 12 chromosomes of rice. On average, these ILs possessed 77.1 and 14.31% homozygous bands from XB and CWR, respectively. Most of the ILs were clustered together with XB individual, which was revealed by principal coordinate analysis (PCA) and the program STRUCTURE analysis. The result from PCA demonstrated that some intermediate genotypes between XB and CWR were also found. Moreover, there were some genomic sequence changes including parental bands elimination and novel bands emergence in the ILs. The average Nei’s gene diversity (He) was 0.296, which was higher than that of cultivated rice. It suggested that interspecific hybridization and gene introgression could broaden the base of genetic variation and lay an important foundation for rice genetic improvement. These different genotypic ILs would provide a better experimental system for understanding the evolution of rice species and the mechanism of alien gene introgression.
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4.
Genetic Analysis on Characteristics to Measure Drought Resistance Using Dongxiang Wild Rice (Oryza rufupogon Griff.) and Its Derived Backcross Inbred Lines Population at Seedling Stage
HU Biao-lin, FU Xue-qin, ZHANG Tao, WAN Yong, LI Xia, HUANG Yun-hong, DAI Liang-fang, LUO Xiang-dong , XIE Jian-kun
Journal of Integrative Agriculture 2011, 10 (
11
): 1653-1664. DOI:
10.1016/S1671-2927(11)60164-8
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Drought stress is one of the major constraints to rice (Oryza sativa L.) production and yield stability especially in rainfed ecosystems and is getting worse as the climate changes worldwide. Dongxiang wild rice (DXWR) Oryza rufipogon Griff., contains drought resistant gene. Improving drought resistance of cultivars is crucial to increase and stabilize rice grain yield via transferring resistant gene from species related to rice. In this paper, four upland rice, sixty backcross inbred lines (BILs) derived from BC1F5 of R974//DXWR/R974, and their parents were employed to evaluate drought-resistance at seedling stage in the greenhouse. Nine traits were recorded for assessment of drought resistance, including maximum root length (MRL), number of roots (NR), shoot length (SL), dry root weight (DRW), fresh root weight (FRW), root relative water content (RRWC), leaf relative water content (LRWC), level for rolling leaf (LRL), and seedling survivability under repeat drought (SSRD). Using more than 88% of accumulative contribution resulted from the principal component analysis (PCA), the nine traits were classified into five independent principal components and the line 1949 showed the highest resistance. Analysis on the stepwise regression equation and correlation demonstrated that MRL, RN, FRW, and RRWC significantly influenced the drought resistance, thus could be used as comprehensive index for drought resistance at the seedling stage. Using the major gene plus polygene mixed inheritance model of quantitative traits, the inheritance of drought-resistance of BIL population at seedling stage was mostly controlled by two independent genes plus polygene. As a result, the DXWR could be precious resources for genetic improvement of drought resistance in cultivated rice.
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