Diallel analysis of heading date in rice (Oryza sativa L.)

Summary The genetics of heading date was investigated in an 8×8 diallel set of crosses involving diverse rice cultivars. Wr, Vr graph analysis revealed the presence of a complementary type of non-allelic interaction which apparently affected the position and slope of the regression line such as if there were overdominance. Omission of two interacting parents resulted in a 6×6 subset of diallel crosses from which, as observed in the Wr, Vr graph, the non-allelic interaction had disappeared and the regression line exhibited partial dominance. Estimates of the genetic components of variation were in close conformity with the results obtained from the Wr, Vr graph: the average degree of dominance, as measured by (H₁/D)^1/2, was in overdominance range in the interacting 8×8 set of diallel crosses whereas it was reduced to partial dominance in the non-interacting 6×6 set of crosses. Further analysis by a standardized deviations graph indicated that earliness was controlled, on the average, by an excess of dominant alleles.     

Clustered QTL for source leaf size and yield traits in rice (Oryza sativa L.)

Improvement of plant type plays an important role in super-high yield breeding in rice (Oryza sativa L.). In the present study, a set of backcross recombinant inbred lines derived from a cross of 9311 and Zhenshan97, both elite indica hybrid parents, were developed to identify quantitative trait loci (QTL) for flag leaf size, panicle and yield traits. Forty-seven QTL for 14 traits were detected in common in the two environmental trials, of which nine genomic regions contained clustered QTL affecting plant type traits and yield traits. Four co-localized QTL on chromosomes 1, 6, 7 and 8 involving QTL for flag leaf size (flag leaf length, width and area) contained the QTL for yield traits such as panicle weight (PW) and secondary branch number (SBN), and in all cases alleles from 9311 increased source leaf size and were associated with increased sink size and yield (SBN and PW). Using a subset of overlapping substitution lines for the QTL region on chromosome 1, the QTL were validated and narrowed into a 990?kbp interval (RM3746?CRM10435) with pleiotropic effects on flag leaf size, PW, SBN and spikelet number per panicle. These QTL clusters with large effects on source leaf size and yield-related traits provide good targets for marker-assisted breeding for plant type improvement and high-yield potential in rice.     

Association mapping for yield and grain quality traits in rice (Oryza sativa L.)

Association analysis was applied to a panel of accessions of Embrapa Rice Core Collection (ERiCC) with 86 SSR and field data from two experiments. A clear subdivision between lowland and upland accessions was apparent, thereby indicating the presence of population structure. Thirty-two accessions with admixed ancestry were identified through structure analysis, these being discarded from association analysis, thus leaving 210 accessions subdivided into two panels. The association of yield and grain-quality traits with SSR was undertaken with a mixed linear model, with markers and subpopulation as fixed factors, and kinship matrix as a random factor. Eight markers from the two appraised panels showed significant association with four different traits, although only one (RM190) maintained the marker-trait association across years and cultivation. The significant association detected between amylose content and RM190 was in agreement with previous QTL analyses in the literature. Herein, the feasibility of undertaking association analysis in conjunction with germplasm characterization was demonstrated, even when considering low marker density. The high linkage disequilibrium expected in rice lines and cultivars facilitates the detection of marker-trait associations for implementing marker assisted selection, and the mining of alleles related to important traits in germplasm.     

Fine mapping of the grain chalkiness QTL qPGWC-7 in rice (Oryza sativa L.)

Chalkiness of rice grain is an important quality component of rice, as it has a profound influence on eating and milling qualities. We has determined the inheritance of percentage of grain with chalkiness (PGWC) using a set of chromosome segment substitution lines, made from a cross between cv. PA64s and cv. 9311. Two loci controlling PGWC, designated as qPGWC-6 and qPGWC-7, were located on, respectively, chromosomes 6 and 7. Comparisons were made between C-51 (a CSSL harbouring qPGWC-7 and having a chalky endosperm) and the recurrent parent 9311 (translucent endosperm) to characterize the physical and chemical differences between translucent and chalky endosperm. Unlike the translucent endosperm, the chalky endosperm contains loosely packed starch granules, and there were significant difference between C-51 and 9311 for amylopectin structure and degree of crystallinity, but not for either amylose content or starch viscosity. Segregation analysis of the F₂ population from the cross between C-51 and 9311 showed PGWC is a semi-dominant trait, controlled by single nuclear gene. A large F₂ population was constructed from the cross C51 × 9311, and used for the fine mapping of qPGWC-7, which was located to a 44-kb DNA fragment, containing thirteen predicted genes. This result provides a springboard for the map-based cloning of qPGWC-7 and allowed for marker-assisted selection for endosperm texture.     

Fine mapping of pss1, a pollen semi-sterile gene in rice (Oryza sativa L.)

During routine seed increase procedures in rice, semi-sterile plants are common; however, such semi-sterility mutants in rice varieties have been only rarely analyzed genetically. W207-2 is a semi-sterile selection from the japonica rice variety Nipponbare. In this report, we found the female gamete of W207-2 was normal, and its semi-sterility was unaffected by growth duration but was conditioned by a recessive nuclear gene whose action leads to pollen semi-sterility and anther indehiscence, and the gene was named as pss1 (pollen semi-sterile). Using an F₂ population derived from the two parents W207-2 and Dular and a pooled DNA strategy, pss1 was mapped to an interval on chromosome 8 defined by the two SSR loci RM6356 and RS41. The position of pss1 was confirmed in another F₂ population derived from the cross W207-2 × Nipponbare. Over 2,000 homozygous pss1 segregants from the large W207-2 × Dular F₂ population were used to fine map pss1 to a 0.04 cM segment flanked by a CAPs marker L2 and a dCAPs L3 marker. Sequences for both markers are present on a single PAC clone, and the physical distance between them is about 28 kb. Analysis of the PAC sequence predicts the presence of five open reading frames, they are as follows: putative ribonuclease PH, putative avr9 elicitor response protein, kinesin1-like protein, putative protein RNP-D precursor and putative 40S ribosomal protein S13. This result would be helpful in cloning the pss1 gene.     

QTL mapping for the paste viscosity characteristics in rice (Oryza sativa L.)

In order to understand the genetic basis of the paste viscosity characteristics (RVA profile, which is tested on the Rapid Visco Analyser) of the rice grain, we mapped QTLs for RVA profile parameters using a DH population derived from a cross between an indica variety, Zai-Ye-Qing 8 (ZYQ8), and a japonica variety, Jing-Xi 17 (JX17). Evidence of genotype-by-environment interaction was found by comparing the mapped QTLs between two locations, Hainan (HN) and Hangzhou (HZ). A total of 20 QTLs for six parameters of the RVA profiles were identified at least one location. Only the waxy locus (wx) located on chromosome 6 was detected significantly at both environments for five traits, i.e. hot paste viscosity (HPV), cool paste viscosity (CPV), breakdown viscosity (BDV), consistency viscosity (CSV) and setback viscosity (SBV). This locus explained 19.5%–63.7% of the total variations at both environments, suggesting that the RVA profiles were mainly controlled by the wx gene. HPV, CPV, BDV, CSV and SBV were also controlled by other QTLs whose effects on the respective parameter were detected only in one environment, while for the peak viscosity (PKV), only 2 QTLs, 1 at HN,the other at HZ, were identified. These results indicate that RVA profiles are obviously affected by environment. Received: 18 July 1999 / Accepted: 27 August 1999     

QTL analyses of heterosis for grain yield and yield-related traits in indica-japonica crosses of rice (Oryza sativa L.)

Two sets of rice materials, 166 RILs derived from a cross between Milyang 23 (Korean indica-type rice) and Tong 88-7 (japonica Rice), and BC₁F₁ hybrids derived from crosses between the RILs and the female parent, Milyang 23, were produced to identify QTLs for heterosis of yield and yield-related traits. The QTLs were detected from three different phenotype data sets including the RILs, BC1F1 hybrids, and mid-parental heterosis data set acquired from the definition of mid-parental heterosis. A total of 57 QTLs were identified for nine traits. Of eight QTLs detected for yield heterosis, five overlapped with other heterosis QTLs for yield-related traits such as spikelet number per panicle, days to heading, and spikelet fertility. Four QTLs for yield heterosis, gy1.1, py6, gy10, and py11, were newly identified in this study. We identified a total of 17 EpQTLs for yield heterosis that explain 21.4 ?? 59.0 % of total phenotypic variation, indicating that epistatic interactions may play an important role in heterosis.     

上位性和QTL×环境互作对水稻(Oryza sativa L.)抽穗期的影响

水稻抽穗期是重要的农艺性状之一,对水稻品种的地理分布和适应性起到关键性作用。适宜的抽穗期是获得高产的前提。因此确定水稻抽穗期的遗传基础在育种计划中具有重要的意义。本研究用一套来源于亲本IR64/Azucena的双单倍体（DH）群体在两个种植季节的试验资料,用基于混合线性模型的复合区间作图方法,对水稻抽穗期QTL的加性、上位性及其与环境互作效应进行了研究。结果表明共有14个QTL影响水稻抽穗期,它们分布在除第5和第9条染色体外的10条染色体上,有8个位点携带单位点效应,5对位点携带双位点互作效应,2个单位点和1对双位点存在与环境的互作,所有效应值介于1.179～2.549天之间,相应的贡献率为1.04%～4.84%。基于所估算的QTL效应值,本研究预测了两个亲本和两个极端型品系的遗传效应值,并讨论了影响遗传效应值与实际观测值偏差的可能原因,以及研究群体所具有的遗传潜力。对水稻抽穗期QTL的定位结果与前人研究基本一致,并进一步证实了上位性和QE互作效应是水稻抽穗期的重要遗传基础。     

基于CSSL的水稻穗颈长度QTL的代换作图

水稻穗颈长度是影响杂交水稻制种产量提高的重要农艺性状之一。文章利用94个以籼稻品种9311为遗传背景、粳稻品种日本晴为染色体片段供体的覆盖全基因组的染色体片段置换系(Chromosome segment substi-tution lines, CSSL)为材料, 调查和分析CSSL群体及双亲的穗颈长度。结果表明: 在17个置换系中检测到8个控制水稻穗颈长度的数量性状位点(Quantitative trait loci, QTL), 分别位于第2、3、7、8、9和第11染色体; 利用代换作图法, 定位了其中的7个穗颈长度QTL; 其加性效应值介于0.10~3.20之间, 其中qPE-9和qPE-11的加性效应值较大, 平均效应值分别为3.15和2.95, 表现为主效基因特征; qPE-2-2、qPE-3-1、qPE-3-2、qPE-7和qPE-8等5个QTL被定位在小于10.0 cM的区段内。利用CSSL可以有效地鉴定水稻穗颈长度QTL, 这些QTL为分子标记辅助选育穗颈长度适中的水稻品系及其进一步的精细定位奠定了基础。     

Fine mapping of a gene for low-tiller number, Ltn, in japonica rice (Oryza sativa L.) variety Aikawa 1

Tillering is one of the most important agronomic traits related to grain production in rice (Oryza sativa L.). A japonica-type variety, Aikawa 1, is known to have low-tiller number. The detailed location of a low-tillering gene, Ltn, which has been localized on chromosome 8 in Aikawa 1, was confirmed by molecular mapping. Using BC₅F₂ individuals derived from a cross between IR64 and Aikawa 1, the low-tillering gene was mapped to an interval defined by SSR markers ssr5816-3 and A4765. This was designated as Ltn because there was no reported gene for tillering in the region of chromosome 8. Through high-resolution linkage analysis, the candidate region of Ltn was located between DNA markers ssr6049-23 and ind6049-1 corresponding to 38.6 kbp on the Nipponbare genome sequence. These DNA markers, which were tightly linked to Ltn, are useful for marker-assisted selection in breeding studies.     

RFLP mapping of QTLs for yield and related characters in rice (Oryza sativa L.)

Quantitative triat loci (QTLs) for yield and related traits in rice were mapped based on RFLP maps from two indica/indica F₂ populations, Tesanai 2/CB and Waiyin 2/CB. In Tesanai 2/CB, 14 intervals carrying QTLs for eight traits were detected, including 3 for grain weight per plant (GWT), 2 for number of panicles per plant (NP), 2 for number of grains per panicle (NG), 1 for total number of spikelets per panicle (TNS), 1 for spikelet fertility (SF), 3 for 1000-grain weight (TGWT), 1 for spikelet density (SD), and 1 for number of first branches per main panicle. The 3 QTLs for GWT were located on chromosomes 1, 2, and 4, with 1 in each chromosome. The additive effect of the single locus ranged from 2.0 g to 9.1 g. A major gene (np4) for NP was detected on chromosome 4 within the interval of RG143–RG214, about 4cM for RG143, and this locus explained 26.1% of the observed phenotypic variance for NP. The paternal allele of this locus was responsible for reduced panicles per plant (3 panicles per plant). In another population, Waiyin 2/CB, 12 intervals containing QTLs for six of the above-mentioned traits were detected, including 3 for GWT, 2 for each of NP, TNS, TGWT and SD, 1 for SF. Three QTLs for GWT were located on chromosome 1, 4, and 5, respectively. The additive effect of the single locus for GWT ranged from 6.7 g to 8.8 g, while the dominance effect was 1.7–11.5 g. QTL mapping in two populations with a common male parent is compared and discussed.     

Genetic analysis and QTL mapping for grain chalkiness characteristics of brown rice (Oryza sativa L.)

Grain chalkiness is one of the important appearance qualities in rice marketing. But it is a complex trait, controlled by polygenes and easily influenced by the environment. Genetic analysis and QTL detection was carried out on six characteristics of grain chalkiness consisting of the percentage of chalkiness (PGC), white belly (PWB) and white core grains (PWC), and the area of chalkiness (CA), white belly (WBA) and white core (WCA) in brown rice. A total of 16 main-effect QTLs associated with chalkiness characteristics of brown rice were mapped on seven chromosomes over two years. Among them,qPGC7.1 andqPWB7.2 were simultaneously located on chromosome 7 flanked by 7038 and 7042 at LOD scores 4.34 and 3.76, whileqPWC2.1 andqWCA2.1 were simultaneously located on chromosome 2 flanked by RM492 and RM324 with LOD scores of 2.50 and 3.39. Twelve epistatic combinations were detected for five chalkiness characteristics except for CA. Results indicated that WBA was mainly influenced by the additive effects of main-effect QTLs. PGC and PWC were affected by the effects of epistatic QTLs and the interactions between additive-by-additive effects and the environment. The effects of epistatic QTLs and the main-effect QTLs played important roles on CA, PWB and WCA. For the genetic improvement of grain chalkiness in breeding system, more attention should be paid to epistatic effects and the additive effects of main-effect QTLs.     

QTL mapping of grain length in rice (Oryza sativa L.) using chromosome segment substitution lines

Chromosome segment substitution (CSS) lines have the potential for use in QTL fine mapping and map-based cloning. The standard t-test used in the idealized case that each CSS line has a single segment from the donor parent is not suitable for non-idealized CSS lines carrying several substituted segments from the donor parent. In this study, we present a likelihood ratio test based on stepwise regression (RSTEP-LRT) that can be used for QTL mapping in a population consisting of non-idealized CSS lines. Stepwise regression is used to select the most important segments for the trait of interest, and the likelihood ratio test is used to calculate the LOD score of each chromosome segment. This method is statistically equivalent to the standard t-test with idealized CSS lines. To further improve the power of QTL mapping, a method is proposed to decrease multicollinearity among markers (or chromosome segments). QTL mapping with an example CSS population in rice consisting of 65 non-idealized CSS lines and 82 chromosome segments indicated that a total of 18 segments on eight of the 12 rice chromosomes harboured QTLs affecting grain length under the LOD threshold of 2.5. Three major stable QTLs were detected in all eight environments. Some minor QTLs were not detected in all environments, but they could increase or decrease the grain length constantly. These minor genes are also useful in marker-assisted gene pyramiding.     

Fine mapping of a gene for non-pollen type thermosensitive genic male sterility in rice (Oryza sativa L.)

The thermo-sensitive genic male sterility (TGMS) lines play a crucial role in two-line hybrid rice production. For a practical TGMS line, the stability of male sterility is one of the most important technical indicators. In this study, XianS, a spontaneous mutant with stable male sterility from an indica rice cultivar Xianhuangzhan, was classified as a non-pollen type TGMS line. The critical non-pollen sterility point temperature of XianS was determined as 27°C. Genetic analysis demonstrated that the non-pollen sterility in XianS was controlled by a single recessive gene. Using SSR markers and bulked segregant analysis, the TGMS gene in XianS was fine mapped to a 183 kb interval between RMAN81 and RMX21 on chromosome 2. Two markers, 4039-1 and RMX14 completely cosegregated with this gene. Allelism test indicated that the non-pollen phenotype in seven non-pollen type TGMS lines from different sources, XianS, AnnongS-1, Q523S, Q524S, N28S, G421S, and Q527S is caused by the same TGMS gene. Although the location of TGMS gene in XianS is close to the gene OsNAC6, a previously identified candidate gene of tms5 in AnnongS-1, the sequence of OsNAC6 and its promoter region was identical in TGMS line XianS, AnnongS-1, and wild-type Xianhuangzhan. These results suggest that the non-pollen type TGMS trait probably be controlled by the same TGMS gene in different TGMS rice lines, but its real candidate gene still need to be further studied and identified.     

Identification of quantitative trait loci (QTLs) for heading date and plant height in cultivated rice (Oryza sativa L.)

Lemont and Teqing are both semidwarf rice varieties that differ in heading date by only 6 days. However, when Lemont and Teqing are crossed there is transgressive segregation for both heading date (HD) and plant height (PH). By testing 2418 F₄ lines with 113 well-distributed RFLP markers, we identified and mapped chromosomal regions that were largely responsible for this transgressive segregation. QHd3a, a QTL from Lemont that gives 8 days earlier heading, was identified on chromosome 3 approximately 3 cM from the marker RG348. Another QTL with a large effect, QHd8a, which gives 7 days earlier heading, was identified on chromosome 8 of Teqing between RG20 and RG1034. Along with a QTL, QHd9a with a phenotypic effect of 3.5 days, these genomic regions collectively explain 76.5% of the observed phenotypic variance in heading date. Four QTLs which altered plant height from 4 to 7 cm were also mapped; these collectively explain 48.8% of the observed phenotypic variation in plant height. None of the QTLs for plant height mapped to chromosome 1, the location of the semidwarf gene sd-1. All three of the HD loci mapped to approximately the same genomic locations as PH QTLs, and in all cases, there was a reduction in height of approximately 1 cm for every day of earlier heading. The correspondence between the HD and some of the PH loci suggests that genes at these chromosome locations may have pleiotropic effects on both HD and PH. The observed heterosis in the F₁ plants for HD can be largely explained by the dominance for earliness of the identified HD loci and distribution of earlier heading alleles in the parents. However, overdominance observed at one of the PH QTL may, at least in part, be responsible for the observed heterosis in PH.     

Genetic behavior of earliness and yield traits of some rice (Oryza sativa L.) genotypes

Rice (Oryza sativa L.) is a critical staple food crop that provides more than half of the world's population with its primary nutritional source. Breeders and growers of rice would profit from robust genotypes with improved morphological and yield-related characteristics. The aim of this work is to determine the nature and magnitude of gene action on yield quantity and quality, to define the best combinations of earliness and yield characters, develop hybrids that perform better on yield quantity and quality. Three replications were used in the experiment's randomized complete block design (RCBD). During the 2016 season, seven different parents, namely Sakha 101, Sakha 104, Sakha 105, Giza 177, Black rice 1, Black rice 2, and Black rice 3, were crossed using A 7 × 7 half-diallel set analysis without reciprocals to generate 21 F1 crosses. The results indicated that genotype-dependent mean squares were very significant for main characteristics. Significant combining ability SCA variance estimates were more considerable than general combining ability (GCA) variance for all characters except days to 50% flowering. It demonstrated that both additive and non-additive genetic variance played a role in expressing the attributes investigated. The Parents, Black rice, Sakha 105, and Sakha 101, were recognized as the best general combiner for most growth and yield attributes. Sakha105 × Black Rice 1, Sakha105 × Black Rice 2, Sakha101 × Sakha104, Sakha105 × Giza 177, and Sakha101 × Giza 177 all demonstrated non-additive gene activity for the majority of maturity and yield traits. Heterosis breeding would be most efficient for qualities where high performance was determined by dominance and dominance gene effects. The increased yield of crosses results from parents with a diverse genetic background and genetic diversity.     

Fine mapping of grain length QTLs on chromosomes 1 and 7 in Basmati rice (Oryza sativa L.)

Grain dimensions (length, breadth and length/breadth ratio) are important quality attributes of Basmati rice for its high consumer acceptance. Earlier we identified two significant quantitative trait loci (QTL) intervals on chromosomes 1 and 7 for grain dimensions in Basmati rice using a population of recombinant inbred lines (RILs) from cross between Basmati variety Pusa 1121 and a short grain non-aromatic variety Pusa 1342. For fine mapping of these QTLs, 184 F₆ RILs were grown and phenotyped in the normal rice growing season at two different locations. Forty-nine new SSR markers targeting these QTL intervals were tested and nine were found polymorphic between the parents. Using revised genetic maps adding new markers, the grain length QTL qGRL1.1 on chromosome 1 was narrowed down to 108?kbp from the earlier reported 6,133?kbp. There were total 13 predicted gene models in this interval which includes the probable candidate gene for the exceptionally high grain length of Basmati variety Pusa 1121. Similarly, two tandem QTL intervals qGRL7.1 and qGRL7.2 on chromosome 7 were merged into a single one narrowed down to 2,390?kbp from the earlier reported length of 5,269?kbp. This region of chromosome 7 also has co-localized QTLs for grain breadth and length to breadth ratio. SSR markers tightly linked to the QTL at a map distance of ??0.2?cM were developed for the qGRL1.1 and qGRL7.1 loci that could be used for marker-assisted breeding. Validation of earlier published markers for the grain length gene GS3 on chromosome 3 showed no difference between Pusa 1121 and Pusa 1342, highlighting the significance of qGRL1.1 and qGRL7.1 for the extra grain length of Basmati variety Pusa 1121.     

Mapping of QTLs conferring extremely early heading in rice (Oryza sativa L.)

Two genes related to extremely early heading were identified in populations derived from crosses between Hoshinoyume, a variety adapted to the northernmost limit of rice cultivation (Hokkaido), and Nipponbare, a variety adapted to the temperate region of Japan. The segregations for heading date clearly revealed that a two-gene model determined the extremely early heading in the F₂ and BC₁F₁ populations under natural field conditions in Hokkaido. Using molecular markers corresponding to ten known quantitative trait loci (QTLs) for heading date, we carried out QTL analysis in the BC₁F₁ population and detected two QTLs, qDTH-7-1 and qDTH-7-2, both on chromosome 7, and observed epistatic interaction between them. We conclude that the recessive alleles of these two genes contribute to extremely early heading for the adaptation to Hokkaido environment and to stable rice production in Hokkaido. The relationships between the two QTLs identified in this study and known QTLs are discussed.     

Characterization and genetic mapping of a Photoperiod-sensitive dwarf 1 locus in rice (Oryza sativa L.)

Plant height is an important agronomic trait for crop architecture and yield. Most known factors determining plant height function in gibberellin or brassinosteroid biosynthesis or signal transduction. Here, we report a japonica rice (Oryza sativa ssp. japonica) dominant dwarf mutant, Photoperiod-sensitive dwarf 1 (Psd1). The Psd1 mutant showed impaired cell division and elongation, and a severe dwarf phenotype under long-day conditions, but nearly normal growth in short-day. The plant height of Psd1 mutant could not be rescued by gibberellin or brassinosteroid treatment. Genetic analysis with R₁ and F₂ populations determined that Psd1 phenotype was controlled by a single dominant locus. Linkage analysis with 101 tall F₂ plants grown in a long-day season, which were derived from a cross between Psd1 and an indica cultivar, located Psd1 locus on chromosome 1. Further fine-mapping with 1017 tall F₂ plants determined this locus on an 11.5-kb region. Sequencing analysis of this region detected a mutation site in a gene encoding a putative lipid transfer protein; the mutation produces a truncated C-terminus of the protein. This study establishes the genetic foundation for understanding the molecular mechanisms regulating plant cell division and elongation mediated by interaction between genetic and environmental factors.