Rice TOGO Browser: A platform to retrieve integrated information on rice functional and applied genomics

The Rice TOGO Browser is an online public resource designed to facilitate integration and visualization of mapping data of bacterial artificial chromosome (BAC)/P1-derived artificial chromosome (PAC) clones, genes, restriction fragment length polymorphism (RFLP)/simple sequence repeat (SSR) markers and phenotype data represented as quantitative trait loci (QTLs) onto the genome sequence, and to provide a platform for more efficient utilization of genome information from the point of view of applied genomics as well as functional genomics. Three search options, namely keyword search, region search and trait search, generate various types of data in a user-friendly interface with three distinct viewers, a chromosome viewer, an integrated map viewer and a sequence viewer, thereby providing the opportunity to view the position of genes and/or QTLs at the chromosomal level and to retrieve any sequence information in a user-defined genome region. Furthermore, the gene list, marker list and genome sequence in a specified region delineated by RFLP/SSR markers and any sequences designed as primers can be viewed and downloaded to support forward genetics approaches. An additional feature of this database is the graphical viewer for BLAST search to reveal information not only for regions with significant sequence similarity but also for regions adjacent to those with similarity but with no hits between sequences. An easy to use and intuitive user interface can help a wide range of users in retrieving integrated mapping information including agronomically important traits on the rice genome sequence. The database can be accessed at http://agri-trait.dna.affrc.go.jp/.     

Chromosomal assignment of RFLP linkage groups harboring important QTLs on an intraspecific cotton (Gossypium hirsutum L.) Joinmap

Chromosome identities were assigned to 15 linkage groups of the RFLP joinmap developed from four intraspecific cotton (Gossypium hirsutum L.) populations with different genetic backgrounds (Acala, Delta, and Texas Plains). The linkage groups were assigned to chromosomes by deficiency analysis of probes in the previously published joinmap, based on genomic DNA from hypoaneuploid chromosome substitution lines. These findings were integrated with QTL identification for multiple fiber and yield traits. Overall results revealed the presence of 63 QTLs on five different chromosomes of the A subgenome (chromosomes-03, -07, -09, -10, and -12) and 29 QTLs on the three different D subgenome (chromosomes-14 Lo, -20, and the long arm of -26). Linkage group-1 (chromosome-03) harbored 26 QTLs, covering 117 cM with 54 RFLP loci. Linkage group-2, (the long arm of chromosome-26) harbored 19 QTLs, covering 77.6 cM with 27 RFLP loci. Approximately 49% of the putative 92 QTLs for agronomic and fiber quality traits were placed on the above two major joinmap linkage groups, which correspond to just two different chromosomes, indicating that cotton chromosomes may have islands of high and low meiotic recombination like some other eukaryotic organisms. In addition, it reveals highly recombined and putative gene abundant regions in the cotton genome. QTLs for fiber quality traits in certain regions are located between two RFLP markers with an average of less than one cM (approximately 0.4-0.6 Mb) and possibly represent targets for map-based cloning. Identification of chromosomal location of RFLP markers common to different intra- and interspecific-populations will facilitate development of portable framework markers, as well as genetic and physical mapping of the cotton genome.     

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci

Statistical methods established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait locus (QTL) analysis can associate the expression of genes or groups of genes with particular genomic regions, and thereby identify regions regulating gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x 'AC Domain' was used to map expression level polymorphisms. This population had previously been mapped with microsatellites, and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis on mRNA from developing seed grown in two field locations was conducted on 39 of the 41 DH lines using the Affymetrix GeneChip Wheat Genome Array. Analysis of the hybridization intensity identified 1484 Affymetrix probe sets in the first location and 10,280 probe sets in the second location, where the hybridization intensity varied significantly between genotypes of the population. A common set of 1455 probe sets differing in intensity between genotypes in both locations was used for mapping, and 542 QTLs were identified that each mapped to a single chromosome interval, illustrating that major gene expression QTLs could be found in wheat. Genomic regions corresponding to multiple gene expression QTLs were identified. Comparison of expression mapping data with physical mapping of wheat expressed sequence tag (EST) sequences using rice synteny, as well as logarithm of odds (LOD) score analysis, showed that both cis- and trans-acting expression QTLs were present. Chromosomes 1D and 4B may contain significant trans-regulatory regions in this population.     

Genomic distribution of quantitative trait loci for yield and yield-related traits in common wheat

A major objective of quantitative trait locus(QTL)studies is to find genes/markers that can be used in breeding programs via marker assisted selection(MAS).We surveyed the QTLs for yield and yield related traits and their genomic distributions in common wheat(Triticum aestivum L.)in the available published reports.We then carried out a meta-QTL(MQTL)analysis to identify the major and consistent QTLs for these traits.In total,55 MQTLs were identified,of which 12 significant MQTLs were located on wheat chromosomes 1A,1B,2A,2D,3B,4A,4B,4D and 5A.Our study showed that the genetic control of yield and its components in common wheat involved the important genes such as Rht and Vrn.Furthermore,several significant MQTLs were found in the chromosomal regions corresponding to several rice genomic locations containing important QTLs for yield related traits.Our results demonstrate that meta-QTL analysis is a powerful tool for confirming the major and stable QTLs and refining their chromosomal positions in common wheat,which may be useful for improving the MAS efficiency of yield related traits.     

Genetic Dissection of Yield and Its Component Traits Using High-Density Composite Map of Wheat Chromosome 3A: Bridging Gaps between QTLs and Underlying Genes

Earlier we identified wheat (Triticum aestivum L.) chromosome 3A as a major determinant of grain yield and its component traits. In the present study, a high-density genetic linkage map of 81 chromosome 3A-specific markers was developed to increase the precision of previously identified yield component QTLs, and to map QTLs for biomass-related traits. Many of the previously identified QTLs for yield and its component traits were confirmed and were localized to narrower intervals. Four novel QTLs one each for shoot biomass (Xcfa2262-Xbcd366), total biomass (wPt2740-Xcfa2076), kernels/spike (KPS) (Xwmc664-Xbarc67), and Pseudocercosporella induced lodging (PsIL) were also detected. The major QTLs identified for grain yield (GY), KPS, grain volume weight (GVWT) and spikes per square meter (SPSM) respectively explained 23.2%, 24.2%, 20.5% and 20.2% of the phenotypic variation. Comparison of the genetic map with the integrated physical map allowed estimation of recombination frequency in the regions of interest and suggested that QTLs for grain yield detected in the marker intervals Xcdo549-Xbarc310 and Xpsp3047-Xbarc356 reside in the high-recombination regions, thus should be amenable to map-based cloning. On the other hand, QTLs for KPS and SPSM flanked by markers Xwmc664 and Xwmc489 mapped in the low-recombination region thus are not suitable for map-based cloning. Comparisons with the rice (Oryza sativa L.) genomic DNA sequence identified 11 candidate genes (CGs) for yield and yield related QTLs of which chromosomal location of two (CKX2 and GID2-like) was confirmed using wheat aneuploids. This study provides necessary information to perform high-resolution mapping for map-based cloning and for CG-based cloning of yield QTLs.     

Wheat cytogenetics in the genomics era and its relevance to breeding

Hexaploid wheat is a species that has been subjected to most extensive cytogenetic studies. This has contributed to understanding the mechanism of the evolution of polyploids involving diploidization through genetic restriction of chromosome pairing to only homologous chromosomes. The availability of a variety of aneuploids and the ph mutants (Ph1 and Ph2) in bread wheat also allowed chromosome manipulations leading to the development of alien addition/substitution lines and the introgression of alien chromosome segments into the wheat genome. More recently in the genomics era, molecular tools have been used extensively not only for the construction of molecular maps, but also for identification/isolation of genes/QTLs (including epistatic QTLs, eQTLs and PQLs) for several agronomic traits. It has also been possible to identify gene-rich regions and recombination hot spots in the wheat genome, which are now being subjected to sequencing at the genome level, through development of BAC libraries. In the EST database also, among all plants wheat ESTs are the highest in number, and are only next to those for human, mouse, Ciona intestinalis (a chordate), rat and zebrafish genomes. These ESTs and sequences of several genomic regions have been subjected to a variety of applications including development of perfect markers and establishment of microcollinearity. The technique of in situ hybridization (including FISH, GISH and McFISH) and the development of deletion stocks also facilitated the preparation of physical maps. Molecular markers are also used for marker-assisted selection in wheat breeding programs in several countries. Construction of a wheat DNA chip, which will also become available soon, may further facilitate wheat genomics research. These enormous resources, knowledge base and the fast development of additional molecular tools and high throughput approaches for genotyping will prove extremely useful in future wheat research and will lead to development of improved wheat cultivars.     

The use of microsatellite markers for the detection of genetic similarity among winter bread wheat lines for chromosome 3A

Previous studies with chromosome substitution and recombinant inbred chromosome lines identified that chromosome 3A of wheat cv. Wichita contains alleles that influence grain yield, yield components and agronomic performance traits relative to alleles on chromosome 3A of Cheyenne, a cultivar believed to be the founder parent of many Nebraska developed cultivars. This study was carried out to examine the genetic similarity among wheat cultivars based on the variation in chromosome 3A. Forty-eight cultivars, two promising lines and four substitution lines (in duplicate) were included in the study. Thirty-six chromosome 3A-specific and 12 group-3 barley simple sequence repeat (SSR) primer pairs were used. A total of 106 polymorphic bands were scored. Transferability of barley microsatellite markers to wheat was 73%. The coefficient of genetic distance (D) among the genotypes ranged from 0.40 to 0.91 and averaged D=0.66. Cluster analysis by the unweighted pair-group method with arithmetic averages showed one large and one small cluster with eight minor clusters in the large cluster. Several known pedigree relationships largely corresponded with the results of SSR clusters and principal coordinate analysis. Cluster analysis was also carried out by using 22 alleles that separate Wichita 3A from Cheyenne 3A, and three clusters were identified (a small cluster related to Cheyenne of mainly western Nebraska wheat cultivars; a larger, intermediate cluster with many modern Nebraska wheat cultivars; a large cluster related to Wichita with many modern high-yielding or Kansas wheat cultivars). Using three SSR markers that identify known agronomically important quantitative trait loci (QTL) regions, we again separated the cultivars into three main clusters that were related to Cheyenne or Wichita, or had a different 3A lineage. These results suggest that SSR markers linked to agronomically important QTLs are a valuable asset for estimating both genetic similarity for chromosome 3A and how the chromosome has been used in cultivar improvement.     

Analysis of QTLs for yield-related traits in Yuanjiang common wild rice （Oryza rufipogon Griff.）

Using an accession of common wild rice(Oryza rufipogon Griff.)collected from Yunnjiang County,Yunnan Province,China,as the donor and an elite cnltivar 93-11,widely used in two-line indica hybrid rice production in China,as the recurrent parent,an advanced backcross populations were developed.Through genotyping of 187 SSR markers and investigation of six yield-related traits of two generations(BC4F2 and BC4F4),a total of 26 QTLs were detected by employing single point analysis and interval mapping in both generations.Of the 26 QTLs,the alleles of 10(38.5%)QTLs originating from O.rufipogon had shown a beneficial effect for yield-related traits in the 93-11 genetic background.In addition,five QTLs controlling yield and its components were newly identified,indicating that there arc potentially novel alleles in Yuanjiang common wild rice.Three regions underling significant QTLs for several yield-related traits were detected on chromosome 1,7 and 12.The QTL clusters were founded and corresponding agronomic traits of those QTLs showed highly significant correlation,suggesting the pleiotropism or tight linkage.Fine-mapping and cloning of these yield-related QTLs from wild rice would be helpful to elucidating molecular mechanism of rice domestication and rice breeding in the future.     

An integrated genetic map and a new set of simple sequence repeat markers for pearl millet, <Emphasis Type="Italic">Pennisetum glaucum</Emphasis>

Over the past 10 years, resources have been established for the genetic analysis of pearl millet, Pennisetum glaucum (L.) R. Br., an important staple crop of the semi-arid regions of India and Africa. Among these resources are detailed genetic maps containing both homologous and heterologous restriction fragment length polymorphism (RFLP) markers, and simple sequence repeats (SSRs). Genetic maps produced in four different crosses have been integrated to develop a consensus map of 353 RFLP and 65 SSR markers. Some 85% of the markers are clustered and occupy less than a third of the total map length. This phenomenon is independent of the cross. Our data suggest that extreme localization of recombination toward the chromosome ends, resulting in gaps on the genetic map of 30 cM or more in the distal regions, is typical for pearl millet. The unequal distribution of recombination has consequences for the transfer of genes controlling important agronomic traits from donor to elite pearl millet germplasm. The paper also describes the generation of 44 SSR markers from a (CA)_n-enriched small-insert genomic library. Previously, pearl millet SSRs had been generated from BAC clones, and the relative merits of both methodologies are discussed.     

Development, utilization of introgression lines using a synthetic wheat as donor

A series of introgression lines (ILs) were generated from repeated backcrossing between the exotic hexaploid wheat genotype Am3 and the common wheat genotype Laizhou953. Am3 was synthesized by crossing Triticum carthlicum with Aegilops tauschii and was used as the donor parent in this study, and Laizhou953 was used as the recurrent parent. Two hundred and five SSR markers showing polymorphism between the two parents were used to identify the introgressed Am3 chromosome segments in 97 BC4F3 ILs. The introgressed segments in each line and the length of the introgressed segments were estimated according to the wheat SSR consensus map. The introgressed segments from Am3 in the 97 lines covers 37.7% of the donor genome. The introgressed segments were most found on 2D, 3B, 6B, and 1D with coverage of 59.8, 59.5, 59.1, and 59% of the chromosomes, respectively. None of the 97 lines tested contained chromosome 4D segments introgressed from Am3. Introgressed segments for each of the chromosomes were mapped using the consensus wheat linkage map. Nine agronomic traits from BC4F3 lines were evaluated and the phenotype showed most lines have the tendency to be more similar to the recurrent parent. There were lines showing better agronomic traits than the recurrent parent, which indicated the introgression of favorable alleles from the exotic hexaploid wheat into the elite cultivar Laizhou953. Marker and phenotype data were used to identify quantitative trait loci (QTLs) controlling these nine traits. In total, 38, 33, and 28 putative QTLs were detected for seven of the nine traits in 2003, 2004, and 2005, respectively. Some of these agronomic important QTLs were detected in more than one season. Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

The physical relationship of barley chromosome 5 (1H) to the linkage groups of rice chromosomes 5 and 10

 Using a recently developed polymerase chain reaction (PCR)-mediated approach for physical mapping of single-copy DNA sequences on microisolated chromosomes of barley, sequence-tagged sites of DNA probes that reveal restriction fragment length polymorphisms (RFLP) localized on the linkage maps of rice chromosomes 5 and 10 were allocated to cytologically defined regions of barley chromosome 5 (1H). The rice map of linkage group 5, of about 135 cM in size, falls into two separate parts, which are related to the distal portions of both the short and long arms of the barley chromosome. The markers on the rice map of chromosome 5 were found to be located within regions of the barley chromosome which show high recombination rates. The map of rice chromosome 10, of about 75 cM in size, on the other hand, is related to an interstitial segment of the long arm of chromosome 5 (1H) which is highly suppressed in recombination activity. For positional cloning of genes of this homoeologous region from the barley genome, the small rice genome will probably prove to be a useful tool. No markers located on rice chromosomes were detected within the pericentric Giemsa-positive heterochromatin of the barley chromosome, indicating that these barley-specific sequences form a block which separates the linkage segments conserved in rice. By our estimate approximately half of the barley-specific sequences of chromosome 5 (1H) show a dispersed distribution, while the other half separates the conserved linkage segments. Received: 29 February 1996 / Accepted: 28 June 1996     

Identification and physical localization of useful genes and markers to a major gene-rich region on wheat group 1S chromosomes

The short arm of Triticeae homeologous group 1 chromosomes is known to contain many agronomically important genes. The objectives of this study were to physically localize gene-containing regions of the group 1 short arm, enrich these regions with markers, and study the distribution of genes and recombination. We focused on the major gene-rich region ("1S0.8 region") and identified 75 useful genes along with 93 RFLP markers by comparing 35 different maps of Poaceae species. The RFLP markers were tested by gel blot DNA analysis of wheat group 1 nullisomic-tetrasomic lines, ditelosomic lines, and four single-break deletion lines for chromosome arm 1BS. Seventy-three of the 93 markers mapped to group 1 and detected 91 loci on chromosome 1B. Fifty-one of these markers mapped to two major gene-rich regions physically encompassing 14% of the short arm. Forty-one marker loci mapped to the 1S0.8 region and 10 to 1S0.5 region. Two cDNA markers mapped in the centromeric region and the remaining 24 loci were on the long arm. About 82% of short arm recombination was observed in the 1S0.8 region and 17% in the 1S0.5 region. Less than 1% recombination was observed for the remaining 85% of the physical arm length.     

Mapping and validation of chromosome regions conferring boron toxicity tolerance in wheat (Triticum aestivum)

Boron is an essential plant micro-nutrient which can be phytotoxic to plants if present in soils in high concentration. Boron toxicity has been recognised as an important problem limiting production in the low rainfall areas of southern Australia, West Asia and North Africa. Genetic variation for boron toxicity tolerance in wheat has been well-characterised. The efficiency of breeding for boron toxicity tolerance could be greatly enhanced by the development of molecular markers associated with QTLs for tolerance in wheat. A population of 161 doubled haploids from a cross between the tolerant cultivar Halberd and the moderately sensitive cultivar Cranbrook was used to identify chromosomal regions involved in boron tolerance. A combined RFLP and AFLP linkage map of the Cranbrook x Halberd population was used to identify chromosomal regions involved in the boron tolerance traits measured. Regions on chromosome 7B and 7D were associated with leaf symptom expression. The region on chromosome 7B was also associated with the control of boron uptake and with a reduction in the effect of boron toxicity on root-growth suppression. RFLP markers at the chromosome 7B and 7D loci were shown to be effective in selecting for improved boron tolerance in an alternative genetic background. Halberd alleles at the chromosome 7B locus were associated with the concentration of boron in whole shoots and grain. The concentration of boron in whole shoots and in grain were both related to grain yield in a field trial conducted on soil containing toxic levels of boron. Implications relating to marker-assisted selection for boron toxicity tolerance in wheat are discussed. Received: 3 September 1999 / Accepted: 12 February 2000     

Genomic targeting and high-resolution mapping of the domestication gene Q in wheat.

The Q locus is largely responsible for the domestication of bread wheat. Q confers the free-threshing character of the spike and influences other important agronomic traits. Using chromosome deletion lines, Q was placed on the physical map within a submicroscopic segment of the long arm of chromosome 5A. We targeted markers to the segment by comparative mapping of anonymous RFLP clones, AFLP, and mRNA differential display analysis of deletion lines 5AL-7 and -23, which have deletion breakpoints that flank the Q locus. Differentially expressed sequences detected fragments at various loci on group 5 chromosomes suggesting that Q may be a regulatory gene. We identified 18 markers within the Q gene deletion interval and used them to construct a genetic linkage map of the region in F2 populations derived from chromosome 5A disomic substitution lines. The genetic map corresponding to the deletion segment was 20-cM long, and we identified markers as close as 0.7 cM to the Q gene. An estimate of base pairs per centimorgan within the region is 250 kb/cM, an 18-fold increase in recombination compared with the genomic average. Genomic targeting and high-density mapping provide a basis for the map-based cloning of the Q gene.     

Mapping of QTLs associated with cytosolic glutamine synthetase and NADH-glutamate synthase in rice (Oryza sativa L.).

Ninety-eight backcross inbred lines (BC1F6) developed between Nipponbare, a japonica rice, and Kasalath, an indica rice were employed to detect putative quantitative trait loci (QTLs) associated with the contents of cytosolic glutamine synthetase (GS1; EC 6.3.1.2) and NADH-glutamate synthase (NADH-GOGAT; EC 1.4.1.14) in leaves. Immunoblotting analyses showed transgressive segregations toward lower or greater contents of these enzyme proteins in these backcross inbred lines. Seven chromosomal QTL regions for GS1 protein content and six for NADH-GOGAT protein content were detected. Some of these QTLs were located in QTL regions for various biochemical and physiological traits affected by nitrogen recycling. These findings suggested that the variation in GS1 and NADH-GOGAT protein contents in this population is related to the changes in the rate of nitrogen recycling from senescing organs to developing organs, leading to changes in these physiological traits. Furthermore, a structural gene for GS1 was mapped between two RFLP markers, C560 and C1408, on chromosome 2 and co-located in the QTL region for one-spikelet weight. A QTL region for NADH-GOGAT protein content was detected at the position mapped for the NADH-GOGAT structural gene on chromosome 1. A QTL region for soluble protein content in developing leaves was also detected in this region. Although fine mapping is required to identify individual genes in the future, QTL analysis could be a useful post-genomic tool to study the gene functions for regulation of nitrogen recycling in rice.     

水稻F2不育和抽穗期QTL分析

对台中65（粳稻）/Bhadua（籼稻）杂交F2代群体构建了RFLP连锁图谱,含94个分布较为均匀的标记。对F2小穗不育性状进行单点分析和区间分析的结果基本一致：有两个F2小穗不育QTL座位分别位于染色体1的XNpb113～XNpb346之间和染色体8的G187～XNpb397之间,而且该两个QTL均为新检测出的座位;检测出5个抽穗期TQL,其中3个座位在单点分析和区间分析中的结果一致,分别位于染色体1的XNpb113～XNpb346,染色体4的C891～C335,染色体的8的C166～C1121,另外,染色体6的XNpb27为单点分析结果,染色体10的R716～C405为区间分析结果。由于染色体1上的F2不育QTL和抽穗期QTL重叠,该QTL座位是由于遗传效应所至还是由于环境因素（迟抽穗）所至有待构建近等基因系进一步研究。;位于染色体1和10上的抽穗期QTL座位为新检测的座位。对新检测的F2不育和抽穗期QTL座位正在建立相应的近等基因系以精确定位和克隆上述基因。     

Genetic analysis of drought tolerance in maize by molecular markers. II. Plant height and flowering

Drought is a serious agronomic problem, and one of the most important factors contributing to crop yield loss. In maize grown in temperate areas, drought stress occurs just before and during the flowering period; consequently, tolerance to water stress in this species is largely determined by events that occur at or shortly after flowering. The purposes of our investigation were: (1)?to identify the chromosomal regions where factors conferring drought tolerance for traits related to plant development and flowering are located and (2)?to compare these regions with those carrying QTLs controlling these traits, in order to get indirect information on the genetic and physiological basis of maize response to water stress. To this aim, we performed a linkage analysis between the expression of male and female flowering time, anthesis-silking interval (ASI), plant height and molecular markers. The experiment was carried out under two environmental conditions, well-watered and water-stressed, on a maize population of 142 recombinant inbred lines obtained by selfing the F₁ between lines B73 and H99 and genotyped by RFLP, microsatellites (SSR) and AFLP markers, for a total of 153 loci. Linkage analysis revealed that, for male flowering time and plant height, most of the QTLs detected were the same under control and stress conditions. In contrast, with respect to female flowering time and ASI diverse QTLs appeared to be expressed either under control conditions or under stress. All of the QTLs conferring tolerance to drought were located in a different chromosome position as compared to the map position of the factors controlling the trait per se. This suggests that plant tolerance, in its different components, is not attributable to the presence of favourable allelic combinations controlling the trait but is based on physiological characteristics not directly associated with the control of the character.     

Comparative mapping of the barley Ppd-H1 photoperiod response gene region,which lies close to a junction between two rice linkage segments

Comparative mapping of cereals has shown that chromosomes of barley, wheat, and maize can be described in terms of rice "linkage segments." However, little is known about marker order in the junctions between linkage blocks or whether this will impair comparative analysis of major genes that lie in such regions. We used genetic and physical mapping to investigate the relationship between the distal part of rice chromosome 7L, which contains the Hd2 heading date gene, and the region of barley chromosome 2HS containing the Ppd-H1 photoperiod response gene, which lies near the junction between rice 7 and rice 4 linkage segments. RFLP markers were mapped in maize to identify regions that might contain Hd2 or Ppd-H1 orthologs. Rice provided useful markers for the Ppd-H1 region but comparative mapping was complicated by loss of colinearity and sequence duplications that predated the divergence of rice, maize, and barley. The sequences of cDNA markers were used to search for homologs in the Arabidopsis genome. Homologous sequences were found for 13 out of 16 markers but they were dispersed in Arabidopsis and did not identify any candidate equivalent region. The implications of the results for comparative trait mapping in junction regions are discussed.     

Mapping QTLs for root traits in a recombinant inbred population from two indica ecotypes in rice

Evaluation of root traits in rainfed lowland rice is very difficult. Molecular genetic markers could be used as an alternative strategy to phenotypic selection for the improvement of rice root traits. This research was undertaken to map QTLs associated with five root traits using RFLP and AFLP markers. Recombinant inbred lines (RILs) were developed from two indica parents, IR58821–23-B-1–2-1 and IR52561-UBN-1–1-2, that were adapted to rainfed lowland production systems. Using wax-petrolatum layers to simulate a hardpan in the soil, 166 RILs were evaluated for total root number (TRN), penetrated root number (PRN), root penetration index (RPI, the ratio of PRN to TRN), penetrated root thickness (PRT) and penetrated root length (PRL) under greenhouse conditions during the summer and the fall of 1997. A genetic linkage map of 2022 cM length was constructed comprising 303 AFLP and 96 RFLP markers with an average marker space of 5.0 cM. QTL analysis via interval mapping detected 28 QTLs for these five root traits, which were located on chromosomes 1, 2, 3, 4, 6, 7, 10 and 11. Individual QTLs accounted for between 6 and 27% of the phenotypic variation. Most of the favorable alleles were derived from the parent IR58821–23-B-1–2-1, which was phenotypically superior in root traits related to drought resistance. Three out of six QTLs for RPI were detected in both summer and fall experiments and they also were associated with PRN in both experiments. Out of eight QTLs for RPT, five were common in both seasons. Two genomic regions on chromosome 2 were associated with three root traits (PRN, PRT and RPI), whereas three genomic regions on chromosomes 2 and 3 were associated with two root traits (PRT and RPI). Two QTLs affecting RPI and two QTLs affecting PRT were also found in similar genomic regions in other rice populations. The consistent QTLs across genetic backgrounds and the common QTLs detected in both experiments should be good candidates for marker-assisted selection toward the incorporation of root traits in a drought resistance breeding program, especially for rainfed lowland rice. Received: 17 November 1999 / Accepted: 19 March 2000     

Genotype‐specific SNP map based on whole chromosome 3B sequence information from wheat cultivars Arina and Forno

Agronomically important traits are frequently controlled by rare, genotype‐specific alleles. Such genes can only be mapped in a population derived from the donor genotype. This requires the development of a specific genetic map, which is difficult in wheat because of the low level of polymorphism among elite cultivars. The absence of sufficient polymorphism, the complexity of the hexaploid wheat genome as well as the lack of complete sequence information make the construction of genetic maps with a high density of reproducible and polymorphic markers challenging. We developed a genotype‐specific genetic map of chromosome 3B from winter wheat cultivars Arina and Forno. Chromosome 3B was isolated from the two cultivars and then sequenced to 10‐fold coverage. This resulted in a single‐nucleotide polymorphisms (SNP) database of the complete chromosome. Based on proposed synteny with the Brachypodium model genome and gene annotation, sequences close to coding regions were used for the development of 70 SNP‐based markers. They were mapped on a Arina × Forno Recombinant Inbred Lines population and found to be spread over the complete chromosome 3B. While overall synteny was well maintained, numerous exceptions and inversions of syntenic gene order were identified. Additionally, we found that the majority of recombination events occurred in distal parts of chromosome 3B, particularly in hot‐spot regions. Compared with the earlier map based on SSR and RFLP markers, the number of markers increased fourfold. The approach presented here allows fast development of genotype‐specific polymorphic markers that can be used for mapping and marker‐assisted selection.