Variance in Female Reproductive Success Differentially Impacts Effective Population Size in the Short-Nosed Fruit Bat, <Emphasis Type="Italic">Cynopterus sphinx</Emphasis>

Effective population size (N _e) quantifies the effects of micro-evolutionary processes and the rate of loss of genetic diversity in a population. Several demographic and mating parameters reduce N _e. Theoretical studies elucidate the impacts of various demographic and mating system parameters on N _e, while empirical studies illustrate realized N _e for species with differing life histories and mating systems. However, effect of intra-specific variation in mating system on effective size remains largely unexplored. In this paper we investigated the effect of promiscuous and polygynous mating on N _e in two wild populations of the short-nosed fruit bat, Cynopterus sphinx. N _e/N (ratio of effective population size to census size) was lower than unity in both populations, and much lower for the polygynous population compared to promiscuous population. Elasticity analyses reveal that N _e/N was sensitive to deviations in the sex ratio. Variance in female reproductive success had a higher impact on N _e compared to variance in male reproductive success in the promiscuous population. However, for the polygynous population, impact of variance in male reproductive success on N _e was higher than that of variance in female reproductive success. Our results suggest that depending on mating system, different populations of the same species could have alternate evolutionary trajectories. The rate of loss of genetic diversity would be lower for the promiscuous population compared to the polygynous population. Our study is the first to highlight which parameters would most significantly impact population specific N _e under different mating systems.     

Exploiting the <Emphasis Type="Italic">Rht</Emphasis> portfolio for hybrid wheat breeding

Key message

The portfolio of available Reduced height loci (Rht-B1, Rht-D1, and Rht24) can be exploited for hybrid wheat breeding to achieve the desired heights in the female and male parents, as well as in the hybrids, without adverse effects on other traits relevant for hybrid seed production.

Abstract

Plant height is an important trait in wheat line breeding, but is of even greater importance in hybrid wheat breeding. Here, the height of the female and male parental lines must be controlled and adjusted relative to each other to maximize hybrid seed production. In addition, the height of the resulting hybrids must be fine-tuned to meet the specific requirements of the farmers in the target regions. Moreover, this must be achieved without adversely impacting traits relevant for hybrid seed production. In this study, we explored Reduced height (Rht) loci effective in elite wheat and exploited their utilization for hybrid wheat breeding. We performed association mapping in a panel of 1705 wheat hybrids and their 225 parental lines, which besides the Rht-B1 and Rht-D1 loci revealed Rht24 as a major QTL for plant height. Furthermore, we found that the Rht-1 loci also reduce anther extrusion and thus cross-pollination ability, whereas Rht24 appeared to have no adverse effect on this trait. Our results suggest different haplotypes of the three Rht loci to be used in the female or male pool of a hybrid breeding program, but also show that in general, plant height is a quantitative trait controlled by numerous small-effect QTL. Consequently, marker-assisted selection for the major Rht loci must be complemented by phenotypic selection to achieve the desired height in the female and male parents as well as in the wheat hybrids.

     

Estimates of linkage disequilibrium and effective population sizes in Chinese Merino (Xinjiang type) sheep by genome-wide SNPs

Knowledge of linkage disequilibrium (LD) is important for effective genome-wide association studies and accurate genomic prediction. Chinese Merino (Xinjiang type) is well-known fine wool sheep breed. However, the extent of LD across the genome remains unexplored. In this study, we calculated autosomal LD based on genome-wide SNPs of 635 Chinese Merino (Xinjiang type) sheep by Illumina Ovine SNP50 BeadChip. A moderate level of LD (r ²?≥?0.25) across the whole genome was observed at short distances of 0–10 kb. Further, the ancestral effective population size (N _e ) was analyzed by extent of LD and found that N _e increased with the increase of generations and declined rapidly within the most recent 50 generations, which is consistent with the history of Chinese Merino sheep breeding, initiated in 1971. We also noted that even when the effective population size was estimated across different single chromosomes, N _e only ranged from 140.36 to 183.33 at five generations in the past, exhibiting a rapid decrease compared with that at ten generations in the past. These results indicated that the genetic diversity in Chinese Merino sheep recently decreased and proper protective measures should be taken to maintain the diversity. Our datasets provided essential genetic information to track molecular variations which potentially contribute to phenotypic variation in Chinese Merino sheep.     

Mapping of days to flower and seed yield in spring oilseed <Emphasis Type="Italic">Brassica napus</Emphasis> carrying genome content introgressed from <Emphasis Type="Italic">Brassica oleracea</Emphasis>

Earliness of flowering and maturity and high seed yield are important objectives of breeding spring Brassica napus canola. Previously, we have introgressed earliness of flowering from Brassica oleracea into spring B. napus canola through interspecific crossing between these two species. In this paper, we report quantitative trait locus (QTL) mapping of days to flower and seed yield by use of publicly available markers and markers designed based on flowering time genes and a doubled haploid population, derived from crossing of the spring canola parent and an early flowering line developed from a B. napus × B. oleracea cross, tested in nine field trials for over 5 years. Five genomic regions associated with days to flower were identified on C1, C2, C3, and C6 of which the single QTL of C1 was detected in all trials; in all cases, the allele introgressed from B. oleracea reduced the number of days to flower. BLASTn search in the Brassica genomes located the physical position of the QTL markers and identified putative flowering time genes in these regions. In the case of seed yield, ten QTL from eight linkage groups were detected; however, none could be consistently detected in all trials. The QTL region of C1 associated with days to flower did not show significant association with seed yield in more than 80% of the field trials; however, in a single trial, the allele introgressed from B. oleracea exerted a negative effect on seed yield. Thus, the genomic regions and molecular markers identified in this research could potentially be used in breeding for the development of early flowering B. napus canola cultivars without affecting seed yield in a majority of the environments.     

Exploring new alleles for frost tolerance in winter rye

Key message

Rye genetic resources provide a valuable source of new alleles for the improvement of frost tolerance in rye breeding programs.

Abstract

Frost tolerance is a must-have trait for winter cereal production in northern and continental cropping areas. Genetic resources should harbor promising alleles for the improvement of frost tolerance of winter rye elite lines. For frost tolerance breeding, the identification of quantitative trait loci (QTL) and the choice of optimum genome-based selection methods are essential. We identified genomic regions involved in frost tolerance of winter rye by QTL mapping in a biparental population derived from a highly frost tolerant selection from the Canadian cultivar Puma and the European elite line Lo157. Lines per se and their testcrosses were phenotyped in a controlled freeze test and in multi-location field trials in Russia and Canada. Three QTL on chromosomes 4R, 5R, and 7R were consistently detected across environments. The QTL on 5R is congruent with the genomic region harboring the Frost resistance locus 2 (Fr–2) in Triticeae. The Puma allele at the Fr–R2 locus was found to significantly increase frost tolerance. A comparison of predictive ability obtained from the QTL-based model with different whole-genome prediction models revealed that besides a few large, also small QTL effects contribute to the genomic variance of frost tolerance in rye. Genomic prediction models assigning a high weight to the Fr–R2 locus allow increasing the selection intensity for frost tolerance by genome-based pre-selection of promising candidates.

     

Genetic dissection of seed weight by QTL analysis and detection of allelic variation in Indian and east European gene pool lines of <Emphasis Type="Italic">Brassica juncea</Emphasis>

Key message

Seed weight QTL identified in different populations were synthesized into consensus QTL which were shown to harbor candidate genes by in silico mapping. Allelic variation inferred would be useful in breeding B. juncea lines with high seed weight.

Abstract

Seed weight is an important yield influencing trait in oilseed Brassicas and is a multigenic trait. Among the oilseed Brassicas, Brassica juncea harbors the maximum phenotypic variation wherein thousand seed weight varies from around 2.0 g to more than 7.0 g. In this study, we have undertaken quantitative trait locus/quantitative trait loci (QTL) analysis of seed weight in B. juncea using four bi-parental doubled-haploid populations. These four populations were derived from six lines (three Indian and three east European lines) with parental phenotypic values for thousand seed weight ranging from 2.0 to 7.6 g in different environments. Multi-environment QTL analysis of the four populations identified a total of 65 QTL ranging from 10 to 25 in each population. Meta-analysis of these component QTL of the four populations identified six ‘consensus’ QTL (C-QTL) in A3, A7, A10 and B3 by merging 33 of the 65 component Tsw QTL from different bi-parental populations. Allelic diversity analysis of these six C-QTL showed that Indian lines, Pusajaikisan and Varuna, hold the most positive allele in all the six C-QTL. In silico mapping of candidate genes with the consensus QTL localized 11 genes known to influence seed weight in Arabidopsis thaliana and also showed conserved crucifer blocks harboring seed weight QTL between the A subgenomes of B. juncea and B. rapa. These findings pave the way for a better understanding of the genetics of seed weight in the oilseed crop B. juncea and reveal the scope available for improvement of seed weight through marker-assisted breeding.

     

QTL-seq for rapid identification of candidate genes for flowering time in broccoli × cabbage

Key message

A major QTL controlling early flowering in broccoli × cabbage was identified by marker analysis and next-generation sequencing, corresponding to GRF6 gene conditioning flowering time in Arabidopsis.

Abstract

Flowering is an important agronomic trait for hybrid production in broccoli and cabbage, but the genetic mechanism underlying this process is unknown. In this study, segregation analysis with BC₁P1, BC₁P2, F₂, and F_2:3 populations derived from a cross between two inbred lines “195” (late-flowering) and “93219” (early flowering) suggested that flowering time is a quantitative trait. Next, employing a next-generation sequencing-based whole-genome QTL-seq strategy, we identified a major genomic region harboring a robust flowering time QTL using an F₂ mapping population, designated Ef2.1 on cabbage chromosome 2 for early flowering. Ef2.1 was further validated by indel (insertion or deletion) marker-based classical QTL mapping, explaining 51.5% (LOD = 37.67) and 54.0% (LOD = 40.5) of the phenotypic variation in F₂ and F_2:3 populations, respectively. Combined QTL-seq and classical QTL analysis narrowed down Ef1.1 to a 228-kb genomic region containing 29 genes. A cabbage gene, Bol024659, was identified in this region, which is a homolog of GRF6, a major gene regulating flowering in Arabidopsis, and was designated BolGRF6. qRT-PCR study of the expression level of BolGRF6 revealed significantly higher expression in the early flowering genotypes. Taken together, our results provide support for BolGRF6 as a possible candidate gene for early flowering in the broccoli line 93219. The identified candidate genomic regions and genes may be useful for molecular breeding to improve broccoli and cabbage flowering times.

     

Identification and validation of quantitative trait loci controlling seed isoflavone content across multiple environments and backgrounds in soybean

Soybean is important throughout the world not only due to the high seed protein and oil but also owing to the seed isoflavone. To improve the isoflavone concentration in seeds, detecting and mining the stable and reliable quantitative trait loci (QTLs) and related genes in multiple environments and genetic backgrounds become more and more important. In view of this, a F_6:7 recombinant inbred line (RIL) population of 345 lines derived from a cross between Zheng 92116 and Liaodou14 (ZL) was genotyped using 1739 polymorphic SNP and 127 SSR markers in this study and was phenotyped for individual and total seed isoflavone in four environments over 2 years. In total, 48 additive QTLs, which explained 3.00–29.83% of seed isoflavone variation, were identified. Of them, eight QTLs (qDA1_1, qGA1_1, qTIA1_1, qDA1_2, qGA1_2, qTIA1_2, qDA1_3, qTIA1_3) with phenotypic variation explained (PVE) ranging from 14.09 to 28.59% for daidzin, genistin, and total isoflavone were located on the same region of linkage group (LG) A1. These QTLs were further verified in another RIL population derived from Zheng 92116 × Qihuang 30 (ZQ). Meanwhile, the other four overlapping QTLs on linkage group B1, which were associated with glycitin content (qGLB1_1, qGLB1_2, qGLB1_3, qGLB1_4) and explained 16.52 to 29.83% of phenotypic variation, were also verified using the ZQ population. Moreover, the individuals with different genotypes at the common flanking SNP markers for these QTLs on LGs A1 and B1 in the two mapping populations showed significant different isoflavone content, which further validate the QTL mapping results. And also, some candidate genes might participate in the isoflavone biosynthesis processes were found in these stable QTL regions. Thus, the novel and stable QTLs identified and verified in this study could be applied in marker-assisted selection breeding or map-based candidate genes cloning in soybean seed isoflavone genetic improvement in future.     

Performance of multi-trait genomic selection for <Emphasis Type="Italic">Eucalyptus robusta</Emphasis> breeding program

In forest tree genetic improvement, multi-trait genomic selection (GS) may have advantages in improving the accuracy of the genotype estimation and shortening selection cycles. For the breeding of Eucalyptus robusta, one of the most exotic planted species in Madagascar, volume at 49 months (V49), total lignin (TL), and holo-cellulose (Holo) were considered. For GS, 2919 single nucleotide polymorphisms (SNP) were used with the genomic best linear unbiased predictor (GBLUP) method, which was as efficient as the reproducing kernel Hilbert space (RKHS) and elastic net methods (EN), but more adapted to multi-trait modeling. The efficiency of individual I model, including the genomic data, was much higher than the provenance effect P model. For example, with V49, mean goodness-of-fit was: r_{I_Full} =?0.79, r_{P_Full} =?0.37 for I and P, respectively. The prediction accuracies using the cross-validation procedure were lower for V49: r_I =?0.29 r_P =?0.28. The genetic gains resulting from the indexes associating (V49, TL) and (V49, Holo) were higher using I than for the P model; for V49, the relative genetic gain was 37 and 20%, respectively, with 5% of selection intensity. The single-trait approach was as efficient as the multi-trait approach given the weak correlations between V49 and TL or Holo. The I model also brings greater diversity: for V49 the number of provenances represented in a selected population was two and three with the P model, and 6 and 16 with the I model.     

Fine Mapping of <Emphasis Type="Italic">qDor7</Emphasis>, a Major QTL Affecting Seed Dormancy in Sorghum (<Emphasis Type="Italic">Sorghum bicolor</Emphasis> (L.) Moench)

Seed dormancy is a key domestication trait for major crops, which is acquired in long-term systems development processes and enables the survival of plants in adverse natural conditions. It is a complex trait under polygenic control and is affected by endogenous and environmental factors. In the present study, a major seed dormancy QTL in sorghum (Sorghum bicolor (L.) Moench), qDor7, detected previously, was fine mapped using a large, multi-generational population. The qDor7 locus was delimited to a 96-kb region which contains 16 predicted gene models. These results lay a solid foundation for cloning qDor7. In addition, the functional markers tightly linked to the seed dormancy QTL may be used in marker-assisted selection for seed dormancy in sorghum.     

Effective to census population size ratios in two Near Threatened Mediterranean amphibians: <Emphasis Type="Italic">Pleurodeles waltl</Emphasis> and <Emphasis Type="Italic">Pelobates cultripes</Emphasis>

Efforts to mitigate amphibian declines are hindered by a lack of information about basic aspects of their biology and demography. The effective to census population size ratio (N _e /N _c ) is one of the most important parameters for the management of wildlife populations because it combines information on population abundance and genetic diversity and helps predict population viability in the long term. Few studies have calculated this ratio in amphibians, which sometimes show low ratios, associated with a higher extinction risk. Here we integrate field-based (capture-mark-recapture studies, egg string counts) and molecular approaches (estimation of the effective number of breeders (N _b ) and the effective population size (N _e ) based on genotypes from larval cohorts and candidate parents) to produce the first estimates of the N _e /N _c and N _b /N _c ratios in two amphibians, the Iberian ribbed newt Pleurodeles waltl and the western spadefoot Pelobates cultripes. Additionally, we investigate sex-biased dispersal in both species based on direct (field observations) and indirect (genetic) evidence. Both species showed similar ratios, slightly lower in Pleurodeles (0.21–0.24) than in Pelobates (0.25–0.30). Observed displacement rates were low in both species (P. waltl?=?0.51%; P. cultripes?=?1.23%). We found no evidence for sex-biased dispersal in P. cultripes, but both direct and indirect evidences suggest a tendency for female-biased dispersal in P. waltl. We discuss differences in the genetic estimates of N _e and N _b provided by three inference methods and the implications of our findings for the management of these species, characteristic of Mediterranean wetlands in the Iberian Peninsula and listed as Near Threatened.     

Genomic Selection Using BayesCπ and GBLUP for Resistance Against <Emphasis Type="Italic">Edwardsiella tarda</Emphasis> in Japanese Flounder (<Emphasis Type="Italic">Paralichthys olivaceus</Emphasis>)

The Japanese flounder is one of the most widely farmed economic flatfish species throughout eastern Asia including China, Korea, and Japan. Edwardsiella tarda is a major species of pathogenic bacteria that causes ascites disease and, consequently, a huge economy loss for Japanese flounder farming. After generation selection, traditional breeding methods can hardly improve the E. tarda resistance effectively. Genomic selection is an effective way to predict the breeding potential of parents and has rarely been used in aquatic breeding. In this study, we chose 931 individuals from 90 families, challenged by E. tarda from 2013 to 2015 as a reference population and 71 parents of these families as selection candidates. 1,934,475 markers were detected via genome sequencing and applied in this study. Two different methods, BayesCπ and GBLUP, were used for genomic prediction. In the reference population, two methods led to the same accuracy (0.946) and Pearson’s correlation results between phenotype and genomic estimated breeding value (GEBV) of BayesCπ and GBLUP were 0.912 and 0.761, respectively. In selection candidates, GEBVs from two methods were highly similar (0.980). A comparison of GEBV with the survival rate of families that were structured by selection candidates showed correlations of 0.662 and 0.665, respectively. This study established a genomic selection method for the Japanese flounder and for the first time applied this to E. tarda resistance breeding.     

Development of microsatellite markers and their use in genetic diversity and population structure analysis in <Emphasis Type="Italic">Casuarina</Emphasis>

Casuarina is a widely cultivated plantation tree species in coastal India, primarily due to its fast growth, high productivity and suitable for pulp and paper production. However, genetic studies of Casuarina have been hindered by lack of genomic resources and genetic markers. Knowledge of the genetic diversity and population structure of Casuarina germplasms will provide the basis for utilizing and improving resource in the breeding program. Keeping this in view, in the present study, we have identified a total of 11,503 simple sequence repeat (SSR) makers from 86,415 expressed sequence tags (ESTs) of Casuarina equisetifolia and C. junghuhniana after redundancy elimination. Dinucleotide repeats were the most abundant accounting for 72.5 % of all microsatellites, followed by trimer (23.4 %), hexamer (1.7 %), tetramer (1.5 %), and very few pentamer (0.6 %) repeats. Of these, 50 markers were used to estimate genetic diversity and population structure among 96 accessions of C. cunninghamiana and C. junghuhniana. EST-SSR markers revealed high level of polymorphism, detecting a total of 829 alleles with an average of 17 alleles per locus. Polymorphic information content (PIC) values ranged from 0.32 to 0.93, with an average of 0.78 per locus. The average observed (H _o ) and expected heterozygosity (H _e ) obtained was high and fairly similar in C. cunninghamiana and C. junghuhniana, thereby suggesting highly heterogeneous nature of Casuarina. Population structure using a Bayesian model-based clustering approach identified clear delineation between C. cunninghamiana and C junghuhniana. Further, these markers were also evaluated in four species of Casuarina confirming high rate of cross-species transferability. The results of this study can provide valuable insights for genetic and genomic research in Casuarina.     

Conservation genetics of the threatened catfish <Emphasis Type="Italic">Conorhynchos conirostris</Emphasis> (Siluriformes: <Emphasis Type="Italic">incertae sedis</Emphasis>), an evolutionary relict endemic to the São Francisco River Basin,Brazil

Analysis of genetic datasets can be particularly useful in providing guidelines for conservation management of understudied species targeted by commercial activities. Here we used population genetic approaches to inform on the conservation status of the Neotropical long-nose pirá catfish, Conorhynchos conirostris. Pirá is a large migratory fish endemic to the São Francisco River Basin (SFRB). It is an evolutionarily divergent and relict species, being the sole representative of an incertae sedis family. The species is considered locally extinct in the upper and lower SFRB, listed as vulnerable on the IUCN Red List and as endangered on the Brazilian Red List (ICMBIO). Fishing prohibition has received severe criticism from middle SFRB fisheries that claim that this understudied species is relatively abundant in that region. We used information from 13 microsatellite markers and COI mitochondrial sequences to clarify the genetic diversity of this enigmatic species in the middle SFRB, to estimate contemporary effective population size (N_e), and to assess its conservation status. Results from bottleneck analyses indicated that the species has experienced recent reductions in population size, which is consistent with small estimates of contemporary N_e. The predicted amount of heterozygosity loss (H_t) in t generations ranged from 0.1152 (for an estimated N_e of 26.4; t?=?100) to 0.7573 (for an estimated N_e of 169.9; t?=?10). Our study supports the conservation status proposed by the ICMBIO to the remaining pirá population. Moreover, we highlight the need for demographic data and the re-assessment of the current IUCN classification for this evolutionary relict lineage.     

Using SSR markers for hybrid identification and resource management in Vietnamese <Emphasis Type="Italic">Acacia</Emphasis> breeding programs

We used a set of 16 SSR markers to check the identity of pure-species and hybrid clones in Vietnam’s Acacia auriculiformis, Acacia mangium, and acacia hybrid (A. mangium × A. auriculiformis) breeding programs. The statistics package HIest, applied to a large synthesized population, enabled accurate allocation of genotypes to the two pure species, F₁ and F₂ inter-specific hybrids and backcrosses, based on estimates of hybridity and heterozygosity. The hybridity status of putatively pure A. mangium and A. auriculiformis clones in adjacent clonal seed orchards was checked. Four out of 100 clones selected as A. mangium were found to be backcrosses (A. mangium × F₁ inter-specific hybrid) while out of 96 clones selected as A. auriculiformis, two were F₁ hybrids and two were backcrosses (A. auriculiformis × F₁ hybrid). The markers were then applied to check the hybridity status of 160 putative acacia F₁ hybrid genotypes that had been selected on morphological criteria from open-pollinated progenies collected from A. auriculiformis and A. mangium parents. Many selections based on morphology were found to be mistaken. Only thirteen of 63 clones originating from A. auriculiformis mothers were F₁ hybrids, four were backcrosses, and the remaining 46 were pure A. auriculiformis. Fewer mistakes were evident for clones selected from A. mangium mothers, with 82 out of 89 clones confirmed as F₁ hybrids, three as backcrosses, and four as pure A. mangium. The occurrence of F₁ hybrids and backcrosses in pure-species seed orchards and their progeny shows that inter-species contamination is an issue requiring management in both pure-species and in hybrid breeding of these species in Vietnam. Examination of genetic distances among verified clones showed patterns of relatedness that were consistent with pedigree records. Implications for resource management as well as for breeding and clonal selection strategies are considered.     

Assay development and marker validation for marker assisted selection of <Emphasis Type="Italic">Fusarium oxysporum</Emphasis> f. sp. <Emphasis Type="Italic">niveum</Emphasis> race 1 in watermelon

Fusarium wilt, Fusarium oxysporum f. sp. niveum (FON), of watermelon (Citrullus lanatus) is a fungal pathogen that causes significant yield losses in the US watermelon industry. FON damages watermelon through invasion of the root system and remains a difficult pathogen to manage due to its long-lasting survival spores which persist in the soil. Chemical control options for this pathogen are lacking, making development of genetic resistance the best option. There are four known races of FON (0, 1, 2, and 3) which are distinguished based on their pathogenicity of differential cultivars. Most modern cultivar releases have FON race 1 (FON-1) resistance, which has been mapped on the end of chromosome 1. Application of marker assisted selection (MAS) would improve the efficiency of FON-1 resistance breeding. In order to identify markers for selection in the FON-1 region, the QTL-seq method was utilized on an F₂ population segregating for FON-1 resistance. Single nucleotide polymorphism (SNP) markers in the region were developed into Kompetitive allele-specific PCR (KASP?) assays and tested for trait association on the segregating F_2:3 population. Marker validation was done using an F₂ population from a cross between FON-1 susceptible “New Hampshire Midget” and FON-1-resistant “Calhoun Gray.” Further validation on a panel of susceptible and resistant cultivars and Plant Introductions identified SNP marker UGA1_502161 as a useful marker for selection of FON-1 resistance from Calhoun Gray.     

QTL mapping of mandarin (<Emphasis Type="Italic">Citrus reticulata</Emphasis>) fruit characters using high-throughput SNP markers

Seedlessness, flavor, and color are top priorities for mandarin (Citrus reticulata Blanco) cultivar improvement. Given long juvenility, large tree size, and high breeding cost, marker-assisted selection (MAS) may be an expeditious and economical approach to these challenges. The objectives of this study were to construct high-density mandarin genetic maps and to identify single nucleotide polymorphism (SNP) markers associated with fruit quality traits. Two parental genetic maps were constructed from an F₁ population derived from ‘Fortune’ × ‘Murcott’, two mandarin cultivars with distinct fruit characters, using a 1536-SNP Illumina GoldenGate assay. The map for ‘Fortune’ (FOR) consisted of 189 SNPs spanning 681.07 cM and for ‘Murcott’ (MUR) consisted of 106 SNPs spanning 395.25 cM. Alignment of the SNP sequences to the Clementine (Citrus clementina) genome showed highly conserved synteny between the genetic maps and the genome. A total of 48 fruit quality quantitative trait loci (QTLs) were identified, and ten of them stable over two or more samplings were considered as major QTLs. A cluster of QTLs for flavedo color space values L, a, b, and a/b and juice color space values a and a/b were detected in a single genomic region on linkage group 4. Two carotenoid biosynthetic pathway genes, pds1 and ccd4, were found within this QTL interval. Several SNPs were potentially useful in MAS for these fruit characteristics. QTLs were validated in 13 citrus selections, which may be useful in further validation and tentative MAS in mandarin fruit quality improvement.     

Identification and marker-assisted transfer of a new powdery mildew resistance gene at the <Emphasis Type="Italic">Pm4</Emphasis> locus in common wheat

Powdery mildew, a wheat (Triticum aestivum L.) foliar disease caused by Blumeria graminis (DC.) E.O. Speer f. sp. tritici, imposes a constant challenge on wheat production in areas with cool or maritime climates. This study was conducted to identify and transfer the resistance gene in the newly identified common wheat accession ‘D29’. Genetic analysis of the F₂ population derived from a cross of D29 with the susceptible elite cultivar Y158 suggested a single dominant gene is responsible for the powdery mildew resistance in this germplasm. This gene was mapped to chromosome 2AL in a region flanked by microsatellite markers Xgdm93 and Xhbg327, and co-segregated with sequence-tagged site (STS) markers Xsts_bcd1231 and TaAetPR5. An allelic test indicated that the D29 gene was allelic to the Pm4 locus. To further evaluate the resistance conferred by this gene and develop new germplasms for breeding, this gene, as well as Pm4a and Pm4b, was transferred to Y158 through backcross and marker-assisted selection. In the resistance spectrum analysis, the D29 gene displayed a resistance spectrum distinguishable from the other Pm4 alleles, including Pm4a, Pm4b, and Pm4c, and thus was designated as Pm4e. The identification of new allelic variation at the Pm4 locus is important for understanding the resistance gene evolution and for breeding wheat cultivars with powdery mildew resistance.     

Genetic variation for domestication-related traits revealed in a cultivated rice,Nipponbare (<Emphasis Type="Italic">Oryza sativa ssp. japonica</Emphasis>) × ancestral rice, <Emphasis Type="Italic">O. nivara</Emphasis>, mapping population

Oryza nivara is the ancestral species of cultivated rice (Oryza sativa). It has been the source of novel alleles for resistance to biotic and abiotic stresses, as well as yield improvement, lost during the course of domestication. To determine the molecular changes that occurred during domestication, the O. sativa ssp. japonica variety, Nipponbare, from which a reference sequence (RefSeq) was developed, was crossed with the O. nivara accession (IRGC100897), from which BAC-end sequences (BES) were derived. The mapping population composed of 279 F₂ progeny lines derived from this cross was phenotyped for 19 traits important to domestication and yield improvement, including basal sheath and culm color, culm angle, days to heading, plant height, seed shattering, flag leaf length and width, panicle type and length, awn length and color, pericarp color, and seed color, length, width, length to width ratio, volume and surface area. The population was genotyped using 95 SSR markers and 114 single nucleotide variation (SNV) markers, selected by comparing the Nipponbare RefSeq and O. nivara BES. At least one major QTL was identified for each trait evaluated, and for 28 of the 46 QTL, the trait increase was attributed to the allele contributed by the O. nivara parent. Candidate genes were identified in 37 of the QTL regions. This study validated SNV markers that can be used for mapping in populations with a wild species parent. In the future, SNVs could be used for marker-assisted selection to incorporate desirable, novel alleles for stress resistance and yield improvement, identified in rice wild species like O. nivara into elite, adapted O. sativa varieties.     

Genome-wide analysis of across herd <Emphasis Type="Italic">F</Emphasis> <Subscript>st</Subscript> Heterogeneity in holsteinized cattle

To form a reference population necessary for genomic selection of dairy cattle, it is important to acquire information on the genetic diversity of the base population. Our report is the first among the studies on breeding of farm animals to implement Wright’s F-statistics for this purpose. Genotyping of animals was performed using BovineSNP50 chip. In total, we genotyped 499 heifers from 13 breeding farms in the Leningrad region. We calculated Weir and Cockerham’s F_st estimate for all pairwise combinations of herds from breeding farms and the values obtained were in the range of 0.016–0.115 with the mean of 0.076 ± 0.002. Theoretical F_st values for the same pairwise combinations of herds were calculated using the ADMIXTURE program. These values were significantly (P < 0.05) higher than Weir and Cockerham’s F_st estimates and fell in the range of 0.063–0.136 with the mean of 0.100 ± 0.001. We discuss the reasons for this discrepancy between the two sets of F_st data. The obtained F_st values were used to identify reliable molecular-genetical differences between the herds. The ADMIXTURE program breaks the pool of 476 heifers into 16 subpopulations, the number of which is close to the number of herds used in the experiment. Results of the comparison between F_st values obtained using SNP markers with published data obtained on microsatellites are in support of the common opinion that microsatellite analysis results in underestimation of F_st values. On the whole, the obtained across-herd F_st values are in the range Fst data reported for cattle breeds. Results of comparison of F_st values with the data on the origin of bulls imported from different countries lead to the conclusion on the expediency of the use of F_st data to assess heterogeneity of the herds. Thus, we have demonstrated that use of F_st data provides the means to assess genetic diversity of cattle herds and is a necessary step in the formation of a reference population for dairy cattle.