Genetic Dissection of Haploid Male Fertility in Maize (Zea mays L.)

AbstractHaploid genome doubling is a key limiting step of haploid breeding in maize. Spontaneous restoration of haploid male fertility (HMF) provides a method by which costs can be saved and which does not require the use of toxic chemicals, in contrast to the artificial doubling process. To reveal the genetic basis of HMF, haploids were obtained from the offspring of 285 F2:3 families, derived from the cross Zheng58× K22. The F2:3 families were used as female donor and YHI-1 as the male inducer line. The rates of HMF from each family line were evaluated at two field sites over two planting seasons. Quantitative trait loci (QTL) for HMF were identified using a genetic linkage map containing 157 simple sequence repeat (SSR) markers. QTL for HMF displayed incomplete dominance. Transgressive segregation of haploids from F2:3 families was observed relative to haploids derived from the two parents of the mapping population. A total of nine QTL were detected, which were distributed on chromosomes 1, 3, 4, 7, and 8. Three QTL, qHMF3b, qHMF7a, and qHMF7b were detected in both locations, respectively. In our mapping population, HMF was controlled by three major QTL. These QTL could be useful to predict the ability of spontaneous haploid genome doubling in related breeding materials, and to accelerate the haploid breeding process by introgression or aggregation of those QTL.

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Impact of Spontaneous Haploid Genome Doubling in Maize Breeding

Plants ◽

10.3390/plants9030369 ◽

2020 ◽

Vol 9 (3) ◽

pp. 369 ◽

Cited By ~ 4

Author(s):

Nicholas A. Boerman ◽

Ursula K. Frei ◽

Thomas Lübberstedt

Keyword(s):

Genome Editing ◽

Male Fertility ◽

Gene Pyramiding ◽

Haploid Genome ◽

Systematic Design ◽

Maize Breeding ◽

Genome Doubling ◽

New Methodologies ◽

Marker Assisted Backcrossing ◽

The Impact

Doubled haploid (DH) technology has changed the maize-breeding landscape in recent years. Traditionally, DH production requires the use of chemical doubling agents to induce haploid genome doubling and, subsequently, male fertility. These chemicals can be harmful to humans and the plants themselves, and typically result in a doubling rate of 10%–30%. Spontaneous genome doubling and male fertility of maize haploids, without using chemical doubling agents, have been observed to a limited extent, for nearly 70 years. Rates of spontaneous haploid genome doubling (SHGD) have ranged from less than 5% to greater than 50%. Recently, there has been increased interest to forgo chemical treatment and instead utilize this natural method of doubling. Genetic-mapping studies comprising worldwide germplasm have been conducted. Of particular interest has been the detection of large-effect quantitative trait loci (QTL) affecting SHGD. Having a single large-effect QTL with an additive nature provides flexibility for the method of introgression, such as marker-assisted backcrossing, marker-assisted gene pyramiding, and systematic design. Moreover, it allows implementation of new methodologies, such as haploid-inducer mediated genome editing (HI-edit) and promotion of alleles by genome editing. We believe the use of SHGD can further enhance the impact of DH technology in maize.

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Genetic dissection of haploid male fertility in maize ( Zea mays L.)

Plant Breeding ◽

10.1111/pbr.12688 ◽

2019 ◽

Vol 138 (3) ◽

pp. 259-265 ◽

Cited By ~ 8

Author(s):

Jiwei Yang ◽

Yanzhi Qu ◽

Qiong Chen ◽

Jihua Tang ◽

Thomas Lübberstedt ◽

...

Keyword(s):

Zea Mays ◽

Male Fertility ◽

Zea Mays L ◽

Genetic Dissection ◽

Haploid Male

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Genetic Mapping by Sequencing More Precisely Detects Loci Responsible for Anaerobic Germination Tolerance in Rice

Plants ◽

10.3390/plants10040705 ◽

2021 ◽

Vol 10 (4) ◽

pp. 705

Author(s):

John Carlos I. Ignacio ◽

Maricris Zaidem ◽

Carlos Casal ◽

Shalabh Dixit ◽

Tobias Kretzschmar ◽

...

Keyword(s):

Genetic Basis ◽

Snp Markers ◽

Nucleotide Polymorphism ◽

Rice Varieties ◽

Single Nucleotide ◽

Genotyping Platform ◽

Anaerobic Germination ◽

Direct Seeded ◽

Mapping By Sequencing ◽

Simple Sequence

Direct seeded rice (DSR) is a mainstay for planting rice in the Americas, and it is rapidly becoming more popular in Asia. It is essential to develop rice varieties that are suitable for this type of production system. ASD1, a landrace from India, possesses several traits desirable for direct-seeded fields, including tolerance to anaerobic germination (AG). To map the genetic basis of its tolerance, we examined a population of 200 F2:3 families derived from a cross between IR64 and ASD1 using the restriction site-associated DNA sequencing (RAD-seq) technology. This genotyping platform enabled the identification of 1921 single nucleotide polymorphism (SNP) markers to construct a high-resolution genetic linkage map with an average interval of 0.9 cM. Two significant quantitative trait loci (QTLs) were detected on chromosomes 7 and 9, qAG7 and qAG9, with LOD scores of 7.1 and 15.0 and R2 values of 15.1 and 29.4, respectively. Here, we obtained more precise locations of the QTLs than traditional simple sequence repeat and low-density SNP genotyping methods and may help further dissect the genetic factors of these QTLs.

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Major locus for spontaneous haploid genome doubling detected by a case–control GWAS in exotic maize germplasm

Theoretical and Applied Genetics ◽

10.1007/s00122-021-03780-8 ◽

2021 ◽

Author(s):

Anderson Luiz Verzegnazzi ◽

Iara Gonçalves dos Santos ◽

Matheus Dalsente Krause ◽

Matthew Hufford ◽

Ursula Karoline Frei ◽

...

Keyword(s):

Case Control ◽

Haploid Genome ◽

Major Locus ◽

Genome Doubling ◽

Maize Germplasm

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Using spontaneous haploid genome doubling to access favorable alleles in exotic maize (Zea mays L.) germplasm

10.31274/etd-20200624-32 ◽

2020 ◽

Author(s):

Anderson Luiz Verzegnazzi

Keyword(s):

Zea Mays ◽

Zea Mays L ◽

Haploid Genome ◽

Favorable Alleles ◽

Genome Doubling

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Genetic disorders and spermatogenesis

Reproduction Fertility and Development ◽

10.1071/r98029 ◽

1998 ◽

Vol 10 (1) ◽

pp. 97 ◽

Cited By ~ 34

Author(s):

R. I. McLachlan ◽

C. Mallidis ◽

K. Ma ◽

S. Bhasin ◽

D. M. de Kretser

Keyword(s):

Male Fertility ◽

Genetic Linkage ◽

Genetic Basis ◽

Genetic Disorders ◽

Genetic Regulation ◽

Testicular Development ◽

Paracrine Regulation ◽

Normal Spermatogenesis ◽

Cell Mitosis ◽

Spermatogenic Failure

Male infertility affects one man in twenty and a genetic basis seems likely in at least 30% of those men. Genetic regulation of fertility involves the inter-related processes of testicular development, spermatogenesis (involving germ cell mitosis, meiosis and spermatid maturation), and their endocrine and paracrine regulation. In regard to spermatogenesis, particular attention has been given to the Yq11 region, where some spermatogenesis genes (‘azoospermia factors’) appear to be located. Several candidate genes have been identified but have not been shown to have a defined or essential role in spermatogenesis. Microdeletions of Yq11 are found in ~15% of azoospermic or severely oligospermic men. The complexity of the genetic control of male fertility is demonstrated by the evidence for genes involved in spermatogenesis and sexual differentiation on the X chromosome and autosomes. Better understanding of the genetic regulation of normal spermatogenesis will provide new probes for clinical studies; however, at present the majority of spermatogenic failure remains without an identified genetic linkage. The advent of intracytoplasmic sperm injection permits fertility in many previously sterile men and presents the possibility of their transmission of infertility; appropriate counselling is required.

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Genetic dissection of yield-related traits and mid-parent heterosis for those traits in maize (Zea mays L.)

BMC Plant Biology ◽

10.1186/s12870-019-2009-2 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 4

Author(s):

Qiang Yi ◽

Yinghong Liu ◽

Xianbin Hou ◽

Xiangge Zhang ◽

Hui Li ◽

...

Keyword(s):

Genetic Basis ◽

Recombinant Inbred Lines ◽

Kernel Weight ◽

Genetic Dissection ◽

Hybrid Mapping ◽

Maize Breeding ◽

Phenotypic Variations ◽

Selection For ◽

Genomic Regions ◽

Mapping Populations

Abstract Background Utilization of heterosis in maize could be critical in maize breeding for boosting grain yield. However, the genetic architecture of heterosis is not fully understood. To dissect the genetic basis of yield-related traits and heterosis in maize, 301 recombinant inbred lines derived from 08 to 641 × YE478 and 298 hybrids from the immortalized F2 (IF2) population were used to map quantitative trait loci (QTLs) for nine yield-related traits and mid-parent heterosis. Results We observed 156 QTLs, 28 pairs of loci with epistatic interaction, and 10 significant QTL × environment interactions in the inbred and hybrid mapping populations. The high heterosis in F1 and IF2 populations for kernel weight per ear (KWPE), ear weight per ear (EWPE), and kernel number per row (KNPR) matched the high percentages of QTLs (over 50%) for those traits exhibiting overdominance, whereas a notable predominance of loci with dominance effects (more than 70%) was observed for traits that show low heterosis such as cob weight per ear (CWPE), rate of kernel production (RKP), ear length (EL), ear diameter (ED), cob diameter, and row number (RN). The environmentally stable QTL qRKP3–2 was identified across two mapping populations, while qKWPE9, affecting the trait mean and the mid-parent heterosis (MPH) level, explained over 18% of phenotypic variations. Nine QTLs, qEWPE9–1, qEWPE10–1, qCWPE6, qEL8, qED2–2, qRN10–1, qKWPE9, qKWPE10–1, and qRKP4–3, accounted for over 10% of phenotypic variation. In addition, QTL mapping identified 95 QTLs that were gathered together and integrated into 33 QTL clusters on 10 chromosomes. Conclusions The results revealed that (1) the inheritance of yield-related traits and MPH in the heterotic pattern improved Reid (PA) × Tem-tropic I (PB) is trait-dependent; (2) a large proportion of loci showed dominance effects, whereas overdominance also contributed to MPH for KNPR, EWPE, and KWPE; (3) marker-assisted selection for markers at genomic regions 1.09–1.11, 2.04, 3.08–3.09, and 10.04–10.05 contributed to hybrid performance per se and heterosis and were repeatedly reported in previous studies using different heterotic patterns is recommended.

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QTL Mapping and Prediction of Haploid Male Fertility Traits in Maize (Zea mays L.)

Plants ◽

10.3390/plants9070836 ◽

2020 ◽

Vol 9 (7) ◽

pp. 836

Author(s):

Yanyan Jiao ◽

Jinlong Li ◽

Wei Li ◽

Ming Chen ◽

Mengran Li ◽

...

Keyword(s):

Male Fertility ◽

Large Scale ◽

Chromosome Doubling ◽

Limiting Factor ◽

Phenotypic Variance ◽

Haploid Male ◽

Haploid Population ◽

Trait Locus ◽

Dh Lines ◽

Major Qtl

Chromosome doubling of maize haploids is a bottleneck in the large-scale application of doubled haploid (DH) technology. Spontaneous chromosome doubling (SCD) of haploid has been taken as an important method in the production of DH lines and low haploid male fertility (HMF) is a main limiting factor for the use of SCD. To study its genetic basis, haploids of 119 DH lines derived from a cross between inbred lines Qi319 and Chang7-2 were used to map the quantitative trait locus (QTL) contributing to HMF. Three traits including anther emergence rate (AER), anther emergence score (AES) and pollen production score (PPS) of the haploid population were evaluated at two locations. The heritability of the three traits ranged from 0.70 to 0.81. The QTL contributing to AER, AES and PPS were identified on the chromosomes 1, 2, 3, 4, 5, 7, 9 and 10. Five major QTL, qAER5-1, qAER5-2, qAES3, qPPS1 and qPPS5, were found and each could explain more than 15% of the phenotypic variance at least in one environment. Two major QTL, qPPS1 and qPPS5, and two minor QTL, qAES2 and qAER3, were repeatedly detected at both locations. To increase the application efficiency of HMF in breeding programs, genomic prediction for the three traits were carried out with ridge regression best linear unbiased prediction (rrBLUP) and rrBLUP adding QTL effects (rrBLUP-QTL). The prediction accuracies of rrBLUP-QTL were significantly higher than that by rrBLUP for three traits (p < 0.001), which indirectly indicates these QTL were effective. The prediction accuracies for PPS were 0.604 (rrBLUP) and 0.703 (rrBLUP-QTL) across both locations, which were higher than that of AER and AES. Overall, this study provides important information to understand the genetic architecture of SCD of maize haploids.

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