Transposable elements: multifunctional players in the plant genome

Transposable elements (TEs) are indispensable components of eukaryotic genomes that play diverse roles in gene regulation, recombination, and environmental adaptation. Their ability to mobilize within the genome leads to gene expression and DNA structure changes. TEs serve as valuable markers for genetic and evolutionary studies and facilitate genetic mapping and phylogenetic analysis. They also provide insight into how organisms adapt to a changing environment by promoting gene rearrangements that lead to new gene combinations. These repetitive sequences significantly impact genome structure, function and evolution. This review takes a comprehensive look at TEs and their applications in biotechnology, particularly in the context of plant biology, where they are now considered "genomic gold" due to their extensive functionalities. The article addresses various aspects of TEs in plant development, including their structure, epigenetic regulation, evolutionary patterns, and their use in gene editing and plant molecular markers. The goal is to systematically understand TEs and shed light on their diverse roles in plant biology.

MegaSSR: a web server for large scale microsatellite identification, classification, and marker development

Next-generation sequencing technologies have opened new avenues for using genomic data to study and develop molecular markers and improve genetic resources. Simple Sequence Repeats (SSRs) as genetic markers are increasingly used in molecular diversity and molecular breeding programs that require bioinformatics pipelines to analyze the large amounts of data. Therefore, there is an ongoing need for online tools that provide computational resources with minimal effort and maximum efficiency, including automated development of SSR markers. These tools should be flexible, customizable, and able to handle the ever-increasing amount of genomic data. Here we introduce MegaSSR (https://bioinformatics.um6p.ma/MegaSSR), a web server and a standalone pipeline that enables the design of SSR markers in any target genome. MegaSSR allows users to design targeted PCR-based primers for their selected SSR repeats and includes multiple tools that initiate computational pipelines for SSR mining, classification, comparisons, PCR primer design, in silico PCR validation, and statistical visualization. MegaSSR results can be accessed, searched, downloaded, and visualized with user-friendly web-based tools. These tools provide graphs and tables showing various aspects of SSR markers and corresponding PCR primers. MegaSSR will accelerate ongoing research in plant species and assist breeding programs in their efforts to improve current genomic resources.

AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data

Multiple sequence alignment (MSA) is essential for understanding genetic variations controlling phenotypic traits in all living organisms. The post-analysis of MSA results is a difficult step for researchers who do not have programming skills. Especially those working with large scale data and looking for potential variations or variable sample groups. Generating bi-allelic data and the comparison of wild and alternative gene forms are important steps in population genetics. Customising MSA visualisation for a single page view is difficult, making viewing potential indels and variations challenging. There are currently no bioinformatics tools that permit post-MSA analysis, in which data on gene and single nucleotide scales could be combined with gene annotations and used for cluster analysis. We introduce "AlignStatPlot," a new R package and online tool that is well-documented and easy-to use for MSA and post-MSA analysis. This tool performs both traditional and cutting-edge analyses on sequencing data and generates new visualisation methods for MSA results. When compared to currently available tools, AlignStatPlot provides a robust ability to handle and visualise diversity data, while the online version will save time and encourage researchers to focus on explaining their findings. It is a simple tool that can be used in conjunction with population genetics software.

MegaLTR: a web server and standalone pipeline for detecting and annotating LTR-retrotransposons in plant genomes

LTR-retrotransposons (LTR-RTs) are a class of RNA-replicating transposon elements (TEs) that can alter genome structure and function by moving positions, repositioning genes, shifting exons, and causing chromosomal rearrangements. LTR-RTs are widespread in many plant genomes and constitute a significant portion of the genome. Their movement and activity in eukaryotic genomes can provide insight into genome evolution and gene function, especially when LTR-RTs are located near or within genes. Building the redundant and non-redundant LTR-RTs libraries and their annotations for species lacking this resource requires extensive bioinformatics pipelines and expensive computing power to analyze large amounts of genomic data. This increases the need for online services that provide computational resources with minimal overhead and maximum efficiency. Here, we present MegaLTR as a web server and standalone pipeline that detects intact LTR-RTs at the whole-genome level and integrates multiple tools for structure-based, homologybased, and de novo identification, classification, annotation, insertion time determination, and LTR-RT gene chimera analysis. MegaLTR also provides statistical analysis and visualization with multiple tools and can be used to accelerate plant species discovery and assist breeding programs in their efforts to improve genomic resources. We hope that the development of online services such as MegaLTR, which can analyze large amounts of genomic data, will become increasingly important for the automated detection and annotation of LTR-RT elements.

Identification, characterization, and validation of NBS-encoding genes in grass pea

Grass pea is a promising crop with the potential to provide food and fodder, but its genomics has not been adequately explored. Identifying genes for desirable traits, such as drought tolerance and disease resistance, is critical for improving the plant. Grass pea currently lacks known R-genes, including the nucleotide-binding site-leucine-rich repeat (NBS-LRR) gene family, which plays a key role in protecting the plant from biotic and abiotic stresses. In our study, we used the recently published grass pea genome and available transcriptomic data to identify 274 NBS-LRR genes. The evolutionary relationships between the classified genes on the reported plants and LsNBS revealed that 124 genes have TNL domains, while 150 genes have CNL domains. All genes contained exons, ranging from 1 to 7. Ten conserved motifs with lengths ranging from 16 to 30 amino acids were identified. We found TIR-domain-containing genes in 132 LsNBSs, with 63 TIR-1 and 69 TIR-2, and RX-CCLike in 84 LsNBSs. We also identified several popular motifs, including P-loop, Uup, kinase-GTPase, ABC, ChvD, CDC6, Rnase_H, Smc, CDC48, and SpoVK. According to the gene enrichment analysis, the identified genes undergo several biological processes such as plant defense, innate immunity, hydrolase activity, and DNA binding. In the upstream regions, 103 transcription factors were identified that govern the transcription of nearby genes affecting the plant excretion of salicylic acid, methyl jasmonate, ethylene, and abscisic acid. According to RNA-Seq expression analysis, 85% of the encoded genes have high expression levels. Nine LsNBS genes were selected for qPCR under salt stress conditions. The majority of the genes showed upregulation at 50 and 200 μM NaCl. However, LsNBS-D18, LsNBS-D204, and LsNBS-D180 showed reduced or drastic downregulation compared to their respective expression levels, providing further insights into the potential functions of LsNBSs under salt stress conditions. They provide valuable insights into the potential functions of LsNBSs under salt stress conditions. Our findings also shed light on the evolution and classification of NBS-LRR genes in legumes, highlighting the potential of grass pea. Further research could focus on the functional analysis of these genes, and their potential use in breeding programs to improve the salinity, drought, and disease resistance of this important crop.

A large-scale assessment of the quality of plant genome assemblies using the LTR assembly index

Recent advances in genome sequencing have led to an increase in the number of sequenced genomes. However, the presence of repetitive sequences complicates the assembly of plant genomes. The LTR assembly index (LAI) has recently been widely used to assess the quality of genome assembly, as a higher LAI is associated with a higher quality of assembly. Here, we assessed the quality of assembled genomes of 1664 plant and algal genomes using LAI and reported the results as data repository called PlantLAI (https://bioinformatics.um6p.ma/PlantLAI). A number of 55 117 586 pseudomolecules/scaffolds with a total length of 988.11 gigabase-pairs were examined using the LAI workflow. A total of 46 583 551 accurate LTR-RTs were discovered, including 2 263 188 Copia, 2 933 052 Gypsy, and 1 387 311 unknown superfamilies. Consequently, only 1136 plant genomes are suitable for LAI calculation, with values ranging from 0 to 31.59. Based on the quality classification system, 476 diploid genomes were classified as draft, 472 as reference, and 135 as gold genomes. We also provide a free webtool to calculate the LAI of newly assembled genomes and the ability to save the result in the repository. The data repository is designed to fill in the gaps in the reported LAI of existing genomes, while the webtool is designed to help researchers calculate the LAI of their newly sequenced genomes.

Genome-wide identification, characterization, and validation of the bHLH transcription factors in grass pea

Background: The basic helix-loop-helix (bHLH) transcription factor is a vital component in plant biology, with a significant impact on various aspects of plant growth, cell development, and physiological processes. Grass pea is a vital agricultural crop that plays a crucial role in food security. However, the lack of genomic information presents a major challenge to its improvement and development. This highlights the urgency for deeper investigation into the function of bHLH genes in grass pea to improve our understanding of this important crop.

Results: The identification of bHLH genes in grass pea was performed on a genome-wide scale using genomic and transcriptomic screening. A total of 122 genes were identified as having conserved bHLH domains and were functionally and fully annotated. The LsbHLH proteins could be classified into 18 subfamilies. There were variations in intron-exon distribution, with some genes lacking introns. The cis-element and gene enrichment analyses showed that the LsbHLHs were involved in various plant functions, including response to phytohormones, flower and fruit development, and anthocyanin synthesis. A total of 28 LsbHLHs were found to have cis-elements associated with light response and endosperm expression biosynthesis. Ten conserved motifs were identified across the LsbHLH proteins. The protein-protein interaction analysis showed that all LsbHLH proteins interacted with each other, and nine of them displayed high levels of interaction. RNA-seq analysis of four Sequence Read Archive (SRA) experiments showed high expression levels of LsbHLHs across a range of environmental conditions. Seven highly expressed genes were selected for qPCR validation, and their expression patterns in response to salt stress showed that LsbHLHD4, LsbHLHD5, LsbHLHR6, LsbHLHD8, LsbHLHR14, LsbHLHR68, and LsbHLHR86 were all expressed in response to salt stress.

Conclusion: The study provides an overview of the bHLH family in the grass pea genome and sheds light on the molecular mechanisms underlying the growth and evolution of this crop. The report covers the diversity in gene structure, expression patterns, and potential roles in regulating plant growth and response to environmental stress factors in grass pea. The identified candidate LsbHLHs could be utilized as a tool to enhance the resilience and adaptation of grass pea to environmental stress.

PlantLTRdb: An interactive database for 195 plant species LTR-retrotransposons

LTR-retrotransposons (LTR-RTs) are a large group of transposable elements that replicate through an RNA intermediate and alter genome structure. The activities of LTR-RTs in plant genomes provide helpful information about genome evolution and gene function. LTR-RTs near or within genes can directly alter gene function. This work introduces PlantLTRdb, an intact LTR-RT database for 195 plant species. Using homology- and de novo structure-based methods, a total of 150.18 Gbp representing 3,079,469 pseudomolecules/scaffolds were analyzed to identify, characterize, annotate LTR-RTs, estimate insertion ages, detect LTR-RT-gene chimeras, and determine nearby genes. Accordingly, 520,194 intact LTR-RTs were discovered, including 29,462 autonomous and 490,732 nonautonomous LTR-RTs. The autonomous LTR-RTs included 10,286 Gypsy and 19,176 Copia, while the nonautonomous were divided into 224,906 Gypsy, 218,414 Copia, 1,768 BARE-2, 3,147 TR-GAG and 4,2497 unknown. Analysis of the identified LTR-RTs located within genes showed that a total of 36,236 LTR-RTs were LTR-RT-gene chimeras and 11,619 LTR-RTs were within pseudo-genes. In addition, 50,026 genes are within 1 kbp of LTR-RTs, and 250,587 had a distance of 1 to 10 kbp from LTR-RTs. PlantLTRdb allows researchers to search, visualize, BLAST and analyze plant LTR-RTs. PlantLTRdb can contribute to the understanding of structural variations, genome organization, functional genomics, and the development of LTR-RT target markers for molecular plant breeding. PlantLTRdb is available at https://bioinformatics.um6p.ma/PlantLTRdb.

TEMM: A Curated Data Resource for Transposon Element-Based Molecular Markers in Plants

Transposon elements (TEs) are mobile genetic elements that can insert themselves into new locations and modify the plant genome. In recent years, they have been used as molecular markers in plant breeding programs. TE-based molecular markers (TE-markers) are divided into two categories depending on the transcription mechanism of the TEs. The first category is retrotransposon-based molecular markers, which include RBIP, IRAP, REMAP, and iPBS. The second group is DNA-based-TE-markers, which include MITE, TE-junction, and CACTA TE-markers. These markers are a good tool for studying genetic diversity and can provide information on plants' phylogenetic and evolutionary history. They can help improve breeding programs to increase agronomic traits and develop new varieties. Overall, TE-markers play an important role in plant genetics and plant breeding and contribute to a better understanding of plant biology. Here, we present TEMM, a curated data resource for TE-markers in plants. Relevant research articles were screened to collect primer sequences and related information. Only articles containing primer sequences are added to the present data resource. TEMM contains 784 primers with their associated PCR reaction programs and their applications in various crops. These include 203 IPBS, 191 RBIP, 140 IRAP, 78 TE-junction, 76 IRAPS, 47 RBIP-IRAP, 16 IRAP-REMAP, 12 REMAP, 12 REMA-IRAP, 6 REMA, and 3 ISBP primers. The data resource is freely available at https://bioinformatics.um6p.ma/TEMM .

CicerSpTEdb2.0: An Upgrade of Cicer Species Transposable Elements Database

To meet the critical demand of LTR-RTs data-driven research, we updated the CicerSpTEdb database to version 2.0, which includes more accurate intact LTR-RT elements with annotation of internal domains. We also added the ability to BLAST against TEs of Cicer species. As a result, 3701 intact LTR-RTs were detected in the studied genomes, including 2840 Copia and 861 Gypsy elements. Of the 3701 intact LTR-RTs, 588 were in C. arietinum, including 475 Copia and 113 Gypsy. While 1373 were detected in C. reticulatum, including 1041 Copia and 332 Gypsy. Furthermore, 1740 were found in C. echinospermum, including 1324 Copia and 416 Gypsy. Based on LTR-RT clades, the analysis classified the 3701 identified intact LTR-RTs in the studied genomes as Ale (850), SIRE (740), unknown (455), Ikeros (323), Reina (290), Tork (290), Ivana (282), Tekay (197), Athila (128), TAR (99), CRM (31), and Ogre (16) elements. The newly updated CicerSpTEdb2.0 will be a valuable resource for TEs of Cicer species and their comparative genomics.Database URL: http://cicersptedb.easyomics.org/index.php.

PltRNAdb: Plant transfer RNA database

Transfer RNAs (tRNAs) are intermediate-sized non-coding RNAs found in all organisms that help translate messenger RNA into protein. Recently, the number of sequenced plant genomes has increased dramatically. The availability of this extensive data greatly accelerates the study of tRNAs on a large scale. Here, 8,768,261 scaffolds/chromosomes containing 229,093 giga-base pairs representing whole-genome sequences of 256 plant species were analyzed to identify tRNA genes. As a result, 331,242 nuclear, 3,216 chloroplast, and 1,467 mitochondrial tRNA genes were identified. The nuclear tRNA genes include 275,134 tRNAs decoding 20 standard amino acids, 1,325 suppressor tRNAs, 6,273 tRNAs with unknown isotypes, 48,475 predicted pseudogenes, and 37,873 tRNAs with introns. Efforts also extended to the creation of PltRNAdb (https://bioinformatics.um6p.ma/PltRNAdb/index.php), a data source for tRNA genes from 256 plant species. PltRNAdb website allows researchers to search, browse, visualize, BLAST, and download predicted tRNA genes. PltRNAdb will help improve our understanding of plant tRNAs and open the door to discovering the unknown regulatory roles of tRNAs in plant genomes.

CicerSpTEdb: A web-based database for high-resolution genome-wide identification of transposable elements in Cicer species

Recently, Cicer species have experienced increased research interest due to their economic importance, especially in genetics, genomics, and crop improvement. The Cicer arietinum, Cicer reticulatum, and Cicer echinospermum genomes have been sequenced and provide valuable resources for trait improvement. Since the publication of the chickpea draft genome, progress has been made in genome assembly, functional annotation, and identification of polymorphic markers. However, work is still needed to identify transposable elements (TEs) and make them available for researchers. In this paper, we present CicerSpTEdb, a comprehensive TE database for Cicer species that aims to improve our understanding of the organization and structural variations of the chickpea genome. Using structure and homology-based methods, 3942 C. echinospermum, 3579 C. reticulatum, and 2240 C. arietinum TEs were identified. Comparisons between Cicer species indicate that C. echinospermum has the highest number of LTR-RT and hAT TEs. C. reticulatum has more Mutator, PIF Harbinger, Tc1 Mariner, and CACTA TEs, while C. arietinum has the highest number of Helitron. CicerSpTEdb enables users to search and visualize TEs by location and download their results. The database will provide a powerful resource that can assist in developing TE target markers for molecular breeding and answer related biological questions. Database URL: http://cicersptedb.easyomics.org/index.php.

PlantPathMarks (PPMdb): an interactive hub for pathways-based markers in plant genomes

Over the past decade, the problem of finding an efficient gene-targeting marker set or signature for plant trait characterization has remained challenging. Many databases focusing on pathway mining have been released with one major deficiency, as they lack to develop marker sets that target only genes controlling a specific pathway or certain biological process. Herein, we present the PlantPathMarks database (PPMdb) as a comprehensive, web-based, user-friendly, and interactive hub for pathway-based markers in plant genomes. Based on our newly developed pathway gene set mining approach, two novel pathway-based marker systems called pathway gene-targeted markers (PGTMs) and pathway microsatellite-targeted markers (PMTMs) were developed as a novel class of annotation-based markers. In the PPMdb database, 2,690,742 pathway-based markers reflecting 9,894 marker panels were developed across 82 plant genomes. The markers include 691,555 PGTMs and 1,999,187 PMTMs. Across these genomes, 165,378 enzyme-coding genes were mapped against 126 KEGG reference pathway maps. PPMdb is furnished with three interactive visualization tools (Map Browse, JBrowse and Species Comparison) to visualize, map, and compare the developed markers over their KEGG reference pathway maps. All the stored marker panels can be freely downloaded. PPMdb promises to create a radical shift in the paradigm of the area of molecular marker research. The use of PPMdb as a mega-tool represents an impediment for non-bioinformatician plant scientists and breeders. PPMdb is freely available at http://ppmdb.easyomics.org.

VfODB: a comprehensive database of ESTs, EST-SSRs, mtSSRs, microRNA-target markers and genetic maps in Vicia faba

Faba bean (Vicia faba) is an essential food and fodder legume crop worldwide due to its high content of proteins and fibres. Molecular markers tools represent an invaluable tool for faba bean breeders towards rapid crop improvement. Although there have historically been few V. faba genome resources available, several transcriptomes and mitochondrial genome sequence data have been released. These data in addition to previously developed genetic linkage maps represent a great resource for developing functional markers and maps that can accelerate the faba bean breeding programmes. Here, we present the Vicia faba Omics database (VfODB) as a comprehensive database integrating germplasm information, expressed sequence tags (ESTs), expressed sequence tags-simple sequence repeats (EST-SSRs), and mitochondrial-simple sequence repeats (mtSSRs), microRNA-target markers and genetic maps in faba bean. In addition, KEGG pathway-based markers and functional maps are integrated as a novel class of annotation-based markers/maps. Collectively, we developed 31 536 EST markers, 9071 EST-SSR markers and 3023 microRNA-target markers based on V. faba RefTrans V2 mining. By mapping 7940 EST and 2282 EST-SSR markers against the KEGG pathways database we successfully developed 107 functional maps. Also, 40 mtSSR markers were developed based on mitochondrial genome mining. On the data curation level, we retrieved 3461 markers representing 12 types of markers (CAPS, EST, EST-SSR, Gene marker, INDEL, Isozyme, ISSR, RAPD, SCAR, RGA, SNP and SSR), which mapped across 18 V. faba genetic linkage maps. VfODB provides two user-friendly tools to identify, classify SSR motifs and in silico amplify their targets. VfODB can serve as a powerful database and helpful platform for faba bean research community as well as breeders interested in Genomics-Assisted Breeding.

SSRome: an integrated database and pipelines for exploring microsatellites in all organisms

Over the past decade, many databases focusing on microsatellite mining on a genomic scale were released online with at least one of the following major deficiencies: (i) lacking the classification of microsatellites as genic or non-genic, (ii) not comparing microsatellite motifs at both genic and non-genic levels in order to identify unique motifs for each class or (iii) missing SSR marker development. In this study, we have developed ‘SSRome’ as a web-based, user-friendly, comprehensive and dynamic database with pipelines for exploring microsatellites in 6533 organisms. In the SSRome database, 158 million microsatellite motifs are identified across all taxa, in addition to all the mitochondrial and chloroplast genomes and expressed sequence tags available from NCBI. Moreover, 45.1 million microsatellite markers were developed and classified as genic or non-genic. All the stored motif and marker datasets can be downloaded freely. In addition, SSRome provides three user-friendly tools to identify, classify and compare motifs on either a genome- or transcriptome-wide scale. With the implementation of PHP, HTML and JavaScript, users can upload their data for analysis via a user-friendly GUI. SSRome represents a powerful database and mega-tool that will assist researchers in developing and dissecting microsatellite markers on a high-throughput scale.

Efficient CRISPR/Cas9-Mediated Genome Editing Using a Chimeric Single-Guide RNA Molecule

The CRISPR/Cas9 system has been applied in diverse eukaryotic organisms for targeted mutagenesis. However, targeted gene editing is inefficient and requires the simultaneous delivery of a DNA template for homology-directed repair (HDR). Here, we used CRISPR/Cas9 to generate targeted double-strand breaks and to deliver an RNA repair template for HDR in rice (Oryza sativa). We used chimeric single-guide RNA (cgRNA) molecules carrying both sequences for target site specificity (to generate the double-strand breaks) and repair template sequences (to direct HDR), flanked by regions of homology to the target. Gene editing was more efficient in rice protoplasts using repair templates complementary to the non-target DNA strand, rather than the target strand. We applied this cgRNA repair method to generate herbicide resistance in rice, which showed that this cgRNA repair method can be used for targeted gene editing in plants. Our findings will facilitate applications in functional genomics and targeted improvement of crop traits.

Flock dynamics of desert Barki sheep in relation to age structure

Reproduction data of 8689 ewe records spread over 40 years (from 1960 to 2000) representing 2952 breeding Barki ewes were used in this study. The flock belonged to the Desert Research Center in Egypt. Flock dynamics of nine age groups (2-10 yrs) were assessed. Two parameters were used to evaluate flock dynamics, net reproduction rate (R(o)) (number of ewe- lambs reaching joining age and produced by each ewe during its lifetime in the flock) and intrinsic rate of increase (r(m)) (flock growth when no resource is limiting). Age of ewe had a highly significant (P < 0.01) effect on number of ewes lambing per ewe joined (E(PJ)), number of lambs born per ewe joined (L(BJ)), number of lambs weaned per ewe joined (L(WJ)) and number of ewe lambs reaching joining age per ewe joined (L(EJ.J)). All estimates tended to increase with dams age up to four years and decreased thereafter. The results of R(o) and r(m) showed that the studied flock must consist of 5 age groups to maintain its size and replace itself. It may be recommended to cull the breeding ewe at the age of 6 years to accelerate genetic improvement.

Cytogenetic profile of Down syndrome in Alexandria, Egypt

During 1992-2001, 673 Down syndrome patients were referred to the Department of Human Genetics in Alexandria. Regular (free) trisomy 21 constituted 95.4% of cases; Robertsonian translocation 2.7%; and mosaicism 0.7%. In 8 cases, regular trisomy 21 was associated with structural or numerical chromosome anomalies. Translocation was parentally inherited for 33.3% of cases and maternal transmission was twice as common as paternal. Two translocated Down syndrome fetuses were diagnosed prenatally in a t(14;21) carrier mother. Mean maternal age was high in regular trisomy 21 (38.2 years) but not in translocation (25.3 years). There was an excess of males in all groups except the mosaic group where the male:female ratio was 0.67. Cytogenetic investigations assist in patient management and family counselling.

Consanguinity and advanced maternal age as risk factors for reproductive losses in Alexandria, Egypt

BACKGROUND

Consanguinity has been a long-standing social habit among Egyptians. Estimates of consanguinity ratios in different parts of Egypt ranged from 29 to 50%. This study aimed at delineating the role of consanguinity and advanced maternal age on reproductive losses in Alexandria, Egypt.

METHODS

A case-control study, on 730 couples with history of reproductive losses and 2,081 normal couples, was done during the period October, 1998 until August, 2000.

RESULTS

Of the 730 couples with reproductive losses, consanguinity frequency was 68.8% with 56.2% first cousins. Prenatal loss and infant deaths were highly encountered among consanguineous marriages (p < 0.0001). In a multivariate logistic regression analysis, consanguinity between couples increased the relative risk of repeated abortion (OR: 3.95; 95% CI: 3.04-5.14), stillbirths (OR: 10.6; 95% CI: 6.7-17.0), neonatal death (OR: 17.2; 95% CI: 10.8-27.3), post-neonatal death (OR: 14.5; 95% CI: 10.6-19.9) and total reproductive losses (OR: 8.3; 95% CI: 6.9-10.1). A positive association was found between advanced maternal age and repeated abortion (OR: 3.19; 95% CI: 2.04-4.97) as well as total reproductive losses (OR: 2.37; 95% CI: 1.74-3.2).

CONCLUSION

This study, the largest-reported case-control study on reproductive losses in Alexandria, strongly suggests that consanguinity may play a major role in the high rates of prenatal and infant mortality while advanced maternal age has a significant role in the causation of repeated abortion, and they must be taken into account for genetic counseling in Egypt. Because of the possibility of controlling, the study gives clear indications for prevention.

Risk factors for congenital heart diseases in Alexandria, Egypt

A matched case control study has been conducted in the children's hospitals in Alexandria, Egypt, during 2 years-period, aiming at investigating the risk factors for the occurrence of congenital heart diseases. Our results showed that the significant risk factors for developing any type of congenital heart disease and ventricular septal defects were: older paternal age at birth, positive consanguinity, positive family history, female sex hormones, irradiation, hazardous maternal occupation, diabetes mellitus and suburban or rural residence. However, some environmental/teratogenic factors were not implicated in the etiology of atrial septal defects or pulmonary stenosis. These findings strongly suggest that environmental factors vary according to the specific type of congenital heart disease. This study emphasizes on the need to instruct the public about the importance of pre-marital counseling and the deleterious effects of various teratogens in the environment.

Major birth defects among infants with Down syndrome in Alexandria, Egypt (1995-2000): trends and risk factors

We evaluated the hypothesis that the trisomy 21 genome interacts with environmental factors during early pregnancy to increase the risk for birth anomalies in Down syndrome infants in Alexandria, Egypt. A case-control study on 514 infants with confirmed Down syndrome was carried out from 1 July 1995 to 30 June 2000. Genetic, biological, environmental and reproductive factors were analysed. Multiple logistic regression analysis showed the following factors to be independently associated with increased risk of congenital heart diseases among Down syndrome patients: parental consanguinity, maternal parents' consanguinity, mother's antibiotics use in pregnancy, oral contraceptive use and diabetes in the mother. Fever in the mother during pregnancy was associated with increased risk of gastrointestinal anomalies.

Congenital heart disease among school children in Alexandria, Egypt: an overview on prevalence and relative frequencies

A study was undertaken to determine the prevalence and relative frequencies of congenital heart diseases diagnosed by echocardiography among school children in Alexandria, Egypt. The study was conducted during a 1-year period (1 May 1995-1 May 1996) at the Students' Health Insurance Hospital, which is a referral center for all health insurance units, providing an echocardiography service. The prevalence of congenital heart diseases (CHD) among school children accounted for 1.01/1,000. There was a male predominance in cases of pulmonary stenosis and single ventricle, while in cases of patent ductus arteriosus, mitral valve prolapse, and partial atrioventricular canal there was a female predominance. The commonest cardiac defects were ventricular septal defects, pulmonary stenosis, and atrial septal defects. Pulmonary stenosis ranked the second commonest defect and is a peculiar finding in our Egyptian population. The mere presence of these cardiac defects in school children is an indicator of the poor quality of care provided to this growing childhood population.

Nucleolus organizer region heteromorphism in patients with Down syndrome and their parents

The study aimed to evaluate the role of nucleolus organizer region (NOR) heteromorphism as an etiological factor for parental nondisjunction in Down syndrome by comparing 25 patients affected by Down syndrome, and their parents with a control group of 80 non-affected Egyptians. All parents had normal karyotypes. The average modal number per parent of Ag-positive NORs was significantly higher in parents than controls. A significant difference in the size of the double-NOR variants (dNORs) was found. The mean maternal and paternal ages were significantly lower, with a significant increase in spontaneous abortions, for dNOR(+) couples compared with dNOR(-) couples.

Chromosome damage in passive smoker females

Current epidemiological data associates passive smoking with health hazards which not only affects the passive smoker but also affects the offsprings of passive smoker females. To determine the effect of cigarette smoke on the chromosomes of passive smoker females who were still in the childbearing age, the micronucleus (MN) frequency in 20 passive smoker females (spouse smoker) who had been exposed to cigarette smoke for at least 5 years was compared to the MN frequency in 20 control subjects (females with non-smoking spouse) all in the age group 31-39 years. The MN frequency among passive smoker female group ranged from 16-27 MN/500 cytokinesis blocked (CB) binucleated cell, with a mean of 21.1 +/- 3.7, while the MN frequency among the control group ranged from 3-11 MN/500 CB binucleated cell, with a mean of 8 +/- 1.7. The difference is statistically significant (t = 14.2, p < 0.01). Applying the correlation coefficient test between age and MN frequency, a weak positive though non significant correlation was found between age and MN frequency in the passive smoker female group (R = 0.11, p = 0.630) while an intermediate positive but still non significant correlation was found between age and MN frequency in the control (R = 0.26, p = 0.27). There was a positive correlation between the duration of exposure to cigarette smoke and the MN frequency, but this was statistically non significant (R = 0.33, p = 0.125). The results emphasize that mothers especially in the childbearing age should not be exposed to cigarette smoke to avoid its deleterious effects on their health thus preventing any harmful effect the smoke can have on their offsprings.

Genetic markers in coronary heart disease

Coronary heart disease (CHD) was found to aggregate in families. So the present study aimed at studying certain genetic markers (lipoproteins, ABO blood groups and dermatoglyphics), in a group of 60 patients with CHD and a control group to detect any significant association between such genetics markers in this disorder. This can throw light on its genetics. The study revealed significant and marked association of CHD with low alpha-lipoprotein, high pre-beta and beta-lipoproteins. No significant association wa detected with ABO phenotypes. Definite significant association was also detected between CHD and certain dermatoglyphics phenotypes including FTP, T-D count and palm patterns. These significant associations of CHD and these genetic markers "which are genetically determined" denoted strongly genetic etiology or at least genetic predisposition of CHD. Detection of such genetic markers may help in determination of risky individuals in population and families of CHD patients. This can help in prevention by proper genetic counseling.