Chromosome Structure Research Articles

Genome wide analysis of carotenoid cleavage oxygenases (CCO) gene family in Arachis hypogaea (peanut) under biotic stress

Carotenoid cleavage oxygenases (CCOs) enzymes play a vital role in plant growth and development through the synthesis of apocarotenoids and their derivative. These chemicals are necessary for flower and fruit coloration, as well as the manufacture of plant hormones such as abscisic acid (ABA) and strigolactones, which control a variety of physiological processes. The CCOs gene family has not been characterized in Arachis hypogaea. Genome mining of A. hypogaea identifies 24 AhCCO gene members. The AhCCO gene family was divided into two subgroups based on the recent study of the Arabidopsis thaliana CCO gene family classification system. Twenty-three AhCCO genes, constituting 95.8% of the total, were regulated by 29 miRNAs, underscoring the significance of microRNAs (miRNAs) in governing gene expression in peanuts. AhCCD19 is the only gene that lacks a miRNA target site. The physicochemical characteristics of CCO genes and their molecular weights and isoelectric points were studied further. The genes were then characterized regarding chromosomal distribution, structure, and promoter cis-elements. Light, stress development, drought stress, and hormone responsiveness were discovered to be associated with AhCCO genes, which can be utilized in developing more resilient crops. The investigation also showed the cellular location of the encoded proteins and discovered that the peanut carotenoid oxygenase gene family’s expansion was most likely the result of tandem, segmental, and whole-genome duplication events. The localization expresses the abundance of genes mostly in the cytoplasm and chloroplast. Expression analysis shows that AhCCD7 and AhCCD14 genes show the maximum expression in the apical meristem, lateral leaf, and pentafoliate leaf development, while AhNCED9 and AhNCED13 express in response to Aspergillus flavus resistance. This knowledge throws light on the evolutionary history of the AhCCO gene family and may help researchers better understand the molecular processes behind gene duplication occurrences in plants. An integrated synteny study was used to find orthologous carotenoid oxygenase genes in A. hypogaea, whereas Arabidopsis thaliana and Beta vulgaris were used as references for the functional characterization of peanut CCO genes. These studies provide a foundation for future research on the regulation and functions of this gene family. This information provides valuable insights into the genetic regulation of AhCCO genes. This technology could create molecular markers for breeding programs to develop new peanut lines.

Meiotic drive against chromosome fusions in butterfly hybrids

Species frequently differ in the number and structure of chromosomes they harbor, but individuals that are heterozygous for chromosomal rearrangements may suffer from reduced fitness. Chromosomal rearrangements like fissions and fusions can hence serve as a mechanism for speciation between incipient lineages, but their evolution poses a paradox. How can rearrangements get fixed between populations if heterozygotes have reduced fitness? One solution is that this process predominantly occurs in small and isolated populations, where genetic drift can override natural selection. However, fixation is also more likely if a novel rearrangement is favored by a transmission bias, such as meiotic drive. Here, we investigate chromosomal transmission distortion in hybrids between two wood white (Leptidea sinapis) butterfly populations with extensive karyotype differences. Using data from two different crossing experiments, we uncover that there is a transmission bias favoring the ancestral chromosomal state for derived fusions, a result that shows that chromosome fusions actually can fix in populations despite being counteracted by meiotic drive. This means that meiotic drive not only can promote runaway chromosome number evolution and speciation, but also that it can be a conservative force acting against karyotypic change and the evolution of reproductive isolation. Based on our results, we suggest a mechanistic model for why chromosome fusion mutations may be opposed by meiotic drive and discuss factors contributing to karyotype evolution in Lepidoptera.

Abstract PO3-08-03: Comparing prognosis for BRCA1, BRCA2 and non-BRCA breast cancer

Abstract BACKGROUND Breast Cancer (BC) is the most diagnosed malignancy and the leading cause of cancer death in women worldwide. Approximately 10% of BC cases are hereditary, and up to 25% have been linked to germline variants of specific genes. Germline pathogenic variants (PV) in BRCA1 and BRCA2 genes, which account for 20% of familial BC cases, are highly penetrant and are associated with Hereditary Breast/Ovarian Cancer Syndrome. BRCA1 e BRCA2 are tumor suppressor genes, which interact with recombination/DNA repair proteins in pathways that participate in preserving intact chromosome structure, particularly on the DNA double chain. So far, more than 7000 PV were identified on these genes, including the Portuguese founder mutation (BRCA2 c.156_157insAlu), which accounts for a great proportion of BC cases in our country. BRCA1 and BRCA2 associated BC have distinct clinicopathological characteristics. Long-term follow-up data related to prognosis and survival of either BRCA1 or BRCA2 BC patients is conflicting. Two large meta-analysis report worse overall survival for both, when compared to sporadic BC, whereas two other large meta-analysis concluded on worse overall survival only for BRCA1 patients, with similar overall survival for BRCA2 patients. One meta-analysis reports similar survival for both groups. We report the analysis of our cohort of BRCA1/2 BC patients included in our multidisciplinary program. Our goal is to compare clinicopathological characteristics and prognosis between BRCA1 and BRCA2 BC and with a control group without germline PV (non-BRCA). METHODS Prospective follow-up was proposed to patients with a diagnosed BRCA1/2 PV. This study included BRCA1/2 patients with BC as first cancer diagnosis, observed between January 2000-May 2023. A control group, with similar phenotype and histological characteristics, without germline PV was used. Statistical analysis was performed to compare characteristics and prognosis between BRCA1 and BRCA2 and non-BRCA BC. ANOVA test was used to compare the age at diagnosis; chi-square was used to compare categorical variables, such as histological subtype and clinical staging at diagnosis; log rank was used to compare the primary and secondary endpoints – overall survival (OS) and invasive disease-free survival (iDFS), respectively. RESULTS From 1077 individuals who tested positive for BRCA1/2 PV, 345 patients had BC, mostly with a BRCA2 PV (66.4%). A control group of 339 individuals was assembled. BRCA2 BC was mostly luminal, as non-BRCA patients, compared with BRCA1 (73.8% vs. 65.8% vs. 25.9%, p< 0.001) and BRCA1 was mostly triple negative, compared with non-BRCA and BRCA2 (65.5% vs. 16.5% vs. 13.3%, p< 0.001). For a mean follow-up time of 10.6 years (±5.6), recurrence was similar, with central nervous system (CNS) metastases being more frequent for BRCA1 (66.7% vs. 23.7% in non-BRCA, and vs. 9.1% in BRCA2, p< 0.001), and bone metastases were predominant for BRCA2 BC (57.5% vs 33.3% in non-BRCA, and vs. 9.1% in BRCA1, p=0.003). Non-BRCA BC showed longer time to recurrence (99.3 months vs. 76.5 months in BRCA2 BC, and vs. 61.2 months in BRCA1 BC, p=0.010), although longer OS was observed in BRCA2 BC (136.2 months vs. 121.7 months in BRCA1 BC, and vs. 113.2 months in non-BRCA, p< 0.001). Development of second primary tumors was more frequent in BRCA2 patients, compared with BRCA1 (20.9% vs 9.2%, p=0.002). DISCUSSION In the Portuguese population, BRCA2 BC is more frequent than BRCA1 BC. Relapses occurred later for BRCA2 BC, affecting mostly the bone, whereas BRCA1 BC relapsed in CNS. As it is stated in the literature, BRCA1 BC is consistent with triple negative, as BRCA2 BC is more associated with luminal subtype. Differences in iDFS favored non-BRCA patients, whereas OS was significantly improved in BRCA2 BC patients. This is the biggest cohort presented in the Portuguese population and one of the biggest presenting BRCA2 BC patients. Table 1 Characteristics of patients according to BRCA1/2 mutation status (n = 684) Citation Format: Pedro Antunes Meireles, Catarina Bexiga, Sofia Fragoso, Sidónia Santos, Teresa Duarte, Fátima Vaz. Comparing prognosis for BRCA1, BRCA2 and non-BRCA breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-08-03.

The genetics and clinical outcomes in 151 cases of fetal growth restriction: A Chinese single-center study

ObjectiveTo determine the detection rate of chromosomal abnormalities and pregnancy outcomes in fetuses with intrauterine growth restriction.Study designA total of 151 fetal samples with intrauterine growth restriction were were divided into the isolated fetal growth restriction (FGR) group, FGR group with structural malformation, and FGR group with non-structural malformation, according to ultrasound abnormalities. The enrolled patients were divided into an early onset FGR group (<32 weeks) and a late-onset FGR group (≥32 weeks). Chromosomal karyotype and microarray analyses were performed and pregnancy outcomes were monitored.ResultsThe karyotypes of 122 patients were analyzed. Four patients exhibited abnormal chromosome numbers or structures. Variations in copy number were detected in 151 cases; 19 cases were found to have chromosomal abnormalities, with a positivity rate of 12.6 %. There was one trisomy in 18 cases, one trisomy in 21 cases, eight pathogenic copy number variations (CNVs), and nine CNVs of unknown clinical significance. The detection rate of FGR combined with structural malformation was significantly higher than that of isolated FGR group. The detection rate of FGR with structural malformations was significantly higher than that with non-structural malformations. The positive detection rate in the FGR group was similar to that in the FGR group with non-structural malformations, with no statistical significance. Chromosomal abnormalities were detected in 17 patients with early onset FGR, with a positivity rate of 13.8 %. Two cases of chromosomal abnormalities were detected in the late-onset FGR group, with a positive rate of 7.1 %, with no statistical significance. A total of 151 fetuses with FGR were followed up for pregnancy outcomes, resulting in 36 cases of pregnancy termination and 13 cases of loss to follow-up. Among the 102 delivered fetuses, six exhibited delayed growth and development, one presented with hypospadias, and another failed the hearing screening. The remaining 94 fetuses demonstrated normal growth and development.ConclusionsThis study confirms the value of CNV detection in fetuses and dynamic ultrasound monitoring for fetuses with intrauterine growth restriction.

Molecular and Cytological Identification of Wheat-Thinopyrum intermedium Partial Amphiploid Line 92048 with Resistance to Stripe Rust and Fusarium Head Blight.

Thinopyrum intermedium (2n = 6x = 42, EeEeEbEbStSt or JJJsJsStSt) contains a large number of genes that are highly adaptable to the environment and immune to a variety of wheat diseases, such as powdery mildew, rust, and yellow dwarf, making it an important gene source for the genetic improvement of common wheat. Currently, an important issue plaguing wheat production and breeding is the spread of pests and illnesses. Breeding disease-resistant wheat varieties using disease-resistant genes is currently the most effective measure to solve this problem. Moreover, alien resistance genes often have a stronger disease-resistant effect than the resistance genes found in common wheat. In this study, the wheat-Th. intermedium partial amphiploid line 92048 was developed through hybridization between Th. intermedium and common wheat. The chromosome structure and composition of 92048 were analyzed using ND-FISH and molecular marker analysis. The results showed that the chromosome composition of 92048 (Octoploid Trititrigia) was 56 = 42W + 6J + 4Js + 4St. In addition, we found that 92048 was highly resistant to a mixture of stripe rust races (CYR32, CYR33, and CYR34) during the seedling stage and fusarium head blight (FHB) in the field during the adult plant stage, suggesting that the alien or wheat chromosomes in 92048 had disease-resistant gene(s) to stripe rust and FHB. There is a high probability that the gene(s) for resistance to stripe rust and FHB are from the alien chromosomes. Therefore, 92048 shows promise as a bridge material for transferring superior genes from Th. intermedium to common wheat and improving disease resistance in common wheat.

Genome-wide analysis of the MATE gene family and expression analysis of subfamily III genes in response to aluminium toxicity in pineapple

ABSTRACT Pineapple has strong adaptability to acidic soil and has become a significant economic fruit crop in the tropics and subtropics. The multidrug and toxin compound extrusion (MATE) gene family plays crucial roles in plant growth, development and responses to adverse stresses, especially in acidic soils. In this study, forty-two AcMATE genes were identified and classified into six subfamilies based on phylogenetic analysis. The chromosomal distribution, physical characteristics, phylogenetic relationships, and gene and protein structures of pineapple MATE gene family members were systematically analysed. Our results showed that six AcMATE genes can be further clustered into subfamily III with similar conserved motifs and exon-intron patterns, and are unevenly distributed on four pineapple chromosomes. Citrate exuding motif (CEM) was present in all six AcMATE proteins of subfamily III. Finally, quantitative real-time PCR experiments indicated that subfamily III AcMATE genes were highly expressed in roots and distinctly upregulated under Al stresses. In conclusion, our study illustrated that the AcMATE genes of subfamily III may function as an Al-induced citrate transporter in alleviating Al toxicity to adapt acidic soil in pineapple.

Elimination of subtelomeric repeat sequences exerts little effect on telomere essential functions in Saccharomyces cerevisiae

Telomeres, which are chromosomal end structures, play a crucial role in maintaining genome stability and integrity in eukaryotes. In the baker’s yeast Saccharomyces cerevisiae, the X- and Y’-elements are subtelomeric repetitive sequences found in all 32 and 17 telomeres, respectively. While the Y’-elements serve as a backup for telomere functions in cells lacking telomerase, the function of the X-elements remains unclear. This study utilized the S. cerevisiae strain SY12, which has three chromosomes and six telomeres, to investigate the role of X-elements (as well as Y’-elements) in telomere maintenance. Deletion of Y’-elements (SY12YΔ), X-elements (SY12XYΔ+Y), or both X- and Y’-elements (SY12XYΔ) did not impact the length of the terminal TG1-3 tracks or telomere silencing. However, inactivation of telomerase in SY12YΔ, SY12XYΔ+Y, and SY12XYΔ cells resulted in cellular senescence and the generation of survivors. These survivors either maintained their telomeres through homologous recombination-dependent TG1-3 track elongation or underwent microhomology-mediated intra-chromosomal end-to-end joining. Our findings indicate the non-essential role of subtelomeric X- and Y’-elements in telomere regulation in both telomerase-proficient and telomerase-null cells and suggest that these elements may represent remnants of S. cerevisiae genome evolution. Furthermore, strains with fewer or no subtelomeric elements exhibit more concise telomere structures and offer potential models for future studies in telomere biology.

Elimination of subtelomeric repeat sequences exerts little effect on telomere essential functions in Saccharomyces cerevisiae.

Telomeres, which are chromosomal end structures, play a crucial role in maintaining genome stability and integrity in eukaryotes. In the baker's yeast Saccharomyces cerevisiae, the X- and Y'-elements are subtelomeric repetitive sequences found in all 32 and 17 telomeres, respectively. While the Y'-elements serve as a backup for telomere functions in cells lacking telomerase, the function of the X-elements remains unclear. This study utilized the S. cerevisiae strain SY12, which has three chromosomes and six telomeres, to investigate the role of X-elements (as well as Y'-elements) in telomere maintenance. Deletion of Y'-elements (SY12YΔ), X-elements (SY12XYΔ+Y), or both X- and Y'-elements (SY12XYΔ) did not impact the length of the terminal TG1-3 tracks or telomere silencing. However, inactivation of telomerase in SY12YΔ, SY12XYΔ+Y, and SY12XYΔ cells resulted in cellular senescence and the generation of survivors. These survivors either maintained their telomeres through homologous recombination-dependent TG1-3 track elongation or underwent microhomology-mediated intra-chromosomal end-to-end joining. Our findings indicate the non-essential role of subtelomeric X- and Y'-elements in telomere regulation in both telomerase-proficient and telomerase-null cells and suggest that these elements may represent remnants of S. cerevisiae genome evolution. Furthermore, strains with fewer or no subtelomeric elements exhibit more concise telomere structures and offer potential models for future studies in telomere biology.

OA30 Primary osteoarthritis chondrocyte map of chromatin conformation reveals novel effector genes

Abstract Background/Aims Osteoarthritis is a complex disease with a huge public health burden. Genome-wide association studies (GWAS) have identified hundreds of osteoarthritis-associated sequence variants, but the effector genes underpinning these signals remain largely elusive. Understanding chromosome organisation in 3D space is essential for identifying long-range contacts between distant genomic features (e.g., between genes and regulatory elements), in a tissue-specific manner. Here, we generate the first whole genome chromosome conformation analysis (Hi-C) map of primary osteoarthritis chondrocytes and identify novel effector genes for the disease. Methods Primary chondrocytes collected from eight knee osteoarthritis patients underwent Hi-C analysis to link chromosomal structure to genomic sequence. The identified loops were then combined with osteoarthritis GWAS results to identify variants involved in gene regulation via enhancer-promoter interactions. Results We identified 36 genetic variants residing within chromatin loop anchors that are associated with 13 osteoarthritis GWAS signals. Five of these variants reside directly in enhancer regions of 3 enhancer-promoter loops newly described in chondrocytes, pointing to high-confidence effector genes: PAPPA, NSD2 and NCOA6. PAPPA is directly associated with the turnover of IGF-1 transport proteins, and IGF-1 is an important factor in the repair of damaged chondrocytes. Conclusion We have constructed the first Hi-C map of primary human chondrocytes and have made it available as a resource for the scientific community. By integrating 3D-genomics with large-scale genetic association data, we identify high-confidence osteoarthritis effector genes which enhance our understanding of disease and can serve as putative high-value novel targets. Disclosure N. Bittner: None. C. Shi: None. D. Zhao: None. J. Ding: None. L. Southam: None. D. Swift: None. P. Kreitmaier: None. M. Tutino: None. J. Hankinson: None. M. Wilkinson: None. G. Orozco: None. E. Zeggini: None.

Sexy ways: the methodical approaches to study plant sex chromosomes.

Sex chromosomes have evolved in many plant species with separate sexes. Current plant research is shifting from examining the structure of sex chromosomes to exploring their functional aspects. New studies are progressively unveiling the specific genetic and epigenetic mechanisms responsible for shaping distinct sexes in plants. While the fundamental methods of molecular biology and genomics are generally employed for the analysis of sex chromosomes, it is often necessary to modify classical procedures not only to simplify and expedite analyses but sometimes to make them possible at all. In this review, we demonstrate how, at the level of structural and functional genetics, cytogenetics, and bioinformatics, it is essential to adapt established procedures for sex chromosome analysis.

Genome-Wide Identification of Phytochrome-Interacting Factor (PIF) Gene Family in Potatoes and Functional Characterization of StPIF3 in Regulating Shade-Avoidance Syndrome

The phytochrome-interacting factor (PIF) proteins are part of a subfamily of basic helix–loop–helix (bHLH) transcription factors that integrate with phytochromes (PHYs) and are known to play important roles in adaptive changes in plant architecture. However, the characterization and function of PIFs in potatoes are currently poorly understood. In this study, we identified seven PIF members in potatoes and named them StPIF01-1, StPIF01-2, StPIF03, StPIF06-1, StPIF06-2, StPIF07, and StPIF09 based on their location in potato chromosomes. The chromosomal location, gene structures, physicochemical characteristics, phylogenetic tree, and tissue-specific expression of StPIFs were also analyzed. RT-qPCR analysis revealed that the StPIF3 gene was highly induced by shade and may play a crucial regulatory role in potato responses to shade stress. Also, multiple cis-regulatory elements involved in light response were detected in the promoter of the StPIF genes. Subcellular localization analysis indicated that the StPIF3-encoding protein is mainly localized in the nucleus. Transgenic overexpression of StPIF3 in potatoes increased stem length, chlorophyll accumulation, and enhanced shade-avoidance symptoms, whereas the StPIF3-interfering lines had a lower plant height and more chlorophyll accumulation. These findings enhance our comprehension of StPIF gene roles, potentially advancing potato yield and quality research. This study provides detailed information about StPIFs and identifies the function of StPIF3, which is involved in shade-avoidance syndrome.

Genome structural dynamics: insights from Gaussian network analysis of Hi-C data.

Characterization of the spatiotemporal properties of the chromatin is essential to gaining insights into the physical bases of gene co-expression, transcriptional regulation and epigenetic modifications. The Gaussian network model (GNM) has proven in recent work to serve as a useful tool for modeling chromatin structural dynamics, using as input high-throughput chromosome conformation capture data. We focus here on the exploration of the collective dynamics of chromosomal structures at hierarchical levels of resolution, from single gene loci to topologically associating domains or entire chromosomes. The GNM permits us to identify long-range interactions between gene loci, shedding light on the role of cross-correlations between distal regions of the chromosomes in regulating gene expression. Notably, GNM analysis performed across diverse cell lines highlights the conservation of the global/cooperative movements of the chromatin across different types of cells. Variations driven by localized couplings between genomic loci, on the other hand, underlie cell differentiation, underscoring the significance of the four-dimensional properties of the genome in defining cellular identity. Finally, we demonstrate the close relation between the cell type-dependent mobility profiles of gene loci and their gene expression patterns, providing a clear demonstration of the role of chromosomal 4D features in defining cell-specific differential expression of genes.

Patterns of Chromosomal Instability and Clonal Heterogeneity in Luminal B Breast Cancer: A Pilot Study.

Chromosomal instability (CIN), defined by variations in the number or structure of chromosomes from cell to cell, is recognized as a distinctive characteristic of cancer associated with the ability of tumors to adapt to challenging environments. CIN has been recognized as a source of genetic variation that leads to clonal heterogeneity (CH). Recent findings suggest a potential association between CIN and CH with the prognosis of BC patients, particularly in tumors expressing the epidermal growth factor receptor 2 (HER2+). In fact, information on the role of CIN in other BC subtypes, including luminal B BC, is limited. Additionally, it remains unknown whether CIN in luminal B BC tumors, above a specific threshold, could have a detrimental effect on the growth of human tumors or whether low or intermediate CIN levels could be linked to a more favorable BC patient prognosis when contrasted with elevated levels. Clarifying these relationships could have a substantial impact on risk stratification and the development of future therapeutic strategies aimed at targeting CIN in BC. This study aimed to assess CIN and CH in tumor tissue samples from ten patients with luminal B BC and compare them with established clinicopathological parameters. The results of this study reveal that luminal B BC patients exhibit intermediate CIN and stable aneuploidy, both of which correlate with lymphovascular invasion. Our results also provide valuable preliminary data that could contribute to the understanding of the implications of CIN and CH in risk stratification and the development of future therapeutic strategies in BC.

A distributed evolutionary based instance selection algorithm for big data using Apache Spark

Instance selection is an important preprocessing technology in data mining and machine learning. In this paper, we proposed a novel evolutionary based instance selection algorithm for big data. First, we defined a coarse granularity chromosome structure to reduce the size of search space and costs of chromosome operations(recombination and mutation, etc.). Then a stratified evolution strategy was proposed to remove the hyper parameter in classic fitness function and achieve precise control over the reduction ratio of instances. Finally, a sampling-based fitness function was proposed to reduce the time complexity. Experimental results shown that our new algorithm is efficient to complete the instance selection task on data set with millions of instances in minutes-level. The 10-fold cross-validation also proved that the selection results on many datasets have high nearest neighbor classification accuracy.

Heat stress impairs centromere structure and segregation of meiotic chromosomes in Arabidopsis

Heat stress is a major threat to global crop production, and understanding its impact on plant fertility is crucial for developing climate-resilient crops. Despite the known negative effects of heat stress on plant reproduction, the underlying molecular mechanisms remain poorly understood. Here, we investigated the impact of elevated temperature on centromere structure and chromosome segregation during meiosis in Arabidopsis thaliana. Consistent with previous studies, heat stress leads to a decline in fertility and micronuclei formation in pollen mother cells. Our results reveal that elevated temperature causes a decrease in the amount of centromeric histone and the kinetochore protein BMF1 at meiotic centromeres with increasing temperature. Furthermore, we show that heat stress increases the duration of meiotic divisions and prolongs the activity of the spindle assembly checkpoint during meiosis I, indicating an impaired efficiency of the kinetochore attachments to spindle microtubules. Our analysis of mutants with reduced levels of centromeric histone suggests that weakened centromeres sensitize plants to elevated temperature, resulting in meiotic defects and reduced fertility even at moderate temperatures. These results indicate that the structure and functionality of meiotic centromeres in Arabidopsis are highly sensitive to heat stress, and suggest that centromeres and kinetochores may represent a critical bottleneck in plant adaptation to increasing temperatures.

Heat stress impairs centromere structure and segregation of meiotic chromosomes in Arabidopsis.

Heat stress is a major threat to global crop production, and understanding its impact on plant fertility is crucial for developing climate-resilient crops. Despite the known negative effects of heat stress on plant reproduction, the underlying molecular mechanisms remain poorly understood. Here, we investigated the impact of elevated temperature on centromere structure and chromosome segregation during meiosis in Arabidopsis thaliana. Consistent with previous studies, heat stress leads to a decline in fertility and micronuclei formation in pollen mother cells. Our results reveal that elevated temperature causes a decrease in the amount of centromeric histone and the kinetochore protein BMF1 at meiotic centromeres with increasing temperature. Furthermore, we show that heat stress increases the duration of meiotic divisions and prolongs the activity of the spindle assembly checkpoint during meiosis I, indicating an impaired efficiency of the kinetochore attachments to spindle microtubules. Our analysis of mutants with reduced levels of centromeric histone suggests that weakened centromeres sensitize plants to elevated temperature, resulting in meiotic defects and reduced fertility even at moderate temperatures. These results indicate that the structure and functionality of meiotic centromeres in Arabidopsis are highly sensitive to heat stress, and suggest that centromeres and kinetochores may represent a critical bottleneck in plant adaptation to increasing temperatures.

Novel Concept of Alpha Satellite Cascading Higher-Order Repeats (HORs) and Precise Identification of 15mer and 20mer Cascading HORs in Complete T2T-CHM13 Assembly of Human Chromosome 15.

Unraveling the intricate centromere structure of human chromosomes holds profound implications, illuminating fundamental genetic mechanisms and potentially advancing our comprehension of genetic disorders and therapeutic interventions. This study rigorously identified and structurally analyzed alpha satellite higher-order repeats (HORs) within the centromere of human chromosome 15 in the complete T2T-CHM13 assembly using the high-precision GRM2023 algorithm. The most extensive alpha satellite HOR array in chromosome 15 reveals a novel cascading HOR, housing 429 15mer HOR copies, containing 4-, 7- and 11-monomer subfragments. Within each row of cascading HORs, all alpha satellite monomers are of distinct types, as in regular Willard's HORs. However, different HOR copies within the same cascading 15mer HOR contain more than one monomer of the same type. Each canonical 15mer HOR copy comprises 15 monomers belonging to only 9 different monomer types. Notably, 65% of the 429 15mer cascading HOR copies exhibit canonical structures, while 35% display variant configurations. Identified as the second most extensive alpha satellite HOR, another novel cascading HOR within human chromosome 15 encompasses 164 20mer HOR copies, each featuring two subfragments. Moreover, a distinct pattern emerges as interspersed 25mer/26mer structures differing from regular Willard's HORs and giving rise to a 34-monomer subfragment. Only a minor 18mer HOR array of 12 HOR copies is of the regular Willard's type. These revelations highlight the complexity within the chromosome 15 centromeric region, accentuating deviations from anticipated highly regular patterns and hinting at profound information encoding and functional potential within the human centromere.

Extreme genome scrambling in marine planktonic Oikopleura dioica cryptic species.

Genome structural variations within species are rare. How selective constraints preserve gene order and chromosome structure is a central question in evolutionary biology that remains unsolved. Our sequencing of several genomes of the appendicularian tunicate Oikopleura dioica around the globe reveals extreme genome scrambling caused by thousands of chromosomal rearrangements, although showing no obvious morphological differences between these animals. The breakpoint accumulation rate is an order of magnitude higher than in ascidian tunicates, nematodes, Drosophila, or mammals. Chromosome arms and sex-specific regions appear to be the primary unit of macrosynteny conservation. At the microsyntenic level, scrambling did not preserve operon structures, suggesting an absence of selective pressure to maintain them. The uncoupling of the genome scrambling with morphological conservation in O. dioica suggests the presence of previously unnoticed cryptic species and provides a new biological system that challenges our previous vision of speciation in which similar animals always share similar genome structures.

Developmental and Housekeeping Genes: Two Types of Genetic Organization in the Drosophila Genome.

We developed a procedure for locating genes on Drosophila melanogaster polytene chromosomes and described three types of chromosome structures (gray bands, black bands, and interbands), which differed markedly in morphological and genetic properties. This was reached through the use of our original methods of molecular and genetic analysis, electron microscopy, and bioinformatics data processing. Analysis of the genome-wide distribution of these properties led us to a bioinformatics model of the Drosophila genome organization, in which the genome was divided into two groups of genes. One was constituted by 65, in which the genome was divided into two groups, 62 genes that are expressed in most cell types during life cycle and perform basic cellular functions (the so-called "housekeeping genes"). The other one was made up of 3162 genes that are expressed only at particular stages of development ("developmental genes"). These two groups of genes are so different that we may state that the genome has two types of genetic organization. Different are the timings of their expression, chromatin packaging levels, the composition of activating and deactivating proteins, the sizes of these genes, the lengths of their introns, the organization of the promoter regions of the genes, the locations of origin recognition complexes (ORCs), and DNA replication timings.

A Novel Single Parent Mating Technique in Genetic Algorithm for Discrete – Time System Identification

System identification is concerned with the construction of a mathematical model based on given input and output data to represent the dynamical behaviour of a system. As a step-in system identification, model structure selection is a step where a model perceived as adequate system representation is selected. A typical rule is that the model must have a good balance between parsimony and accuracy in estimating a dynamic system. As a popular search method, genetic algorithm (GA) is used for selecting a model structure. However, the optimality of the final model depends much on the optimality of GA. This paper introduces a novel mating technique in GA based on the chromosome structure of the parents such that a single parent is sufficient in achieving mating that demonstrates high exploration capability. In investigating this, four systems of linear and nonlinear classes were simulated to generate discrete-time sets of data i.e. later used for identification. The outcome shows that GA incorporated with the mating technique within 10% - 20% of the population size is able to find optimal models quicker than the traditional GA.