Molecular Structure of an R Factor, Its Component Drug-Resistance Determinants and Transfer Factor

Plasmid DNA from Escherichia coli strains harboring drug resistance either of the infectious or noninfectious kind has been separated by CsCl centrifugation of crude cell lysates in the presence of ethidium bromide and examined by electron microscopy. Plasmid deoxyribonucleic acid (DNA) from an S(+) strain (which has the property of noninfectious streptomycin-sulfonamide resistance) consists of a monomolecular covalently closed circular species of 2.7 mum in contour length (5.6 x 10(6) atomic mass units; amu). DNA from a strain carrying a transfer factor, termed Delta, but no determinant for drug resistance, is a monomolecular covalently closed circular species of 29.3 mum in contour length (61 x 10(6) amu). DNA from either Delta(+)A(+) or Delta(+)S(+) strains, (which are respectively ampicillin or streptomycin-sulfonamide resistant, and can transfer this drug resistance), shows a bimodal distribution of molecules of contour lengths 2.7 mum and 29.3 mum, whereas DNA from a (Delta-T)(+) strain (showing infectious tetracycline resistance) contains only one species of molecule measuring 32.3 mum (67 x 10(6) amu). We conclude that ampicillin resistance is carried by a DNA molecule (the A determinant) of 2.7 mum, and streptomycin-sulfonamide resistance is carried by an independent molecule (the S determinant) of similar size. These molecules are not able to effect their own transfer, but can be transmitted to other cells due to the simultaneous presence of the transfer factor, Delta, which also constitutes an independent molecule, of size 29.3 mum. In general, there appears to be little recombination or integration of the A or S molecules into that of Delta, although a small proportion (5-10%) of recombinant molecules cannot be excluded. In contrast, the third drug-resistance determinant, that for tetracycline resistance (denoted as T), is integrated in the Delta molecule to form the composite structure Delta-T of size 32.3 mum, which determines infectious tetracycline resistance. The Delta(+)A(+) and Delta(+)S(+) strains are defined as harboring plasmid aggregates, and the (Delta-T)(+) strain is defined as carrying a plasmid cointegrate; the properties of all three strains are characteristic of strains harboring R factors. These results are compatible with the previously published genetic data. The number of Delta molecules per cell appears to be equal to the chromosomal number irrespective of growth phase, and this plasmid can thus be defined as stringently regulated in DNA replication. In contrast, S and A exist as multiple copies, probably in at least a 10-fold excess of chromosomal copy number. S and A can thus be defined as relaxed in the regulation of their DNA replication.     

Klebsiella aerogenes Strain Carrying Drug-Resistance Determinants and a lac Plasmid

In addition to carrying determinants conferring resistance to at least two antibiotics, chloramphenicol and streptomycin, a Klebsiella aerogenes strain contains a plasmid responsible for increased β-galactosidase activity. The plasmid can be transferred to Escherichia coli and Salmonella typhimurium strains. K. aerogenes segregants without the plasmid grow on lactose one-half as fast as the parent strain and contain only one-tenth to one-fifth as much β-galactosidase.     

Physical Studies of the Drug-Resistance Transfer Factor in Proteus

The transfer unit, RTF, derived from an R factor has been transferred to Proteus mirabilis and characterized physiochemically.     

Cell Sorting and Chondrogenic Aggregate Formation in Limb Bud Recombinants and in Culture

The cartilage pattern of the developing chick limb changes along the proximal-distal (PD) axis. It is assumed that these spatial changes are brought about by differences in the cellular properties of distal mesoderm, the progress zone (PZ). To examine whether these differences are actually maintained in the individual cells composing the PZ, we dissociated early (stage 20) and late (stage 25) PZ tissues into single cells, then mixed and recombined them with ectodermal jackets. The recombinants were grafted to limb bud stumps and allowed to develop into limb-like structures. Early PZ cells were distributed within whole cartilage elements along the PD axis of the limb-like structures, while cells from late PZ participated only in the formation of distal cartilage elements.
A difference in distribution pattern between the cells of early and late PZ in mixed culture was also observed. Cells of early PZ aggregated rapidly in patches and formed cartilage nodules, while the cells of late PZ distributed in regions surrounding these cell aggregates and gradually differentiated to cartilage cells. These results suggest that the cellular properties in the PZ concerning the rate of chondrogenic aggregate formation change during limb bud development, and that this change may relate to the cartilage pattern formation along the PD axis.     

香菇交配型因子次级重组体的鉴定

对13个香菇菌株的担孢子后代进行了交配型分析,其中8个菌株非亲和反应与亲和反应之比与预期的3∶1的比例无显著差异。另外5个菌株非亲和反应与亲和反应之比不符合3∶1,其中4个菌株在0.05显著水平的X2值仅略高于理论值,而另一菌株HL01具有特殊的表现,其单核体132个随机配对的非亲和反应与亲和反应之比为82∶50,X2值显著偏离3∶1的临界值。用4个标准测试菌株鉴定了来自HL01同一子实体的189个孢子单核体的交配型,在189个单核体中,161个单核体归于4种正常交配型(A1B1,A2B2,A1B2,A2B1)之一。而另外28个可能源于次级重组的单核体可分成另外4个类群。通过以所有可能的组合进行配对杂交,进一步分析了28个单核体的交配型。结果表明,次级重组同时在A因子和B因子中发生,重组值分别为8.5%和11.6%。A因子至少由2个亚基组成而B因子可能由不止2个亚基组成。随后的出菇试验表明,至少含有1个重组体的所有可亲和配对均具有结实能力。     

整合子与细菌耐药性

整合子是由1个编码整合酶的intI基因、2个基因重组位点、启动子和耐药基因盒组成,根据整合酶的DNA碱基序列的不同分为4类,它能通过位点的基因重组机制使耐药基因移动,传递细菌耐药性,并与多重耐药性相关。     

Targeting Imperfect Vaccines against Drug-Resistance Determinants: A Strategy for Countering the Rise of Drug Resistance

The growing prevalence of antimicrobial resistance in major pathogens is outpacing discovery of new antimicrobial classes. Vaccines mitigate the effect of antimicrobial resistance by reducing the need for treatment, but vaccines for many drug-resistant pathogens remain undiscovered or have limited efficacy, in part because some vaccines selectively favor pathogen strains that escape vaccine-induced immunity. A strain with even a modest advantage in vaccinated hosts can have high fitness in a population with high vaccine coverage, which can offset a strong selection pressure such as antimicrobial use that occurs in a small fraction of hosts. We propose a strategy to target vaccines against drug-resistant pathogens, by using resistance-conferring proteins as antigens in multicomponent vaccines. Resistance determinants may be weakly immunogenic, offering only modest specific protection against resistant strains. Therefore, we assess here how varying the specific efficacy of the vaccine against resistant strains would affect the proportion of drug-resistant vs. –sensitive strains population-wide for three pathogens – Streptococcus pneumoniae, Staphylococcus aureus, and influenza virus – in which drug resistance is a problem. Notably, if such vaccines confer even slightly higher protection (additional efficacy between 1% and 8%) against resistant variants than sensitive ones, they may be an effective tool in controlling the rise of resistant strains, given current levels of use for many antimicrobial agents. We show that the population-wide impact of such vaccines depends on the additional effect on resistant strains and on the overall effect (against all strains). Resistance-conferring accessory gene products or resistant alleles of essential genes could be valuable as components of vaccines even if their specific protective effect is weak.     

Spontaneous Charge Transfer and Dipole Formation at the Interface Between P3HT and PCBM

In the pursuit of developing new materials for more efficient bulk‐heterojunction solar cells, the blend poly (3‐hexylthiophene):[6,6]‐phenyl‐C₆₁‐butyric acid methyl ester (P3HT:PCBM) serves as an important model system. The success of the P3HT:PCBM blend comes from efficient charge generation and transport with low recombination. There is not, however, a good microscopic picture of what causes these, hindering the development of new material systems. In this report UV photoelectron spectroscopy measurements on both regiorandom‐ (rra) and regioregular‐ (rr) P3HT are presented, and the results are interpreted using the Integer Charge Transfer model. The results suggest that spontaneous charge transfer from P3HT to PCBM occurs after heat treatment of P3HT:PCBM blends. The resulting formation of an interfacial dipole creates an extra barrier at the interface explaining the reduced (non‐)geminate recombination with increased charge generation in heat treated rr‐P3HT:PCBM blends. Extensive photoinduced absorption measurements using both above‐ and below‐bandgap excitation light are presented, in good agreement with the suggested dipole formation.     

Relation Between Environmental Factors and the LOX Activities Upon Potato Tuber Formation and Flower-bud Formation in Morning Glory

Life cycles of plants including tuberization and flowering are strongly related to environmental factors such as photoperiod and temperature. Theobroxide induces potato tuber formation and flower bud formation of morning glory under non-inductive conditions and stimulates the activity of lipoxygenase (LOX). In this study, to understand the LOX activity more systematically, the relationships between LOX activity and light and temperature, which effects potato tuber and flower-bud formation, have been investigated. The results showed that LOX activity in morning glory was greatly enhanced up to 30 min and then declined after switching from the light to the dark condition, while the activity did not vary when switching from the dark to the light condition. In addition, the temperature profile of measured LOX activity in the potato and morning glory plants was nearly consistent with the time taken to form potato tubers and flower buds in morning glory, respectively, at different growing temperatures. These results strongly suggest that LOX activity is directly connected with light and temperature to regulate the formation of tubers and flower-buds.     

Compositional Determinants of Prion Formation in Yeast

Numerous prions (infectious proteins) have been identified in yeast that result from the conversion of soluble proteins into β-sheet-rich amyloid-like protein aggregates. Yeast prion formation is driven primarily by amino acid composition. However, yeast prion domains are generally lacking in the bulky hydrophobic residues most strongly associated with amyloid formation and are instead enriched in glutamines and asparagines. Glutamine/asparagine-rich domains are thought to be involved in both disease-related and beneficial amyloid formation. These domains are overrepresented in eukaryotic genomes, but predictive methods have not yet been developed to efficiently distinguish between prion and nonprion glutamine/asparagine-rich domains. We have developed a novel in vivo assay to quantitatively assess how composition affects prion formation. Using our results, we have defined the compositional features that promote prion formation, allowing us to accurately distinguish between glutamine/asparagine-rich domains that can form prion-like aggregates and those that cannot. Additionally, our results explain why traditional amyloid prediction algorithms fail to accurately predict amyloid formation by the glutamine/asparagine-rich yeast prion domains.Amyloid fibers are associated with a large number of neurodegenerative diseases and systemic amyloidoses. Amyloid fibrils are rich in a cross-beta quaternary structure in which β-strands are perpendicular to the long axis of the fibril (8).[URE3] and [PSI⁺] are the prion (infectious protein) forms of the Saccharomyces cerevisiae proteins Ure2 and Sup35, respectively (61). Formation of both prions involves conversion of the native proteins into an infectious, amyloid form. Ure2 and Sup35 have served as powerful model systems for examining the basis for amyloid formation and propagation. Both proteins possess a well-ordered functional domain responsible for the normal function of the protein, while a functionally and structurally separate glutamine/asparagine (Q/N)-rich intrinsically disordered domain is necessary and sufficient for prion aggregation and propagation (4, 26, 27, 52, 53). Both proteins can form multiple prion variants, which are distinguished by the efficiency of prion propagation and by the precise structure of the amyloid core (14, 54).Five other prion proteins have also been identified in yeast: Rnq1 (13, 46), Swi1 (15), Cyc8 (33), Mca1 (30), and Mot3 (1). Numerous other proteins, including New1, contain domains that show prion activity when inserted in place of the Sup35 prion-forming domain (PFD) (1, 42). Each of these prion proteins contains a Q/N-rich PFD. Similar Q/N-rich domains are overrepresented in eukaryotic genomes (28), raising the intriguing possibility that prion-like structural conversions by Q/N-rich domains may be common in other eukaryotes. However, we currently have little ability to predict whether a given Q/N-rich domain can form prions.A variety of algorithms have been developed to predict a peptide''s propensity to form amyloid fibrils based on its amino acid sequence, including BETASCAN (6), TANGO (17), Zyggregator (51), SALSA (62), and PASTA (55). These algorithms have been successful at identifying regions prone to amyloid aggregation and predicting the effects of mutations on aggregation propensity for many amyloid-forming proteins. However, they have generally been quite ineffective for Q/N-rich amyloid domains such as the yeast PFDs. For example, using the statistical mechanics-based algorithm TANGO (17), which predicts aggregation propensity based on a peptide''s physicochemical properties, Linding et al. found that the Sup35 and Ure2 PFDs both completely lack predicted β-aggregation nuclei (24). Similarly, yeast PFDs are generally lacking in the hydrophobic residues predicted by algorithms such as Zyggregator to nucleate amyloid formation.Why are these algorithms so effective for many amyloid-forming proteins but not for yeast PFDs? For most amyloid proteins, amyloid formation is driven by short hydrophobic protein stretches, and increased hydrophobicity is correlated with an increased amyloid aggregation propensity (34). In contrast, the yeast PFDs are all highly polar domains, due largely to the high concentration of Q/N residues and the lack of hydrophobic residues. High Q/N content is clearly not a requirement for a domain to act as a prion in yeast, since neither the mammalian prion protein PrP nor the Podospora anserina prion protein HET-s is Q/N rich, yet fragments from both proteins can act as prions in yeast (49, 50). However, the significant compositional differences between the yeast PFDs and most other amyloid/prion proteins suggest that there may be two distinct classes of amyloid-forming proteins driven by different types of interactions. Specifically, Q/N residues, which are predicted to have a relatively low amyloid propensity in the context of hydrophobic amyloid domains (34), may promote amyloid formation when present at sufficiently high density. Stacking of Q/N residues to form polar zippers has been proposed to stabilize amyloid fibrils (35). Consistent with this hypothesis, mutational studies of Sup35 indicate that Q/N residues are critical for driving [PSI⁺] formation (12), and expanded poly-Q or poly-N tracts are sufficient to drive amyloid aggregation (36, 63). Therefore, this paper examines the sequence features that allow the polar, Q/N-rich yeast PFDs to form prions.Mutational studies of the PFDs of Ure2 and Sup35 have shown that amino acid composition is the predominant feature driving prion formation (40, 41). Due to the unique compositional biases observed in the yeast PFDs, algorithms have been developed to identify potential PFDs based solely on amino acid composition (19, 28, 42). These algorithms are designed to produce a list of potential prion proteins that meet a specific set of criteria (such as high Q/N content) but are not able to predict the prion propensity of each member of the list or to predict the effects of mutations on prion formation. A recent study by Alberti et al. was the first to systematically test whether compositional similarity to known PFDs is sufficient to distinguish between Q/N-rich proteins that form prions and those that do not. They developed a hidden Markov model to identify domains that are compositionally similar to known PFDs and then analyzed the 100 highest-scoring Q/N-rich domains in a series of in vivo and in vitro assays (1). Remarkably, they discovered 18 proteins with prion-like activity in all assays. However, an equal number, including some of the domains with greatest compositional similarity to known PFDs, showed no prion-like activity.This inability to distinguish between Q/N-rich proteins that form prions and those that do not might seem to suggest that amino acid composition is not an accurate predictor of prion propensity. However, an alternative explanation is that known yeast PFDs are not an ideal training set for a composition-based prediction algorithm, since yeast prions are likely not optimized for maximal prion propensity. It is unclear whether yeast prion formation is a beneficial phenomenon providing a mechanism to regulate protein activity or a detrimental phenomenon analogous to human amyloid disease. [PSI⁺] can increase resistance to certain stress conditions (56), but the failure to observe [PSI⁺] in wild yeast strains (29) argues that beneficial [PSI⁺] formation is at most a rare event. If yeast prions are diseases, the PFDs certainly would not be optimized for maximum prion potential. If prion formation is a beneficial event allowing for rapid conversion between active and inactive states, the prion potential of the PFD would be optimized such that the frequencies of prion formation and loss would yield the optimal balance of prion and nonprion cells (25). Thus, specific residues might be excluded from yeast PFDs either because they inhibit prion formation or because they too strongly promote prion formation; bioinformatic analysis can reveal which residues are excluded from yeast PFDs but not why they are excluded. Accurate prediction of prion propensity requires understanding which deviations from known prion-forming compositions will promote prion formation and which will inhibit.We have therefore developed the first in vivo method to quantitatively determine the prion propensity for each amino acid in the context of a Q/N-rich PFD. As expected, we found proline and charged residues to be strongly inhibitory to prion formation; but surprisingly, despite being largely underrepresented in yeast PFDs, hydrophobic residues strongly promoted prion formation. Furthermore, although Q/N residues dominate yeast PFDs, prion propensity appears relatively insensitive to the exact number of Q/N residues. Using these data, we were able to distinguish with approximately 90% accuracy between Q/N-rich domains that can form prion-like aggregates and those that cannot. These experiments provide the first detailed insight into the compositional requirements for yeast prion formation and illuminate the different methods by which Q/N- and non-Q/N-rich amyloidogenic proteins aggregate.     

金黄色葡萄球菌的分离及其抗药性的研究

从土壤中分离出金黄色葡萄球菌后,以其为出发菌株,采用梯度培养皿法,利用青霉素、四环素、红霉素、氯霉素和链霉素5种抗生素,对自然界中和经过NaNO2诱变的菌株进行了耐药性菌株的分离及抗性水平的确定。在自然界中分离的金黄色葡萄球菌只对青霉素(80μg/mL)和四环素(60μg/mL)有抗性,而对红霉素、氯霉素和链霉素则没有抗性。经过NaNO2诱变后,金黄色葡萄球菌对四环素(40μg/mL)的抗性降低,但对青霉素(120μg/mL)和其他3种抗生素的抗性均有所增加。     

一种简便快速筛选重组子的方法

目的：根据碱裂解法抽提质粒DNA的原理,研究应用快检缓冲液方法挑取重组子克隆,从而获得简单易行,快速方便,节省时间,提高工作效率的筛选重组子的方法。方法：不需抽提质粒,只要将菌落接入快检缓冲液后直接进行普通琼脂凝胶电泳分析,就可以快速筛选出重组子。结果：结果和提取质粒酶切鉴定结果一致。结论：经实验证明用快检缓冲液方法筛选重组子是一种简单易行,快速方便,节省时间,提高工作效率并且可靠的方法。     

Identification of Listeria monocytogenes Determinants Required for Biofilm Formation

Listeria monocytogenes is a Gram-positive, food-borne pathogen of humans and animals. L. monocytogenes is considered to be a potential public health risk by the U.S. Food and Drug Administration (FDA), as this bacterium can easily contaminate ready-to-eat (RTE) foods and cause an invasive, life-threatening disease (listeriosis). Bacteria can adhere and grow on multiple surfaces and persist within biofilms in food processing plants, providing resistance to sanitizers and other antimicrobial agents. While whole genome sequencing has led to the identification of biofilm synthesis gene clusters in many bacterial species, bioinformatics has not identified the biofilm synthesis genes within the L. monocytogenes genome. To identify genes necessary for L. monocytogenes biofilm formation, we performed a transposon mutagenesis library screen using a recently constructed Himar1 mariner transposon. Approximately 10,000 transposon mutants within L. monocytogenes strain 10403S were screened for biofilm formation in 96-well polyvinyl chloride (PVC) microtiter plates with 70 Himar1 insertion mutants identified that produced significantly less biofilms. DNA sequencing of the transposon insertion sites within the isolated mutants revealed transposon insertions within 38 distinct genetic loci. The identification of mutants bearing insertions within several flagellar motility genes previously known to be required for the initial stages of biofilm formation validated the ability of the mutagenesis screen to identify L. monocytogenes biofilm-defective mutants. Two newly identified genetic loci, dltABCD and phoPR, were selected for deletion analysis and both ΔdltABCD and ΔphoPR bacterial strains displayed biofilm formation defects in the PVC microtiter plate assay, confirming these loci contribute to biofilm formation by L. monocytogenes.     

Determinants of Brushite Stone Formation: A Case-Control Study

Purpose

The occurrence of brushite stones has increased during recent years. However, the pathogenic factors driving the development of brushite stones remain unclear.

Methods

Twenty-eight brushite stone formers and 28 age-, sex- and BMI-matched healthy individuals were enrolled in this case-control study. Anthropometric, clinical, 24 h urinary parameters and dietary intake from 7-day weighed food records were assessed.

Results

Pure brushite stones were present in 46% of patients, while calcium oxalate was the major secondary stone component. Urinary pH and oxalate excretion were significantly higher, whereas urinary citrate was lower in patients as compared to healthy controls. Despite lower dietary intake, urinary calcium excretion was significantly higher in brushite stone patients. Binary logistic regression analysis revealed pH>6.50 (OR 7.296; p = 0.035), calcium>6.40 mmol/24 h (OR 25.213; p = 0.001) and citrate excretion <2.600 mmol/24 h (OR 15.352; p = 0.005) as urinary risk factors for brushite stone formation. A total of 56% of patients exhibited distal renal tubular acidosis (dRTA). Urinary pH, calcium and citrate excretion did not significantly differ between patients with or without dRTA.

Conclusions

Hypercalciuria, a diminished citrate excretion and an elevated pH turned out to be the major urinary determinants of brushite stone formation. Interestingly, urinary phosphate was not associated with urolithiasis. The increased urinary oxalate excretion, possibly due to decreased calcium intake, promotes the risk of mixed stone formation with calcium oxalate. Neither dietary factors nor dRTA can account as cause for hypercalciuria, higher urinary pH and diminished citrate excretion. Further research is needed to define the role of dRTA in brushite stone formation and to evaluate the hypothesis of an acquired acidification defect.     

应用于基因治疗的重组体腺病毒的构建方法

应用于基因治疗的重组体腺病毒的构建方法程金科林晨张雪艳吴（中国协和医科大学,中国医学科学院肿瘤研究所,北京１０００２１）ＤｅｖｅｌｏｐｍｅｎｔｏｆＡｄｅｎｏｖｉｒｕｓＲｅｃｏｍｂｉｎａｎｔｓｆｏｒＧｅｎｅＴｈｅｒａｐｙＣｈｅｎｇＪｉｎｋｅＬｉｎＣｈ...     

Dye Transfer Between Cells of the Lens

Dye transfer between lens fiber cells and between lens epithelial cells and underlying fiber cells was studied using a wide dynamic range-cooled CCD camera, H₂O immersion objectives and image analysis techniques. Each lens was decapsulated by a new technique which leaves the epithelial cells adherent to the lens fiber mass. Lucifer Yellow CH was injected into either single epithelial cells or single fiber cells using the standard whole cell configuration of the patch voltage clamp technique. The results demonstrate extensive dye communication between fiber cells at the lens posterior surface, anterior surface, and equatorial surface. Dye transfer between deep fiber cells was also observed. Dye transfer between ≈10% of epithelial cells and their underlying fiber cells was apparent when care was taken to yield wide dynamic range images. This was required because the relatively high concentration of dye in the epithelial cell masks the presence of much lower dye concentrations in the underlying fiber cell. A mathematical model which includes dye concentration, time, and spatial spread suggests that those epithelial cells that are coupled to an underlying fiber cell are about as well dye coupled as the epithelial cells themselves. The relatively low dye concentration in a fiber cell is due to its larger volume and diffusion of the dye along the axis of the fiber away from the fiber/epithelial junction. Received: 14 September 1995/Revised: 13 November 1995     

Interactions Between Pattern Formation and Domain Growth

In this paper we develop a theoretical framework for investigating pattern formation in biological systems for which the tissue on which the spatial pattern resides is growing at a rate which is itself regulated by the diffusible chemicals that establish the spatial pattern. We present numerical simulations for two cases of interest, namely exponential domain growth and chemically controlled growth. Our analysis reveals that for domains undergoing rapid exponential growth dilution effects associated with domain growth influence both the spatial patterns that emerge and the concentration of chemicals present in the domain. In the latter case, there is complex interplay between the effects of the chemicals on the domain size and the influence of the domain size on the formation of patterns. The nature of these interactions is revealed by a weakly nonlinear analysis of the full system. This yields a pair of nonlinear equations for the amplitude of the spatial pattern and the domain size. The domain is found to grow (or shrink) at a rate that depends quadratically on the pattern amplitude, the particular functional forms used to model the local tissue growth rate and the kinetics of the two diffusible species dictating the resulting behaviour.     

Determinants of Sperm Transfer by Males of the Noctuid Moth Heliothis virescens

Ejaculate composition can be an important determinant of male reproductive success in the face of sperm competition, which varies with the mating history of the female. Here we examine the effect of various male and female mating histories and morphological traits on ejaculate sperm numbers in the polyandrous moth Heliothis virescens. We show that when mating with nonvirgin females, males passed larger sperm packages (spermatophores) but did not alter either the sperm count or the ratio of nucleated-to-nonnucleated sperm. Males also passed fewer sperm in their second ejaculates. Finally, older males passed more sperm than did younger males. Earlier research found that females store more sperm from older males and that older males are more likely to gain sperm precedence over younger rivals. These earlier results, taken together with the present results, indicate that the advantage enjoyed by older males is due to an increased sperm count.