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Unravelling the details of range expansion and ecological dominance shifts of insect pests has been challenging due to the lack of basic knowledge about population structure, gene flow, and most importantly, how natural selection is affecting the adaptive process. Piezodous guildinii is an emerging pest of soybean in the southern region of the United States, and increasingly important in Brazil in recent years. However, the reasons P. guildinii is gradually becoming more of a problem are questions still mostly unanswered. Here, we have genotyped P. guildinii samples and discovered 1,337 loci containing 4,083 variant sites SNPs that were used to estimate genetic structure and to identify gene candidates under natural selection. Our results revealed the existence of a significant genetic structure separating populations according to their broad geographic origin, i.e., U.S. and Brazil, supported by AMOVA (FGT = 0.26), STRUCTURE, PCA, and FST analyses. High levels of gene flow or coancestry within groups (i.e., within countries) can be inferred from the data, and no spatial pattern was apparent at the finer scale in Brazil. Samples from different seasons show more heterogeneous compositions suggesting mixed ancestry and a more complex dynamic. Lastly, we were able to detect and successfully annotated 123 GBS loci (10.5%) under positive selection. The gene ontology (GO) analysis implicated candidate genes under selection with genome reorganization, neuropeptides, and energy mobilization. We discuss how these findings could be related to recent outbreaks and suggest how new efforts directed to better understand P. guildinii population dynamics.

Recent changes in soybean management like the adoption of transgenic crops and no-till farming, in addition to the expansion of cultivated areas into new virgin frontiers, are some of the hypotheses that can explain the rise of secondary pests, such as the Neotropical brown stink bug, Euschistus heros, in Brazil. To better access the risk of increased pests like E. heros and to determine probabilities for insecticide resistance spreading, it is necessary first to access the levels of the genetic diversity, how the genetic diversity is distributed, and how natural selection is acting upon the natural variation. Using the genotyping by sequencing (GBS) technique, we generated ~60,000 single-nucleotide polymorphisms (SNPs) distributed across the E. heros genome to answer some of those questions. The SNP data was used to investigate the pattern of genetic structure, hybridization and natural selection of this emerging pest. We found that E. heros populations presented similar levels of genetic diversity with slightly higher values at several central locations in Brazil. Our results also showed strong genetic structure separating northern and southern Brazilian regions (FST = 0.22; p-value = 0.000) with a very distinct hybrid zone at the central region. The analyses also suggest the possibility that GABA channels and odorant receptors might play a role in the process of natural selection. At least one marker was associated with soybean and beans crops, but no association between allele frequency and cotton was found. We discuss the implications of these findings in the management of emerging pests in agriculture, particularly in the context of large areas of monoculture such as soybean and cotton.

The sugarcane borer moth, Diatraea saccharalis, is one of the most important pests of sugarcane and maize crops in the Western Hemisphere. The pest is widespread throughout South and Central America, the Caribbean region and the southern United States. One of the most intriguing features of D. saccharalis population dynamics is the high rate of range expansion reported in recent years. To shed light on the history of colonization of D. saccharalis, we investigated the genetic structure and diversity in American populations using single nucleotide polymorphism (SNPs) markers throughout the genome and sequences of the mitochondrial gene cytochrome oxidase (COI). Our primary goal was to propose possible dispersal routes from the putative center of origin that can explain the spatial pattern of genetic diversity. Our findings showed a clear correspondence between genetic structure and the geographical distributions of this pest insect on the American continents. The clustering analyses indicated three distinct groups: one composed of Brazilian populations, a second group composed of populations from El Salvador, Mexico, Texas and Louisiana and a third group composed of the Florida population. The predicted time of divergence predates the agriculture expansion period, but the pattern of distribution of haplotype diversity suggests that human-mediated movement was most likely the factor responsible for the widespread distribution in the Americas. The study of the early history of D. saccharalis promotes a better understanding of range expansion, the history of invasion, and demographic patterns of pest populations in the Americas.

Our primary objective was to examine the impact of acquiescent responding on empathy measures. We selected the Affective and Cognitive Measure of Empathy (ACME) as the measure for this case study due to its composition—the affective dissonance scale consists solely of items that are semantically reversed relative to the empathy construct, while the resonance scale comprises mostly semantically positive items—which raises questions about whether the distinction between resonance and dissonance factors is authentic or merely an effect of acquiescence. Utilizing data from 2,489 Brazilian adults, we explored ACME's factor structure by testing various models, both with and without acquiescence control. We also examined the invariance of model parameters, including those for acquiescence, across self-reported sex and assessed the influence of acquiescence on the associations between ACME's factors and external measures. Our findings indicated that while acquiescence does affect ACME, the resonance and dissonance factors are not exclusively a result of this bias. Nevertheless, it was demonstrated that both the items and their associations with external measures are significantly impacted by acquiescence. These results underscore the crucial need to account for response biases in empathy evaluations and in other psychological assessment measures. [ABSTRACT FROM AUTHOR]

The establishment of fibroblast lines enables several applications from the formation of biobanks for the conservation of biodiversity to the use of these cells in physiological and toxicological assays. Considered a species vulnerable to extinction, the characterization of fibroblastic lines of northern tiger cat would contribute to its conservation. Therefore, we established and characterized fibroblasts derived from northern tiger cat during extended passage (third, seventh, and eleventh passages) and cryopreservation with regard to the morphology, viability, apoptotic classification, metabolism, proliferative activity, and oxidative stress by reactive oxygen species (ROS) levels and mitochondrial membrane potential (ΔΨm). Initially, we identified four dermal fibroblast lines by morphology, immunophenotyping, and karyotyping assays. In vitro culture after the third, seventh, and eleventh passages did not affect the viability, apoptotic classification, and ROS levels. Nevertheless, cells at seventh and eleventh passages featured a reduction in metabolism and an alteration in ΔΨm when compared to third passage cells. Additionally, cells at eleventh passage showed changes in the proliferative activity and morphology when compared to other passages. Regarding cryopreservation, no effect was observed on cryopreserved cells for morphology, viability, apoptotic classification, metabolism, and proliferative activity. Nevertheless, cryopreserved cells had alteration for ROS levels and ΔΨm. In summary, fibroblasts from northern tiger cat were affected by extended passage (seventh and eleventh passages) and cryopreservation. Adjustments to the in vitro culture and cryopreservation are necessary to reduce cellular oxidative stress caused by in vitro conditions. [ABSTRACT FROM AUTHOR]

Plant pathogens are constantly under selection pressure for host resistance adaptation. Soybean cyst nematode (SCN, Heterodera glycines) is a major pest of soybean primarily managed through resistant cultivars; however, SCN populations have evolved virulence in response to selection pressures driven by repeated monoculture of the same genetic resistance. Resistance to SCN is mediated by multiple epistatic interactions between Rhg (for resistance to H. glycines) genes. However, the identity of SCN virulence genes that confer the ability to overcome resistance remains unknown. To identify candidate genomic regions showing signatures of selection for increased virulence, we conducted whole genome resequencing of pooled individuals (Pool‐Seq) from two pairs of SCN populations adapted on soybeans with Peking‐type (rhg1‐a, rhg2, and Rhg4) resistance. Population differentiation and principal component analysis‐based approaches identified approximately 0.72–0.79 million SNPs, the frequency of which showed potential selection signatures across multiple genomic regions. Chromosomes 3 and 6 between population pairs showed the greatest density of outlier SNPs with high population differentiation. Conducting multiple outlier detection tests to identify overlapping SNPs resulted in a total of 966 significantly differentiated SNPs, of which 285 exon SNPs were mapped to 97 genes. Of these, six genes encoded members of known stylet‐secreted effector protein families potentially involved in host defence modulation including venom‐allergen‐like, annexin, glutathione synthetase, SPRYSEC, chitinase, and CLE effector proteins. Further functional analysis of identified candidate genes will provide new insights into the genetic mechanisms by which SCN overcomes soybean resistance and inform the development of molecular markers for rapidly screening the virulence profile of an SCN‐infested field. [ABSTRACT FROM AUTHOR]

The objectives of this study were (1) to investigate the effects of the preovulatory follicle (POF) size on the accuracy of Doppler‐based early pregnancy detection, and (2) to determine whether the removal of PGF2α (PGF) treatment during the resynchronisation protocol would affect fertility in beef cows. In Experiment 1, Nelore suckling cows (n = 224) were enrolled in an estradiol‐progesterone–based timed artificial insemination (TAI) protocol. At TAI, cows were separated based on the range of POF diameters, as follows: ≤11.0 mm (n = 50), 11.1–12.9 mm (n = 64), 13.0–14.4 mm (n = 62) and ≥14.5 mm (n = 48). On day 22 after TAI, the corpus luteum (CL) blood flow (CLBF) of all cows was examined by colour Doppler ultrasonography to diagnose nonpregnant cows. The cows with the largest POF had the greatest positive predictive value (88.6%; 31 of 35) and diagnostic accuracy (91.7%; 44 of 48). In Experiment 2, Nelore cows (n = 233) were subjected to the same TAI protocol. Fourteen days after TAI, all cows were started on a resynchronisation protocol. Cows diagnosed as nonpregnant based on CLBF, on day 22, received 0.5 mg estradiol cypionate intramuscular (im) and were assigned to receive either 150 μg of PGF (PGF; n = 50) or 2 mL of saline (control; n = 47). Cows treated with PGF had a P/AI of 30.0% compared with a 48.9% P/AI in controls (p = 0.06). Our findings demonstrate that the POF size affects the accuracy of a CLBF‐based early pregnancy diagnosis and that the removal of PGF treatment from the resynchronisation protocol tended to increase P/AI of the second TAI. [ABSTRACT FROM AUTHOR]