Biological invasions drive environmental change, potentially threatening native biodiversity, human health, and global economies. Population genomics is an increasingly popular tool in invasion biology, improving accuracy and providing new insights into the genetic factors that underpin invasion success compared to research based on a small number of genetic loci. We examine the extent to which population genomic resources, including reference genomes, have been used or are available for invasive species research. We find that 82% of species on the International Union for Conservation of Nature "100 Worst Invasive Alien Species" list have been studied using some form of population genetic data, but just 32% of these species have been studied using population genomic data. Further, 55% of the list's species lack a reference genome. With incursion rates escalating globally, understanding how genome-driven processes facilitate invasion is critical, but despite a promising trend of increasing uptake, "invasion genomics" is still in its infancy. We discuss how population genomic data can enhance our understanding of biological invasion and inform proactive detection and management of invasive species, and we call for more research that specifically targets this area.
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http://dx.doi.org/10.1038/s41598-022-17937-y | DOI Listing |
Int Urol Nephrol
January 2025
Department of Nephrology, Jiangxi Medical College, The Second Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Purpose: To clarify the causal association between cardiovascular proteins and diabetic nephropathy (DN) in Europeans.
Methods: The large genome-wide association study data of cardiovascular proteins and DN were used for this two-sample Mendelian randomization (MR) analysis. We took the Inverse variance weighted (IVW) as the primary method.
Int J Radiat Oncol Biol Phys
January 2025
Providence Swedish Cancer Institute, Seattle, Washington.
Purpose: Standard therapy for breast cancer after breast-conserving surgery is radiation therapy (RT) plus hormone therapy (HT). For patients with a low-risk of recurrence, there is an interest in deescalating therapy.
Methods And Materials: A retrospective study was carried out for patients treated at the Swedish Cancer Institute from 2000 to 2015, aged 70 years or older, with pT1N0 or pT1NX estrogen receptor-positive and ERBB2-negative unifocal breast cancer without positive surgical margins, high nuclear grade, or lymphovascular invasion.
J Ovarian Res
January 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, #128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Background: Ovarian cancers (OC) and cervical cancers (CC) have poor survival rates. Tumor-infiltrating lymphocytes (TILs) play a pivotal role in prognosis, but shared immune mechanisms remain elusive.
Methods: We integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to explore immune regulation in OC and CC, focusing on the PI3K/AKT pathway and FLT3 as key modulators.
Clin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
View Article and Find Full Text PDFBMC Med Genomics
January 2025
Department of Surgery, Faculty of General of Medicine, Koya University, Koya, Kurdistan Region - F.R., KOY45, Iraq.
Background: During mammalian spermatogenesis, the cytoskeleton system plays a significant role in morphological changes. Male infertility such as non-obstructive azoospermia (NOA) might be explained by studies of the cytoskeletal system during spermatogenesis.
Methods: The cytoskeleton, scaffold, and actin-binding genes were analyzed by microarray and bioinformatics (771 spermatogenic cellsgenes and 774 Sertoli cell genes).
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