Chromosomal inversions have been implicated in facilitating adaptation in the face of high levels of gene flow, but whether chromosomal fusions also have similar potential remains poorly understood. Atlantic salmon are usually characterized by population structure at multiple spatial scales; however, this is not the case for tributaries of the Miramichi River in North America. To resolve genetic relationships between populations in this system and the potential for known chromosomal fusions to contribute to adaptation, we genotyped 728 juvenile salmon using a 50 K SNP array. Consistent with previous work, we report extremely weak overall population structuring (Global F  = 0.004) and failed to support hierarchical structure between the river's two main branches. We provide the first genomic characterization of a previously described polymorphic fusion between chromosomes 8 and 29. Fusion genomic characteristics included high LD, reduced heterozygosity in the fused homokaryotes, and strong divergence between the fused and the unfused rearrangement. Population structure based on fusion karyotype was five times stronger than neutral variation (F  = 0.019), and the frequency of the fusion was associated with summer precipitation supporting a hypothesis that this rearrangement may contribute local adaptation despite weak neutral differentiation. Additionally, both outlier variation among populations and a polygenic framework for characterizing adaptive variation in relation to climate identified a 250-Kb region of chromosome 9, including the gene six6 that has previously been linked to age-at-maturity and run-timing for this species. Overall, our results indicate that adaptive processes, independent of major river branching, are more important than neutral processes for structuring these populations.

Download full-text PDF

Source
http://dx.doi.org/10.1111/mec.14965DOI Listing

Publication Analysis

Top Keywords

local adaptation
8
atlantic salmon
8
chromosomal fusions
8
population structure
8
chromosomal
4
chromosomal fusion
4
fusion life
4
life history-associated
4
history-associated genomic
4
variation
4

Similar Publications

Background: The gold standard for crystal arthritis diagnosis relies on the identification of either monosodium urate (MSU) or calcium pyrophosphate (CPP) crystals in synovial fluid. With the goal of enhanced crystal detection, we adapted a standard compensated polarized light microscope (CPLM) with a polarized digital camera and multi-focal depth imaging capabilities to create digital images from synovial fluid mounted on microscope slides. Using this single-shot computational polarized light microscopy (SCPLM) method, we compared rates of crystal detection and raters' preference for image.

View Article and Find Full Text PDF

Purpose: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective detection and classification of breast cancer is crucial in medical imaging.

View Article and Find Full Text PDF

Background: Photon-counting computed tomography (CT) is an advanced imaging technique that enables multi-energy imaging from a single scan. However, the limited photon count assigned to narrow energy bins leads to increased quantum noise in the reconstructed spectral images. To address this issue, leveraging the prior information in the spectral images is essential.

View Article and Find Full Text PDF

Seg-SkiNet: adaptive deformable fusion convolutional network for skin lesion segmentation.

Quant Imaging Med Surg

January 2025

School of Computer and Control Engineering, Yantai University, Yantai, China.

Background: Skin lesion segmentation plays a significant role in skin cancer diagnosis. However, due to the complex shapes, varying sizes, and different color depths, precise segmentation of skin lesions is a challenging task. Therefore, the aim of this study was to design a customized deep learning (DL) model for the precise segmentation of skin lesions, particularly for complex shapes and small target lesions.

View Article and Find Full Text PDF

[Construction of a visual intelligent identification model for in Yunnan Province based on the EfficientNet-B4 model].

Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi

January 2025

School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.

Objective: To construct a visual intelligent recognition model for in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of .

Methods: A total of 400 and 400 snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 and 300 snails. A total of 925 images and 1 062 snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 and 354 images from the remaining 100 snails served as an external test set.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!