FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308370748> ?p ?o ?g. }

• W4308370748 abstract "Body hair is a defining mammalian characteristic, but several mammals, such as whales, naked mole-rats, and humans, have notably less hair. To find the genetic basis of reduced hair quantity, we used our evolutionary-rates-based method, RERconverge, to identify coding and noncoding sequences that evolve at significantly different rates in so-called hairless mammals compared to hairy mammals. Using RERconverge, we performed a genome-wide scan over 62 mammal species using 19,149 genes and 343,598 conserved noncoding regions. In addition to detecting known and potential novel hair-related genes, we also discovered hundreds of putative hair-related regulatory elements. Computational investigation revealed that genes and their associated noncoding regions show different evolutionary patterns and influence different aspects of hair growth and development. Many genes under accelerated evolution are associated with the structure of the hair shaft itself, while evolutionary rate shifts in noncoding regions also included the dermal papilla and matrix regions of the hair follicle that contribute to hair growth and cycling. Genes that were top ranked for coding sequence acceleration included known hair and skin genes KRT2, KRT35, PKP1, and PTPRM that surprisingly showed no signals of evolutionary rate shifts in nearby noncoding regions. Conversely, accelerated noncoding regions are most strongly enriched near regulatory hair-related genes and microRNAs, such as mir205, ELF3, and FOXC1, that themselves do not show rate shifts in their protein-coding sequences. Such dichotomy highlights the interplay between the evolution of protein sequence and regulatory sequence to contribute to the emergence of a convergent phenotype.Whales, elephants, humans, and naked mole-rats all share a somewhat rare trait for mammals: their bodies are covered with little to no hair. The common ancestors of each of these species are considerably hairier which must mean that hairlessness evolved multiple times independently. When distantly related species evolve similar traits, it can be interpreted as a certain aspect of their evolution repeating itself. This process is called ‘convergent evolution’ and may provide insights about how different species were able to arrive at the same outcome. One possibility is that they have undergone similar genetic changes such as turning on or off key genes that play a role in the trait’s development. Kowalczyk et al. set out to identify what genetic changes may have contributed to the convergent evolution of hairlessness in unrelated species of mammals. By looking at the genomes of 62 mammalian species, they hoped to link specific genomic elements to the origins of the hairless trait. The genetic sequences under investigation included nearly 20,000 genes that encode information about how to make proteins, as well as 350,000 regulatory sequences composed of non-coding DNA, which specify when and how genes are activated. This marks the first time genetic mechanisms behind various hair traits have been studied in such a diverse group of mammals. Using a computational approach, Kowalczyk et al. identified parts of the genome that have evolved similarly in mammalian species that have lost their hair. They found that genes and regulatory sequences, that had been previously associated with hair growth, accumulated mutations at significantly different rates in hairless versus hairy mammals. This indicates that these regions associated hair growth are also related to evolution of hairlessness. This includes several genes that encode keratin proteins, the main material that makes up hair. The team also reported an increased rate of evolution in genes and regulatory sequences that were not previously known to be involved in hair growth or hairlessness in mammals. Together these results suggest that a specific set of genetic changes have occurred several times in different mammalian lineages to drive the evolution of hairlessness in unrelated species. Kowalczyk et al. describe the parts of the genome that may be involved in controlling hair growth. Once their findings are validated, they could be used to develop treatments for hair loss in humans. Additionally, their computational approach could be applied to other examples of convergent evolution where genomic data is available, allowing scientists to better understand how the same traits evolve in different species." @default.
• W4308370748 created "2022-11-11" @default.
• W4308370748 creator A5016786820 @default.
• W4308370748 creator A5034705320 @default.
• W4308370748 creator A5064931312 @default.
• W4308370748 date "2022-11-07" @default.
• W4308370748 modified "2023-10-15" @default.
• W4308370748 title "Complementary evolution of coding and noncoding sequence underlies mammalian hairlessness" @default.
• W4308370748 cites W1592395964 @default.
• W4308370748 cites W1606623445 @default.
• W4308370748 cites W1700570096 @default.
• W4308370748 cites W182484935 @default.
• W4308370748 cites W1964876526 @default.
• W4308370748 cites W1969012267 @default.
• W4308370748 cites W1970734848 @default.
• W4308370748 cites W1976442426 @default.
• W4308370748 cites W2001933041 @default.
• W4308370748 cites W2003151421 @default.
• W4308370748 cites W2005526785 @default.
• W4308370748 cites W2008241074 @default.
• W4308370748 cites W2009125394 @default.
• W4308370748 cites W2010457001 @default.
• W4308370748 cites W2011531593 @default.
• W4308370748 cites W2012896813 @default.
• W4308370748 cites W2015171578 @default.
• W4308370748 cites W2024157206 @default.
• W4308370748 cites W2024201682 @default.
• W4308370748 cites W2028098940 @default.
• W4308370748 cites W2039442454 @default.
• W4308370748 cites W2042462751 @default.
• W4308370748 cites W2043175624 @default.
• W4308370748 cites W2047189969 @default.
• W4308370748 cites W2057097356 @default.
• W4308370748 cites W2060358031 @default.
• W4308370748 cites W2062836206 @default.
• W4308370748 cites W2075495563 @default.
• W4308370748 cites W2076189890 @default.
• W4308370748 cites W2077505721 @default.
• W4308370748 cites W2079995784 @default.
• W4308370748 cites W2093133164 @default.
• W4308370748 cites W2101840599 @default.
• W4308370748 cites W2102659607 @default.
• W4308370748 cites W2103017472 @default.
• W4308370748 cites W2103591686 @default.
• W4308370748 cites W2103825953 @default.
• W4308370748 cites W2107746854 @default.
• W4308370748 cites W2110065044 @default.
• W4308370748 cites W2110335151 @default.
• W4308370748 cites W2112132489 @default.
• W4308370748 cites W2118704273 @default.
• W4308370748 cites W2120826241 @default.
• W4308370748 cites W2128016314 @default.
• W4308370748 cites W2132926880 @default.
• W4308370748 cites W2134661506 @default.
• W4308370748 cites W2140239522 @default.
• W4308370748 cites W2145191876 @default.
• W4308370748 cites W2145955680 @default.
• W4308370748 cites W2153027227 @default.
• W4308370748 cites W2158579288 @default.
• W4308370748 cites W2169630576 @default.
• W4308370748 cites W2266703738 @default.
• W4308370748 cites W2278137857 @default.
• W4308370748 cites W2299231398 @default.
• W4308370748 cites W2325218038 @default.
• W4308370748 cites W2405424609 @default.
• W4308370748 cites W2416918606 @default.
• W4308370748 cites W2465050739 @default.
• W4308370748 cites W2508792834 @default.
• W4308370748 cites W2557827983 @default.
• W4308370748 cites W2562353677 @default.
• W4308370748 cites W2591022505 @default.
• W4308370748 cites W2605519972 @default.
• W4308370748 cites W2608189594 @default.
• W4308370748 cites W2766475821 @default.
• W4308370748 cites W2767517408 @default.
• W4308370748 cites W2769591387 @default.
• W4308370748 cites W2771121588 @default.
• W4308370748 cites W2796519170 @default.
• W4308370748 cites W2885999244 @default.
• W4308370748 cites W2891510906 @default.
• W4308370748 cites W2914622251 @default.
• W4308370748 cites W2922342766 @default.
• W4308370748 cites W2949743437 @default.
• W4308370748 cites W2950595506 @default.
• W4308370748 cites W2951422792 @default.
• W4308370748 cites W2954534368 @default.
• W4308370748 cites W2967743210 @default.
• W4308370748 cites W3004507471 @default.
• W4308370748 cites W3092949947 @default.
• W4308370748 cites W3136653930 @default.
• W4308370748 cites W3208888282 @default.
• W4308370748 cites W4234336518 @default.
• W4308370748 cites W4308370748 @default.
• W4308370748 cites W2301689656 @default.
• W4308370748 doi "https://doi.org/10.7554/elife.76911" @default.
• W4308370748 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36342464" @default.
• W4308370748 hasPublicationYear "2022" @default.
• W4308370748 type Work @default.
• W4308370748 citedByCount "9" @default.
• W4308370748 countsByYear W43083707482022 @default.

• next