BACKGROUND AND AIMS: In mountain plant populations, local adaptation has been described as one of the main responses to climate warming, allowing plants to persist under stressful conditions. This is especially the case for marginal populations at their lowest elevation, as they are highly vulnerable. Adequate levels of genetic diversity are required for selection to take place, while high levels of altitudinal gene flow are seen as a major limiting factor potentially precluding local adaptation processes. Thus, a compromise between genetic diversity and gene flow seems necessary to guarantee persistence under oncoming conditions. It is therefore critical to determine if gene flow occurs preferentially between mountains at similar altitudinal belts, promoting local adaptation at the lowest populations, or conversely along altitude within each mountain. METHODS: Microsatellite markers were used to unravel genetic diversity and population structure, inbreeding and gene flow of populations at two nearby altitudinal gradients of Silene ciliata, a Mediterranean high-mountain cushion plant. KEY RESULTS: Genetic diversity and inbreeding coefficients were similar in all populations. Substantial gene flow was found both along altitudinal gradients and horizontally within each elevation belt, although greater values were obtained along altitudinal gradients. Gene flow may be responsible for the homogeneous levels of genetic diversity found among populations. Bayesian cluster analyses also suggested that shifts along altitudinal gradients are the most plausible scenario. CONCLUSIONS: Past population shifts associated with glaciations and interglacial periods in temperate mountains may partially explain current distributions of genetic diversity and population structure. In spite of the predominance of gene flow along the altitudinal gradients, local genetic differentiation of one of the lower populations together with the detection of one outlier locus might support the existence of different selection forces at low altitudes.
BACKGROUND AND AIMS: In mountain plant populations, local adaptation has been described as one of the main responses to climate warming, allowing plants to persist under stressful conditions. This is especially the case for marginal populations at their lowest elevation, as they are highly vulnerable. Adequate levels of genetic diversity are required for selection to take place, while high levels of altitudinal gene flow are seen as a major limiting factor potentially precluding local adaptation processes. Thus, a compromise between genetic diversity and gene flow seems necessary to guarantee persistence under oncoming conditions. It is therefore critical to determine if gene flow occurs preferentially between mountains at similar altitudinal belts, promoting local adaptation at the lowest populations, or conversely along altitude within each mountain. METHODS: Microsatellite markers were used to unravel genetic diversity and population structure, inbreeding and gene flow of populations at two nearby altitudinal gradients of Silene ciliata, a Mediterranean high-mountain cushion plant. KEY RESULTS: Genetic diversity and inbreeding coefficients were similar in all populations. Substantial gene flow was found both along altitudinal gradients and horizontally within each elevation belt, although greater values were obtained along altitudinal gradients. Gene flow may be responsible for the homogeneous levels of genetic diversity found among populations. Bayesian cluster analyses also suggested that shifts along altitudinal gradients are the most plausible scenario. CONCLUSIONS: Past population shifts associated with glaciations and interglacial periods in temperate mountains may partially explain current distributions of genetic diversity and population structure. In spite of the predominance of gene flow along the altitudinal gradients, local genetic differentiation of one of the lower populations together with the detection of one outlier locus might support the existence of different selection forces at low altitudes.
Authors: Junghwa An; Arnaud Bechet; Asa Berggren; Sarah K Brown; Michael W Bruford; Qingui Cai; Anna Cassel-Lundhagen; Frank Cezilly; Song-Lin Chen; Wei Cheng; Sung-Kyoung Choi; X Y Ding; Yong Fan; Kevin A Feldheim; Z Y Feng; Vicki L Friesen; Maria Gaillard; Juan A Galaraza; Leonardo Gallo; K N Ganeshaiah; Julia Geraci; John G Gibbons; William S Grant; Zac Grauvogel; S Gustafsson; Jeffrey R Guyon; L Han; Daniel D Heath; S Hemmilä; J Derek Hogan; B W Hou; Jernej Jakse; Branka Javornik; Peter Kaňuch; Kyung-Kil Kim; Kyung-Seok Kim; Sang-Gyu Kim; Sang-In Kim; Woo-Jin Kim; Yi-Kyung Kim; Maren A Klich; Brian R Kreiser; Ye-Seul Kwan; Athena W Lam; Kelly Lasater; M Lascoux; Hang Lee; Yun-Sun Lee; D L Li; Shao-Jing Li; W Y Li; Xiaolin Liao; Zlatko Liber; Lin Lin; Shaoying Liu; Xin-Hui Luo; Y H Ma; Yajun Ma; Paula Marchelli; Mi-Sook Min; Maria Domenica Moccia; Kumara P Mohana; Marcelle Moore; James A Morris-Pocock; Han-Chan Park; Monika Pfunder; Radosavljević Ivan; G Ravikanth; George K Roderick; Antonis Rokas; Benjamin N Sacks; Christopher A Saski; Zlatko Satovic; Sean D Schoville; Federico Sebastiani; Zhen-Xia Sha; Eun-Ha Shin; Carolina Soliani; N Sreejayan; Zhengxin Sun; Yong Tao; Scott A Taylor; William D Templin; R Uma Shaanker; R Vasudeva; Giovanni G Vendramin; Ryan P Walter; Gui-Zhong Wang; Ke-Jian Wang; Y Q Wang; Rémi A Wattier; Fuwen Wei; Alex Widmer; Stefan Woltmann; Yong-Jin Won; Jing Wu; M L Xie; Genbo Xu; Xiao-Jun Xu; Hai-Hui Ye; Xiangjiang Zhan; F Zhang; J Zhong Journal: Mol Ecol Resour Date: 2010-01-20 Impact factor: 7.090
Authors: C Lara-Romero; A García-Fernández; J J Robledo-Arnuncio; M Roumet; J Morente-López; A López-Gil; J M Iriondo Journal: Heredity (Edinb) Date: 2015-11-25 Impact factor: 3.821
Authors: Javier Morente-López; Cristina García; Carlos Lara-Romero; Alfredo García-Fernández; David Draper; José María Iriondo Journal: Front Plant Sci Date: 2018-11-27 Impact factor: 5.753
Authors: Javier Morente-López; Jamie M Kass; Carlos Lara-Romero; Josep M Serra-Diaz; José Carmen Soto-Correa; Robert P Anderson; José M Iriondo Journal: Glob Chang Biol Date: 2022-04-20 Impact factor: 13.211