Using niche centrality within the scope of the nearly neutral theory of evolution to predict genetic diversity in a tropical conifer species-pair
Data files
Aug 31, 2021 version files 903.32 KB
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A_flinckii_occs.csv
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A_religiosa_occs.csv
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Abies_CesA1_3918_.fas
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Abies_COBRA_9652.fas
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Abies_fructose_14514.fas
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Abies_heatschock_27033.fas
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Abies_Lhca4_8855.fas
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Abies_Mip1_8248.fas
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Abies_Mip1a_23660.fas
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Abies_xilosiltransferase_14455.fas
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micros_flinckii.gen
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micros_religiosa.gen
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Myb_6_cgrupoexterno.fas
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Myb_9_cgrupoexterno.fas
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MYB_STR_cgrupoexterno.fas
Abstract
Aim: Estimating genetic diversity is key for understanging biogeographic and evolutionary processes. However, gathering genetic information is not feasible for all taxa or populations, particularly in the tropical regions. Identifying proxies for inferring such values has thus become essential. Here, we built on the niche centrality hypothesis (NCH; or central-abundance hypothesis) and the nearly neutral theory of evolution (NNT) to identify some of such proxies using a montane tropical conifer species-pair as model. The NCH predicts more genetic diversity under optimal ecological conditions, which should also allow for more efficient purifying selection, according to the NNT.
Location: The Transmexican Volcanic Belt, central Mexico.
Taxa: A fir species-pair endemic to central Mexico, Abies flinckii and A. religiosa.
Methods: We estimated patterns of genetic diversity from nuclear SSRs (A, HE), and gene-coding sequences (πS, πN), together with the efficacy of purifying selection, measured as πN/πS. After testing for niche overlap, we used several geographic and ecological proxies (i.e. longitude, latitude, elevation, estimated area, and distance to the niche centroid in the present and in the LGM) to predict genetic diversity and πN/πS using general linear models.
Results: Populations at the west of the Trans Mexican Volcanic Belt (TVB) had lower genetic diversity than populations in the east of this mountain chain. Both species had significant niche overlap. The principal predictors for neutral genetic diversity (HE, A and πS) were longitude and latitude, followed by the current distance to the niche centroid; the efficiency of purifying selection was mostly accounted for by the current distance to the niche centroid (which was also correlated to elevation). No correlation was observed between genetic diversity or πN/πS and current population area.
Main conclusions: Historical and ecological factors have to be taken into account for explaining the amounts of genetic diversity in mountain tropical species. Following the NTT, populations closer to the niche centroid are more efficient at eliminating slightly deleterious mutations than marginal stands, independently of their size or geographical location (longitude). Expanding the central-abundance theory within the scope of the NTT might help reconciling conflicting views concerning the extent of its empirical support.
Methods
We sampled needles for natural populations of two species Abies flinckii and A. religiosa in central Mexico. We sequenced 11 gene-coding regions with Sanger sequencing and four nucelar SSRs. The table 1 shows details (n= sample size).
Population | Species | n =Sequencing coding regions | n= Nuclear SSRs | Longitude | Latitude | Elevation |
1 (AF14) | A. flinckii | 4 | 20 | -100.75 | 19.583 | 2340 |
2 (AF16) | A. flinckii | 7 | 20 | -101.35 | 19.333 | 2250 |
3 (AF17) | A. flinckii | 7 | 18 | -102.95 | 18.767 | 2500 |
4 (AF18) | A. flinckii | 5 | 22 | -104.716 | 20.2 | 2100 |
5(AF19) | A. flinckii | 7 | 20 | -105.000 | 20.35 | 2490 |
6 (AF20) | A. flinckii | 7 | 20 | -103.933 | 19.45 | 2500 |
8 (AR12) | A. religiosa | 7 | 21 | -99.80 | 19.183 | 3240 |
9(AR13) | A. religiosa | 7 | 20 | -100.18 | 19.433 | 2800 |
10 (AR15) | A. religiosa | 7 | 21 | -100.817 | 19.667 | 2880 |
11 (AR21) | A. religiosa | 7 | 19 | -103.95 | 19.45 | 2500 |
12 (AR22) | A. religiosa | 7 | 18 | -103.583 | 19.583 | 3330 |
13 (AR45) | A. religiosa | 7 | 22 | -97.35 | 18.967 | 3060 |
14 (AR48) | A. religiosa | 7 | 21 | -97.15 | 19.517 | 3510 |
15 (AR49) | A. religiosa | 7 | 19 | -98.083 | 19.683 | 2760 |
16 (AR53) | A. religiosa | 7 | 19 | -98.7 | 20.15 | 2940 |
17 (AR54) | A. religiosa | 7 | 20 | -98.683 | 19.083 | 3330 |
18 (AR55) | A. religiosa | 7 | 20 | -102.317 | 19.383 | 3030 |
19 | A. religiosa | 7 | 20 | -99.267 | 19.223 | 3369 |
20 | A. religiosa | 19 | -98.055 | 19.253 | 3358 | |
21 | A. religiosa | 20 | -103.642 | 19.521 | 2928 | |
Usage notes
There are two files nuclear SSRs gene pop (.gen) for each species.
- micros_flinckii.gen (Nuclear SSRs for Abies flinckii)
- micros_religiosa.gen (Nuclear SSRs for Abies religiosa)
Code: A. flinckii = Abies flinckii
14 = Abies flinckii, population 1
16 = Abies flinckii, population 2
17 = Abies flinckii, population 3
18 = Abies flinckii, population 4
19 = Abies flinckii, population 5
20 = Abies flinckii, population 6
A. religiosa = Abies religiosa
12 = Abies religiosa, population 8
13 = Abies religiosa, population 9
15 = Abies religiosa, population 10
21 = Abies religiosa, population 11
22 = Abies religiosa, population 12
45 = Abies religiosa, population 13
48 = Abies religiosa, population 14
49 = Abies religiosa, population 15
53 = Abies religiosa, population 16
54 = Abies religiosa, population 17
55 = Abies religiosa, population 18
Abies religiosa, population 19
AbM = Abies religiosa population 20
Abies religiosa, population 21.
There are eleven fasta files with the alignments for each species/populations (.fas)
Thera are two files (.csv) with the occurence points used for ecological niche modellings.